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 Senior Systems Engineer to join Aurora’s Software Systems, Safety, and Test Engineering team. Systems, Safety, and Test Engineering is responsible for the engineering work to verify and validate Aurora’s self-driving technology - an unsolved problem for the industry and one of the most difficult challenges in the history of systems engineering. The System Test team is responsible for supporting system-level autonomy development, verification, and validation by delivering decision-quality information via test and evaluation of the Aurora Driver.

In this role, you will

• Work alongside leadership in developing strategies for testing the Aurora Driver
• Leverage diverse testing methods including simulation, Hardware-In-Loop (HIL), track, and road testing in support of autonomy development and system verification and validation
• Plan and execute tests, analyze results, and identify defects or anomalies in system behavior
• Work closely with development teams to investigate root causes and drive resolution of issues
• Provide frequent, simple, and clear written and verbal communication of complex ideas to external teams, peers, and stakeholders
• Design, develop, execute, and train others in processes that embody test engineering best practice

Required Qualifications

• BS degree in Systems Engineering, Computer Science, Information Systems, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, or another relevant engineering field
• 8+ years of highly relevant industry experience
• Proven experience in test and evaluation of complex systems
• Experience with test methods, tools, and frameworks
• Ability to synthesize data into meaningful information to support decision making
• Excellent problem-solving skills and attention to detail

 Desirable Qualifications 

• Experience in testing high-risk and safety critical products
• Application of engineering and/or operational risk assessment methodologies
• Proficiency in scripting languages (e.g. Python, bash) with an emphasis around data management for test reports
• Previous experience with autonomous systems (particularly automotive-based)
• Proficiency in JAMA for requirements management and testing
• Knowledge of automotive safety standards (e.g. ASPICE, ISO 26262, SOTIF) and familiarity with regulatory requirements or evaluation standards for autonomous vehicles (e.g. UL4600, Euro NCAP)
• Prior experience with sophisticated, mission-critical hardware and/or software within a safety critical industry (e.g. aerospace, defense, medical, transportation)
• Familiarity with software development methodologies, version control systems (e.g. Git and continuous integration (CI) pipelines

The base salary range for this position is  $135,000 - $216,000 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.

 #LI-td-1

 #Mid-Senior 

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 Platform 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 we need someone who makes our security tools actually work, not just deployed, but deeply configured, continuously tuned, and fully leveraged. This role is for the practitioner who has spent their career living inside security platforms: the person who knows their EDR better than the vendor's own support team, who can write a SIEM query from memory, and who instinctively knows when an alert is misfiring and exactly why.

This is not a software engineering role. It's a role for an elite security operator — someone with the instincts of a seasoned SOC analyst and the technical depth to own the platforms that power detection, response, and protection at enterprise scale. If you find deep satisfaction in mastering a tool, closing a coverage gap, or hunting down a threat that nobody else noticed, this role was written for you.

In this role you will

• Own the operational health, configuration, and continuous improvement of Aurora's enterprise security platform stack — including EDR/XDR, MDM, SIEM, DLP, IAM/IGA, DNS security, Email security, and PKI — ensuring each tool is tuned, policy-complete, and delivering reliable signal.
• Develop and refine detection rules, correlation logic, and alert policies, reducing noise while ensuring Aurora maintains high-fidelity coverage against real threats.
• Conduct proactive threat hunting across Aurora's security telemetry — forming hypotheses, querying logs, and investigating anomalies before they surface as incidents.
• Serve as the deepest internal expert on Aurora's enterprise security tooling, acting as the escalation point for complex platform issues, misconfigurations, and detection failures.
• Participate in the team's on-call rotation, leading deep-dive investigations into security alerts and incidents and driving triage, containment, and root cause analysis.
• Continuously audit and validate that existing security controls are configured to actually do what they're supposed to do — not just deployed and forgotten.
• Maintain operational runbooks, detection documentation, and platform configuration records, ensuring the team can operate consistently and scale institutional knowledge.

Required qualifications

• 12+ years of hands-on experience in enterprise security operations, security platform administration, or a senior SOC engineering role — with a career built on deep operational ownership of security tooling rather than software development.
• Expert-level proficiency administering and operating at least two enterprise security platforms (e.g., CrowdStrike, SentinelOne, Splunk, Panther, Sentinel, Jamf, Kandji/Iru, Puppet, WorkspaceONE, Intune, Zscaler, Okta, Proofpoint, Wiz, osquery), with strong working knowledge across several others.
• Demonstrated ability to tune and optimize security platforms beyond out-of-the-box configurations — writing custom detection logic, adjusting policy sets, and validating control effectiveness.
• Strong log analysis and threat hunting skills: you know how to build a hypothesis, write the query, follow the thread, and know when to escalate.
• Experience conducting thorough incident investigations — triage, containment, root cause analysis, and post-incident review — and communicating findings clearly to technical and non-technical stakeholders.
• Ability to assess security control effectiveness: not just "is this tool deployed" but "is it configured correctly, covering the right scope, and generating actionable signal."
• Comfort working under pressure in ambiguous, fast-moving situations with competing priorities.

Desirable qualifications

• Scripting ability for automation, log parsing, or workflow improvement (Python, Bash, or similar) — you don't need to be a software engineer, but you can write a script when it saves you an hour.
• Deep familiarity with MITRE ATT&CK as an operational tool for detection gap analysis and threat hunting hypothesis development.
• Experience with AWS security telemetry (CloudTrail, GuardDuty, Security Hub) and integrating cloud signals into a corporate SIEM.
• Familiarity with Zero Trust and identity-centric security models as they apply to policy enforcement in IAM and endpoint platforms.
• Platform-specific certifications such as CrowdStrike Certified Falcon Administrator, Splunk Core Certified Power User, or equivalent — or practitioner certifications like GCIH, GCIA, GCFE, or GCFA.

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.

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 

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.

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.

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 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

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 are looking for a visionary Staff Technical Lead Manager (TLM), IT Systems Engineering to build and lead our Applications Engineering team. This is a unique opportunity to shape the strategy, technical direction, and culture of a team that will directly impact the entire organization. As a Staff TLM, you will be responsible for both managing a talented team of systems engineers and system administrators and providing hands-on technical leadership. You will architect a cohesive and secure SaaS ecosystem, drive our enterprise AI strategy, and champion a culture of automation and continuous improvement. Your team manages the critical SaaS applications, integrations and automations that powers our engineering and business operations. This team drives the use of Enterprise AI to create intelligent, end-to-end solutions that drive efficiency and unlock new capabilities for everyone at Aurora.

In this role, you will

• Develop and execute a long-term strategy and roadmap for the Corporate Engineering function that enables tooling for: Incident management, Knowledge and Document Management, Work and project management, Analytics and Visualization, Communication, etc.
• Design and oversee a scalable, secure, and integrated ecosystem of enterprise applications (Jira, Confluence, Slack, Google Workspace, OpsGenie, Firehydrant, etc.). Lead the charge in eliminating manual work by building robust automation and integration workflows using APIs, webhooks, and integration platforms.
• Provide technical guidance, review system architecture, and contribute to complex integration and automation projects. Serve as the primary technical expert for the team's domain.
• Partner with stakeholders across Security, IT, and Engineering to understand their needs, gather requirements, and ensure seamless delivery of solutions. Champion best practices for application governance, security, and data management.
• Lead the strategy and execution of enterprise AI solutions and productivity tools.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
• 8+ years of experience in IT, software engineering, or systems engineering, with at least 3+ years in leading engineering teams in delivering complex, large-scale enterprise applications or platform services.
• Deep, hands-on experience administering and integrating a suite of modern SaaS applications (e.g., Atlassian suite, Google Workspace, Slack, an incident management platform)
• Strong proficiency in a scripting language (e.g., Python, JavaScript/Google Apps Script) and extensive experience with APIs, webhooks, and integration platforms
• Experience in implementing and leveraging AI solutions.
• Strong understanding of APIs, integrations, and cloud-native architectures.
• Strong communication and presentation skills. 

The base salary range for this position is $139,000 - $223,000. 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

About The Role

Our software team is growing and we are looking for a talented engineer to join our agile, world-class team. In this role you will develop autonomous behaviors for humanoid robots to interact with the world around it. You will work closely with state estimation, navigation, and controls teams to execute behaviors aimed at solving challenging problems in real-world deployments.

