Solutions Engineer Jobs in Pittsburgh.
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Staff Security Engineer
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Who we are
Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.
The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone.
At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn.
What we are looking for
Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all.
We're searching for a Staff Security Engineer to join our Enterprise Security Engineering team, reporting to the Technical Lead Manager of Security Engineering.
Aurora is scaling its autonomous trucking operations, and the security foundations protecting our employees, devices, internal systems, and data need to scale with us. We're looking for a deeply technical enterprise security engineer who is as comfortable in a code editor as in a security console — you build the systems that make Aurora's security operations possible. This is a role for someone who can architect robust enterprise security solutions, write the code to implement them, and partner across Engineering and IT to make sure security is embedded from the start, not bolted on at the end.
This is not a security operations-only role. It sits squarely in enterprise security engineering, where the work is designing, building, and owning the platforms, integrations, and automation that power Aurora's internal security posture at scale.
In this role you will
- Own the architecture and implementation of Aurora's enterprise security controls — designing the systems and integrations that protect Aurora's endpoints, identities, internal infrastructure, and SaaS environment.
- Design and build Aurora's security telemetry and detection infrastructure, including log pipelines, SIEM integrations, and alerting frameworks — in partnership with the Security Operations Engineer who owns ongoing tuning and rule development.
- Define and enforce enterprise security standards, conducting architecture and design reviews to ensure alignment with Aurora's security posture and risk tolerance.
- Partner with IT, Infrastructure, and Engineering teams to embed security requirements early — shifting left on corporate IT initiatives before they become technical debt.
- Build automation and tooling that extends the capabilities of Aurora's security platforms, reduces manual operational burden, and scales the team's impact.
- Serve as the escalation point for enterprise security incidents requiring engineering-level investigation or remediation, and participate in the team's on-call rotation.
- Translate security strategy into concrete, executable engineering projects with clear milestones and measurable outcomes.
Required qualifications
- 12+ years of hands-on experience in enterprise security engineering or corporate information security — specifically securing employee-facing systems, endpoints, identities, and internal infrastructure (not product or application security).
- Proficiency in at least one programming language, used in a security context — writing production-quality automation, integrations, or internal tooling (the team primarily uses Go; Python is also common).
- Experience architecting and integrating enterprise security platforms — designing API integrations, automating workflows, and building tooling that extends platform capabilities across domains such as EDR/XDR, MDM, IAM/IGA, DLP, SaaS security, cloud security, or PKI.
- Experience designing and building security telemetry pipelines and detection infrastructure — log ingestion, normalization, SIEM integration, and alerting architecture.
- Experience leading cross-functional security engineering projects — defining scope, driving execution, and aligning stakeholders across Engineering and IT.
- Track record of conducting security architecture reviews and translating findings into actionable, risk-prioritized remediation plans.
- Experience evaluating security posture and identifying systemic gaps, with a bias toward building durable solutions rather than one-off fixes.
Desirable qualifications
- Experience with Zero Trust architecture and identity-centric security models (BeyondCorp-style or similar).
- Familiarity with NIST CSF, MITRE ATT&CK, and CIS Benchmarks as engineering inputs — used to inform what to build and how to validate it, not just as compliance checkboxes.
- Hands-on AWS security experience (SCPs, GuardDuty, Security Hub, IAM, etc.) and familiarity with integrating cloud security signals into a corporate security platform.
- Experience with applied cryptography and PKI in a production enterprise environment — certificate lifecycle management, CA design, or secrets management.
- Familiarity with securing AI/ML platforms or applications built on LLMs, RAG pipelines, or MCP-based architectures.
- Security certifications such as CISSP, GCED, GREM, or similar (valued but not required).
The base salary range for this position is $171,000 - $247,000 per Year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.
#Mid-Senior
Working at Aurora
At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks.
We believe in-person work increases collaboration, empathy and our ability to lead effectively. As a result, we operate in a hybrid work environment where Aurorans are in office at least 3 days per week.
Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom.
Our commitment to safety
At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organization’s long-term success by prioritizing working safely, no matter what.
Our commitment to inclusion
Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at careersiteaccommodations@aurora.tech.
For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora’s California Employment Privacy Policy.
Ready to apply?
Apply to Aurora Innovation
Senior Software Engineer - Jobs Platform
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Latitude AI (lat.ai) develops automated driving technologies, including L3, for Ford vehicles at scale. We’re driven by the opportunity to reimagine what it’s like to drive and make travel safer, less stressful, and more enjoyable for everyone.
When you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – all dedicated to making a real, positive impact on the driving experience for millions of people.
As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.
Meet the team:
At Latitude, the Overwatch team builds the systems that run and manage large amounts of computing work across the organization. This work helps engineers train models, test software, and move data reliably at scale. The team owns the platforms that schedule and monitor long-running jobs and keep shared computing resources running efficiently. In addition, the team develops systems that deliver software and data to vehicles and collect logs and telemetry from real-world driving.
What you’ll do:
- Build and improve systems that orchestrate, schedule, run, and monitor large numbers of ML jobs used across the company for training automated driving features
- Design reliable software that handles failures, retries, and high load while keeping results accurate and timely
- Build and maintain backend services and APIs that support job submission and reliable execution of long-running work
- Investigate production issues, identify root causes, and implement fixes that prevent repeat failures
- Review designs and code to ensure solutions are simple, reliable, and scalable over time
- Collaborate closely with infrastructure, machine learning and data science teams to ensure computing systems are reliable and being optimally used
- Build with scale and maintainability in mind, while rapidly iterating on new ideas
What you'll need to succeed:
- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience, or PhD)
- Experience in designing high-scale distributed systems that meet user requirements
- Prior experience building or operating large-scale job scheduling or workload orchestration platforms, such as container-based or batch computing systems used to manage shared compute resources
- Expertise in back-end languages (e.g., Kotlin, Java, Go, Python) and frameworks
- Experience designing and building distributed systems using modern backend patterns for reliability, coordination, and asynchronous processing
- At least 6+ years of experience in a related field where actively coding & designing 80% of the time
- Comfort working in a fast-moving environment with evolving requirements, where ideas are tested quickly and real user impact guides decisions
Nice to have:
- Exposure to performance tuning, cost optimization, or capacity planning for compute-intensive workloads
- Experience working on large-scale computing platforms that manage shared resources and competing workloads
What we offer you:
- Competitive compensation packages
- High-quality individual and family medical, dental, and vision insurance
- Health savings account with available employer match
- Employer-matched 401(k) retirement plan with immediate vesting
- Employer-paid group term life insurance and the option to elect voluntary life insurance
- Paid parental leave
- Paid medical leave
- Unlimited vacation
- 15 paid holidays
- Daily lunches, snacks, and beverages available in all office locations
- Pre-tax spending accounts for healthcare and dependent care expenses
- Pre-tax commuter benefits
- Monthly wellness stipend
- Adoption/Surrogacy support program
- Backup child and elder care program
- Professional development reimbursement
- Employee assistance program
- Discounted programs that include legal services, identity theft protection, pet insurance, and more
- Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives
Learn more about Latitude’s team, mission and career opportunities at lat.ai!
The expected base salary range for this full-time position in California is $179,200 - $268,800 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude’s annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements.
Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.
Ready to apply?
Apply to Latitude AI
Senior Analytics Engineer - Autonomy Analytics
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Latitude AI (lat.ai) develops automated driving technologies, including L3, for Ford vehicles at scale. We’re driven by the opportunity to reimagine what it’s like to drive and make travel safer, less stressful, and more enjoyable for everyone.
When you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – all dedicated to making a real, positive impact on the driving experience for millions of people.
As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.
Meet the team:
The Autonomy Analytics team is responsible for evaluating the performance of our autonomous software using data, statistics, and machine learning. Combining data from real-world testing with our extensive simulations, our team builds the metrics and analytics that ensure our product is safe, reliable, and delights our customers.
Our team is spread geographically with some members on-site in Pittsburgh, Palo Alto, and Dearborn. Others work fully remotely.
What you’ll do:
- Translate loosely defined questions into clear requirements, metric definitions, and analytical deliverables
- Partner closely with software development teams, test engineering, product, and analytics partners to understand needs and deliver trusted data products
- Build and maintain scalable data models in Google BigQuery and similar cloud data platforms to support reporting, analysis, and operational decision-making
- Develop dashboards and lightweight data applications in Apache Superset, Plotly Dash, or similar tools for technical and business stakeholders
- Investigate source data, identify quality issues, and implement durable fixes that improve accuracy, consistency, and reliability
- Create reusable datasets, testing practices, and documentation that strengthen trust in data and improve self-service access
- Balance near-term dashboard development with long-term data modeling work to support both speed and scale
- Communicate findings, assumptions, and tradeoffs clearly to internal stakeholders and external platform or data partners as needed
What you'll need to succeed:
- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience, or PhD)
- Experience building and maintaining analytics-ready data models in Google BigQuery or a similar cloud data warehouse
- Experience using dbt or a similar data transformation framework to develop tested, documented, and maintainable data pipelines
- Experience designing dashboards and analytical applications in Apache Superset, Tableau, or similar reporting and visualization tools
- Strong SQL skills, including complex transformations, data validation, and query optimization
- Experience with Python for data analysis and application development, including the ability to contribute to and maintain Plotly Dash dashboards
- Demonstrated ability to succeed in ambiguous environments by defining requirements, shaping metrics, and creating structure from incomplete problem statements
- Experience partnering with software development, test engineering, product, or similar cross-functional teams to deliver measurable outcomes
- Strong foundation in data modeling, dashboard design, documentation, and quality assurance practices
- Strong written and verbal communication skills with the ability to explain analytical concepts and findings to varied audiences
Nice to have:
- Experience supporting autonomous vehicle development or other complex hardware and software products
- Experience working with telemetry, operational, or product usage data at scale
- Experience building shared metrics and self-service reporting solutions for engineering and product organizations
- Experience with front-end technologies such as HTML, CSS, JavaScript, or React to support customization and enhancement of data applications and dashboards
What we offer you:
- Competitive compensation packages
- High-quality individual and family medical, dental, and vision insurance
- Health savings account with available employer match
- Employer-matched 401(k) retirement plan with immediate vesting
- Employer-paid group term life insurance and the option to elect voluntary life insurance
- Paid parental leave
- Paid medical leave
- Unlimited vacation
- 15 paid holidays
- Daily lunches, snacks, and beverages available in all office locations
- Pre-tax spending accounts for healthcare and dependent care expenses
- Pre-tax commuter benefits
- Monthly wellness stipend
- Adoption/Surrogacy support program
- Backup child and elder care program
- Professional development reimbursement
- Employee assistance program
- Discounted programs that include legal services, identity theft protection, pet insurance, and more
- Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives
Learn more about Latitude’s team, mission and career opportunities at lat.ai!
The expected base salary range for this full-time position in California is $179,200 - $268,800 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude’s annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements.
Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.
Ready to apply?
Apply to Latitude AI
Site Reliability Engineer (Senior or Staff), Atlas
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The Team
This role can sit in our NYC HQ on a hybrid basis, or it can be fully remote while working from a location based in either Eastern or Central time zones. We are looking for an experienced Senior Engineer for our SRE, Atlas team to support, maintain and grow the Atlas platform. As a senior SRE, you will be expected to be able to design & build complex systems, operate with autonomy and act as owner for everything you do.
The SRE Atlas team works alongside the various Atlas software engineering teams to provide expertise about running systems at scale, build new tooling and automation and perform essential maintenance of the Atlas fleet.
This is an SRE team, which means you can expect a highly hands-on approach, tackling the technical challenges of implementing large scale solutions that have the ability to impact our customer’s most crucial workloads.
Role Overview
We are seeking a talented Site Reliability Engineer (SRE) with a strong infrastructure background. This role requires engineers to have a customer-first mindset to ensure that everything we do results in a stronger product and a better experience for all Atlas customers.
The ideal candidate should
- Have 5+ years of experience running critical systems at scale
- Value efficiency in processes and operations, and display a preference for automation over manual processes (“allergic to ops work”)
- Be familiar with a major cloud provider (AWS, Azure, or GCP) and possess the ability to build and operate systems in a multi-cloud environment
- A strong understanding of how to run a large scale Linux environment, including low level fundamentals
- Firm grasp of at least one modern programming language, beyond basic scripting (Go, Ruby, Python)
- Solid understanding of web and network protocols and standards (HTTP, TLS, DNS, etc)
Special Requirements:
- Be a US Citizen
Expectations
- Participate in the development of a reliable and resilient multi-cloud platform that hosts business critical applications for a wide & varied range of customer applications
- Collaborate with service-owning teams to provide internal support, solve technical challenges and adapt or build tooling to solve novel use cases in a generic fashion
- Participate in a 24/7 on-call rotation to swiftly resolve issues related to any disruption of our customer facing Atlas fleet, ensuring minimal disruption and high availability
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Req ID: 426187
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
Ready to apply?
Apply to MongoDB
Site Reliability Engineer (Senior or Staff), Storage Layer Services (SLS)
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MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently.
You will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You’ll join a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture.
This role can be based out of our Boston, New York City, Raleigh, Miami, Pittsburgh or remotely in the United States while physically based in an Eastern or Central time zone location.
The ideal candidate should
- Have 6+ years of experience working on software development and operating distributed systems
- Proficiency in Python, Go, or a similar language
- Have operated or supported stateful storage or database systems at scale, and are comfortable with durability, consistency, and recovery trade-offs.
- Possess a customer-focused mindset
- Value efficiency in processes and operations
- Prefer automation over manual processes. We are a small team of software engineers with a strong bias towards software solutions to avoid toil
- Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource utilization, and accelerate time-to-market
- Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure
- Understanding of Linux operating system internals and networking concepts (e.g., TCP/IP, DNS, TLS, routing)
Responsibilities
- Work on our multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineering needs
- Build for reliability, making services and infrastructure available, resilient, fault-tolerant, and self-healing
- Identify and configure key metrics to detect incidents and quantify service health, availability, and performance
- Participate in a 24/7 on-call rotation to resolve issues involving the storage infrastructure
- Become an expert in infrastructure performance, helping us optimize from the application level all the way to the kernel
Strong candidates may also have experience with:
- Leading major architectural shifts, such as moving from legacy storage stacks to new multi-tenant storage architectures, including planning and executing large-scale data and workload migrations with tight availability and durability requirements
- Managing and scaling infrastructure across multi-cloud environments (AWS, GCP, or Azure)
- Designing secure, multi-tenant runtime environments at scale
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Req ID: 1273396252
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
Ready to apply?
Apply to MongoDB
Staff Client Platform Engineer
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Who we are
Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.
The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone.
At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn.
What we are looking for
Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all.
We're searching for a Staff Client Platform Engineer to join our Enterprise Site Reliability (SRE) team to lead the management of our enterprise Windows, Mac, and Ubuntu clients. The team is responsible for designing, implementing, and maintaining scalable and secure client device infrastructure. They also automate device deployment, configuration, and management processes.
This role will contribute to delivering the benefits of self-driving by leading the development of tailored client device solutions that address Aurora-wide and team-specific requirements for software and hardware development and manufacturing.
In this role you will
- Guide the approach and execution of the Client Platform Engineering Team
- Plan, design, and implement scalable solutions to manage Aurora's physical and virtual client platforms (Macs, Windows, Ubuntu) to ensure they receive security patches, configuration, and software package updates
- Partner with IT Support, InfoSec, and Developer Experience on strategy and implementation of client platform management solutions
- Handle escalations from IT Support, with an emphasis on mentoring and empowering IT Support to address similar problems
- Participate in the Enterprise SRE 24/7 on-call rotation
Required qualifications
- Experience of at least 8 years in Client Platform engineering and at least 3 years in leading engineering solutions (design to implementation) at scale.
- Expertise with client device lifecycle management, including experience across multiple client operating systems and various hardware platforms.
- Experience with MacOS, Windows, and Linux system administration.
- Experience deploying configuration management tools such as Intune, Kandji, Puppet, Ansible, or Chef.