About The Work

• Design, implement, test, and deploy autonomous behaviors for humanoid robots
• Prototype autonomous behaviors in simulation and execute on robot hardware
• Develop algorithms robust to environmental uncertainty and imperfect state estimation
• Implement performance tests for evaluating the reliability of robot behaviors
• Contribute to the software architecture and design of the autonomy stack
• Collaborate with members of the autonomy teams to solve complex cross functional problems
• Engineer high quality software that is well tested, reliable and maintainable

About You

• Industry experience deploying mobile manipulation robots in real world applications
• Experience developing manipulation algorithms on high-DOF robots
• Familiarity with behavior trees, finite state machines, or similar behavior management and execution systems
• Experience with perception and scene understanding especially as it pertains to manipulation
• Strong robotics fundamentals, including kinematics, dynamics, sensing, and control
• Experience using simulation tools such as Isaac Sim / Mujoco / Drake / gazebo or similar
• Experience with automated testing for simulation
• Strong debugging skills; the ability to identify and diagnose complex issues that arise within robotics
• Strong software experience in modern C++ and Python

Bonus Qualifications

• Experience working with humanoid (or similar) robots
• Experience leveraging machine learning to improve grasp planning and object manipulation
• Experience in classical robotics motion planning and trajectory optimization algorithms
• MS or Ph.D. in robotics, computer science, or related field or have equivalent industry experience
• Publications in your field (RSS, ICRA, IROS preferred)

We are open to remote candidates, but a prefer this role to be 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.

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.

Position Overview

Woolpert is hiring a Senior Software Engineer to join our dynamic Atlas Labs team supporting our Geospatial sector. This position reports to the Director of Product and AI. Atlas Labs oversees technology development for Woolpert’s Geospatial sector, including various types of AI model development, R&D, software infrastructure, and user-facing products.

We are unable to provide visa sponsorship for this position.  Applicants must already possess work authorization in the country the job is located.

What You Will Do:

• Contribute to the planning, research, design, architecture, development, and testing of Atlas Labs software features. You’ll write code daily, definitely in Python and possibly in C++ or JavaScript.
• Work as part of a cross-functional Scrum team with domain experts in AI/ML, Geospatial Data, Software Engineering, and GIS.
• Collaborate with internal and external users to ensure the correctness, quality, and availability of Atlas Labs software products.

What You Will Bring:

• Meaningful employment experience working on commercial software products
• Experience writing production code in Python, preferably dealing with large datasets
• Demonstrated experience or academic output in a relevant domain:
• Geospatial Data Processing
• Computer Vision
• AI & Machine Learning
• LiDAR
• Robotics/Self-Driving/Autonomy
• General familiarity with relevant technologies:
• Linux, Docker, and GitHub
• AI/ML frameworks (Tensorflow, Pytorch)
• Cloud platforms (Azure, AWS, Google)

Nice to Have:

• Familiarity with GIS applications like ESRI, QGIS, Google Earth
• Familiarity with orchestration frameworks like Kubernetes, AirFlow, MLFlow
• Programming experience in C++ or JavaScript
• Experience with Agile processes like Scrum

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!

#LI-Hybrid

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 hardware sensing team is responsible for the benchmarking, characterizing, and nomination and integration of all sensors. We work cross functionally with systems, perceptions, vehicle integration to ensure the sensors meet Latitude’s ODD requirements, perception requirements, and that it is integrable and reliable in Ford’s series vehicles. We are expected to understand sensing from a first principle approach and to ensure those principles are designable and manufacturable.  We keep a breadth of all sensing technology, sensing vendors, and integration technologies. Members of the team are expected to be highly multidisciplinary, as successful sensor integration requires expert understanding and comfortability of concepts across many disciplines–from hardware and software.

What you’ll do: 

• Lead technical development of radar or lidar sensing systems from early concept, benchmarking, and sourcing through production launch
• Define sensor performance targets, requirements, evaluation criteria, and validation plans based on vehicle, perception, and ODD needs
• Drive sensor benchmarking and technical down-selection across candidate suppliers and technologies
• Lead supplier technical engagement, including requirements reviews, data reviews, architecture discussions, issue resolution, and design maturity assessments
• Guide architecture and tradeoff decisions related to sensing performance, environmental robustness, packaging, thermal constraints, power, diagnostics, manufacturability, and cost
• Work cross-functionally with systems, perception, firmware, validation, vehicle integration, manufacturing, and quality teams to ensure the sensor meets downstream functional and program needs
• Review test data from supplier, bench, track, and vehicle testing; identify performance gaps; determine root cause; and drive corrective actions
• Assess whether supplier evidence is technically credible by reviewing test conditions, assumptions, filtering, sample quality, boundary cases, repeatability, and alignment to sensor physics and system requirements
• Lead technical reviews and challenge unsupported claims, weak correlation, incomplete validation, and conclusions that do not match observed data or first-principles behavior
• Establish technical plans, milestones, risks, and mitigation strategies to keep sensor programs on track toward nomination and launch
• Communicate technical status, open issues, and tradeoffs clearly to engineering leadership and cross-functional partners

What you'll need to succeed:

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 7+ years of relevant experience (or Master's degree and 5+ years of relevant experience, or PhD and 2+ years of relevant experience)
• 8+ years of experience in automotive sensing, with deep hands-on expertise in either radar or lidar and demonstrated technical leadership on complex hardware programs
• Strong first-principles understanding of the relevant sensing modality:
  • Radar: RF fundamentals, range/Doppler/angle estimation, resolution, interference, multipath, ghosting, calibration, synchronization, and environmental effects
  • Lidar: time-of-flight or FMCW fundamentals, ranging accuracy, reflectivity effects, point cloud quality, contamination, weather impacts, optical alignment, calibration, and environmental robustness
• Strong scripting and analysis capability in python, including hands-on use of NumPy, pandas, Jupyter, and similar tools to parse logs, evaluate sensor performance, trend issues, and build repeatable analysis workflows
• Ability to work directly with sensor data and debug artifacts, including supplier logs, raw captures, decoded outputs, and vehicle test datasets, and determine whether the data is complete, valid, and physically credible
• Practical experience with day-to-day engineering tools such as Wireshark/PCAP analysis, CAN tools (CANoe/CANalyzer or similar), ROS/rosbag or equivalent logging frameworks, point cloud or radar visualization tools, and common automotive data interfaces such as CAN, CAN FD, and automotive Ethernet
• Ability to independently judge whether supplier test results are correct by evaluating test setup, calibration state, ground truth method, statistical significance, repeatability, boundary conditions, applied filters, KPI definitions, and consistency with known sensor behavior
• Ability to lead and critically assess technical design reviews (TDRs) by identifying weak assumptions, incomplete validation, inconsistent requirements traceability, misleading metrics, and conclusions that are not supported by the underlying data
• Experience translating system and perception needs into sensor requirements, validation methods, and supplier deliverables
• Experience working across hardware, firmware, systems, perception, validation, manufacturing, and supplier teams to drive root cause and resolution
• Strong technical judgment and communication skills, with the ability to make and defend tradeoffs across performance, cost, timing, integration, and reliability

Nice to have: 

• Master’s degree or PhD in Electrical Engineering, Physics, Robotics, Computer Science, or a related field
• Experience leading supplier nomination, sourcing, or technical selection for radar or lidar hardware
• Experience bringing radar or lidar systems into automotive production
• Familiarity with DV/PV, DFMEA, APQP, PPAP, functional safety, automotive quality processes, and production release expectations
• Working knowledge of perception, tracking, calibration, and downstream use of radar or lidar data in automated driving systems
• Experience supporting multiple vehicle platforms or series-production programs

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 $191,920 - $287,880 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.

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 hardware sensing team is responsible for the benchmarking, characterizing, and nomination and integration of all sensors. We work cross functionally with systems, perceptions, vehicle integration to ensure the sensors meet Latitude’s ODD requirements, perception requirements, and that it is integrable and reliable in Ford’s series vehicles. We are expected to understand sensing from a first principle approach and to ensure those principles are designable and manufacturable.  We keep a breadth of all sensing technology, sensing vendors, and integration technologies. Members of the team are expected to be highly multidisciplinary, as successful sensor integration requires expert understanding and comfortability of concepts across many disciplines–from hardware and software.

What you’ll do: 

• Lead technical development of radar or lidar sensing systems from early concept, benchmarking, and sourcing through production launch
• Define sensor performance targets, requirements, evaluation criteria, and validation plans based on vehicle, perception, and ODD needs
• Drive sensor benchmarking and technical down-selection across candidate suppliers and technologies
• Lead supplier technical engagement, including requirements reviews, data reviews, architecture discussions, issue resolution, and design maturity assessments
• Guide architecture and tradeoff decisions related to sensing performance, environmental robustness, packaging, thermal constraints, power, diagnostics, manufacturability, and cost
• Work cross-functionally with systems, perception, firmware, validation, vehicle integration, manufacturing, and quality teams to ensure the sensor meets downstream functional and program needs
• Review test data from supplier, bench, track, and vehicle testing; identify performance gaps; determine root cause; and drive corrective actions
• Assess whether supplier evidence is technically credible by reviewing test conditions, assumptions, filtering, sample quality, boundary cases, repeatability, and alignment to sensor physics and system requirements
• Lead technical reviews and challenge unsupported claims, weak correlation, incomplete validation, and conclusions that do not match observed data or first-principles behavior
• Establish technical plans, milestones, risks, and mitigation strategies to keep sensor programs on track toward nomination and launch
• Communicate technical status, open issues, and tradeoffs clearly to engineering leadership and cross-functional partners

What you'll need to succeed:

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 7+ years of relevant experience (or Master's degree and 5+ years of relevant experience, or PhD and 2+ years of relevant experience)
• 8+ years of experience in automotive sensing, with deep hands-on expertise in either radar or lidar and demonstrated technical leadership on complex hardware programs
• Strong first-principles understanding of the relevant sensing modality:
  • Radar: RF fundamentals, range/Doppler/angle estimation, resolution, interference, multipath, ghosting, calibration, synchronization, and environmental effects
  • Lidar: time-of-flight or FMCW fundamentals, ranging accuracy, reflectivity effects, point cloud quality, contamination, weather impacts, optical alignment, calibration, and environmental robustness
• Strong scripting and analysis capability in python, including hands-on use of NumPy, pandas, Jupyter, and similar tools to parse logs, evaluate sensor performance, trend issues, and build repeatable analysis workflows
• Ability to work directly with sensor data and debug artifacts, including supplier logs, raw captures, decoded outputs, and vehicle test datasets, and determine whether the data is complete, valid, and physically credible
• Practical experience with day-to-day engineering tools such as Wireshark/PCAP analysis, CAN tools (CANoe/CANalyzer or similar), ROS/rosbag or equivalent logging frameworks, point cloud or radar visualization tools, and common automotive data interfaces such as CAN, CAN FD, and automotive Ethernet
• Ability to independently judge whether supplier test results are correct by evaluating test setup, calibration state, ground truth method, statistical significance, repeatability, boundary conditions, applied filters, KPI definitions, and consistency with known sensor behavior
• Ability to lead and critically assess technical design reviews (TDRs) by identifying weak assumptions, incomplete validation, inconsistent requirements traceability, misleading metrics, and conclusions that are not supported by the underlying data
• Experience translating system and perception needs into sensor requirements, validation methods, and supplier deliverables
• Experience working across hardware, firmware, systems, perception, validation, manufacturing, and supplier teams to drive root cause and resolution
• Strong technical judgment and communication skills, with the ability to make and defend tradeoffs across performance, cost, timing, integration, and reliability

Nice to have: 

• Master’s degree or PhD in Electrical Engineering, Physics, Robotics, Computer Science, or a related field
• Experience leading supplier nomination, sourcing, or technical selection for radar or lidar hardware
• Experience bringing radar or lidar systems into automotive production
• Familiarity with DV/PV, DFMEA, APQP, PPAP, functional safety, automotive quality processes, and production release expectations
• Working knowledge of perception, tracking, calibration, and downstream use of radar or lidar data in automated driving systems
• Experience supporting multiple vehicle platforms or series-production programs

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 $191,920 - $287,880 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.

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 hardware sensing team is responsible for the benchmarking, characterizing, and nomination and integration of all sensors. We work cross functionally with systems, perceptions, vehicle integration to ensure the sensors meet Latitude’s ODD requirements, perception requirements, and that it is integrable and reliable in Ford’s series vehicles. We are expected to understand sensing from a first principle approach and to ensure those principles are designable and manufacturable.  We keep a breadth of all sensing technology, sensing vendors, and integration technologies. Members of the team are expected to be highly multidisciplinary, as successful sensor integration requires expert understanding and comfortability of concepts across many disciplines–from hardware and software.

What you’ll do: 

• Test Strategy & Compliance: Lead the development of Design Verification (DV) and Production Validation (PV) plans. Ensure all hardware-level testing aligns with Ford automotive standards (CETP) and international standards such as ISO 16750 and ISO 26262
• Sensor Validation: Execute and oversee comprehensive testing for sensing modalities including Camera (optics/image quality), Radar (RF performance), Lidar (point cloud accuracy), IMU, and GPS/GNSS
• Reliability Engineering: Conduct environmental and mechanical stress testing (thermal cycling, vibration/shock, humidity, ingress protection, and EMC/EMI) to determine Mean Time To Failure (MTTF) and ensure 10-year/150,000-mile durability
• Vendor & Lab Management: Act as the primary technical point of contact for Tier 1 suppliers and external test labs. Manage the statement of work (SOW), audit lab setups, and ensure external testing is executed to Ford’s precision requirements
• Test Automation & Scripting: Develop and maintain automated test scripts (Python, MATLAB, or Bash) to streamline data acquisition, sensor calibration, and post-processing of large datasets
• Data Analysis & Reporting: Review and interpret complex test results. Perform root cause analysis (RCA) on hardware failures and work closely with design teams to implement hardware revisions
• Cross-Functional Leadership: Mentor junior engineers and collaborate with Systems Engineering, Perception Teams, and Manufacturing to ensure sensor hardware integrates seamlessly into the vehicle platform

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)
• Minimum of seven years of professional experience in hardware testing or reliability engineering.
• Extensive experience testing sensing technologies such as cameras, radar, lidar
• Proficiency in writing scripts using Python or similar languages for data analysis and automation.
• Demonstrated ability to manage projects involving external laboratories and global suppliers.
• Expertise in applying standardized automotive engineering test procedures for environmental and mechanical durability.
• Strong analytical skills for identifying the root cause of hardware malfunctions in automotive electronics.

Nice to have: 

• Direct experience in hardware product development for automotive with a focus on sensing products
• Direct experience/exposure to product development of silicon products such as transceivers, imagers, MCUs
• Manufacturing or industrialization of electronics products

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 $160,000 - $240,000 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.

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.

Mission Summary:

Motional’s onboard autonomous driving system team works at the intersection of software engineering, machine learning, sensors, and hardware compute platforms to evolve Motional’s next-generation on-board autonomous driving system. As part of this team, the High Performance Compute Platform team is responsible for Motional’s current and next-generation onboard autonomous driving system. If you are a software engineer and love the idea of working on embedded AI hardware and software compute systems to create the next generation of autonomous vehicles, we would love to talk with you. We are hiring in a range of levels, from graduate engineers to Staff engineers.

What You'll Be Doing:

• Design and develop infrastructure software on various hardware platforms for applications such as vision processing, radar systems, safety monitoring, etc., to be run on self-driving vehicles.
• Design test harnesses for embedded software components and full systems
• Provide technical mentorship to engineers.
• Proactively work with cross-functional engineering teams to solve complex and interesting problems.
  
  

What We're Looking For:

• Experience with creating detailed requirements from use cases.
• Ability to lead a technical initiative, including breaking down work and guiding other engineers through execution.
• Experience writing software for embedded platforms in C and C++.
• Experience with Test-Driven Development (TDD).
• Experience working on embedded Linux / RTOSs.
• Experience working with networks (Ethernet, CAN etc.) and the common networking protocols.
• Experience with debugging on embedded platforms.
• Experience writing software in Python and experience doing automation with shell scripting.
• Experience working with ARM Cortex MCUs or Microprocessors.
  
  

Bonus Points (not required):

• Experience working with large data pipelines, and platforms that require deterministic execution.
• Experience using inter-system communication protocols such as I2C and SPI
• Experience deploying Machine Learning models.
• Experience working with GPUs.
• Experience working directly with the Linux kernel or Device Drivers.
• Experience with Simulation and Code Generation, and knowing when their use is appropriate.
• Experience working with Bazel.
• Experience integrating various sensors, including Cameras, IMUs, Radars, LIDARs.
• Experience with PyTorch, TensorFlow, ONNX, and/or other ML frameworks. 
  
  

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.