- Experience with automation and tool development, preferably using Powershell, Go, or Python.
- Strong change management skills, including rollout planning and communication, and collaborating with stakeholders.
- Understanding of client endpoint security concepts and experience applying security hardening to client devices, such as CIS Benchmarks.
- Outstanding written and verbal communication skills that drive executional impact at scale.
- Experience with automating testing for imaging, provisioning, and configuration management.
Desirable qualifications
- Experience working within cloud environments such as AWS, GCP, or Azure.
- Experience in environments deploying containerized workflows, using tools such as Docker or Kubernetes.
- Familiarity with SRE concepts such as SLIs, SLOs, SLAs, incident response, and best practices and partnering with teams on them.
- Experience with Infrastructure as Code (IaC) tools such as Terraform, Pulumi, or CloudFormation
The base salary range for this position is $163,000 - $236,500 per Year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.
Working at Aurora
At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks.
We believe in-person work increases collaboration, empathy and our ability to lead effectively. As a result, we operate in a hybrid work environment where Aurorans are in office at least 3 days per week.
Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom.
Our commitment to safety
At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organization’s long-term success by prioritizing working safely, no matter what.
Our commitment to inclusion
Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at careersiteaccommodations@aurora.tech.
For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora’s California Employment Privacy Policy.
Ready to apply?
Apply to Aurora Innovation
Internship - Robotics Engineer
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Company Name: Hellbender Inc.
Job Title: Robotics Engineering Internship
Department: Engineering
Report to: Engineering Manager
Who we are:
Hellbender Inc. is a Pennsylvania Benefit Corporation who partners with innovators to mature their Artificial Intelligence enabled computing sensors and produce their solutions onshore at prototype to high volumes.
Hellbender is intentionally forming an inclusive work environment and is committed to uplifting the historically marginalized identities including veterans, women, trans and non-white races in our community and industry.
Job Summary:
At Hellbender, you will have the opportunity and responsibility to generate innovative solutions
to address unique issues on a variety of real world problems. As an intern, you will have the
same autonomy as our junior engineers and the mentorship of our senior staff. Our program is
designed to teach you the full product development life cycle and the work will take you back
and forth from the white board to the automated manufacturing line. The coding will consist of
Real-Time/Object Oriented C, C++, and Python development in an embedded Linux
environment.
Eligibility Requirements
An ideal candidate would have prior internship experience at a manufacturing or engineering
based organization. We accept college masters and PhD level students.
Please note that this is a full time, on-site position.
- 3.0 or higher cumulative GPA preferred
- Enrolled in an accredited U.S. college or university
- Classification as a graduate student (master’s or doctoral level)
- Must be authorized to work in the U.S.
- Must be willing to work onsite
Essential Duties and Responsibilities:
- Working on embedded platform software in a Linux-based environment
- Writing event-driven and asynchronous applications primarily in C, C++ and Python
- Writing software that communicates with and controls other devices over interfaces
including CAN, UART, I2C, SPI and others - Using oscilloscopes, protocol analyzers, multimeters, and other tools for electronic
diagnostics - Define requirements for specific functionality and coordinate with hardware, software
manufacturing teams - Demonstrate proficiency in data analysis, programming, and software engineering
Work Location: UPARC Pittsburgh
Opportunity for advancement:
Hellbender is a growing business and follows a policy that prioritizes internal promotions. As new positions are created new opportunities for advancement will be created as well.
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Apply to HELLBENDER Inc.
Site Civil Engineer PE
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We seek to move the world forward through innovative thinking.
Woolpert is an award-winning, global leader in architecture, engineering, and geospatial services. We blend design excellence with cutting-edge technology to deliver exceptional client value. Our team is passionate about their work and committed to building the next generation of industry leaders, and as a certified Great Place to Work®, Woolpert embraces progress and innovation to create limitless opportunities for career growth.
Position Overview
Woolpert is hiring a Site Civil Engineer (PE) to join our dynamic Land Development Engineering team. This position reports to the Engineering Team Leader and is responsible for plan production, performing and reviewing design calculations, and assisting project teams with a variety of site/civil land development engineering projects. The Site Civil Engineer will work alongside teams to deliver flawlessly executed designs of site layouts, utilities, sanitary and storm sewer, grading and earthwork, erosion control, stormwater management systems and stormwater pollution prevention plans.
We are unable to provide visa sponsorship for this position. Applicants must already possess work authorization in the country the job is located. #LI-SN1
What You Will Do:
- Design and create site layout plans in alignment with client requirements and Woolpert standards.
- Utilize AutoCAD Civil 3D to develop concept plans, grading plans, and site designs.
- Provide technical support in site/civil design, hydrology/hydraulics, erosion and sedimentation control, and stormwater management
- Coordinate permitting with County and local municipalities. Experience with local municipalities is a plus.
- Multi-task, appropriately prioritize workflow and complete tasks.
- Work with project management team to identify impediments and develop / implement solutions to overcome obstacles.
- Perform pavement assessments and compiling data and reports
- Occasional field work, frequent local travel, and overnight travel as needed
- Other duties as assigned
What You Will Bring:
- Must have a Bachelor’s Degree in Civil Engineering or related field
- Minimum of 7 years related experience
- Professional Engineer (PE) license required
- Experience in Autodesk Civil 3D
- Demonstrated knowledge of AutoCAD, Civil 3D, Autodesk Vehicle Tracking and Storm and Sanitary Analysis software packages, PondPack, and Microsoft Suite products
- Experience in Hydraulics and Hydrology preferred.
- Must be able to respond effectively to sensitive inquiries from clients, regulatory agencies, and/or members of the business community.
- Demonstrated ability to organize and manage multiple tasks
- Ability to provide excellent client service
- Excellent written and verbal communication skills in a dynamic environment
- Strong organizational, time management, attention to detail and analytical skills
- Ability to work independently as well as in a team environment; offer constructive feedback and direction to support goals
Benefits You Will Love
Certified as a Great Place to Work, Woolpert is one of the fastest-growing architecture, engineering, and geospatial companies in the world. With over 75 offices and countless projects around the globe, you’ll work on meaningful assignments that improve quality of life around the world. In addition to offering competitive pay, we provide employees with a robust set of unique benefits, including:
- Freedom to Work program: Set your own schedule and location (as appropriate).
- Principal program: Earn the opportunity to become an owner of the firm.
- Flexible paid time off/vacation: Take time off when it makes sense for you and your team.
- Career development: Explore a wide range of learning and growth opportunities within and across industries.
- Health, life, vision, and dental insurance: Cover all your medical bases.
- Paid sick time, retirement plan, fitness reimbursement, pet insurance, identity protection, technology stipend, employee assistance program, and more!
Base pay offered may vary depending on job-related knowledge, skills, and experience.
Find out more about what Woolpert has to offer here: http://woolpert.com/about-us/
Woolpert is an equal-opportunity employer. Woolpert is committed to the full inclusion of all individuals. We recruit, train, compensate, and promote regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law. You may view more about EEO on our website: Equal-Employment-Opportunity-The-Law.pdf and EEO is the Law Poster Supplement.
Applicants who require an accommodation throughout the application and interview process should request this in advance by contacting askhr@woolpert.com.
If you need to reschedule or cancel your interview, please reach out to your recruiter by contacting recruiting@woolpert.com.
To all agencies: Please, no phone calls or emails to any employee of Woolpert or any of our subsidiaries about this requisition. All resumes submitted by search firms/employment agencies to any employee at Woolpert via email, the internet, or in any form and/or method will be deemed the sole property of Woolpert, unless such search firms/employment agencies were engaged by Woolpert's Talent Acquisition Team for this requisition and a valid agreement is in place. In the event a candidate who was submitted outside of Woolpert's applicant process is hired, no fee or payment of any kind will be paid.
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Senior Pre-Sales Systems Engineer, Enterprise - Pittsburgh
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We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry.
This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.
THE ROLE:
Are you passionate about driving innovation in the data storage industry? Are you skilled in crafting technical solutions that exceed customer expectations? If so, we have an exciting opportunity for you! Everpure (formerly Pure Storage), a leader in the data storage and flash technology space, is seeking a talented and motivated Senior Pre-Sales Systems Engineer to join our dynamic team.
As a Senior Pre-Sales Systems Engineer, you will play a crucial role in understanding our customers' unique challenges and tailoring Everpure solutions to meet their specific needs. Collaborating closely with the sales team, you will act as a technical expert during the sales process, helping to showcase the value of our products and services.
WHAT YOU’LL DO:
- Develop an exhaustive understanding of what drives a customer’s business and what motivates their decision making
- Connect the dots from technology solutions, inclusive of the Everpure portfolio and others from the ecosystem, to measurable customer business outcomes
- Partner closely with account managers, specialists and channel partners to create a seamless and holistic customer experience and strategy to drive revenue growth and net new business
- Delight customers and teammates with your technical leadership and domain expertise on storage products, distributed storage architectures, file systems, and competitive storage offerings in the DAS, NAS and SAN product spaces
- Take control of evaluations, benchmarks and system configurations
- Build and deliver technical product and architecture presentations with vigor to customers and lock in the technical win with clients and prospective accounts
- Capture requirements and translate Customer’s business needs into innovative solutions to accelerate their growth and capacity
- Seek out and spur new opportunities for interoperability, functional, and performance testing/validation
- Promote mutual roadmap and planning exchanges
- Liaise with product and technical marketing to produce materials (i.e. whitepaper, web presentations) that support overall alliance plans and objectives
- Stay current with the competition and ensure that materials accurately reflect the latest, differentiated solution positioning
- Move with market trends and competitive landscape to promote thought leadership within our organization
- Lead by example living the Everpure Values: Persistence, Creativity, Teamwork, Ownership and Customer-first
WHAT YOU BRING:
- Pre-sales experience is required
- 5 or more years of relevant experience, mixed among technology, design, and communications required. Experience supporting the sales of enterprise storage, networking, systems, cloud, or software to enterprise accounts preferred
- Deep understanding of the architecture, design and implementation of multi-tiered client/server and web-based computing solutions
- Must have a familiarity with modern web architecture a plus (LAMP stack, scale-out vs scale-up architectures, AWS well-architected framework, microservices architecture)
- Prior experience in targeting new prospects and converting them into clients
- Contribute significant portions and/or lead responses to RFPs, RFQs and RFIs
- Superior knowledge of current and emerging storage architectures (FC, iSCSI, NAS, OSD, SAN)
- Previous experience with Linux, NFS file systems and Linux distributed network environment
- Installation/configuration of distributed computing, multiprocessing, virtual memory subsystem, storage subsystems architecture, shared memory architectures, cache architectures, windowing systems
- Strong knowledge of digital transformation to a Cloud Native architecture, On-Prem, Public Cloud, Provisioning Automation, and Containers
- Knowledge of VMware, Local Area Networking, Ethernet, TCP/IP and general networking
- Familiarity with AWS, Azure, GCP, containers, k8s and microservices architectures a plus
- Curiosity and passion around technology and explaining and showing new technology platforms and concepts to customers
- Familiarity with storage-intensive applications and their requirements such as structured databases (SQL, Oracle) is highly desirable
- Excellent verbal and written interpersonal skills
#LI-REMOTE
#LI-JL4
Salary ranges are determined based on role, level and location. For positions open to candidates in multiple geographical locations, the base salary range is reflective of the labor market across the applicable locations.
This role may be eligible for incentive pay and/or equity.
There is no application deadline and we accept applications on an ongoing basis until the job is filled.
WHAT YOU CAN EXPECT FROM US:
- Innovation: We celebrate those who think critically, like a challenge, and aspire to be trailblazers.
- Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology™, Fortune's Best Workplaces in the Bay Area™, and certified as a Great Place to Work®!
- Team: We build each other up and set aside ego for the greater good.
And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out purebenefits.com for more information.
ACCOMMODATIONS AND ACCESSIBILITY:
Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at TA-Ops@purestorage.com if you’re invited to an interview.
OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM:
We’re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn’t just accepted but embraced. That’s why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership.
Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.
Join us and bring your best.
Bring your bold.
Pure and simple.
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Staff Robotics Software Engineer, Object Perception
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Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.
About the Role
We are looking for a Staff Robotics Software Engineer to join our Skills team, focusing on object perception for robot manipulation. This technical leadership role is deeply rooted in production robotics, where reliability, performance, and system behavior matter most. You will focus on integrating, adapting, and operationalizing perception systems within a full robotic stack, ensuring they perform robustly on real hardware in real environments.
In this high-impact role, you will act as a key decision-maker within the perception and skills stack, helping define system architecture, design principles, and technical direction across how perception connects to planning, control, and execution. You will shape how these systems come together end-to-end, influencing both current execution performance and the long-term scalability of the platform.
You will also work closely with AI/ML teams, evaluating and incorporating both learned and classical approaches, while driving the engineering decisions that turn models and algorithms into reliable, production-grade robot behavior.
About the Work
- Own object perception performance on the robot, from sensors through runtime behavior integration
- Lead the design, implementation, and deployment of perception pipelines for manipulation, including object pose estimation, depth reasoning, and scene understanding
- Work hands-on with real robots to debug, tune, and harden perception systems under real-world variability
- Collaborate with AI/ML teams to evaluate, integrate, train, and fine-tune perception models
- Explore and integrate off-the-shelf perception solutions and libraries where they meet performance and reliability needs
- Combine learned models with classical CV, geometry, and task structure to meet system-level requirements
- Define interfaces and contracts between perception, behaviors, and task planning to ensure reliable execution
- Build tools and workflows to evaluate perception performance across datasets, simulation, and hardware
- Help set technical direction and best practices for building robust, production-grade perception systems that are reliable, debuggable, and scalable in real-world robotic environments
About You
- B.S., M.S., or Ph.D. in Robotics, Computer Science, or a related engineering field
- 8+ years of professional experience building object perception systems for real robotic platforms
- Demonstrated experience as a tech lead or senior technical owner for complex robotics projects
- Experience working across learned models and classical perception approaches
- Experience training, fine-tuning, and evaluating perception models
- Strong experience writing production-quality C++ and Python code
- Hands-on experience with monocular vision, stereo vision, RGB-D sensing, or depth reconstruction
- Experience with perception libraries (OpenCV, Open3D, PCL, ROS perception, NumPy, scikit-image)
- You love solving hard perception problems, but your real passion is seeing those solutions work on a robot in the real world and having an impact
- You’re excited to work on hardware
- You enjoy debugging, testing, and iterating quickly in simulation and on the real robot
You Might Also Have
- Solid understanding of spatial reasoning
- Demonstrated ability to apply object perception model outputs (detection, segmentation, pose estimation) in manipulation pipelines
- Experience with structured 3D estimation (plane fitting, normal estimation, voxel maps, etc)
This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices.
The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.
In addition to base pay, our competitive total rewards package consists of the following for full-time employees:
- 401(k) Plan: Includes a 6% company match.
- Equity: Company stock options.
- Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
- Benefit Start Date: Eligible for benefits on your first day of employment.
- Well-Being Support: Employee Assistance Program (EAP).
- Time Off:
- Exempt Employees: Flexible, unlimited PTO and 10 company holidays, including a winter shutdown.
- Non-Exempt Employees: 10 vacation days, paid sick leave, and 10 company holidays, including a winter shutdown, annually.
- On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
- Parental Leave: Generous paid parental leave programs.
- Work Environment: A culture that supports flexible work arrangements.
- Growth Opportunities: Professional development and tuition reimbursement programs.
- Relocation Assistance: Provided for eligible roles.
- Annual Discretionary Bonus: Provided for eligible roles.
All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.
Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.
Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.
Apply Now: https://grnh.se/b444bbd04us
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Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!
At Duolingo, you’ll join a team that cares about finding innovative solutions to complex technical problems, running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful.
Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world.
About the role...