Mission Summary:

Motional’s onboard autonomous driving system team works at the intersection of software engineering, machine learning, sensors, and hardware compute platforms to evolve Motional’s next-generation on-board autonomous driving system. As part of this team, the High Performance Compute Platform team is responsible for Motional’s current and next-generation onboard autonomous driving system. If you are a software engineer and love the idea of working on embedded AI hardware and software compute systems to create the next generation of autonomous vehicles, we would love to talk with you. We are hiring in a range of levels, from graduate engineers to Staff engineers.

What You'll Be Doing:

• Design and develop infrastructure software on various hardware platforms for applications such as vision processing, radar systems, safety monitoring, etc., to be run on self-driving vehicles.
• Design test harnesses for embedded software components and full systems
• Provide technical mentorship to engineers.
• Proactively work with cross-functional engineering teams to solve complex and interesting problems.
  
  

What We're Looking For:

• Experience with creating detailed requirements from use cases.
• Ability to lead a technical initiative, including breaking down work and guiding other engineers through execution.
• Experience writing software for embedded platforms in C and C++.
• Experience with Test-Driven Development (TDD).
• Experience working on embedded Linux / RTOSs.
• Experience working with networks (Ethernet, CAN etc.) and the common networking protocols.
• Experience with debugging on embedded platforms.
• Experience writing software in Python and experience doing automation with shell scripting.
• Experience working with ARM Cortex MCUs or Microprocessors.
  
  

Bonus Points (not required):

• Experience working with large data pipelines, and platforms that require deterministic execution.
• Experience using inter-system communication protocols such as I2C and SPI
• Experience deploying Machine Learning models.
• Experience working with GPUs.
• Experience working directly with the Linux kernel or Device Drivers.
• Experience with Simulation and Code Generation, and knowing when their use is appropriate.
• Experience working with Bazel.
• Experience integrating various sensors, including Cameras, IMUs, Radars, LIDARs.
• Experience with PyTorch, TensorFlow, ONNX, and/or other ML frameworks. 
  
  

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.

Mission Summary:

Motional’s onboard autonomous driving system team works at the intersection of software engineering, machine learning, sensors, and hardware compute platforms to evolve Motional’s next-generation on-board autonomous driving system. As part of this team, the High Performance Compute Platform team is responsible for Motional’s current and next-generation onboard autonomous driving system. If you are a software engineer and love the idea of working on embedded AI hardware and software compute systems to create the next generation of autonomous vehicles, we would love to talk with you. We are hiring in a range of levels, from graduate engineers to Staff engineers.

What You'll Be Doing:

• Design and develop infrastructure software on various hardware platforms for applications such as vision processing, radar systems, safety monitoring, etc., to be run on self-driving vehicles.
• Design test harnesses for embedded software components and full systems
• Provide technical mentorship to engineers.
• Proactively work with cross-functional engineering teams to solve complex and interesting problems.
  
  

What We're Looking For:

• Experience with creating detailed requirements from use cases.
• Ability to lead a technical initiative, including breaking down work and guiding other engineers through execution.
• Experience writing software for embedded platforms in C and C++.
• Experience with Test-Driven Development (TDD).
• Experience working on embedded Linux / RTOSs.
• Experience working with networks (Ethernet, CAN etc.) and the common networking protocols.
• Experience with debugging on embedded platforms.
• Experience writing software in Python and experience doing automation with shell scripting.
• Experience working with ARM Cortex MCUs or Microprocessors.
  
  

Bonus Points (not required):

• Experience working with large data pipelines, and platforms that require deterministic execution.
• Experience using inter-system communication protocols such as I2C and SPI
• Experience deploying Machine Learning models.
• Experience working with GPUs.
• Experience working directly with the Linux kernel or Device Drivers.
• Experience with Simulation and Code Generation, and knowing when their use is appropriate.
• Experience working with Bazel.
• Experience integrating various sensors, including Cameras, IMUs, Radars, LIDARs.
• Experience with PyTorch, TensorFlow, ONNX, and/or other ML frameworks. 
  
  

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.

Motional’s Pittsburgh office is located in the new Hazelwood Green development, a culmination of the city’s goal of restoring an economic driver to the neighborhood in a thoughtful, inclusive, and sustainable way. With views along the Monongahela river, the Pittsburgh office is in the heart of this new state of the art development.

Mission Summary:

• Lead the design, development, and integration of complex electrical and mechanical systems for autonomous vehicles, ensuring they meet rigorous performance, safety, and reliability standards.
• Architect, analyze, and optimize vehicle electrical and networking systems (Automotive Ethernet, CAN) to enhance data throughput, fault tolerance, and system scalability.
• Spearhead the diagnosis and resolution of complex, intermittent system failures using advanced debugging tools (e.g., high-speed oscilloscopes, spectrum analyzers, logic analyzers) and sophisticated PC-based diagnostic and simulation software.
• Mentor junior engineers on best practices for system triage, troubleshooting, repair, and validation.
• Develop and execute comprehensive integration test plans for new vehicle features and subsystems, coordinating efforts across multiple engineering disciplines and external partners.
• Author and maintain high-level technical documentation for system architectures, design requirements, and validation procedures.
  
  

What we're looking for:

• Expert-level knowledge of vehicle electrical and networking systems (CAN, LIN, Ethernet, etc.) with a deep understanding of communication protocols and their limitations.
• Proven track record of success in root-cause analysis, systematic issue isolation, and resolution for complex hardware-software integration problems.
• Extensive experience with advanced Linux terminal troubleshooting, including scripting and low-level system diagnostics.
• Deep understanding of computer system architecture, including embedded systems, processing units, and networking hardware.
• Demonstrated ability to author and maintain highly technical documentation, including design specifications, test reports, and system validation plans.
• Exceptional problem-solving skills and the ability to thrive in a fast-paced, ambiguous environment.
• Excellent communication and interpersonal skills to effectively lead cross-functional teams and collaborate with external suppliers and partners.
• Extensive experience with various sensors, including cameras, LiDAR, and RADAR, and an understanding of their integration challenges.
• Master's degree or equivalent in Electrical, Mechanical, or Systems Engineering, or 10+ years of relevant experience in a senior-level role.
  
  

Preferred, but not required:

• Professional proficiency in programming languages such as Python or C++ for scripting, automation, and data analysis.
• Experience with advanced issue-tracking and project management platforms (e.g., JIRA, Polarion, Confluence), including dashboard creation and workflow optimization.
• Working knowledge of functional safety standards (e.g., ISO 26262) and their application in autonomous systems.

This role is hybrid from our Pittsburgh office. It requires in-office days each week.

About the Role

We are looking for a Staff Robotics Software Engineer (Tech Lead) to lead the design and development of robot behaviors that expand and generalize our humanoid robot’s capabilities. In this role, you will own behavior design end-to-end, from high-level task logic and system design down to on-robot validation and deployment. You will work at the intersection of behavior planning, motion planning, object perception, and manipulation, developing new autonomy capabilities and pushing the robot into new classes of tasks. We are looking for a hands-on technical leader who can set technical direction and wants to stay close to the robot: writing code, running experiments, debugging logs, working with hardware, and mentoring other engineers by building alongside them.

Key Responsibilities

• Own the design, implementation, and validation of complex humanoid robot behaviors.
• Lead behavior planning and execution design, including task decomposition, control flow, recovery, and failure handling.
• Build new autonomy capabilities that expand what the robot can reliably do in the real world.
• Develop and evaluate manipulation strategies for new tasks, objects, workflows, and customer environments.
• Integrate robot behaviors with motion planning, controls, object perception, estimation, and hardware systems.
• Train, evaluate, and integrate learned policies into hybrid learned/classical execution workflows.
• Integrate new end effectors, tools, sensors, and other hardware capabilities into the behavior stack.
• Debug complex system-level failures using logs, replay, metrics, simulation, and on-robot experimentation.
• Mentor engineers through design reviews, code reviews, debugging, and hands-on technical guidance.
• Help set technical direction and best practices for building robust, composable, reusable, and generalizable robot behaviors.

About You

• B.S., M.S., or Ph.D. in Robotics, Computer Science, or a related engineering field.
• 8+ years of professional experience developing robotics software, autonomy systems, robot behaviors, or related real-world robotic capabilities.
• Demonstrated experience as a tech lead or senior technical owner for complex robotics projects.
• Proficient in Python and C++, and comfortable contributing to large, long-lived codebases.
• Experience with behavior trees, state machines, task planners, hierarchical planning, or similar behavior-planning frameworks.
• Strong system-level understanding of how motion planning, object perception, controls, estimation, and hardware interact on real robots.
• Experience working with complex algorithms and data pipelines, with an ability to optimize for performance, robustness, and scalability.
• Experience collaborating closely with perception, planning, controls, hardware, product, or field teams.
• Strong ownership mindset with a focus on robustness, generalization, and real-world reliability.

Bonus Qualifications

• Experience developing manipulation strategies for complex or unstructured environments.
• Experience with learned robot skills, including imitation learning, reinforcement learning, or hybrid learned/classical execution strategies.
• Experience deploying and supporting autonomous robots in real customer environments.

This is a hybrid role based out of one of our Salem, OR, Pittsburgh, PA, or Fremont, CA 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.

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.

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++.

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++.

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.

Motional’s Pittsburgh office is located in the new Hazelwood Green development, a culmination of the city’s goal of restoring an economic driver to the neighborhood in a thoughtful, inclusive, and sustainable way. With views along the Monongahela river, the Pittsburgh office is in the heart of this new state of the art development.

Mission Summary:

Our Vehicle Platform Components team is seeking a highly motivated Senior Engineer to assume ownership of the development and integration of the autonomous vehicle Electronic Controllers (ECUs) and Data Loggers. This position serves as the primary technical owner for the development, validation, and production readiness of our ECUs. The incumbent will ensure that components adhere to all functional requirements and quality standards, and will support component delivery to satisfy all performance, cost, and timing objectives.

Key Responsibilities:

• Develop and manage component-level technical requirements throughout the program development lifecycle.
• Lead technical collaboration with component suppliers, serving as the internal technical expert for the component.
• Ensure all components comply with specifications for performance KPIs, safety, and reliability.
• Guarantee that components adhere to relevant industry standards and regulatory requirements.
• Collaborate with Design Release Engineers to ensure components meet the overall product's program targets and goals.
• Collaborate with Systems Engineers to confirm that component requirements satisfy system needs and that selected components integrate seamlessly into the overall system architecture.
• Responsible for validating component functionality through hands-on testing conducted at both the bench and vehicle levels.
• Lead issue resolution with suppliers and internal cross-functional teams in a timely and effective manner.
  
  

What We’re Looking For:

• 7+ years of experience in automotive component design, development and integration.
• Bachelor’s or Master’s degree in Electrical Engineering, Electronics Technology or a related field.
• Demonstrated expertise in the design, development, and integration of complex Electronic Control Units (ECUs).
• Proven experience utilizing widely adopted Microcontrollers (MCUs) and Systems-on-Chips (SoCs) within automotive ECU applications.
• Experience with automotive communication protocols, including CAN, CAN-FD, and Automotive Ethernet (10GBASE-T1).
• Experience with high-bandwidth data acquisition systems, including proficiency in PCIe switching and direct storage technologies.
• Familiarity with NVIDIA DRIVE AGX Orin / Thor architecture and developer kits.
• Proficiency in Linux, including the ability to develop scripts (e.g., Python, C++, bash) for testing and validation, and layer 2 networking concepts.
• Experience with lab equipment, including power supplies, oscilloscopes, multimeters, and function generators.
• Proficiency in automotive diagnostic tools, including Vector tools (CANoe, CANape, vFlash) and DoCAN/DoIP.
• Experience with automotive environmental, EMI, and shock/vibration testing.
• Experience in root-cause analysis, with a focus on utilizing AV / ADAS vehicle logs to pinpoint scenarios that negatively affect autonomous system performance.
• Familiarity with automotive components validation documentation and procedures, such as DVP&R, DFMEA and PFMEA.
• Experience with requirement compliance, issue-tracking and task management software platforms such as JIRA, Polarion, Confluence, etc.
• Demonstrated experience collaborating with an automotive Tier-1 supplier on the technical development of electronic components.
• Understanding of vehicle integration, packaging, and functional safety standards (ISO 26262)
  
  

Bonus Points:

• Prior experience in an autonomous vehicle or robotics company.
• Prior experience of ECU design for autonomous vehicles.
  
  

This role is based in our Pittsburgh office and requires in-office days each week.

Mission Summary:

We are seeking a Verification and Validation (V&V) Lead to spearhead efforts for the Perception subsystem of our autonomy stack. Reporting directly to the Head of Perception, this critical role is responsible for the full spectrum of efforts required to close the safety case for the perception subsystem, enabling our driverless commercial launch and subsequent product expansions.

This hybrid role demands broad experience in the self-driving field, with specific competencies in: test engineering, systems and safety, data analytics and reporting, simulation technology, and leveraging AI for workload automation and insight generation. Success in this highly collaborative role also requires exceptional written and verbal communication, leadership, cross-team influence, and a consistent ability to prioritize work and deliver results.

Key Responsibilities:

• Requirements Driven Development / Test Driven Development
• Influence requirements from the perspective of problem understanding, covariate coverage, and testing capabilities/challenges.
• Educate perception engineers and be a champion for V&V best practices.
  
  
• Problem Definition and Performance Analysis
• Collaborate with autonomy and systems engineers to establish problem taxonomies and identify critical performance covariates.
• Identify or define appropriate metrics.
• Create dashboards and automate reporting.
  
  
• Perception V&V Strategy
• Establish coverage targets and identify data/testing gaps.
• Validate the test strategy and provide early feedback to developers.
• Create actionable test plans involving a spectrum of test modalities.
• Create critical tests as-needed, work cross-team to scale test creation to achieve coverage targets.
  
  
• Test Technologies
• Understand the limitations of existing tools and simulation technologies and how they impact our coverage plans.
• Advocate for engineering work to address testing and automation limitations.
• Find creative ways to get the desired signals when a straightforward approach is deemed infeasible.
  
  
• System/Subsystem Performance Boundaries
• Be a bridge between Perception and the “Systems Readiness and Performance” organization. Act as the primary point of contact between the organizations.
• Advocate for, and adopt, common processes, technology, and terminology to ensure subsystem and system level evaluations work seamlessly together.
• Ensure that we understand the system-level impact of a perception failure mode and communicate this effectively across the entire organization.
  
  

Required Qualifications:

• Education and Experience
• Bachelor's degree in a STEM field (preferred).
• Experience leading Verification and Validation (V&V) for a safety-critical product.
• V&V experience specifically with a self-driving vehicle (strongly preferred).
  
  
• Domain Expertise
• General knowledge of the self-driving vehicle software stack.
• Understanding the different types of simulation technologies used in autonomy development.
• Expertise in creating and executing V&V test strategies.
• Expertise in test set creation, test organization (tagging, requirements and deficiency linking), and structured reporting.
• Strong understanding of how performance analysis informs risk assessment, and acts as the cornerstone for “go/no-go” decisions.
• Understanding of basic descriptive statistics.
  
  
• Programming & Tools
• Proficiency in Python for light scripting, database queries, and automation.
• Familiarity with common dashboarding software.
• Familiarity with AI/Agentic coding tools to accelerate workloads.
• Experience using common software tools such as version control (Git) and build automation (Buildkite, Jenkins).
  
  
• Soft Skills
• Excellent written and verbal communication skills.
• Demonstrated ability in collaboration, leadership, innovation, and creativity.
• A track record of reliability, trustworthiness, and delivering impact.
• Ability to frame safety discussions within a grounded risk assessment framework.
  
  

Preferred Qualifications:

• Entrepreneurial experience or other evidence of being self-driven, adaptable, and results-oriented.
• Patents or other evidence of innovation and creativity.
  
  

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.

Mission Summary:

We are seeking a Verification and Validation (V&V) Lead to spearhead efforts for the Perception subsystem of our autonomy stack. Reporting directly to the Head of Perception, this critical role is responsible for the full spectrum of efforts required to close the safety case for the perception subsystem, enabling our driverless commercial launch and subsequent product expansions.

This hybrid role demands broad experience in the self-driving field, with specific competencies in: test engineering, systems and safety, data analytics and reporting, simulation technology, and leveraging AI for workload automation and insight generation. Success in this highly collaborative role also requires exceptional written and verbal communication, leadership, cross-team influence, and a consistent ability to prioritize work and deliver results.

Key Responsibilities:

• Requirements Driven Development / Test Driven Development
• Influence requirements from the perspective of problem understanding, covariate coverage, and testing capabilities/challenges.
• Educate perception engineers and be a champion for V&V best practices.
  
  
• Problem Definition and Performance Analysis
• Collaborate with autonomy and systems engineers to establish problem taxonomies and identify critical performance covariates.
• Identify or define appropriate metrics.
• Create dashboards and automate reporting.
  