Duolingo's Monetization pillar builds the systems that fund our mission — from subscription packaging and advertising to ML-powered personalization, performance marketing, and beyond. As a Senior Engineering Manager, you'll lead a cross-functional product engineering team working on high-impact, revenue-generating systems that help Duolingo grow sustainably while keeping the product playful, transparent, and learner-first. Your team will build and scale systems across ads and paid growth — building signal and audience pipelines, powering creative experimentation, improving ad quality, optimizing budget allocation, and strengthening attribution and ROI guardrails. You'll partner closely with product, design, data science, machine learning, and marketing to define strategy and deliver results. Just as importantly, you'll create an environment where engineers do the best work of their careers — coaching, developing talent, and fostering a high-performing team culture.
🧠 You will...
- Co-lead a cross-functional pod with Product and Marketing to define strategy, success metrics, and an execution roadmap for Duolingo’s performance marketing engine, aligned to ROI guardrails and retained-user growth goals.
- Build and evolve the engineering systems that power paid growth at scale: creative experiment frameworks, audience/signal ingestion and privacy-safe list management, budget and bid optimization tooling, and reliable attribution and reporting pipelines.
- Collaborate with data science and ML partners to design experiments, apply personalization/targeting, and translate insights into product improvements and bookings growth.
- Own planning and execution for projects that directly impact revenue; identify the right team‑level metrics to optimize and protect delivery through clear milestones and risk management.
- Bring both technical and product perspectives to new ideas, enabling rapid hypothesis testing without sacrificing reliability, observability, or long‑term maintainability.
- Set and uphold engineering quality standards and practices that improve reliability, scalability, and operability across Ads systems.
✅ You have...
- Experience leading, managing, and building a team of software engineers.
- A track record of owning multi‑engineer, multi‑week technical projects to successful outcomes in a highly experimental, data‑driven environment.
- Strong product instincts and excellent written/verbal communication, with experience aligning diverse stakeholders across engineering, product, design, and analytics.
- Experience working closely with data, experimentation, or machine learning teams to inform prioritization and ship measurable impact (direct ML expertise not required).
- Demonstrated ability to raise the bar on engineering practices for reliability, scalability, and observability.
⭐ Exceptional candidates will have...
- Prior experience with advertising platforms, ad tech integrations, or building ad surfaces in mobile apps.
- Experience improving ad quality and monetization through experimentation, targeting, or programmatic levers, in partnership with business teams.
- Familiarity with COPPA‑compliant or kid‑friendly ad solutions and the trade‑offs of untargeted inventory.
- Background collaborating with sales/biz ops on direct or programmatic campaigns and translating market feedback into product improvements.
- Experience leading teams that span multiple platforms (iOS, Android, backend) and partnering on ML‑powered personalization within consumer apps.
We post a multi-level salary range for all of our roles.
This is not inclusive of the rest of our awesome portfolio that includes equity compensation and world-class benefits. Our salary ranges are the same for all US locations. Your recruiter can share more details about the range for a specific level during the hiring process. The actual salary within the range is determined by many factors including but not limited to, skills, experience, education, and internal equity.
Take a peek at how we care for our employees' holistic well-being with our benefits here.
We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com.
Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice.
Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information.
Sign up for job alerts here.
Ready to apply?
Apply to Duolingo
Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!
At Duolingo, you’ll join a team that cares about finding innovative solutions to complex technical problems, running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful.
Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world.
About the role...
Duolingo's Monetization pillar builds the systems that fund our mission — from subscription packaging and advertising to ML-powered personalization, performance marketing, and beyond. As a Senior Engineering Manager, you'll lead a cross-functional product engineering team working on high-impact, revenue-generating systems that help Duolingo grow sustainably while keeping the product playful, transparent, and learner-first. Your team will build and scale systems across ads and paid growth — building signal and audience pipelines, powering creative experimentation, improving ad quality, optimizing budget allocation, and strengthening attribution and ROI guardrails. You'll partner closely with product, design, data science, machine learning, and marketing to define strategy and deliver results. Just as importantly, you'll create an environment where engineers do the best work of their careers — coaching, developing talent, and fostering a high-performing team culture.
🧠 You will...
- Co-lead a cross-functional pod with Product and Marketing to define strategy, success metrics, and an execution roadmap for Duolingo’s performance marketing engine, aligned to ROI guardrails and retained-user growth goals.
- Build and evolve the engineering systems that power paid growth at scale: creative experiment frameworks, audience/signal ingestion and privacy-safe list management, budget and bid optimization tooling, and reliable attribution and reporting pipelines.
- Collaborate with data science and ML partners to design experiments, apply personalization/targeting, and translate insights into product improvements and bookings growth.
- Own planning and execution for projects that directly impact revenue; identify the right team‑level metrics to optimize and protect delivery through clear milestones and risk management.
- Bring both technical and product perspectives to new ideas, enabling rapid hypothesis testing without sacrificing reliability, observability, or long‑term maintainability.
- Set and uphold engineering quality standards and practices that improve reliability, scalability, and operability across Ads systems.
✅ You have...
- Experience leading, managing, and building a team of software engineers.
- A track record of owning multi‑engineer, multi‑week technical projects to successful outcomes in a highly experimental, data‑driven environment.
- Strong product instincts and excellent written/verbal communication, with experience aligning diverse stakeholders across engineering, product, design, and analytics.
- Experience working closely with data, experimentation, or machine learning teams to inform prioritization and ship measurable impact (direct ML expertise not required).
- Demonstrated ability to raise the bar on engineering practices for reliability, scalability, and observability.
⭐ Exceptional candidates will have...
- Prior experience with advertising platforms, ad tech integrations, or building ad surfaces in mobile apps.
- Experience improving ad quality and monetization through experimentation, targeting, or programmatic levers, in partnership with business teams.
- Familiarity with COPPA‑compliant or kid‑friendly ad solutions and the trade‑offs of untargeted inventory.
- Background collaborating with sales/biz ops on direct or programmatic campaigns and translating market feedback into product improvements.
- Experience leading teams that span multiple platforms (iOS, Android, backend) and partnering on ML‑powered personalization within consumer apps.
We post a multi-level salary range for all of our roles.
This is not inclusive of the rest of our awesome portfolio that includes equity compensation and world-class benefits. Our salary ranges are the same for all US locations. Your recruiter can share more details about the range for a specific level during the hiring process. The actual salary within the range is determined by many factors including but not limited to, skills, experience, education, and internal equity.
Take a peek at how we care for our employees' holistic well-being with our benefits here.
We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com.
Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice.
Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information.
Sign up for job alerts here.
Ready to apply?
Apply to Duolingo
About Stack:
Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands.
About the Role:
As a Senior Software Engineer on the Tracking Team, you will drive the delivery of both classical and machine learning solutions to core tracking challenges within our self-driving system. A central function of the tracking team is the real-time, temporally consistent estimation of the local scene (including actors, obstacles, and map features) based on a history of sensor data. In this role, you will be instrumental in the design and delivery of algorithms and models that run onboard the AV, evaluating the perception system's performance against production requirements, and contributing to the long-term technical vision of the team.
Responsibilities:
- Work in a team to deliver state-of-the-art closed- and open- world tracking systems for L4 self-driving vehicles.
- Contribute to the technical direction of the tracking team and broader perception org.
- Write robust software for real-time, resource-constrained, safety-critical applications.
- Drive highly cross-functional features and work streams from problem statement to delivery.
- Proactively identify limitations with the existing perception system and drive improvements.
- Root-cause issues that arise onboard, and provide solutions.
- Align stakeholders with strong presentation and communication skills.
- Lead challenging technical topics and build consensus.
Qualifications:
- Experience architecting, training, and deploying ML models into real-world environments.
- Track record of driving applied research projects from start to completion, including conception, problem definition, experimentation, iteration, and finally publication or productization.
- Experience delivering perception/tracking solutions for real-time robotic applications.
- Knowledge and experience employing advanced probabilistic algorithms to solve problems involving uncertain inputs and imperfect models.
- Strong experience in software engineering and algorithm design.
- Fluency in Python and C++.
We are proud to be an equal opportunity workplace. We believe that diverse teams produce the best ideas and outcomes. We are committed to building a culture of inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity.
Check out our Privacy Policy.
Please Note: Pursuant to its business activities and use of technology, Stack AV complies with all applicable U.S. national security laws, regulations, and administrative requirements, which can restrict Stack AV’s ability to employ certain persons in certain positions pursuant to a range of national security-related requirements. As such, this position may be contingent upon Stack AV verifying a candidate’s residence, U.S. person status, and/or citizenship status. This position may also involve working with software and technologies subject to U.S. export control regulations. Under these regulations, it may be necessary for Stack AV to obtain a U.S. government export license prior to releasing its technologies to certain persons. If Stack AV determines that a candidate’s residence, U.S. person status, and/or citizenship status will require a license, prohibit the candidate from working in this position, or otherwise be subject to national security-related restrictions, Stack AV expressly reserves the right to either consider the candidate for a different position that is not subject to such restrictions, on whatever terms and conditions Stack AV shall establish in its sole discretion, or, in the alternative, decline to move forward with the candidate’s application.
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Senior Software Engineer, Windows/Desktop Applications - Pittsburgh, PA, USA
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The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies
- Lead the design, architecture, and development of native Windows desktop applications using Windows App SDK, WinUI (or related UI frameworks), C#, XAML, and — when needed — C++.
- Define and enforce best-practices for Windows desktop development across the codebase: code architecture, performance, memory usage, responsive UI, cross-version compatibility (Windows 10/11+), and maintainability.
- Drive accessibility efforts: integrate and validate support for accessibility APIs (e.g. Microsoft UI Automation or other relevant Windows accessibility frameworks), ensure UI controls, focus management, keyboard navigation, screen-reader support, and usability for users with disabilities.
- Collaborate closely with product designers, UX researchers, QA, and other stakeholders to shape feature planning, UI/UX architecture, and long-term roadmap for the Windows platform.
- Take ownership of full lifecycle of features: conception → design → implementation → testing → release → maintenance. Ensure quality, reliability, and consistency across releases.
- Identify, diagnose, and resolve complex bugs, performance bottlenecks, memory leaks, rendering issues, or compatibility problems — and propose robust architectural or design solutions.
Required:
- 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
- Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
- Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
- Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
- Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
- Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
- Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
- A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.
Preferred / Bonus:
- Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
- Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
- Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
- Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
- Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
- Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.
What we offer
- A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
- A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
- Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
- Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
- A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.
The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience
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Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.
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Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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Staff ML Engineer, Dynamic World Perception
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About Stack:
Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands.
About the Role:
The Dynamic World Perception team is responsible for real-time detection of road actors and properties. This includes developing occupancy networks and other perception algorithms to accurately identify and classify all dynamic elements within the driving environment. We're looking for a Staff or Senior Engineer to lead the development, maintenance, and enhancement of our long-range detection capabilities, ensuring the required safety and performance standards are met or exceeded.
Responsibilities:
- Lead initiatives in the team to deliver state-of-the-art closed-and open-world detection capabilities.
- Contribute to expansion and fusion of existing detection models to support improving performance and extending performance at range.
- Contribute to improvement of model frameworks, architecture, and data pipelines.
- Develop robust software for onboard vehicle deployment, optimizing for real-time, resource-constrained, and safety-critical environments.
- Drive highly cross-functional features and workstreams from problem statement to delivery.
- Contribute to the technical direction of the team and broader perception org.
- Align stakeholders with strong presentation and communication skills.
- Lead challenging technical topics and build consensus.
Qualifications:
- Extensive experience architecting, training, and deploying deep learning models into real-world environments.
- Track record of driving applied research projects from start to completion, including conception, problem definition, experimentation, iteration, and finally publication or productization.
- Experience delivering detection, segmentation, and/or tracking solutions for real-time robotic applications. Prior experience in sensor fusion is highly desirable.
- Strong experience in software engineering and machine learning algorithm design.
- Fluency in Python.
- Experience with C++.
We are proud to be an equal opportunity workplace. We believe that diverse teams produce the best ideas and outcomes. We are committed to building a culture of inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity.
Check out our Privacy Policy.
Please Note: Pursuant to its business activities and use of technology, Stack AV complies with all applicable U.S. national security laws, regulations, and administrative requirements, which can restrict Stack AV’s ability to employ certain persons in certain positions pursuant to a range of national security-related requirements. As such, this position may be contingent upon Stack AV verifying a candidate’s residence, U.S. person status, and/or citizenship status. This position may also involve working with software and technologies subject to U.S. export control regulations. Under these regulations, it may be necessary for Stack AV to obtain a U.S. government export license prior to releasing its technologies to certain persons. If Stack AV determines that a candidate’s residence, U.S. person status, and/or citizenship status will require a license, prohibit the candidate from working in this position, or otherwise be subject to national security-related restrictions, Stack AV expressly reserves the right to either consider the candidate for a different position that is not subject to such restrictions, on whatever terms and conditions Stack AV shall establish in its sole discretion, or, in the alternative, decline to move forward with the candidate’s application.
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Apply to Stack AV
Senior Software Engineer, Backend Infrastructure (Labeling)
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About Stack:
Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands.
About the Role:
As a Labeling Infrastructure Backend Engineer, you will design, build, and scale the mission-critical systems that power our data flywheel. You will be responsible for the high-performance architecture that manages massive datasets, orchestrates complex human-in-the-loop workflows, and integrates seamlessly with our machine learning pipelines. Your work ensures that our labeling operations are fast, reliable, and capable of handling the next order of magnitude in data volume.
- Architect Scalable Systems: Design and maintain robust, distributed backend services capable of managing millions of labeling tasks and high-throughput data streams with minimal latency.
- Optimize Data Pipelines: Build and refine processes to ingest raw data from diverse sources and deliver high-quality labeled outputs to model training environments.
- ML Integration: Implement "Active Learning" and "Model-in-the-loop" features, enabling automated pre-labeling and intelligent task prioritization to maximize human efficiency.
- API Development: Develop and document clean, performant APIs that serve as the bridge between our front-end labeling tools, third-party vendors, and internal ML platforms.
- Infrastructure & DevOps: Manage cloud-native infrastructure to ensure 99.9+% availability, focusing on observability, automated scaling, and cost-efficiency.
- Cross-Functional Collaboration: Partner with AI team and Product Managers to translate complex data requirements into technical specifications and durable backend solutions.
Responsibilities:
- Play a key role in designing and building the next generation of Stack’s Labeling Infrastructure.
- Implement robust architecture to track the lifecycle of every log from unlabeled to production-ready.
- Build scalable backend services for automated QA to and AI-assisted labeling plugins.
- Write high quality Python and SQL.
Qualifications:
- Proven track record of building scalable, reliable infrastructure in a fast-paced environment.
- Ability to collaborate effectively across teams.
- Strong development experience with Python and SQL.
- Prior experience with Trino, Flyte / Airflow, and Kubernetes are a plus.
- Prior experience with ML Ops workflows is a plus.
- Prior experience building and managing data platforms for multimodal ML needs is a plus.
- Prior experience with agentic workflows is a plus.
- Prior experience in autonomous vehicles (AV) is a plus.
We are proud to be an equal opportunity workplace. We believe that diverse teams produce the best ideas and outcomes. We are committed to building a culture of inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity.
Check out our Privacy Policy.
Please Note: Pursuant to its business activities and use of technology, Stack AV complies with all applicable U.S. national security laws, regulations, and administrative requirements, which can restrict Stack AV’s ability to employ certain persons in certain positions pursuant to a range of national security-related requirements. As such, this position may be contingent upon Stack AV verifying a candidate’s residence, U.S. person status, and/or citizenship status. This position may also involve working with software and technologies subject to U.S. export control regulations. Under these regulations, it may be necessary for Stack AV to obtain a U.S. government export license prior to releasing its technologies to certain persons. If Stack AV determines that a candidate’s residence, U.S. person status, and/or citizenship status will require a license, prohibit the candidate from working in this position, or otherwise be subject to national security-related restrictions, Stack AV expressly reserves the right to either consider the candidate for a different position that is not subject to such restrictions, on whatever terms and conditions Stack AV shall establish in its sole discretion, or, in the alternative, decline to move forward with the candidate’s application.
Ready to apply?