  
• Perception V&V Strategy
• Establish coverage targets and identify data/testing gaps.
• Validate the test strategy and provide early feedback to developers.
• Create actionable test plans involving a spectrum of test modalities.
• Create critical tests as-needed, work cross-team to scale test creation to achieve coverage targets.
  
  
• Test Technologies
• Understand the limitations of existing tools and simulation technologies and how they impact our coverage plans.
• Advocate for engineering work to address testing and automation limitations.
• Find creative ways to get the desired signals when a straightforward approach is deemed infeasible.
  
  
• System/Subsystem Performance Boundaries
• Be a bridge between Perception and the “Systems Readiness and Performance” organization. Act as the primary point of contact between the organizations.
• Advocate for, and adopt, common processes, technology, and terminology to ensure subsystem and system level evaluations work seamlessly together.
• Ensure that we understand the system-level impact of a perception failure mode and communicate this effectively across the entire organization.
  
  

Required Qualifications:

• Education and Experience
• Bachelor's degree in a STEM field (preferred).
• Experience leading Verification and Validation (V&V) for a safety-critical product.
• V&V experience specifically with a self-driving vehicle (strongly preferred).
  
  
• Domain Expertise
• General knowledge of the self-driving vehicle software stack.
• Understanding the different types of simulation technologies used in autonomy development.
• Expertise in creating and executing V&V test strategies.
• Expertise in test set creation, test organization (tagging, requirements and deficiency linking), and structured reporting.
• Strong understanding of how performance analysis informs risk assessment, and acts as the cornerstone for “go/no-go” decisions.
• Understanding of basic descriptive statistics.
  
  
• Programming & Tools
• Proficiency in Python for light scripting, database queries, and automation.
• Familiarity with common dashboarding software.
• Familiarity with AI/Agentic coding tools to accelerate workloads.
• Experience using common software tools such as version control (Git) and build automation (Buildkite, Jenkins).
  
  
• Soft Skills
• Excellent written and verbal communication skills.
• Demonstrated ability in collaboration, leadership, innovation, and creativity.
• A track record of reliability, trustworthiness, and delivering impact.
• Ability to frame safety discussions within a grounded risk assessment framework.
  
  

Preferred Qualifications:

• Entrepreneurial experience or other evidence of being self-driven, adaptable, and results-oriented.
• Patents or other evidence of innovation and creativity.
  
  

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.

Mission Summary:

We are seeking a Verification and Validation (V&V) Lead to spearhead efforts for the Perception subsystem of our autonomy stack. Reporting directly to the Head of Perception, this critical role is responsible for the full spectrum of efforts required to close the safety case for the perception subsystem, enabling our driverless commercial launch and subsequent product expansions.

This hybrid role demands broad experience in the self-driving field, with specific competencies in: test engineering, systems and safety, data analytics and reporting, simulation technology, and leveraging AI for workload automation and insight generation. Success in this highly collaborative role also requires exceptional written and verbal communication, leadership, cross-team influence, and a consistent ability to prioritize work and deliver results.

Key Responsibilities:

• Requirements Driven Development / Test Driven Development
• Influence requirements from the perspective of problem understanding, covariate coverage, and testing capabilities/challenges.
• Educate perception engineers and be a champion for V&V best practices.
  
  
• Problem Definition and Performance Analysis
• Collaborate with autonomy and systems engineers to establish problem taxonomies and identify critical performance covariates.
• Identify or define appropriate metrics.
• Create dashboards and automate reporting.
  
  
• Perception V&V Strategy
• Establish coverage targets and identify data/testing gaps.
• Validate the test strategy and provide early feedback to developers.
• Create actionable test plans involving a spectrum of test modalities.
• Create critical tests as-needed, work cross-team to scale test creation to achieve coverage targets.
  
  
• Test Technologies
• Understand the limitations of existing tools and simulation technologies and how they impact our coverage plans.
• Advocate for engineering work to address testing and automation limitations.
• Find creative ways to get the desired signals when a straightforward approach is deemed infeasible.
  
  
• System/Subsystem Performance Boundaries
• Be a bridge between Perception and the “Systems Readiness and Performance” organization. Act as the primary point of contact between the organizations.
• Advocate for, and adopt, common processes, technology, and terminology to ensure subsystem and system level evaluations work seamlessly together.
• Ensure that we understand the system-level impact of a perception failure mode and communicate this effectively across the entire organization.
  
  

Required Qualifications:

• Education and Experience
• Bachelor's degree in a STEM field (preferred).
• Experience leading Verification and Validation (V&V) for a safety-critical product.
• V&V experience specifically with a self-driving vehicle (strongly preferred).
  
  
• Domain Expertise
• General knowledge of the self-driving vehicle software stack.
• Understanding the different types of simulation technologies used in autonomy development.
• Expertise in creating and executing V&V test strategies.
• Expertise in test set creation, test organization (tagging, requirements and deficiency linking), and structured reporting.
• Strong understanding of how performance analysis informs risk assessment, and acts as the cornerstone for “go/no-go” decisions.
• Understanding of basic descriptive statistics.
  
  
• Programming & Tools
• Proficiency in Python for light scripting, database queries, and automation.
• Familiarity with common dashboarding software.
• Familiarity with AI/Agentic coding tools to accelerate workloads.
• Experience using common software tools such as version control (Git) and build automation (Buildkite, Jenkins).
  
  
• Soft Skills
• Excellent written and verbal communication skills.
• Demonstrated ability in collaboration, leadership, innovation, and creativity.
• A track record of reliability, trustworthiness, and delivering impact.
• Ability to frame safety discussions within a grounded risk assessment framework.
  
  

Preferred Qualifications:

• Entrepreneurial experience or other evidence of being self-driven, adaptable, and results-oriented.
• Patents or other evidence of innovation and creativity.
  
  

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.

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 educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun.

Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. 

Read our blog to learn more.

About the role...

This person will own all aspects of product data science, forecasting, and business intelligence for User Growth. They will lead a team of 6 to 10 data scientists spanning staff to junior levels, with a mandate to coach, develop, and grow their careers while also expanding the team by hiring exceptional talent over time. The ideal candidate combines deep technical fluency in causal inference, statistical/ML modeling, and experimentation with genuine leadership ability: the kind of person who raises the bar for everyone around them.

This role reports to the Head of Data Science & Analytics and partners closely with executive leadership in Engineering, Product, Design, and Finance.

🧠  You will...

• Set the analytical vision and roadmap for User Growth data science, ensuring the team's work is tightly aligned with company-level priorities and pillar-level goals.
• Lead a team of 6 to 10 data scientists. Manage their performance, coach their development, and build a culture of intellectual rigor, creative problem-solving, and shipping impact. Grow the team over time by attracting and hiring outstanding talent.
• Own the design, execution, and interpretation of experiments and causal analyses that drive decisions on user acquisition, activation, retention, and reengagement. Establish and defend the methodological standards (A/B testing, guardrail metrics, measurement frameworks) that ensure we learn reliably from every test.
• Develop and maintain user growth forecasting systems. Partner with Finance and Product to deliver credible, timely forecasts of key growth metrics and ensure leadership has the quantitative foundation to set targets and allocate resources.
• Drive business intelligence strategy within Growth, including the metrics layer, self-serve dashboards, and the analytical infrastructure that enables the broader team to operate with data fluency.
• Translate complex analytical findings into clear narratives for senior leadership. Influence strategic decisions through a combination of technical depth and effective communication.
• Collaborate across organizational boundaries with Product Management, Engineering, Design, Marketing, and Finance to embed data science into every phase of product development.
• Stay current on advances in applied economics, statistical methodology, machine learning, and AI, and bring those advances into the team's practice where they create real value.

✅  You have...

• A graduate degree in Economics, Statistics, Computer Science, Data Science, or a related quantitative field. A PhD is a strong signal but not a strict requirement; what matters is demonstrated depth and originality in analytical thinking.
• Deep expertise in causal inference, experimentation, and machine learning models. You are the person others come to when the measurement problem is hard.
• Proven ability to build, lead, and grow a high-performing data science team. You have a track record of hiring well, developing people across levels, and creating an environment where talented scientists do the best work of their careers.
• Strong command of SQL, Python or R, and the data engineering ecosystem. You do not need to write production pipelines, but you need to go deep when the work requires it.
• Exceptional communication skills, both written and verbal, with the ability to distill complex quantitative work into crisp, actionable insights for technical and non-technical audiences alike.
• Experience operating at a high-growth, data-intensive consumer technology company.