Apply to Stack AV
About Us
Are you ready to build the future of supply chain? At Gather AI, we're not just creating software; we're pioneering a new era of warehouse intelligence. We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery.
If you're looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.
About You
As a Solutions Engineer at Gather AI, you will contribute to our efforts to expand market reach, drive revenue growth, and establish strategic partnerships with clients seeking to unlock the potential of AI-driven insights. You will contribute materially to supporting a high-performing sales team and collaborate closely with cross-functional stakeholders to drive the adoption of our transformative technology solutions.
We’re looking for a passionate, pre-sales engineer with demonstrated success in enterprise sales of automation solutions. Experience in warehouse automation/supply chain/logistics technology. You will be comfortable working in a fast-paced start-up/scale up environment, be an independent self-starter and have previous experience in scaling a sales organization. You will be empowered to make a tangible impact at a company where innovative ideas are valued and contributions make a difference.
What You'll Do
- Drive high growth sales while expanding our market presence across the US.
- Support strategic sales plans to achieve revenue targets and drive market penetration in key sectors and geographic markets.
- Support sales in identifying and pursuing new business opportunities, including strategic partnerships, alliances, and enterprise sales opportunities.
- Build and maintain strong relationships with clients, understanding their business challenges and objectives to provide tailored AI solutions that deliver measurable value.
- Track technical sales metrics and trends to ensure continued growth
- Support sales in developing business cases and gaining alignment from technical and operational decision makers
- Develop technical objection handling guidelines to support the sales team in effectively articulating the value proposition of Gather AI's solutions and overcoming customer objections.
- Stay abreast of industry trends, competitive dynamics, and customer needs to inform sales strategies and tactics effectively.
- Collaborate closely with product management, marketing, and other internal teams to align sales efforts with product development, marketing campaigns, and business objectives
What You'll Need
- Bachelor's degree in engineering, or a related field
- 3+ years of experience in enterprise sales in supply chain technology or robotics industry.
- Have a working knowledge of the following and ability to understand customer needs in these areas:
- Demonstrated success in selling high-value, complex solutions to enterprise clients, with a focus on consultative selling and ROI-based discussions.
- Strong understanding of supply chain operations, logistics, and related challenges.
- Proven track record of success in application engineering pre-sales roles.
- Understanding of AI, machine learning, and data analytics, with the ability to articulate complex technical concepts to non-technical audiences.
- Proficiency in using CRM tools to manage and track sales activities
- Strong team collaboration skills with a track record of activating commercial teams to achieve high sales performance.
- Excellent communication and presentation skills, with the ability to influence and persuade key stakeholders at all levels.
- Strategic thinker with a results-oriented mindset and a passion for driving growth and innovation.
- Entrepreneurial spirit with the ability to thrive in a fast-paced, dynamic environment.
Bonus points for...
- Experience collaborating in enterprise selling methods, especially in industrial automation
- Experience in buying and implementing automation at a major ecommerce, retail, or logistics company
- Startup experience, and/or experience working in fast-paced environments
- Advanced degree in business, marketing, engineering, or a related fiel
Compensation and Benefits
- Compensation package will include equity
- Comprehensive medical, dental, vision and life insurance
- Very flexible schedule
- Unlimited PTO and flexible scheduling
If this sounds like a good fit we’d love to meet you. Robotics is the future and we’re leading the charge with our software-only business model. Come help us change the world!
Ready to apply?
Apply to Gather AI
AI Engineer, Internal Enablement & Productivity
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Company Description
Job Description
We are seeking an experienced AI Engineer to join our AI Enablement team, focused on rapidly increasing internal employee productivity and operational efficiency across the company by scaling robust AI integrations and agentic workflows. This role will be central to designing and deploying agents to handle complex, end-to-end tasks, driving measurable improvements in how our core teams (e.g., Product, Engineering, Operations, and Customer Success) work. This strategic and execution-focused role will lead our internal AI Enablement roadmap, initially focusing deeply on improving core departments (e.g., Sales, Marketing, Product, Engineering, Operations, and Customer Success) through agentic automation.
You'll leverage best-in-class AI tools and AI agents (e.g. Gemini and other LLMs) to dramatically increase employee productivity, drive down operational costs, and enable our teams to deliver faster, better outcomes at scale. Your goal is to build our foundation for an AI-enabled future, implementing AI-driven workflows and agents throughout the organization, starting with internal operations and coupling workflows across key functions like GTM.To do this job well, we are looking for someone who can demonstrate project(s) built on LLMs that showcases your skill at reliably automating complex tasks.
- Experience integrating and working with LLMs, with a strong understanding of their capabilities and limitations
- Experience integrating and working with agent frameworks (e.g. Claude Agent SDK, Google Anti-Gravity, OpenAI Agent SDK)
- Experience building observability, evaluation, and feedback loops for agent behavior (telemetry, prompt evaluation, regression testing, and reliability metrics).
- Experience working in highly ambiguous environments, and operate with urgency
- Startup experience, particularly in scaling products from zero to one
Strong Candidates have:
- Deep experience leveraging agents across applications and business workflows to drive meaningful impact
- Experience designing and deploying complex agentic systems using LLMs (e.g. deep research)
- Hands-on work with multi-agent coordination, routing, and tool orchestration
This role is a full-time position located out of our office in Arlington, VA or Pittsburgh, PA. This role may require up to 25% travel.
Scope of Responsibilities
- Designs and builds multi-agent systems with tool use, memory, routing, and planning to automate internal business processes and enhance employee capabilities.
- Develops Agent Skills and tools as modular, composable services that interact with backend systems, models, and data processing to increase internal team velocity.
- Contribute to the technical architecture and engineering standards for internal agentic systems, ensuring scalability, reliability, and maintainability across the organization.
- Assist with automated evaluation of agents, skills, and prompts across the entire product lifecycle to ensure reliable internal tools.
- Partner with internal Product, Engineering, GTM, and Operations teams to identify and implement AI-driven solutions to optimize their workflows and reduce operational costs.
How We Define Success (Key Metrics)Internal Team Enablement (Operations, Customer Success, Engineering)
- Operational Cost Savings: Reduce operational expenses for targeted teams through workflow automation via AI agents.
- Employee Productivity: Achieve measurable increases in internal team capacity and velocity through AI-driven workflows and tools.
- Internal Adoption Rate: Achieve a high adoption rate of new AI agents and enablement tools within key departments within the first 90 days.
- Accelerated Development: Reduce feature development timelines through AI-assisted coding, documentation, and testing tools.
Qualifications
- U.S. Citizenship is required
Required Skills:
- Bachelor's, Master’s, or Doctorate in Computer Science, Computer Engineering, Data Science, or a related field
- Minimum 3 years of experience building and deploying ML or LLM-powered systems in production environments
- Practical experience in building, developing, and productionizing machine learning systems
- Advanced software skills in Python and other programming languages
- Experience with common LLM algorithms and implementations, including coding agents (e.g. Claude Code and GenAI coding best practices).
- Hands-on experience with cloud infrastructure (e.g. AWS, GCP)
- A strong desire to learn and investigate new technologies
- Familiarity with Git source control management
- Ability to work collaboratively with little supervision
- A burning desire to work in a challenging fast-paced tech environment
- A burning desire to work in a challenging fast-paced tech environment
Desired Skills:
- Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Experience with modern front-end frameworks (e.g., React, Next.js, or similar) and API-driven UI architectures
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Forward Deployed Software Engineer
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Company Description
Job Description
Scope of Responsibilities
- Conduct customer site visits to diagnose and understand pain points
- Participate in the end-to-end software development of new feature functionality and design capabilities
- Iterate quickly to progressively unlock customer value
- Craft clean, testable, and maintainable code
Qualifications
- U.S. Citizenship is required
- Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent work experience
- 1+ years of front-end or back-end software development experience (SQL, Java and/or Typescript/React)
- Ability to work independently with little supervision
- A burning desire to work in a challenging, fast-paced tech environment
- Current possession of a U.S. security clearance or the ability to obtain one with our sponsorship
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Experience working within the boundaries of a federally accredited software environment
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Experience working in a customer-facing or consulting role
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Company Description
Job Description
We are seeking a Knowledge Engineer to join our Data Product & Operations team. In this role, you will build and maintain taxonomies, controlled vocabularies, and domain ontologies that bring structure to complex defense acquisition data. Working alongside data engineers and data scientists, domain experts, and product teams, you'll create semantic models that provide structured knowledge to AI systems and enable effective search, classification, and analysis across Govini's Ark platform.
This role requires systematic analytical thinking, strong communication skills, and a passion for combining theoretical rigor with practical implementation. The ideal candidate brings hands-on experience in taxonomy and ontology development, along with the ability to guide teams in adopting semantic technologies.This role is a full-time position located out of our office in Pittsburgh, PA.
This role may require up to 10% travel
Scope of Responsibilities
- Build and maintain ontologies, taxonomies, and controlled vocabularies for defense acquisition domains
- Map unstructured data to structured semantic models that integrate with Ark's data infrastructure
- Establish metadata standards and modeling guidelines in collaboration with data engineering and data science teams
- Partner with product and domain experts to translate business requirements into semantic solutions
- Document semantic models and provide guidance to support team adoption and effective use
- Help drive organization-wide understanding and adoption of semantic technologies and best practices.
- Track adoption and measure impact, continuously refining models, tools, and practices
Qualifications
- U.S. Citizenship is required
- Bachelor’s degree in Data Science, Computer Science, Information Systems, or a related field
- 3+ years of experience developing ontologies, taxonomies, or knowledge graphs
- Hands-on experience with ontology editors (e.g., Protégé, TopBraid) and graph databases (e.g., Neo4j, RDF stores)
- Working knowledge of semantic web standards (OWL, RDF, SKOS, SPARQL)
- Proven ability to collaborate with technical and non-technical stakeholders to translate requirements into semantic models
- Understanding of how AI/ML and generative AI systems leverage structured knowledge and ontologies
- Active U.S. security clearance or ability to obtain one
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Master’s degree in Data Science, Computer Science, Information Systems, or a related field
- Familiarity with defense acquisition data and processes
- Experience with data modeling, schema design, or metadata management
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Company Description
Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science and Technology, Production, Sustainment, Logistics, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions.
Job Description
We are seeking an experienced Lead AI Engineer to lead our Agentic AI team as we scale our agentic offerings across all levels of the US government. Over the past year, we have seen the rapid adoption of our agent, Ace. We expect Ace to be handling much more complex tasks and workflows end-to-end and/or in cooperation with a human user as time goes on. The team is striving to make Ace an even more effective agent, focusing on planning, reliable execution over longer time horizon tasks, scaled tool use, Ace Skills, memory, and inter-agent coordination.
In order to do this job well, we are looking for someone who can demonstrate a project built on LLMs that showcases your skill at getting them to do complex tasks.
- Experience leading agentic system development from ideation through production, including technical design, architecture decisions, and day-to-day leadership of Data Scientists and Machine Learning Engineers
- Experience integrating and working with LLMs, with a strong understanding of their capabilities and limitations
- Experience integrating and working with agent frameworks like Claude Agent SDK or OpenAI Agent SDK
- Experience building observability, evaluation, and feedback loops for agent behavior (telemetry, prompt evaluation, regression testing, and reliability metrics).
- Experience working in highly ambiguous environments, and operating with urgency
- Lead Agile ceremonies and technical planning for the Agentic AI team
Strong Candidates have:
- Experience designing and deploying complex agentic systems using LLMs
- Hands-on work with multi-agent coordination, routing, and tool orchestration
- Passion for building autonomous and semi-autonomous systems that solve real customer problems
This role is a full-time position located out of our office in Pittsburgh, PA.
This role may require up to 10% travel
Scope of Responsibilities
- Designs and builds multi-agent systems with tool use, memory, routing, and planning
- Develops Agent Skills and tools as modular, composable services that interact with backend systems, models, and data processing
- Assist with automated evaluation of agents, skills, and prompts across the entire product lifecycle
- Work with our Product and Implementation organizations to find solutions to our most vexing challenges applying agents to our customer problems
Qualifications
- U.S. Citizenship is required
Required Skills:
- Bachelor's, Master’s, or Doctorate in Computer Science, Computer Engineering, Data Science, or a related field
- Minimum 3 years of experience building and deploying ML or LLM-powered systems in production environments
- Minimum 2 years of experience leading or mentoring engineering teams in production environments
- Practical experience in building, developing, and productionizing machine learning systems
- Advanced software skills in Python
- Experience with common LLM algorithms and implementations
- Hands-on experience with AWS and cloud infrastructure
- A strong desire to learn and investigate new technologies
- Familiarity with Git source control management
- Ability to work collaboratively with little supervision
- A burning desire to work in a challenging fast-paced tech environment
Desired Skills:
- Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Experience with Claude Code and GenAI coding best practices.
We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we’re eager to hear from you.
Govini is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.
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Senior AI Engineer, Agentic Interactions
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Company Description
Job Description
We are seeking an experienced AI Engineer to join our Agentic AI team as we scale our agentic offerings across all levels of the US government. Over the past year, we have seen the rapid adoption of our agent, Ace. We expect Ace to interact with all Ark interfaces in an agentic manner as time goes on. The team is striving to make Ace an even more effective agent, focusing on planning, reliable execution over longer time horizon tasks, scaled tool use, Ace Skills, memory, and inter-agent coordination.
In order to do this job well, we are looking for someone who can demonstrate a project built on LLMs that showcases your skill at getting them to interact with frontend interfaces agentically.
Experience designing front-end architectures with explicit state and action models suitable for AI-driven interaction (agent-controlled UI, tool invocation, and deterministic workflows).
- Experience integrating and working with LLMs, with a strong understanding of their capabilities and limitations
- Experience integrating and working with agent frameworks like Claude Agent SDK or OpenAI Agent SDK
- Experience building observability, evaluation, and feedback loops for agent behavior (telemetry, prompt evaluation, regression testing, and reliability metrics).
- Experience working in highly ambiguous environments, and operate with urgency
- Startup experience, particularly in scaling products from zero to one
Strong Candidates have:
- Experience designing and deploying complex agentic systems using LLMs
- Hands-on work with multi-agent coordination, routing, and tool orchestration
- Love coding agents
This role is a full-time position located out of our office in Pittsburgh, PA.
This role may require up to 10% travel
Scope of Responsibilities
- Designs and builds multi-agent systems with tool use, memory, routing, and planning
- Develops Agent Skills and tools as modular, composable services that interact with backend systems, models, and data processing
- Assist with automated evaluation of agents, skills, and prompts across the entire product lifecycle
- Work with our Product and Implementation organizations to find solutions to our most vexing challenges applying agents to our customer problems
Qualifications
- U.S. Citizenship is required
- Bachelor's, Master’s, or Doctorate in Computer Science, Computer Engineering, Data Science, or a related field
- 5+ years of progressive experience designing, building, and deploying production-grade machine learning or LLM-powered systems, with demonstrated ownership of end-to-end delivery
- Practical experience in building, developing, and productionizing machine learning systems
- Advanced software skills in Python
- Experience with common LLM algorithms and implementations
- Hands-on experience with AWS and cloud infrastructure
- A strong desire to learn and investigate new technologies
- Familiarity with Git source control management
- Ability to work collaboratively with little supervision
- A burning desire to work in a challenging fast-paced tech environment
Desired Skills:
- Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Comfortable with Claude Code and GenAI coding best practices.
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Senior AI Engineer, Agent Workflows
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Company Description
Job Description
We are seeking an experienced AI Engineer to join our Agentic AI team as we scale our agentic offerings across all levels of the US government. Over the past year, we have seen the rapid adoption of our agent, Ace. We expect Ace to be handling much more complex tasks and workflows end-to-end or in cooperation with a human user as time goes on. The team is striving to make Ace an even more effective agent, focusing on planning, reliable execution over longer time horizon tasks, scaled tool use, Ace Skills, memory, and inter-agent coordination.
In order to do this job well, we are looking for someone who can demonstrate a project built on LLMs that showcases your skill at getting them to do complex tasks.
- Experience integrating and working with LLMs, with a strong understanding of their capabilities and limitations
- Experience integrating and working with agent frameworks like Claude Agent SDK or OpenAI Agent SDK
- Experience building observability, evaluation, and feedback loops for agent behavior (telemetry, prompt evaluation, regression testing, and reliability metrics).
- Experience working in highly ambiguous environments, and operate with urgency
- Startup experience, particularly in scaling products from zero to one
Strong Candidates have:
- Experience designing and deploying complex agentic systems using LLMs
- Hands-on work with multi-agent coordination, routing, and tool orchestration
- Love coding agents
This role is a full-time position located out of our office in Pittsburgh, PA.
This role may require up to 10% travel
Scope of Responsibilities
- Designs and builds multi-agent systems with tool use, memory, routing, and planning
- Develops Agent Skills and tools as modular, composable services that interact with backend systems, models, and data processing
- Own the technical architecture and engineering standards for agentic systems, ensuring scalability, reliability, and maintainability
- Assist with automated evaluation of agents, skills, and prompts across the entire product lifecycle
- Work with our Product and Implementation organizations to find solutions to our most vexing challenges applying agents to our customer problems
Qualifications
- U.S. Citizenship is required
- Bachelor's, Master’s, or Doctorate in Computer Science, Computer Engineering, Data Science, or a related field
- 5+ years of progressive experience designing, building, and deploying production-grade machine learning or LLM-powered systems, with demonstrated ownership of end-to-end delivery
- Practical experience in building, developing, and productionizing machine learning systems
- Advanced software skills in Python
- Experience with common LLM algorithms and implementations
- Hands-on experience with AWS and cloud infrastructure
- A strong desire to learn and investigate new technologies
- Familiarity with Git source control management
- Ability to work collaboratively with little supervision
- A burning desire to work in a challenging fast-paced tech environment
Desired Skills:
- Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Experience with modern front-end frameworks (e.g., React, Next.js, or similar) and API-driven UI architectures
- Comfortable with Claude Code and GenAI coding best practices.
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Software Development Engineer in Test (SDET)
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Company Description
Job Description
Scope of Responsibilities
- Create, design, and develop all aspects of our automated testing, including creating and running automated regression test scripts.
- Formulate detailed test plans; create test cases, test scripts, test data and expected results for both manual and automated testing.
- Assist in managing development/DevOps processes towards a CI/CD workflow, aligning to a continuous release-based focus.
- Work directly with development team to iteratively plan, test, and release high-quality feature development
- Effectively understand requirements from customers and work with the internal team to design solutions to meet their requirements
- Generate team metrics and information that improve development practices
- Proactively identify opportunities to reduce risk and improve performance
- Manage and Track the defects/bugs using JIRA and coordinate defect review meetings to prioritize defects
- Coordinate with development team for feature release and defect management
Qualifications
- U.S. Citizenship is required
- Bachelor’s degree or equivalent work experience
- Must have prior experience working in a product organization
- 3+ years of software development in test experience, including expertise in testing methodologies, experience with standard QA and development tools, and the ability to operate within short-release cycles
- 3+ years of Software test automation experience working with the following technologies: Selenium, JavaScript, Python, PostgreSQL
- Minimum of 3 years hands-on experience in developing regression and functional test plans, managing defects, and implementing automated testing
- Excellent troubleshooting, analytical, and problem-solving skills
- Demonstrated ability to balance long-term roadmap vision with the unavoidable shifting of short-term priorities in an agile, startup environment
- Exceptional written and verbal communication with both client-facing and technical team members
- High degree of ability to work autonomously with little supervision in a fast-paced environment
- Self-motivated and organized
- Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Experience and interest in National Security
- Proficiency in working with Java applications
- Experience with performance/stress/load/volume testing
- Understanding of technological infrastructure involved in building data products
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Company Description
Job Description
Scope of Responsibilities
- Collaborate with other software engineers, product managers, and client-facing teams to understand client requirements and translate them into technical solutions
- Lead the deployment and integration of our software and data solutions in client environments, ensuring smooth implementation and adherence to project timelines
- Actively participate in designing, building and testing scalable data architecture
- Craft clean, testable, and maintainable code
- Participate in the end-to-end software development of new feature functionality and design capabilities
- Optimize processes for maximum speed and accuracy
- Regularly seek out innovation and continuous improvement, finding efficiency in all assigned tasks
Qualifications
- U.S. Citizenship is required
- Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent work experience
- 1+ years of software development experience with a high-level software stack
- Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
- Ability to communicate technical information to non-technical
- Intermediate SQL development
- Strong proficiency with backend API languages such as Java/Spring Boot (preferred) or equivalent
- Experience performing meaningful tasks in Linux
- Prior hands-on experience working with data-driven analytics
- Experience working in agile/scrum teams
- Ability to work independently with little supervision
- A burning desire to work in a challenging fast-paced tech environment
- Experience working within the boundaries of a Federal government accredited software environment
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Experience working in a client-facing or consulting role Familiarity with Javascript/ReactJS
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Company Description
Job Description
Scope of Responsibilities
- Define and lead Govini's data lifecycle strategy across data acquisition, data ingestion, data cleansing, normalization and linkage.
- Ensure key entities within datasets are identified, resolved and linked to existing entities within the current master data repository.
- Apply various techniques to produce solutions to large-scale optimization problems, including data pre-processing, indexing, blocking, field and record comparison and classification.
- Improve data sharing, increase data repurposing and improve cost efficiency associated with data management efforts.
- Build best practices that help with chain of custody of data so it can be easily traced back to the source for accuracy and consistency.
- Work across functional teams to understand advanced statistical, machine learning, and text processing models and incorporate them into Govini’s existing data engineering infrastructure.
- Perform exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns.
- Work directly with users as well as SMEs to establish, create and populate optimal data architectures and structures, as well as articulate techniques and results using non-technical language.
Qualifications
- U.S. Citizenship is required
- Bachelor's degree in Computer Science, Mathematics or a related technical field
- 3-5 years experience with programmatically transforming data
- Experience with RDBMS
- Advanced SQL programming skills
- Proficient usage of common data formats such as CSV, XML, and JSON
- Requires strong analytical ability and attention to detail
- Ability to work independently with little supervision
- A burning desire to tackle hard problems and create sustainable solutions
- Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Experience using Amazon Web Services
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Working knowledge with large (multiple terabytes) amounts of data
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Company Description
Job Description
Scope of Responsibilities
- Secure, operate, and continuously deploy to FedRAMP and IL5 environments.
- Document security processes, vulnerabilities, remediation actions, and compliance measures.
- Partner with engineers to interpret security requirements and plan effective control implementations.
- Integrate security tools into the CI/CD pipeline, run security scans, and remediate vulnerabilities.
- Translate and synthesize complex concepts and architectures into a clear body of evidence artifacts, including System Security Plans (SSP) and architecture diagrams.
- Build and support a CI/CD infrastructure utilizing GitLab, Jenkins, Helm, and Kubernetes.
- Serve as a security Subject Matter Expert (SME) and govern architectures to ensure they remain within the scope of an ATO.
Qualifications
- U.S. Citizenship is required
- Bachelor's degree in Computer Science, Mathematics or a related technical field
- Linux/Unix experience, including command line and shell scripting
- Hands-on operational AWS/GCP/Azure experience
- Experience with cybersecurity frameworks (FedRAMP, FISMA, DoD SRG, NIST 800-171)
- Experience building and maintaining CI/CD pipelines with Jenkins, Gitlab CI, or related technologies
- Experience with Systems Monitoring/Alerting (Splunk, PagerDuty, Prometheus, Alertmanager, Grafana)
- Experience with infrastructure as code
- Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
- Experience maintaining compliance within an accredited environment, ensuring all systems and processes operate according to the parameters of the granted ATO.
- Programming experience with any of the following languages: Golang, Java, Python, Groovy, Bash, or Ruby
- Experience with container-based architectures (Docker, Kubernetes, Helm)Experience deploying and supporting a microservices architecture
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Familiarity with test automation, including security testing and performance testing
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Lead Data Platform Engineer
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Company Description
Job Description
Scope of Responsibilities
- Design and implement platform architecture enhancements to support scalability and reliability
- Design, build, maintain, and support data platform solutions to enable efficient data consumption across functional teams, including AI/ML, Data Science, and Software
- Evaluate and integrate emerging technologies to improve the data platform
- Collaborate with teams across the organization to understand business needs and translate them into data solutions
- Mentor junior engineers by providing code reviews, guidance, and technical leadership through promotion of engineering best practices
Qualifications
- U.S. Citizenship is required
- Bachelor's degree in Computer Science, Mathematics or a related technical field
- 5+ years of experience in building and maintaining scalable data platforms or services
- Strong proficiency in Python and SQL
- Proven experience in architecting and implementing data pipeline frameworks, including orchestration
- Solid understanding of data security and governance best practices
- Hands-on with big data frameworks, such as Apache Spark
- Knowledge of cloud-native data lake/lakehouse architectures
- Demonstrated ability to collaborate with stakeholders to deliver data platform solutions that support AI, machine learning, data science, and web applications
- Strong analytical skills and attention to detail
- Ability to work independently in a fast-paced environment
- A passion for solving complex problems and building sustainable, scalable systems
- Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
- Experience using Amazon Web Services
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Working knowledge of large (multiple terabytes) amounts of data
- We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we’re eager to hear from you.
We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we’re eager to hear from you.
Ready to apply?
Apply to Govini
Company Description
Job Description
Scope of Responsibilities
- Lead software engineering efforts from ideation through implementation as well as the day-to-day of a small team containing both front-end and back-end software engineers
- Lead Agile ceremonies for the software engineering team
- Establish coding and testing best practices and standards for Engineers
- Develop, test, and deploy modern software applications and new features
- Oversee the quality of Engineers’ deliverables, such as coding, testing, debugging
- Collaborate with Govini’s product team to turn business requirements into technical specifications
- Regularly seek out innovation and continuous improvement, finding efficiency in all assigned tasks
- Collaborate with data engineers, data scientists, QA engineers, and DevOps engineers to improve the overall quality and performance of the platform
Qualifications
- U.S. Citizenship is required
- Bachelor's degree in Computer Science, Mathematics or a related technical field
- 5 years of software development experience with an object-oriented programming language comparable to Java, C++, Python, C#, or Ruby
- Hands-on experience with Spring Boot, Quarkus, or similar technologies
- Knowledge of data structures, object-oriented design, algorithms, exception handling, and troubleshooting
- Experience writing SQL and implementing database design
- Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Previously experienced working in a product organization
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Senior Machine Learning Engineer
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Company Description
Job Description
Scope of Responsibilities
- Inform and implement the design and development of NLP applications to enhance the intelligence and efficiency of our data analytics software-as-a-service platform
- Review, verify, and aggregate the most appropriate annotated datasets for the best-supervised learning methods
- Ability to work with taxonomy experts to create and validate dataset annotation
- Use well-formed and effective text representation to change and adapt natural language documents into user-friendly features
- implement the latest technology to improve user search functionality as well as integrate state of the art LLM models into our Ark.ai platform to enhance user experience.
- Develop new algorithms and modeling techniques and conduct sound experiments to verify model results and integrate models into the live production system
- Establish meaningful criteria for evaluating algorithm performance and suitabilityImplement working, scalable, production-ready models and code
- Keep up to date with Machine Learning best practices and evolving open-source frameworks
- Regularly seek out innovation and continuous improvement, finding efficiency in all assigned tasks
- Collaborate closely with fellow taxonomists, software engineers, data scientists, data engineers, and QA engineers
Qualifications
- U.S. Citizenship is required
- Advanced degree, or bachelor’s with at least 3 years of experience, in Data Science, Machine Learning or a related field
- Minimum 3 years experience with hands-on development of NLP models
- In-depth understanding of NLP methods for text representation, semantic extraction techniques, data structures, and modeling
- Practical experience in building, developing, and productionizing both supervised and unsupervised machine learning models
- Advanced software skills in Python
- Advanced ability in forming SQL queries
- A strong desire to learn, investigate, and implement cutting-edge technologies
- Ability to work collaboratively throughout the design process.
Desired Skills:
- Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Experience in deploying ML models in Kubernetes environments
- Experience developing custom training sets for large language models
- Experience productionizing transformer-based models
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Company Description
Job Description
Scope of Responsibilities
- Actively participate in designing, building and testing scalable data architecture
- Craft clean, testable, and maintainable code
- Participate in the end to end software development of new feature functionality and design capabilities
- Optimize processes for maximum speed and accuracy
- Regularly seek out innovation and continuous improvement, finding efficiency in all assigned tasks
- Work in an agile team in a scrum process, collaborating closely with fellow software engineers, DBEs, and QA engineers
Qualifications
- U.S. Citizenship is required
- Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent work experience
- 6+ years of software development experience with a high-level software stack
- Advanced SQL development
- Familiarity with PostgreSQL administration
- Strong proficiency with backend API languages such as Java/Spring Boot (preferred) or equivalent
- Experience performing meaningful tasks in Linux
- Prior hands-on experience working with data-driven analytics
- Experience working in agile/scrum teams
- Ability to work independently with little supervision
- A burning desire to work in a challenging fast-paced tech environment
- Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Familiarity with Git source control management
- Familiarity with Javascript/ReactJS
- Familiarity with CSS
- Previously experience working in a product organization
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Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!
At Duolingo, you’ll join a team that cares about finding innovative solutions to complex technical problems, running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful.
Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world.
About the role...
As a Platform Engineer on the Compute team, you’ll improve how engineers build and run services, helping ensure our compute platform is reliable at scale for our learners and fellow Duo engineers.
The Compute team builds and operates the core compute platform that powers our applications. We build paved roads (self-service platform primitives, templates, and tooling) and we operate them so product engineers can focus on shipping features with confidence.
This role is based in our Pittsburgh office and requires in-office presence Monday through Thursday.
🧠 You will...
- Build and operate core compute primitives that power production workloads based on Kubernetes, across different regions and cloud providers.
- Improve the delivery pipeline from commit to production by evolving our GitOps and deployment patterns, making rollouts safer and faster.
- Raise the operational bar: define SLOs, build dashboards/alerts, write runbooks, and participate in on-call/incident response to keep the platform dependable.
- Enable effective self-service by turning platform capabilities into reusable abstractions.
✅ You have...
- Strong problem-solving skills and experience delivering and shipping pragmatic solutions in production environments.
- Experience with distributed systems fundamentals (networking, service-to-service communication, failure modes, caching/storage concepts).
- Experience working on production systems (through industry roles, internships, or substantial open-source work).
- Experience with one or more CI/CD tools (Jenkins, Argo CD, GitHub Actions) and infrastructure management tools (Terraform, CloudFormation)
- Clear written and verbal communication skills—comfortable writing docs/runbooks and collaborating across teams.
- Functional knowledge of Linux system administration and automation
⭐ Exceptional candidates will have...
- A Bachelor’s degree in Computer Science, related technical field, or equivalent practical experience
- Experience managing a production infrastructure on AWS, Google Cloud, Alibaba Cloud, or Azure.
- Exposure to multi-cluster or multi-region architectures and the operational patterns that make them reliable.
- Experience with service mesh / zero-trust networking patterns (e.g., Istio mTLS, traffic management, authorization policies).
We post a multi-level salary range for all of our roles.
This is not inclusive of the rest of our awesome portfolio that includes equity compensation and world-class benefits. Our salary ranges are the same for all US locations. Your recruiter can share more details about the range for a specific level during the hiring process. The actual salary within the range is determined by many factors including but not limited to, skills, experience, education, and internal equity.
Take a peek at how we care for our employees' holistic well-being with our benefits here.
We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com.
Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice.
Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information.
Sign up for job alerts here.
Ready to apply?
Apply to Duolingo
Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!
At Duolingo, you’ll join a team that cares about finding innovative solutions to complex technical problems, running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful.
Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world.
About the role...
As a Platform Engineer on the Compute team, you’ll improve how engineers build and run services, helping ensure our compute platform is reliable at scale for our learners and fellow Duo engineers.