⭐  Exceptional candidates will have...

• Experience developing and implementing a long-range analytical vision that shaped product strategy and business outcomes.
• Demonstrated success in building forecasting systems or attribution models at scale.
• A background in economics or a related field that brings structural thinking and causal reasoning to product problems, not just pattern recognition.
• Experience navigating the transition from growth-stage to scaled public company, including the analytical demands that come with investor-grade reporting and forecasting.
• Experience with AI and machine learning as applied to user behavior modeling, notification optimization, or personalization.
• An impressive Duolingo streak.

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.

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.

Motional’s Pittsburgh office is located in the new Hazelwood Green development, a culmination of the city’s goal of restoring an economic driver to the neighborhood in a thoughtful, inclusive, and sustainable way. With views along the Monongahela river, the Pittsburgh office is in the heart of this new state of the art development.

Mission Summary:

The Senior Engineer Team Lead is responsible for the validation of the autonomous vehicle stack with a primary emphasis on the interface between software and physical hardware. This role leads the development and execution of Hardware-in-the-Loop (HIL) testing strategies to ensure that perception, planning, and control algorithms interact safely and reliably with vehicle sensors, actuators, and ECUs.

You will be the technical authority for HIL bench architecture and hardware-software integration, ensuring that the "brain" of the vehicle commands the physical "body" with millisecond precision and fail-safe reliability.

Essential Duties:

• HIL Strategy & Architecture: Lead the design, setup, and maintenance of high-fidelity HIL test benches (e.g., dSPACE, NI, or Speedgoat). Define the hardware-software mapping required to simulate real-world vehicle dynamics.
• Hardware-Software Integration: Own the validation of the Drive-by-Wire (DBW) system, ensuring steering, braking, and acceleration commands meet safety-critical latency and accuracy requirements.
• Fault Injection & Robustness: Design and execute complex hardware fault-injection campaigns (e.g., sensor signal loss, CAN bus flooding, power interrupts) to validate system-level safety monitors.
• Communication Protocol Expert: Direct the testing of automotive communication networks, including CAN, CAN-FD, Automotive Ethernet, and LIN, using tools like Vector CANoe/CANalyzer.
• Multi-Modal Validation: While focusing on hardware, maintain oversight of SIL and closed-course testing to ensure HIL results correlate with virtual and physical track performance.
• Mechatronic Debugging: Lead root-cause analysis for complex electromechanical issues, utilizing oscilloscopes, multimeters, and logic analyzers to debug signal integrity and power distribution.
• Tooling & Automation: Architect Python-based automation frameworks for HIL regression suites, reducing manual bench time and increasing test coverage.
• Safety Compliance: Act as a lead reviewer for ISO 26262 functional safety requirements, specifically focusing on Hardware-Software Interface (HSI) specifications.
  
  

Qualifications:

• Education: Bachelor’s or Master’s degree in Electrical Engineering, Mechatronics, Mechanical Engineering, or Robotics.
• Experience: 5+ years in Systems/Hardware testing, with at least 3 years focused on HIL simulation within the automotive or aerospace industry.
• Technical Mastery:
• Hardware: Expert knowledge of ECUs, sensors (Lidar/Radar/Camera), and mechatronic actuators.
• Simulators: Proven experience configuring real-time simulation environments (e.g., dSPACE ControlDesk, NI VeriStand, or IPG CarMaker).
• Scripting: Expert proficiency in Python for test automation and Matlab/Simulink for plant model integration.
• Domain Expertise:
• Deep understanding of automotive electrical architectures and power management.
• Experience with sensor calibration and synchronization across hardware interfaces.
• Familiarity with SOTIF (ISO 21448) and how hardware limitations impact autonomous functionality.
  
  

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.

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.

While performing the duties of this job, the team member is regularly exposed to outside weather conditions, road conditions, and pedestrian traffic.  The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and airborne particles.  The 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 regarding race, sex, color, national origin, age, disability, veteran status, genetic data, religion, gender identity, sexual orientation, or another legally protected status.  Motional AD LLC is a Drug-free workplace.

This role is based in our Pittsburgh office and requires in-office days each week.

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. 

The Offline Mapping team is responsible for producing high-definition (HD) maps that the Aurora Driver operates on.  In this role, you will develop software for powering the large-scale pipelines and orchestration that will unlock the ability to build high definition 3D maps quickly and reliably for the Aurora Driver. This software is critical to the mission of Aurora, as it enables a reliable and robust expansion of the Aurora Driver’s operational domain.

This position is situated at the confluence of developing large-scale backend systems for orchestration and workflow management. This role involves being able to construct a robust, high-volume backend system to meticulously track the state of numerous pipelines, steps and tasks involved in map generation. Furthermore, the role encompasses the development of pipeline workflows to efficiently process substantial data volumes originating from the various constituents of the mapping algorithms and processes. We are looking for a Software Engineer to join our Map Orchestration Team.

In this role you will:

• Design, implement, and maintain scalable backend systems that can help track state and orchestrate the various steps in the map building pipelines in a robust and tractable way.
• Develop, scale and maintain the services and infrastructure that powers the map building pipelines.
• Collaborate with engineers on the map generation algorithms, localization and operational teams for ensuring we have a clear interface for operational hand-offs, notifications and escalation mechanisms.
• Develop software in Python and C++, using modern best practices
• Troubleshoot and solve complex issues within large-scale data pipelines and orchestration systems

Required Qualifications:

• BS/MS or PhD in Computer Science, Robotics or a related field
• 5+ years of industry experience building software in a production environment
• Proficiency with developing backend systems (gRPC, SQL databases, MapReduce architecture) using Python or C++.
• Experience with software design, in particular in complex systems with many dependencies
• Ability to collaborate effectively in a cross-functional team environment 

Desirable Qualifications:

• Prior experience with mapping systems
• Prior experience with robotics or autonomous vehicles
• Familiarity with large-scale big data pipelines with Map Reduce and pipeline optimization
• Experience with C++ (Ideally C++17 or newer)

The base salary for range for this position is $146,000 - $211,500 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.

#LI-JL261

#Mid-Senior 

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 educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun.

Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. 

Read our blog to learn more.

About the role...

This person will own all aspects of product data science, forecasting, and business intelligence for User Growth. They will lead a team of 6 to 10 data scientists spanning staff to junior levels, with a mandate to coach, develop, and grow their careers while also expanding the team by hiring exceptional talent over time. The ideal candidate combines deep technical fluency in causal inference, statistical/ML modeling, and experimentation with genuine leadership ability: the kind of person who raises the bar for everyone around them.

This role reports to the Head of Data Science & Analytics and partners closely with executive leadership in Engineering, Product, Design, and Finance.

🧠  You will...

• Set the analytical vision and roadmap for User Growth data science, ensuring the team's work is tightly aligned with company-level priorities and pillar-level goals.
• Lead a team of 6 to 10 data scientists. Manage their performance, coach their development, and build a culture of intellectual rigor, creative problem-solving, and shipping impact. Grow the team over time by attracting and hiring outstanding talent.
• Own the design, execution, and interpretation of experiments and causal analyses that drive decisions on user acquisition, activation, retention, and reengagement. Establish and defend the methodological standards (A/B testing, guardrail metrics, measurement frameworks) that ensure we learn reliably from every test.
• Develop and maintain user growth forecasting systems. Partner with Finance and Product to deliver credible, timely forecasts of key growth metrics and ensure leadership has the quantitative foundation to set targets and allocate resources.
• Drive business intelligence strategy within Growth, including the metrics layer, self-serve dashboards, and the analytical infrastructure that enables the broader team to operate with data fluency.
• Translate complex analytical findings into clear narratives for senior leadership. Influence strategic decisions through a combination of technical depth and effective communication.
• Collaborate across organizational boundaries with Product Management, Engineering, Design, Marketing, and Finance to embed data science into every phase of product development.
• Stay current on advances in applied economics, statistical methodology, machine learning, and AI, and bring those advances into the team's practice where they create real value.

✅  You have...