The Compute team builds and operates the core compute platform that powers our applications. We build paved roads (self-service platform primitives, templates, and tooling) and we operate them so product engineers can focus on shipping features with confidence.
This role is based in our Pittsburgh office and requires in-office presence Monday through Thursday.
🧠 You will...
- Build and operate core compute primitives that power production workloads based on Kubernetes, across different regions and cloud providers.
- Improve the delivery pipeline from commit to production by evolving our GitOps and deployment patterns, making rollouts safer and faster.
- Raise the operational bar: define SLOs, build dashboards/alerts, write runbooks, and participate in on-call/incident response to keep the platform dependable.
- Enable effective self-service by turning platform capabilities into reusable abstractions.
✅ You have...
- Strong problem-solving skills and experience delivering and shipping pragmatic solutions in production environments.
- Experience with distributed systems fundamentals (networking, service-to-service communication, failure modes, caching/storage concepts).
- Experience working on production systems (through industry roles, internships, or substantial open-source work).
- Experience with one or more CI/CD tools (Jenkins, Argo CD, GitHub Actions) and infrastructure management tools (Terraform, CloudFormation)
- Clear written and verbal communication skills—comfortable writing docs/runbooks and collaborating across teams.
- Functional knowledge of Linux system administration and automation
⭐ Exceptional candidates will have...
- A Bachelor’s degree in Computer Science, related technical field, or equivalent practical experience
- Experience managing a production infrastructure on AWS, Google Cloud, Alibaba Cloud, or Azure.
- Exposure to multi-cluster or multi-region architectures and the operational patterns that make them reliable.
- Experience with service mesh / zero-trust networking patterns (e.g., Istio mTLS, traffic management, authorization policies).
We post a multi-level salary range for all of our roles.
This is not inclusive of the rest of our awesome portfolio that includes equity compensation and world-class benefits. Our salary ranges are the same for all US locations. Your recruiter can share more details about the range for a specific level during the hiring process. The actual salary within the range is determined by many factors including but not limited to, skills, experience, education, and internal equity.
Take a peek at how we care for our employees' holistic well-being with our benefits here.
We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com.
Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice.
Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information.
Sign up for job alerts here.
Ready to apply?
Apply to Duolingo
Machine Learning Engineer III
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About us
TeleTracking began with a simple but powerful belief that no one should wait for the care they need. More than a slogan, it’s a promise to continually improve healthcare.
TeleTracking builds groundbreaking technology incorporating deep clinical expertise. Our solutions are used in the nation’s largest healthcare systems and around the world to positively impact patients, families and communities.
What’s your contribution to the TeleTracking story?
When you chose to bring your passion and skills to helping achieve our purpose, you’ll be part of a team that understands that there’s a human life behind every data point. Your skills, curiosity, and compassion—will help fuel our innovation and achieve the TeleTracking promise of revolutionizing modern healthcare.
About the role
We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our innovative team at TeleTracking Technologies, focusing on improving patient care. The ideal candidate will have a strong background in developing, deploying, and optimizing machine learning models, as well as expertise in data ingestion and modeling techniques. This role requires a deep understanding of hospital operations, healthcare data, clinical workflows, and regulatory requirements (such as HIPAA or GDPR). The successful candidate will be passionate about leveraging advanced technologies to enhance patient care and operational efficiency.
What you will do
- Design, develop, and implement machine learning and deep learning models to address hospital-specific challenges such as patient flow optimization, resource allocation, bed management, and predictive analytics for patient outcomes.
- Build and optimize data ingestion and modeling pipelines as needed
- Utilize domain driven techniques and design patterns to build and contribute to technical
- design.
- Collaborate with cross-functional teams including data scientists, software engineers, clinicians, hospital administrators, and experts in TeleTracking Technologies to identify and develop high-impact machine learning solutions.
- Work with large-scale healthcare and hospital datasets including structured data (EHRs, hospital operational data), unstructured data (clinical notes, imaging).
- Ensure data privacy and security, adhering to healthcare regulations such as HIPAA and GDPR, especially when working with sensitive hospital data.
- Mentor junior engineers and data scientists, providing guidance on machine learning techniques, particularly those relevant to hospitals and healthcare systems.
- Monitor, troubleshoot, and enhance the performance of deployed models using MLOps best practices, ensuring they operate effectively in hospital environments.
- Write technical architectural and design documents.
What we look for
- Proven experience in end-to-end design and deployment of machine learning models from ideation to production in healthcare or similar settings.
- Strong programming skills and experience with object or component-oriented development software, one or more of: Python or R, with proficiency in ML frameworks, one or more of: TensorFlow, PyTorch, or Scikit-learn.
- Expertise in NLP, computer vision, or other specialized machine learning techniques applicable to healthcare and hospital environments.
- Deep knowledge of a scripting or statistical programming language (Python preferred). Ability to efficiently work with very large datasets and deal with non-standard machine learning datasets (class-imbalances, sparse matrices, etc.)
- Assess model performance; train multiple models; carry out tuning. Run A/B tests on models.
- Comfortable writing complex SQL queries and developing python packages.
- Experience with cloud-based management and hosting, one or more of: AWS, Azure, GCS, CloudFormation, Terraform, or Ansible. Interest in developing services as well as the underlying infrastructure
- Experience with database management system software, one or more of: Oracle, MSSQL, MongoDB, MySQL, DynamoDB, or PostgreSQL.
- Experience with Version Control Software, one or more of: git, Mercurial, CVS, TFS, or Subversion.
- Strong understanding and experience executing several software development methodologies and life cycles. Ability to understand and translate business requirements into technical specifications.
- Experience with agile development practices.
- Excellent written and oral communication skills. Adept and presenting complex topics, influencing, and executing with timely / actionable follow-through.
- Strong analytical and problem-solving skills with the ability to convert information into practical training deliverables. Uses rigorous logic and methods to solve difficult problems.
- Knowledge of clinical workflows and hospital operations, and how technology can enhance efficiency and patient care.
- Familiarity with healthcare-specific machine learning challenges, such as data imbalance, longitudinal data, and real-time processing in hospital environments.
- Be an active listener, probe requirements for all projects from relevant stakeholders, stay nimble and willing to produce rapid iterations.
Education
- Bachelor's degree in computer science, Data Science, Machine Learning, Artificial Intelligence, or a related field; 7 or more years of experience.
- Master's or PhD in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or a related field; 5 or more years of experience. (preferred)
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future.
Benefits
- Medical/dental/vision plans 100% paid for employees and family members without coverage, which start from day one!
- Life and AD&D
- Flexible Spending Accounts: Medical, Dependent Care, and Transportation
- 401 (k) Retirement Savings
- Tuition Reimbursement
- Military Paid Leave (up to 6 months of base salary while on military leave)
- Paid Time Off
- Paid parental leave
Disclaimer:
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable qualified individuals with disabilities to perform the essential functions. The term "qualified individual with a disability" means an individual with a disability who, with or without reasonable accommodation, can perform the essential functions of the position.
TeleTracking is an Equal Opportunity/Affirmative Action employer. TeleTracking recruits qualified applicants without regard to race, color, religion, gender, age, ethnic or national origin, veteran status, physical or mental disability, genetic information, sexual orientation or preference, gender identity, marital status, or citizenship status.
Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals.
Ready to apply?
Apply to TeleTracking Technologies, Inc.
Senior Software Engineer, Core Experiences - Pittsburgh, PA, USA
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Mission
Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster.
What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth.
Overview
We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify’s product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience.
What You’ll Do
- Collaborate with Speechify’s Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK
- Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms
- Ship cloud functions, lightweight backend services, and jobs using Kotlin
An Ideal Candidate Should Have
- Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable.
- Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time
- Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
- Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
- Preferred Tech Stack:
- Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform)
- Prior experience with GCP is a plus
What We Offer
- A fast-growing environment where you can help shape the company and product.
- An entrepreneurial-minded team that supports risk, intuition, and hustle.
- A hands-off management approach so you can focus and do your best work.
- An opportunity to make a big impact in a transformative industry.
- Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
- Opportunity to work on a life-changing product that millions of people use.
- Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
- Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio.
The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience
Think you’re a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Ready to apply?
Apply to Speechify
Software Engineer, Platform - Pittsburgh, PA, USA
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The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.
This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.
We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.
Our interview process involves several technical interviews and we aim to complete them within 1 week.
What You’ll Do
- Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
- Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
- Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
- Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience
An Ideal Candidate Should Have
- Proven experience in backend development: TS/Node (required)
- Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
- Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
- Preferred: Experience with Docker and containerized deployments
- Preferred: Proficiency in deploying high availability applications on Kubernetes
What We Offer
- A dynamic environment where your contributions shape the company and its products
- A team that values innovation, intuition, and drive
- Autonomy, fostering focus and creativity
- The opportunity to have a significant impact in a revolutionary industry
- Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
- The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
- An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain
The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience
Think you’re a good fit for this job?
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Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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Senior Motion Planning Engineer
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Senior Motion Planning Engineer (Evergreen)
On our Motion Planning team, you'll apply your passion in robotics and software development for production-ready autonomous vehicles. In this role you'll perform cutting-edge research, develop advanced algorithms, and build robust software to generate safe, comfortable, and intuitive routes and motions.
Role responsibilities:
- Lead the research and development of novel algorithms for motion planning in autonomous driving, including but not limited to advanced search-based methods, sophisticated geometry-based methods, and decision making under uncertainty with a strong emphasis on probabilistic approaches.
- Architect and integrate complex combinations of motion planning and prediction algorithms, driving their evaluation and refinement for real-world deployment.
- Design and build a robust, scalable, and high-performance codebase that facilitates rapid exploration, prototyping, and rigorous evaluation of innovative motion planning approaches and algorithms.
- Drive technical collaboration and interface seamlessly with perception and prediction components upstream and trajectory optimization, tracking and control components downstream, ensuring end-to-end system performance.
- Leverage your deep software development and research expertise to teach others better software practices and principles, fostering a culture of technical excellence.
- Guide and mentor junior team members, cultivating a culture of product-focused engineering, rigorous research, and advanced development.
What we're looking for:
- PhD preferred in Robotics, Computer Science, Computer Engineering, Mechanical Engineering, or a related field; or a Master's degree with 2+ years of experience in the robotics (preferably AV industry)
- 2+ years of research experience in robotics / motion planning, with a proven track record of contributing to state-of-the-art solutions
- 2+ years of C++ software development, with an emphasis on developing high-performance and reliable systems
- Past experience owning and leading technical development on complex features from problem formulation through research, implementation, and deployment in a production environment.
- Thirst for knowledge, continuous innovation, and a drive to push the boundaries of autonomous driving technology.
Skills appreciated
- Experience with probabilistic models, including but not limited to Gaussian mixture models, Hidden Markov Models, and Particle Filters.
- Experience with Bayesian modeling and inference techniques for decision making under uncertainty.
- Experience with the Bazel build framework
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!
At Duolingo, you’ll join a team that cares about finding innovative solutions to complex technical problems, running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful.
Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world.
Below you can find more information about the teams we're hiring for:
Subscription Crossgrades Team:
As an Android engineer on the Subscription Crossgrades Team, you’ll build features that help learners discover and subscribe to the Duolingo plan that best fits their goals. Our team’s mission is to make subscription purchases convenient, compelling, and clear, so that learners can unlock Duolingo’s most powerful tools for long-term success. You’ll work on improving how we present subscription options across the app, highlight the value of our offerings, and craft delightful, high-impact conversion moments. We’re looking for engineers who are passionate about creating seamless, user-centered purchase flows and subscription experiences.
Current User Retention Team:
As an Android engineer on the Current User Retention team, you will build and optimize features that help learners stick with their language goals day after day. You will work on several high-profile features, including Streaks and Quests, that make it motivating and rewarding for learners to keep coming back to learn on Duolingo. You’ll collaborate with product and design partners to ship experiment-driven features end-to-end. You’ll craft polished in-app experiences and use data to understand how your work shapes learner behavior at scale. We’re looking for engineers who are excited about rapid experimentation and building delightful experiences that keep learners engaged.
🧠 You will...
- Collaborate on software projects with product design and backend aspects
- Develop, release, and maintain native Android application features in Kotlin
- Mentor and set technical direction for junior engineers on the team
✅ You have...
- A Bachelor’s degree in Computer Science or a related technical field
- Programming experience in Kotlin on Android
- The ability to communicate technical issues effectively to technical and non-technical stakeholders
⭐ Exceptional candidates will have...
- Strong programming experience building reactive Android apps
- Demonstrated self-direction, with a desire both to learn new techniques and mentor others
- Experience designing clean and maintainable APIs
- Experience writing unit tests and testable code
We post a multi-level salary range for all of our roles.
This is not inclusive of the rest of our awesome portfolio that includes equity compensation and world-class benefits. Our salary ranges are the same for all US locations. Your recruiter can share more details about the range for a specific level during the hiring process. The actual salary within the range is determined by many factors including but not limited to, skills, experience, education, and internal equity.
Take a peek at how we care for our employees' holistic well-being with our benefits here.
We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com.
Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice.
Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information.
Sign up for job alerts here.
Ready to apply?
Apply to Duolingo
Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!
At Duolingo, you’ll join a team that cares about finding innovative solutions to complex technical problems, running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful.
Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world.
About the role...
We’re hiring an Engineering Manager to lead a high-impact product engineering team working on Notifications. You will co-lead a cross-functional team to improve learner habit formation and long-term engagement through our notifications pipeline, while owning the team's roadmap, execution, and outcomes. This role blends technical leadership, people management, and product strategy as you’ll set direction for complex systems, foster an inclusive, high-performance culture, and create an environment for engineers to do impactful things. The role is based in Pittsburgh or New York.
🧠 You will...
- Co-lead a cross-functional team with partners in product management, aligning on strategy, priorities, and success metrics for notifications and other out-of-app messaging.
- Drive execution of projects from spec to implementation, experimentation/analysis, and ongoing ownership, while ensuring system reliability, scalability, and observability.
- Use data and rapid experimentation to inform decisions; partner with internal stakeholders to design A/B tests and translate insights into product improvements that measurably impact retention KPIs.
- Attract, grow, and retain diverse engineering talent; provide clear expectations, coaching, and career development, and build a healthy, inclusive team culture.
- Set engineering quality standards and processes that balance speed and long-term maintainability; proactively manage tech debt, product quality, and and operational excellence.
- Collaborate closely with product, design, research, and other engineering teams to deliver notification experiences that are cohesive across in‑app and other out‑of‑app surfaces (e.g., widgets).
- Define team OKRs, ruthlessly prioritize, and remove roadblocks so the team ships impactful work that moves company metrics.
✅ You have...
- Experience leading, managing, and building a team of software engineers, with demonstrated ability to hire, develop, and retain talent.
- A track record of shipping multi-engineer, multi-week+ projects with measurable business impact, balancing speed and quality.
- Strong product instincts and comfort in highly experimental, data‑driven environments; experience defining metrics and running A/B tests with analytics or data science partners.
- Excellent communication and stakeholder management skills across engineering, product, design, and data; clear written specs and status updates.
- Technical depth sufficient to guide architecture and implementation trade‑offs, evolve quality standards, and mentor engineers on best practices.
- The ability to work from or relocate to Pittsburgh, PA or New York, NY.
⭐ Exceptional candidates will have...
- Experience leading teams focused on retention, engagement, growth, or habit‑formation features in consumer products.
- Experience setting team OKRs and operating cadences that consistently deliver outsized impact on company‑level metrics.
- Background managing teams with broad cross‑functional scope.
We post a multi-level salary range for all of our roles.
This is not inclusive of the rest of our awesome portfolio that includes equity compensation and world-class benefits. Our salary ranges are the same for all US locations. Your recruiter can share more details about the range for a specific level during the hiring process. The actual salary within the range is determined by many factors including but not limited to, skills, experience, education, and internal equity.
Take a peek at how we care for our employees' holistic well-being with our benefits here.
We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com.
Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice.
Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information.
Sign up for job alerts here.
Ready to apply?