• A graduate degree in Economics, Statistics, Computer Science, Data Science, or a related quantitative field. A PhD is a strong signal but not a strict requirement; what matters is demonstrated depth and originality in analytical thinking.
• Deep expertise in causal inference, experimentation, and machine learning models. You are the person others come to when the measurement problem is hard.
• Proven ability to build, lead, and grow a high-performing data science team. You have a track record of hiring well, developing people across levels, and creating an environment where talented scientists do the best work of their careers.
• Strong command of SQL, Python or R, and the data engineering ecosystem. You do not need to write production pipelines, but you need to go deep when the work requires it.
• Exceptional communication skills, both written and verbal, with the ability to distill complex quantitative work into crisp, actionable insights for technical and non-technical audiences alike.
• Experience operating at a high-growth, data-intensive consumer technology company.

⭐  Exceptional candidates will have...

• Experience developing and implementing a long-range analytical vision that shaped product strategy and business outcomes.
• Demonstrated success in building forecasting systems or attribution models at scale.
• A background in economics or a related field that brings structural thinking and causal reasoning to product problems, not just pattern recognition.
• Experience navigating the transition from growth-stage to scaled public company, including the analytical demands that come with investor-grade reporting and forecasting.
• Experience with AI and machine learning as applied to user behavior modeling, notification optimization, or personalization.
• An impressive Duolingo streak.

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 Data Services Operations team plays a crucial role in delivering data and analysis that supports development of autonomous systems and features essential for a great ADAS driving experience. Within Data Services Operations, the GIS Services organization at Latitude is the operational backbone and spatial intelligence engine driving our system and its complex relationship with the world and our customers. We go beyond traditional High Definition (HD) map production to build, scale, and operationalize a GIS ecosystem capable of supporting a highly accurate and up-to-date ADAS driving network.

Within this organization, the GIS Platform Team is tasked with building, scaling, and maintaining the robust technological infrastructure that empowers all Latitude stakeholders to easily access, visualize, and exploit spatial data. We are looking for a highly skilled GIS Solutions Analyst (Front-End Support) to lead web application development, design intuitive cartographic templates, and build a seamless "one-stop shop" portal critical to reliable spatial data integration, analysis, and self-service capabilities across the Latitude AI enterprise.

What you’ll do: 

• Infrastructure & Database Management: Develop, optimize, and maintain enterprise spatial databases (specifically Postgres/PostGIS), including schema design, indexing strategies, and performance tuning for high-volume mapping data.
• Performant Geoprocessing: Design, build, and deploy custom Python geoprocessing tools and services that support high delivery velocity, complex vehicle mission routing, and self-service web applications across Latitude.
• Esri Enterprise Administration: Extend the functionality of Esri Enterprise GIS systems by implementing custom data feeds, managing server environments, and ensuring high availability.
• System Optimization: Monitor system performance, troubleshoot storage or network bottlenecks, and proactively implement infrastructure optimizations to support the at-scale global operations.
• Integration & Automation: Implement and maintain CI/CD pipelines and source control practices for geospatial tools, services, and infrastructure deployments.
• Cross-Functional Collaboration: Work closely with the Front-End Solutions Analyst, Operations stakeholders, Spatial Data & Analytics Teams, and Map Engineering to align backend geospatial architecture with business, operational, and delivery needs.
• Best Practices: Establish, document, and promote industry best practices for geospatial data engineering, system design, and backend deployment.

What you'll need to succeed:

• Associate or Bachelor’s Degree preferred.
• Proven experience building, deploying, and tuning relational and spatial databases, with deep proficiency in PostgreSQL and PostGIS.
• Exceptional skills in Python and SQL, specifically for backend geospatial data manipulation, automation, and API development (e.g., ArcPy, GeoPandas, SQLAlchemy).
• Hands-on experience deploying, maintaining, and scaling Esri Enterprise Architecture (Portal, Server, Data Store, Image Server).
• Proficiency in GIS software such as ArcGIS, QGIS, or similar.
• Familiarity with CI/CD workflows, version control (Git), and modern software development lifecycle practices.
• Strong analytical and problem-solving skills with a laser focus on system performance, backend reliability, and infrastructure optimization.
• Excellent communication and teamwork abilities

Nice to have:

• Experience with cloud infrastructure platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) for GIS deployments
• Experience designing and scaling raster services, including modern formats (e.g., Cloud Optimized GeoTIFFs [COG], SpatioTemporal Asset Catalogs [STAC]), and enterprise image service delivery (e.g., Esri Image Server) to support high-volume Imagery Based Production (IBP).
• Experience taking nascent, ground-up GIS backend systems and evolving them into mature, highly performant enterprise architectures.
• Experience with Cloud Data Warehouse platforms such as Big Query or Snowflake.
• Familiarity with high-frequency spatial event data management and streaming architectures. Experience utilizing Elastic-stack technologies (Elasticsearch, OpenSearch) or message brokers (e.g., Apache Kafka) to synchronize real-time vehicle fleet telemetry and rapid map updates at scale.
• Familiarity with open-source GIS server technologies (e.g., GeoServer).
• Previous experience working in an autonomous vehicle (AV), ADAS, or high-definition (HD) mapping environment.

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!

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.

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.

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 Data Services Operations team plays a crucial role in delivering data and analysis that supports development of autonomous systems and features essential for a great ADAS driving experience. Within Data Services Operations, the GIS Services organization at Latitude is the operational backbone and spatial intelligence engine driving our system and its complex relationship with the world and our customers. We go beyond traditional High Definition (HD) map production to build, scale, and operationalize a GIS ecosystem capable of supporting a highly accurate and up-to-date ADAS driving network.

Within this organization, the GIS Platform Team is tasked with building, scaling, and maintaining the robust technological infrastructure that empowers all Latitude stakeholders to easily access, visualize, and exploit spatial data. We are looking for a highly skilled GIS Solutions Analyst (Front-End Support) to lead web application development, design intuitive cartographic templates, and build a seamless "one-stop shop" portal critical to reliable spatial data integration, analysis, and self-service capabilities across the Latitude AI enterprise.

What you’ll do: 

• Web Application Development: Design and develop custom GIS web applications and self-service tools (e.g., Route storage and management apps) that empower Latitude engineers and leadership
• Experience Builder & Custom Widgets: Build and extend ArcGIS Experience Builder applications through custom widgets and components. Integrate turnkey/CoTS solutions with custom codebases to optimize concept realization
• UX & Interface Design: Create intuitive, performant, and visually compelling user interfaces for geospatial data exploration and analysis. Translate complex geospatial workflows into accessible, user-friendly application features for non-GIS experts
• Portal Management & UI Standards: Architect and manage a centralized, highly discoverable GIS portal. Establish and maintain reusable UI components, design patterns, and frontend best practices
• API & Backend Integration: Integrate web applications with GIS services, APIs, and backend data pipelines, seamlessly connecting performant geoprocessing services into front-end widgets
• Collaboration: Collaborate with GIS Services peers, Product Managers, Engineers and Executives to deliver seamless end-to-end user experiences
• User Testing & Support: Conduct user testing and incorporate feedback to continuously improve usability and functionality. Create user-friendly technical documentation and act as a champion for GIS adoption across Latitude

What you'll need to succeed:

• Bachelor’s degree with two years of employment experience. In lieu of a Bachelor’s degree, an Associate’s degree with four years of employment experience or a High School Diploma or GED equivalent with six years of employment experience required
• Proven experience using the ArcGIS Maps SDK (JavaScript/TypeScript). Familiarity with alternative web mapping libraries (e.g., Mapbox GL JS, Leaflet) is a strong plus
• Strong proficiency in front-end web development languages (JavaScript, TypeScript, HTML5, CSS3) and modern frameworks (e.g., React, Vue, or Angular)
• Exceptional Python and SQL skills for data preparation, querying, and geoprocessing script integration
• Experience deploying and maintaining Esri WebGIS Enterprise Architecture (custom WebApps and Experiences)
• Proficiency in GIS software such as ArcGIS Pro, QGIS, or similar
• Strong analytical and problem-solving skills, with a keen eye for translating dense spatial data into beautiful, readable visual products
• Excellent communication and teamwork abilities to bridge the gap between highly technical spatial concepts and everyday user needs

Nice to have: 

• Experience building high-level operational dashboards (e.g., ArcGIS Dashboards, Grafana) for live tracking of SLA metrics
• Familiarity with visualizing large-scale 3D spatial data, point clouds, or high-frequency autonomous vehicle (AV) event data in a web browser
• Experience with UI/UX prototyping and wireframing tools (e.g., Figma, Adobe XD)
• Previous experience working in an autonomous vehicle (AV), ADAS, or high-definition (HD) mapping environment
• Experience working in an Agile software development environment using Jira, Git, and CI/CD workflows for front-end deployment

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!

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.

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.

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.