Apply to Duolingo
Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!
At Duolingo, you’ll join a team that cares about finding innovative solutions to complex technical problems, running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful.
Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world.
About the role...
We’re hiring an Engineering Manager to lead a high-impact product engineering team working on Notifications. You will co-lead a cross-functional team to improve learner habit formation and long-term engagement through our notifications pipeline, while owning the team's roadmap, execution, and outcomes. This role blends technical leadership, people management, and product strategy as you’ll set direction for complex systems, foster an inclusive, high-performance culture, and create an environment for engineers to do impactful things. The role is based in Pittsburgh or New York.
🧠 You will...
- Co-lead a cross-functional team with partners in product management, aligning on strategy, priorities, and success metrics for notifications and other out-of-app messaging.
- Drive execution of projects from spec to implementation, experimentation/analysis, and ongoing ownership, while ensuring system reliability, scalability, and observability.
- Use data and rapid experimentation to inform decisions; partner with internal stakeholders to design A/B tests and translate insights into product improvements that measurably impact retention KPIs.
- Attract, grow, and retain diverse engineering talent; provide clear expectations, coaching, and career development, and build a healthy, inclusive team culture.
- Set engineering quality standards and processes that balance speed and long-term maintainability; proactively manage tech debt, product quality, and and operational excellence.
- Collaborate closely with product, design, research, and other engineering teams to deliver notification experiences that are cohesive across in‑app and other out‑of‑app surfaces (e.g., widgets).
- Define team OKRs, ruthlessly prioritize, and remove roadblocks so the team ships impactful work that moves company metrics.
✅ You have...
- Experience leading, managing, and building a team of software engineers, with demonstrated ability to hire, develop, and retain talent.
- A track record of shipping multi-engineer, multi-week+ projects with measurable business impact, balancing speed and quality.
- Strong product instincts and comfort in highly experimental, data‑driven environments; experience defining metrics and running A/B tests with analytics or data science partners.
- Excellent communication and stakeholder management skills across engineering, product, design, and data; clear written specs and status updates.
- Technical depth sufficient to guide architecture and implementation trade‑offs, evolve quality standards, and mentor engineers on best practices.
- The ability to work from or relocate to Pittsburgh, PA or New York, NY.
⭐ Exceptional candidates will have...
- Experience leading teams focused on retention, engagement, growth, or habit‑formation features in consumer products.
- Experience setting team OKRs and operating cadences that consistently deliver outsized impact on company‑level metrics.
- Background managing teams with broad cross‑functional scope.
We post a multi-level salary range for all of our roles.
This is not inclusive of the rest of our awesome portfolio that includes equity compensation and world-class benefits. Our salary ranges are the same for all US locations. Your recruiter can share more details about the range for a specific level during the hiring process. The actual salary within the range is determined by many factors including but not limited to, skills, experience, education, and internal equity.
Take a peek at how we care for our employees' holistic well-being with our benefits here.
We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com.
Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice.
Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information.
Sign up for job alerts here.
Ready to apply?
Apply to Duolingo
Mission Summary:
At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery.
As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain" of this engine. You will work with state-of-the-art foundation models to extract insights from Motional’s driving data, working at the intersection of large-scale representation learning and data retrieval. By building smarter mining tools and efficient data pipelines, you will accelerate the model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation.
What You'll Do:
- Build and Train ML Pipelines: Develop, train, and fine-tune machine learning models for multimodal sensor data (e.g., vision, LiDAR). Focus on implementing supervised and self-supervised learning approaches to improve data search and retrieval.
- Support Model Deployment: Implement scalable data preprocessing and augmentation pipelines. Assist in applying standard optimization techniques (e.g., batch inference, quantization) to ensure models run efficiently in production environments.
- Data Mining & Analysis: Help develop embedding-based search tools and "active learning" workflows to identify critical driving scenarios.
- Monitor Production Performance: Help build and maintain dashboards to monitor model health, data drift, and system performance. Identify regressions and assist in the operational support of our data mining services.
- Learn and Apply Best Practices: Follow software engineering standards (version control, CI/CD, unit testing) for ML code. Participate in code reviews and contribute to technical documentation.
- Collaborate Across Teams: Work closely with senior engineers and machine learning engineers to translate model prototypes into maintainable, scalable engineering solutions.
What We're Looking For (Must-Haves):
- BS or MS in Computer Science, Machine Learning, or a related field.
- Hands-on experience with PyTorch (preferred) or TensorFlow/JAX. You should be comfortable training models and evaluating them using standard metrics.
- Strong proficiency in Python with the ability to write clean, modular, and well-documented code.
- Working knowledge of version control, unit testing, and basic software design patterns.
- Experience working with large datasets, including proficiency in SQL and data libraries like Pandas and NumPy.
- A solid grasp of the full ML lifecycle, from data cleaning and feature engineering to validation and deployment basics.
- A proactive learner who thrives on constructive feedback and is eager to grow within a high-stakes engineering environment.
Bonus Points (Nice-to-Haves):
- MS/PhD in Computer Science, Machine Learning, or related field.
- Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning.
- Background in autonomous driving, robotics, or real-time decision-making systems.
- Familiarity with multimodal learning, sensor fusion, or embodied AI.
- Experience building active learning loops, using the model to find the data that breaks the model.
- Experience with ML-based data mining, active learning, or contrastive learning.
- Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms.
- Publication in top-tier conferences (e.g., ICCV, CVPR, ECCV)
We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Senior Engineer, Autonomy ML Systems
Share this job
Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn’t just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.
The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.
Mission Summary:
The Autonomy Subsystems team at Motional is focused on designing and evaluating modules of the autonomy software. We are seeking a talented senior engineer to contribute to evaluation of our machine learning subsystems. Our team performs a variety of evaluations of machine learning models, including offline model eval, evaluation of open and closed-loop re-simulations, and assessment of on-road performance. Our goal is to establish metrics that describe autonomy subsystem performance, evaluate against those metrics to validate performance, and provide meaningful insight to ML developers and teams, working closely alongside them to improve the performance of ML models on the car.
We are looking for a highly-technical systems engineer with experience designing and evaluating safety critical systems and machine learning models. Bring your passion for autonomy, robotics, and machine learning to our team to help build a production-ready system and prepare for our scaled robotaxi service deployment.
Responsibilities:
- Define, prototype, and validate advanced metrics that bring new insights to model performance evaluation for autonomy subsystems (mainly focused on perception, prediction, and planning).
- Assess coverage of existing training and testing, then curate test sets that sufficiently capture Motional’s intended deployment operational design domain, across many axes (agent types, interaction types, map/spatial, etc.).
- Evaluate machine learning model performance against these metrics and tests.
- Assess system-level performance and subsystem contribution to system behavior through large-scale data analysis of on-road and simulation events.
- Define performance requirements for autonomy subsystems, and supporting analyses required to establish these targets.
- Coordinate subsystem-level evaluation with other system-level testing efforts across the systems team in support of the safety case and safety claims.
Qualifications:
- An engineer who has demonstrated strong cross-functional collaborative skills and is highly self-starting. This is a highly cooperative role across systems, autonomy, infrastructure, and other parts of the organization.
- Proven engineer with 5+ years of experience working on high-tech safety critical systems or robotics, ideally from a systems, robotics, or similar background.
- Master’s degree in relevant fields (systems, robotics, ML, CS, etc.) or Bachelor’s degree plus significant relevant in-field experience.
- Skilled Python developer, familiarity with analyzing the large scale data required to train and test ML models.
- Experience designing unique metrics that capture key aspects of system behavior and are used to enhance model development.
Bonus Skills:
- Experience training machine learning models, familiarity with state-of-the-art ML model architectures.
- Deep experience with a specific aspect of machine learning for autonomous robotics (perception, prediction, or planning).
- Knowledge of C++, especially applied to safety critical systems.
- Experience with systems verification and validation techniques
- Experience with regression testing updates to already-deployed software in a safety-critical environment.
- Experience with automotive standards (E.g: ISO 12207, ISO 26262, ISO 21448)
- Experience with software quality management and assurance activities (E.g: IATF 16949, ISO 9001)
- Thorough understanding of robotics systems including sensors, actuators, mechatronics and software systems
- Work in cross collaboration teams to address problems and find solutions
Physical Demands:
While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.
Travel Requirements (greater than 20%):
Expected to travel for 1-2 weeks each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business.
Working Environment
The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particlesThe noise level in the environment is low to moderate.
Motional AD LLC is an Equal Employment Opportunity employer and we welcome all qualified applicants. All applicants will receive impartial consideration without regard to race, sex, color, national origin, age, disability, veteran status, genetic data, religion, gender identity, sexual orientation or other legally protected status. Motional AD LLC is a Drug-free workplace.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Senior Engineer, Autonomy ML Systems
Share this job
Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn’t just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.
The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.
Mission Summary:
The Autonomy Subsystems team at Motional is focused on designing and evaluating modules of the autonomy software. We are seeking a talented senior engineer to contribute to evaluation of our machine learning subsystems. Our team performs a variety of evaluations of machine learning models, including offline model eval, evaluation of open and closed-loop re-simulations, and assessment of on-road performance. Our goal is to establish metrics that describe autonomy subsystem performance, evaluate against those metrics to validate performance, and provide meaningful insight to ML developers and teams, working closely alongside them to improve the performance of ML models on the car.
We are looking for a highly-technical systems engineer with experience designing and evaluating safety critical systems and machine learning models. Bring your passion for autonomy, robotics, and machine learning to our team to help build a production-ready system and prepare for our scaled robotaxi service deployment.
Responsibilities:
- Define, prototype, and validate advanced metrics that bring new insights to model performance evaluation for autonomy subsystems (mainly focused on perception, prediction, and planning).
- Assess coverage of existing training and testing, then curate test sets that sufficiently capture Motional’s intended deployment operational design domain, across many axes (agent types, interaction types, map/spatial, etc.).
- Evaluate machine learning model performance against these metrics and tests.
- Assess system-level performance and subsystem contribution to system behavior through large-scale data analysis of on-road and simulation events.
- Define performance requirements for autonomy subsystems, and supporting analyses required to establish these targets.
- Coordinate subsystem-level evaluation with other system-level testing efforts across the systems team in support of the safety case and safety claims.
Qualifications:
- An engineer who has demonstrated strong cross-functional collaborative skills and is highly self-starting. This is a highly cooperative role across systems, autonomy, infrastructure, and other parts of the organization.
- Proven engineer with 5+ years of experience working on high-tech safety critical systems or robotics, ideally from a systems, robotics, or similar background.
- Master’s degree in relevant fields (systems, robotics, ML, CS, etc.) or Bachelor’s degree plus significant relevant in-field experience.
- Skilled Python developer, familiarity with analyzing the large scale data required to train and test ML models.
- Experience designing unique metrics that capture key aspects of system behavior and are used to enhance model development.
Bonus Skills:
- Experience training machine learning models, familiarity with state-of-the-art ML model architectures.
- Deep experience with a specific aspect of machine learning for autonomous robotics (perception, prediction, or planning).
- Knowledge of C++, especially applied to safety critical systems.
- Experience with systems verification and validation techniques
- Experience with regression testing updates to already-deployed software in a safety-critical environment.
- Experience with automotive standards (E.g: ISO 12207, ISO 26262, ISO 21448)
- Experience with software quality management and assurance activities (E.g: IATF 16949, ISO 9001)
- Thorough understanding of robotics systems including sensors, actuators, mechatronics and software systems
- Work in cross collaboration teams to address problems and find solutions
Physical Demands:
While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.
Travel Requirements (greater than 20%):
Expected to travel for 1-2 weeks each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business.
Working Environment
The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particlesThe noise level in the environment is low to moderate.
Motional AD LLC is an Equal Employment Opportunity employer and we welcome all qualified applicants. All applicants will receive impartial consideration without regard to race, sex, color, national origin, age, disability, veteran status, genetic data, religion, gender identity, sexual orientation or other legally protected status. Motional AD LLC is a Drug-free workplace.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Senior Engineer, Autonomy ML Systems
Share this job
Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn’t just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.
The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.
Mission Summary:
The Autonomy Subsystems team at Motional is focused on designing and evaluating modules of the autonomy software. We are seeking a talented senior engineer to contribute to evaluation of our machine learning subsystems. Our team performs a variety of evaluations of machine learning models, including offline model eval, evaluation of open and closed-loop re-simulations, and assessment of on-road performance. Our goal is to establish metrics that describe autonomy subsystem performance, evaluate against those metrics to validate performance, and provide meaningful insight to ML developers and teams, working closely alongside them to improve the performance of ML models on the car.
We are looking for a highly-technical systems engineer with experience designing and evaluating safety critical systems and machine learning models. Bring your passion for autonomy, robotics, and machine learning to our team to help build a production-ready system and prepare for our scaled robotaxi service deployment.
Responsibilities:
- Define, prototype, and validate advanced metrics that bring new insights to model performance evaluation for autonomy subsystems (mainly focused on perception, prediction, and planning).
- Assess coverage of existing training and testing, then curate test sets that sufficiently capture Motional’s intended deployment operational design domain, across many axes (agent types, interaction types, map/spatial, etc.).
- Evaluate machine learning model performance against these metrics and tests.
- Assess system-level performance and subsystem contribution to system behavior through large-scale data analysis of on-road and simulation events.
- Define performance requirements for autonomy subsystems, and supporting analyses required to establish these targets.
- Coordinate subsystem-level evaluation with other system-level testing efforts across the systems team in support of the safety case and safety claims.
Qualifications:
- An engineer who has demonstrated strong cross-functional collaborative skills and is highly self-starting. This is a highly cooperative role across systems, autonomy, infrastructure, and other parts of the organization.
- Proven engineer with 5+ years of experience working on high-tech safety critical systems or robotics, ideally from a systems, robotics, or similar background.
- Master’s degree in relevant fields (systems, robotics, ML, CS, etc.) or Bachelor’s degree plus significant relevant in-field experience.
- Skilled Python developer, familiarity with analyzing the large scale data required to train and test ML models.
- Experience designing unique metrics that capture key aspects of system behavior and are used to enhance model development.
Bonus Skills:
- Experience training machine learning models, familiarity with state-of-the-art ML model architectures.
- Deep experience with a specific aspect of machine learning for autonomous robotics (perception, prediction, or planning).
- Knowledge of C++, especially applied to safety critical systems.
- Experience with systems verification and validation techniques
- Experience with regression testing updates to already-deployed software in a safety-critical environment.
- Experience with automotive standards (E.g: ISO 12207, ISO 26262, ISO 21448)
- Experience with software quality management and assurance activities (E.g: IATF 16949, ISO 9001)
- Thorough understanding of robotics systems including sensors, actuators, mechatronics and software systems
- Work in cross collaboration teams to address problems and find solutions
Physical Demands:
While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.
Travel Requirements (greater than 20%):
Expected to travel for 1-2 weeks each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business.
Working Environment
The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particlesThe noise level in the environment is low to moderate.
Motional AD LLC is an Equal Employment Opportunity employer and we welcome all qualified applicants. All applicants will receive impartial consideration without regard to race, sex, color, national origin, age, disability, veteran status, genetic data, religion, gender identity, sexual orientation or other legally protected status. Motional AD LLC is a Drug-free workplace.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn’t just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.
The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.
Mission Summary:
The Autonomy Subsystems team at Motional is focused on designing and evaluating modules of the autonomy software. We are seeking a talented senior engineer to contribute to evaluation of our machine learning subsystems. Our team performs a variety of evaluations of machine learning models, including offline model eval, evaluation of open and closed-loop re-simulations, and assessment of on-road performance. Our goal is to establish metrics that describe autonomy subsystem performance, evaluate against those metrics to validate performance, and provide meaningful insight to ML developers and teams, working closely alongside them to improve the performance of ML models on the car.
We are looking for a highly-technical systems engineer with experience designing and evaluating safety critical systems and machine learning models. Bring your passion for autonomy, robotics, and machine learning to our team to help build a production-ready system and prepare for our scaled robotaxi service deployment.
Responsibilities:
- Define, prototype, and validate advanced metrics that bring new insights to model performance evaluation for autonomy subsystems (mainly focused on perception, prediction, and planning).
- Assess coverage of existing training and testing, then curate test sets that sufficiently capture Motional’s intended deployment operational design domain, across many axes (agent types, interaction types, map/spatial, etc.).
- Evaluate machine learning model performance against these metrics and tests.
- Assess system-level performance and subsystem contribution to system behavior through large-scale data analysis of on-road and simulation events.
- Define performance requirements for autonomy subsystems, and supporting analyses required to establish these targets.
- Coordinate subsystem-level evaluation with other system-level testing efforts across the systems team in support of the safety case and safety claims.
Qualifications:
- An engineer who has demonstrated strong cross-functional collaborative skills and is highly self-starting. This is a highly cooperative role across systems, autonomy, infrastructure, and other parts of the organization.
- Proven engineer with 5+ years of experience working on high-tech safety critical systems or robotics, ideally from a systems, robotics, or similar background.
- Master’s degree in relevant fields (systems, robotics, ML, CS, etc.) or Bachelor’s degree plus significant relevant in-field experience.
- Skilled Python developer, familiarity with analyzing the large scale data required to train and test ML models.
- Experience designing unique metrics that capture key aspects of system behavior and are used to enhance model development.
Bonus Skills:
- Experience training machine learning models, familiarity with state-of-the-art ML model architectures.
- Deep experience with a specific aspect of machine learning for autonomous robotics (perception, prediction, or planning).
- Knowledge of C++, especially applied to safety critical systems.
- Experience with systems verification and validation techniques
- Experience with regression testing updates to already-deployed software in a safety-critical environment.
- Experience with automotive standards (E.g: ISO 12207, ISO 26262, ISO 21448)
- Experience with software quality management and assurance activities (E.g: IATF 16949, ISO 9001)
- Thorough understanding of robotics systems including sensors, actuators, mechatronics and software systems
- Work in cross collaboration teams to address problems and find solutions
Physical Demands:
While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.
Travel Requirements (greater than 20%):
Expected to travel for 1-2 weeks each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business.
Working Environment
The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particlesThe noise level in the environment is low to moderate.
Motional AD LLC is an Equal Employment Opportunity employer and we welcome all qualified applicants. All applicants will receive impartial consideration without regard to race, sex, color, national origin, age, disability, veteran status, genetic data, religion, gender identity, sexual orientation or other legally protected status. Motional AD LLC is a Drug-free workplace.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Mission Summary:
Motional is seeking a Staff Front End Engineer expert for its Web Visualization Tooling team. This role will directly contribute through the creation of critical web tooling and visualization that allows us to improve our feedback loops for machine learning (ML) engineers and improve the performance and adaptability of our autonomous vehicle (AV) system.
What you'll be doing:
- Drive cross-team standards and best practices for web development
- Own cross team collaboration, ensuring deliveries are made on time and effectively
- Architect and scale a modern frontend ecosystem using React, TypeScript, and Vue.
- Collaborate closely with ML, frontend, UX, data services, data mining, and data annotation teams to align tooling with real-world workflows
- Build mission-critical UI systems used by a variety of internal customers.
- Design initiative experiences for complex, data-heavy workflows.
- Drive best practices around performance, scalability and maintainability
- Ship quickly and iterate in a product driven environment.
What we're looking for:
- Desire to design and build user-facing visual applications, and a passion for good UX.
- Strong proficiency in React, Typescript and modern frontend architecture
- Proficiency in Vue
- Strong product sense with a focus on UX and usability.
- Ability to work with high ownership and autonomy.
- Ability to work autonomously and independently, and to drive development initiatives with little oversight. High aptitude for learning and organization skills.
- Great interpersonal skills and ability to mentor and (on occasion) delegate to other engineers at various levels of relative seniority.
- A well-established technical design and documentation habit
- Capability to work directly with customers to identify foundational needs and provide solutions.
Bonus Points(not required):
- Demonstrated project management expertise / advanced hands-on understanding of project management agility and operational excellence.
- A love for the continuous delivery of value.
- Exposure to backend systems (Node, Python)
- Experience in Game Development or 3D Visualization
We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Staff Front End Engineer
Share this job
Mission Summary:
Motional is seeking a Staff Front End Engineer expert for its Web Visualization Tooling team. This role will directly contribute through the creation of critical web tooling and visualization that allows us to improve our feedback loops for machine learning (ML) engineers and improve the performance and adaptability of our autonomous vehicle (AV) system.
What you'll be doing:
- Drive cross-team standards and best practices for web development
- Own cross team collaboration, ensuring deliveries are made on time and effectively
- Architect and scale a modern frontend ecosystem using React, TypeScript, and Vue.
- Collaborate closely with ML, frontend, UX, data services, data mining, and data annotation teams to align tooling with real-world workflows
- Build mission-critical UI systems used by a variety of internal customers.
- Design initiative experiences for complex, data-heavy workflows.
- Drive best practices around performance, scalability and maintainability
- Ship quickly and iterate in a product driven environment.
What we're looking for:
- Desire to design and build user-facing visual applications, and a passion for good UX.
- Strong proficiency in React, Typescript and modern frontend architecture
- Proficiency in Vue
- Strong product sense with a focus on UX and usability.
- Ability to work with high ownership and autonomy.
- Ability to work autonomously and independently, and to drive development initiatives with little oversight. High aptitude for learning and organization skills.
- Great interpersonal skills and ability to mentor and (on occasion) delegate to other engineers at various levels of relative seniority.
- A well-established technical design and documentation habit
- Capability to work directly with customers to identify foundational needs and provide solutions.
Bonus Points(not required):
- Demonstrated project management expertise / advanced hands-on understanding of project management agility and operational excellence.
- A love for the continuous delivery of value.
- Exposure to backend systems (Node, Python)
- Experience in Game Development or 3D Visualization
We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Mission Summary:
Motional is seeking a Staff Front End Engineer expert for its Web Visualization Tooling team. This role will directly contribute through the creation of critical web tooling and visualization that allows us to improve our feedback loops for machine learning (ML) engineers and improve the performance and adaptability of our autonomous vehicle (AV) system.
What you'll be doing:
- Drive cross-team standards and best practices for web development
- Own cross team collaboration, ensuring deliveries are made on time and effectively
- Architect and scale a modern frontend ecosystem using React, TypeScript, and Vue.
- Collaborate closely with ML, frontend, UX, data services, data mining, and data annotation teams to align tooling with real-world workflows
- Build mission-critical UI systems used by a variety of internal customers.
- Design initiative experiences for complex, data-heavy workflows.
- Drive best practices around performance, scalability and maintainability
- Ship quickly and iterate in a product driven environment.
What we're looking for:
- Desire to design and build user-facing visual applications, and a passion for good UX.
- Strong proficiency in React, Typescript and modern frontend architecture
- Proficiency in Vue
- Strong product sense with a focus on UX and usability.
- Ability to work with high ownership and autonomy.
- Ability to work autonomously and independently, and to drive development initiatives with little oversight. High aptitude for learning and organization skills.
- Great interpersonal skills and ability to mentor and (on occasion) delegate to other engineers at various levels of relative seniority.
- A well-established technical design and documentation habit
- Capability to work directly with customers to identify foundational needs and provide solutions.
Bonus Points(not required):
- Demonstrated project management expertise / advanced hands-on understanding of project management agility and operational excellence.
- A love for the continuous delivery of value.
- Exposure to backend systems (Node, Python)
- Experience in Game Development or 3D Visualization
We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Principal Engineer Team Lead - Trajectory Planning Lead
Share this job
Mission Summary:
As a Technical Lead Manager at Motional, you'll lead a team responsible for the development and delivery of core trajectory planning algorithms via numerical optimization for autonomous vehicles. In this role, you will be at the forefront of shaping the motion planning and control systems that enable our fleet to navigate complex environments safely, efficiently, and comfortably. As a key leader, you will drive the development and continuous performance improvements of cutting-edge trajectory generation algorithms, collaborate with cross-functional teams (Planning, Perception, Prediction, Localization, ML Products, and Systems Engineering), and mentor a talented group of highly skilled engineers to deliver state-of-the-art solutions.
If you are passionate about autonomous driving and being part of our commercial launch this year, thrive on solving challenging real-world problems, and eager to make a significant impact in a rapidly evolving field, we want to hear from you!
What you'll do:
- Lead and scale a high-impact trajectory planning team, defining its technical vision, execution strategy, and long-term organizational role within the Motion organization.
- Drive commercial launch readiness for trajectory planning by delivering on-road driving behavior improvements (safety, comfort, and assertiveness) across the fleet through feature expansion, continuous performance improvements, and innovation through state-of-the art methods.
- Apply a rigorous, metrics-driven framework to quantify and improve on-road performance. Champion leveraging existing training and evaluation pipelines to ensure scalable, production-ready delivery.
- Manage the computational efficiency and real-time performance of trajectory generation algorithms, ensuring latency budget compliance.
- Lead the rapid triage and root-cause analysis (RCA) of critical fleet incidents, translating real-world edge cases into immediate algorithmic refinements and validation sets.
- Oversee the successful execution of complex, multi-team initiatives, ensuring technical alignment from design through deployment while maintaining a rigorous standard for testing and validation to meet the high safety bars required for our commercial launch.
- Coordinate with peer leads to provide technical leadership, making consequential decisions on architectural direction, strategic investments, tactical execution, and technical debt reduction.Ensure technical excellence through rigorous design and code reviews while actively facilitating the professional growth and mentorship of your engineering team. Set and drive ambitious goals that challenge the team to deliver industry-leading trajectory planning solutions.
- Define and negotiate quarterly and annual technical roadmaps aligned with company-level autonomy milestones in coordinate with project managers and execute plans on schedule.
What we're looking for:
- Proven Engineering Leadership: 2+ years of experience managing high-performing development teams, with a demonstrable track record of inspiring, mentoring, and coaching engineers and driving measurable productivity gains.
- Ship-to-Production Mindset: Experience leading the delivery of production-quality algorithms in a high-stakes environment (Autonomous Vehicles, Robotics, or Aerospace). You know what it takes to move from a prototype to a commercially viable product.
- Strategic Vision: Ability to look beyond the immediate deliverables to define and defend a balanced technical roadmap that balances long-term architectural health with the urgent needs of a 2026 commercial launch.
- Technical Domain Expertise: Deep theoretical and practical expertise in numerical optimization and optimal control. You should be highly proficient in areas such as Model Predictive Control, nonlinear programming, and convex optimization applied to real-time trajectory generation.
- Advanced Motion Planning: Significant experience solving motion planning problems under uncertainty, including interaction-aware planning with dynamic agents and complex environmental constraints. Experience with Machine Learning based approaches is a significant plus.
- Full-Stack Robotics Context: Strong intuition for the entire robotics stack. You understand how upstream (Perception, Prediction) and downstream (Control, Actuation) systems impact trajectory feasibility and fleet safety.
- Production-Grade Software Development: Expertise in Modern C++ development within a Linux environment, with a focus on writing high-performance, real-time, and safety-critical code.
- Tooling Proficiency: Fluency in Python for rapid prototyping, data analysis, and visualization. Experience applying AI-augmented development workflows to large-scale Modern C++ codebases (e.g., agentic tools for multi-file refactoring, automated test generation, semantic code navigation, and code review acceleration) is strongly preferred. Experience with SQL or big-data frameworks for fleet-scale performance analysis is a significant plus.
- Influence & Clarity: Exceptional communication skills, with the ability to translate complex mathematical concepts into actionable plans for cross-functional stakeholders and executive leadership.
- Educational Foundation: Master’s or PhD in Robotics, Computer Science, Electrical/Mechanical Engineering, or a related quantitative field.
We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Principal Engineer Team Lead - Trajectory Planning Lead
Share this job
Mission Summary:
As a Technical Lead Manager at Motional, you'll lead a team responsible for the development and delivery of core trajectory planning algorithms via numerical optimization for autonomous vehicles. In this role, you will be at the forefront of shaping the motion planning and control systems that enable our fleet to navigate complex environments safely, efficiently, and comfortably. As a key leader, you will drive the development and continuous performance improvements of cutting-edge trajectory generation algorithms, collaborate with cross-functional teams (Planning, Perception, Prediction, Localization, ML Products, and Systems Engineering), and mentor a talented group of highly skilled engineers to deliver state-of-the-art solutions.
If you are passionate about autonomous driving and being part of our commercial launch this year, thrive on solving challenging real-world problems, and eager to make a significant impact in a rapidly evolving field, we want to hear from you!
What you'll do:
- Lead and scale a high-impact trajectory planning team, defining its technical vision, execution strategy, and long-term organizational role within the Motion organization.
- Drive commercial launch readiness for trajectory planning by delivering on-road driving behavior improvements (safety, comfort, and assertiveness) across the fleet through feature expansion, continuous performance improvements, and innovation through state-of-the art methods.
- Apply a rigorous, metrics-driven framework to quantify and improve on-road performance. Champion leveraging existing training and evaluation pipelines to ensure scalable, production-ready delivery.
- Manage the computational efficiency and real-time performance of trajectory generation algorithms, ensuring latency budget compliance.
- Lead the rapid triage and root-cause analysis (RCA) of critical fleet incidents, translating real-world edge cases into immediate algorithmic refinements and validation sets.
- Oversee the successful execution of complex, multi-team initiatives, ensuring technical alignment from design through deployment while maintaining a rigorous standard for testing and validation to meet the high safety bars required for our commercial launch.
- Coordinate with peer leads to provide technical leadership, making consequential decisions on architectural direction, strategic investments, tactical execution, and technical debt reduction.Ensure technical excellence through rigorous design and code reviews while actively facilitating the professional growth and mentorship of your engineering team. Set and drive ambitious goals that challenge the team to deliver industry-leading trajectory planning solutions.
- Define and negotiate quarterly and annual technical roadmaps aligned with company-level autonomy milestones in coordinate with project managers and execute plans on schedule.
What we're looking for:
- Proven Engineering Leadership: 2+ years of experience managing high-performing development teams, with a demonstrable track record of inspiring, mentoring, and coaching engineers and driving measurable productivity gains.
- Ship-to-Production Mindset: Experience leading the delivery of production-quality algorithms in a high-stakes environment (Autonomous Vehicles, Robotics, or Aerospace). You know what it takes to move from a prototype to a commercially viable product.
- Strategic Vision: Ability to look beyond the immediate deliverables to define and defend a balanced technical roadmap that balances long-term architectural health with the urgent needs of a 2026 commercial launch.
- Technical Domain Expertise: Deep theoretical and practical expertise in numerical optimization and optimal control. You should be highly proficient in areas such as Model Predictive Control, nonlinear programming, and convex optimization applied to real-time trajectory generation.
- Advanced Motion Planning: Significant experience solving motion planning problems under uncertainty, including interaction-aware planning with dynamic agents and complex environmental constraints. Experience with Machine Learning based approaches is a significant plus.
- Full-Stack Robotics Context: Strong intuition for the entire robotics stack. You understand how upstream (Perception, Prediction) and downstream (Control, Actuation) systems impact trajectory feasibility and fleet safety.
- Production-Grade Software Development: Expertise in Modern C++ development within a Linux environment, with a focus on writing high-performance, real-time, and safety-critical code.
- Tooling Proficiency: Fluency in Python for rapid prototyping, data analysis, and visualization. Experience applying AI-augmented development workflows to large-scale Modern C++ codebases (e.g., agentic tools for multi-file refactoring, automated test generation, semantic code navigation, and code review acceleration) is strongly preferred. Experience with SQL or big-data frameworks for fleet-scale performance analysis is a significant plus.
- Influence & Clarity: Exceptional communication skills, with the ability to translate complex mathematical concepts into actionable plans for cross-functional stakeholders and executive leadership.
- Educational Foundation: Master’s or PhD in Robotics, Computer Science, Electrical/Mechanical Engineering, or a related quantitative field.
We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional