SAME DAY INTERVIEWS: Meet our AI Recruiting Assistant and complete a same-day interview—quick, easy, and on your schedule. Within minutes of applying, you’ll receive a text message to schedule your interview.

At The Oncology Institute of Hope and Innovation, our Medical Assistants play a vital role in transforming the patient experience. You’ll be part of a compassionate care team that helps patients navigate one of the most important journeys of their lives—with dignity, empathy, and hope.

JOB PURPOSE AND SUMMARY:

The Medical Assistant is adaptable, dependable, and eager to advance their clinical careers. As an essential member of the patient care team, the Medical Assistant will provide both administrative and clinical support to ensure the smooth operation of the clinic. The MA should deliver high-quality, compassionate patient care, enhancing clinic efficiency, and contributing to an outstanding patient experience. This position also offers the opportunity to be cross trained in patient registration and medical records support, as needed.

ESSENTIAL DUTIES AND RESPONSBILITIES:

• Live and exemplify TOI core values, providing outstanding customer service and promoting a positive experience for patients and staff members.
• Participate in company initiatives and team activities
• Responsible for documentation in electronic medical record (EMR) system(s)
• Requesting external medical records and preparing patient charts prior to patient appointments
• Performing and documenting patient vital signs
• Completing review of systems and intake documentation
• Preparing patients for physician care
• Administering basic first aid
• Performing venipunctures and non-intravenous injections
• Performing basic laboratory procedures
• Observing and reporting patients’ signs or symptoms
• Able to serve as a chaperone in patient examinations as needed
• Assisting with patient examinations, procedures, or treatments
• Administering certain medications as directed by the physician
• Other duties as assigned

KNOWLEDGE, SKILLS, AND ABILITIES:

• Proficiency in electronic medical record (EMR) systems.
• Excellent interpersonal and communication skills.
• Strong organizational and multitasking abilities.
• Detail-oriented with a high level of accuracy.
• Compassionate and patient-focused attitude.
• Ability to work effectively in a team environment.
• Proficiency in completing blood draws and processing labs

REQUIRED EXPERIENCE, EDUCATION AND/OR TRAINING:

• High school graduate or GED 
• Completion of a Medical Assistant Diploma program from an accredited educational institute. Medical Assistant Certificate preferred, not required.
• 2 years of experience working as a Medical Assistant or related role in an outpatient clinic/medical office setting is preferred.
• BLS and CPR certification preferred.
• Bilingual in Spanish and English preferred

PHYSICAL WORKING REQUIREMENTS:

This position involves prolonged periods of standing and walking, performance of precise tasks like drawing blood and administering medications, and occasionally, lifting of up to 50 pounds. Clear vision and acute hearing are essential for reading charts and monitoring patients. Strong communication skills and attention to detail are critical, especially under stress. Frequent bending, stooping, reaching, and repetitive tasks are also required, along with sensitivity to patient needs and environmental changes.

The physical demands described above are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

AI Recruiter Assistant:

To help make our interview process more efficient and respectful of your time, we use interview technology that records your responses and may use automated tools to support the review of job-related skills. These tools do not make final hiring decisions. All hiring decisions are made by our Talent Acquisition and hiring teams. If you need an accommodation or would prefer to complete this step with a recruiter instead, please contact us at careers@theoncologyinstitute.com

MongoDB Technical Services Engineers use their exceptional problem solving and customer service skills, along with their deep technical experience, to advise customers and to solve their complex MongoDB problems. Technical Service Engineers are experts in the entire MongoDB ecosystem - database server, drivers, cloud and infrastructure. This also includes services such as Atlas (database as a service), or Cloud Manager (which helps customers with automation, backup and monitoring of their MongoDB systems). Our engineers combine their MongoDB expertise with passion, initiative, teamwork and a great sense of humor to achieve exceptional results for our customers.

The Federal Risk and Authorization Management Program (FedRAMP) is a US government-wide program that provides a standardized approach to security assessment, authorization, and continuous monitoring for cloud products and services. Our FedRAMP program requires that anyone who is accessing customer data or metadata inside the Authorization Boundary be a US Citizen on US Soil. In order for us to triage and assign cases, it is necessary to be able to identify available resources at any given time. For this reason the FedRamp team is composed of three separate shifts: first shift, second shift, and third shift. This posting is for Third Shift, in which your working hours would be 8pm-5am PST. There is a desired commitment to this shift though applicants must have the flexibility to work a more typical schedule (12pm-9pm PST) during their ramping period (between 6 to 9 months) before transitioning to Third shift.

Weekend Shift: We are looking to speak to candidates who are interested in working out of our West Coast offices under our flexible or remote working models, Monday to Friday for the first 6-9 months depending on ramping speed. Once considered ramped, they will transition to a permanent Wednesday to Sunday work week to provide weekend coverage alongside other peers. Saturdays and Sundays are considered fully online workdays and not an on-call shift. Due to the 24/7 nature of our support organization, certain events throughout the year will require volunteering for coverage outside one's normal work days or work hours (i.e. regional offsites, regional holidays, etc). These are typically announced weeks in advance with a sign-up system that considers equitability.

Cool things you’ll do

MongoDB is on a mission to change the way people think about databases. Along the way, our customers encounter questions and issues about how our approach to databases works for their use case. In Technical Services, it's our job to help these people.

You'll be working alongside our largest customers, solving their complex issues - resolving questions on architecture, performance, recovery, security, and everything in between. You'll be an expert resource on standard methodologies in running MongoDB at scale, whatever that scale may be. You'll be an advocate for customers' needs - working with our product management and development teams on their behalf. And you'll contribute to internal projects, including software development of support tools for performance, benchmarking, and diagnostics. In addition, you will also be responsible for mentoring and ramping new team members and taking initiatives in building knowledge of new product lines within the MongoDB ecosystem.

What you need

We consider all candidates with an eye for those who are self taught, insatiably curious, and multi-faceted.

It’s important for candidates to check off these boxes:

• Systems engineering experience, including Linux performance, memory management, I/O tuning, configuration, security, networking, clusters, and troubleshooting
• Should have a good understanding of Networking concepts and protocols (DNS, TCP/IP, SSL/TLS, etc)
• Storage engineering experience, including NAS, SAN, SSD, multi-pathing, and caching
• Experience building and maintaining complex mission-critical production database systems
• Be able to read code, and basic coding/scripting ability in one or more languages: Java, Python, Ruby, C, C++, C#, Javascript, node.js, Go, etc
• Broad awareness of customer workloads and use cases, including performance, availability, and scalability
• Experience analyzing issues holistically, from the application tier through the database, down to the storage
• Genuine desire to help people
• Ability to think on your feet, remain calm under pressure, and solve problems in real-time
• Desire and ability to rapidly learn a wide variety of new technical skills
• Collaboration: willingness and ability to get help from team members when required, and the good judgment to know when to seek help

Bonus Points

• Experience managing large scale databases (e.g. RDBMS, NoSQL)
• Experience with authentication systems such as LDAP, Kerberos, AD
• Experience using or managing MongoDB
• Experience using distributed version control systems, and in particular git
• Experience using any cloud services stack such as AWS, Azure or GCP
• Experience with Kubernetes or other orchestration systems using vendor-specific Enterprise operators.

Success Measures

• In 3 months, you’ll have gained a deep understanding of MongoDB and its ecosystem. You will complete New Hire Training
• In 6 months, you will be comfortable working frontline with our customers. You will also complete the MongoDB Certified DBA Associate exam
• In 12 months, you will be a technical specialist within MongoDB and will be helping your peer engineers in advance diagnostics. Also, you will be encouraged to handle technical escalations independently

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: 1273373874

MongoDB is building a world-class team in North America to create tooling that helps customers modernize their applications and migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise legacy workloads and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model. The tools developed by the Code Generation and Data Migration team are critical in this journey, helping customers with schema modeling, code generation, initial data loads, and continuous data synchronization.

We're looking for a Senior Engineer with a strong background in computer science fundamentals, systems design, experience in the Java ecosystem, streaming systems, and data-intensive applications to join our engineering team. In this role, you will be instrumental in designing, building, and optimizing the underlying data structures, algorithms, and database interactions that power our generative AI platform, code generation and migration tools. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation and  building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React.You will work on critical components that ensure the scalability, efficiency, and reliability of our services, collaborating closely with AI researchers, product management and other engineers to design and implement cutting-edge products that solve complex customer challenges.

This role will be based out of North America in the PST and MST zones only.

The ideal candidate for this role will have

• 2+ years of  engineering experience in backend systems, distributed systems, or core platform development
• Experience in one or several of Java, Rust, C/C++, and/or Python, with a strong understanding of systems-level programming, memory management, and performance tuning
• Experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
• Experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc)
• Exposure to client-side technologies such as JavaScript and React is a plus
• Good understanding of algorithms, data structures and their time and space complexity
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills

Nice to Have

• Familiarity with cloud-native distributed systems (e.g., Kubernetes)
• Experience with NoSQL databases and understanding of their trade-offs is great, but not required. We'll teach you NoSQL
• Contributions to relevant open-source projects

Position Expectations

• Contribute high-quality, well-tested backend code to the data migration engine and core components of our generative AI orchestration platform
• Collaborate effectively with Product Management, AI researchers and machine learning engineers and designers to build and deliver on the product roadmap
• Work to develop robust and efficient backend services that orchestrate AI functionalities
• Identify and address performance bottlenecks and architectural challenges in our systems, particularly within data flow and orchestration
• Participate actively in code reviews to enforce best practices and patterns
• Help troubleshoot and resolve complex technical issues in our distributed systems
• Give and solicit feedback on technical design documents and pull requests
• Perform tasks related to process such as CI/CD, quality, testing, etc 

Success Measures

Within the first three months, you will have:

• Familiarize yourself with the MongoDB database and aggregation language
• Familiarize yourself with the backend tech stack including Java, Spring Boot, and Kafka
• Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
• Started collaborating with your peers and contributed to code reviews

Within six months, you will have:

• Familiarised yourself with the rest of our the application modernization tool stack
• Delivered at least one large scale feature that spans the entire tech stack
• Reviewed and contributed to scope and technical design documents

Within 12 months, you will have:

• Become a key contributor to our backend stack, capable of taking on complex features independently
• Helped recruit and interview new members of the team
• Collaborated effectively with other teams at MongoDB on cross-functional projects

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: 425547

We are looking for an AI Developer Advocate to join our Developer Relations team. In this role, you will help promote MongoDB's artificial intelligence (AI) capabilities. As more developers choose MongoDB as their data platform, your responsibilities will include directly engaging with the community, building strategic partnerships with AI companies, creating inspiring resources and content, and collaborating with a global team of skilled Developer Advocates.

You will empower developers—from startups to Fortune 500 companies—to integrate advanced data and AI capabilities into their applications and solutions. If you are passionate about helping builders explore the possibilities of AI and enjoy cultivating a vibrant developer ecosystem, we invite you to join us in shaping the future of development on MongoDB.

Our Developer Relations teams are distributed across the globe, with most members working remotely. This position will be based in the San Francisco Bay Area. To see what our team is doing, check out our content on YouTube, Dev, and Medium.

We are looking to speak to candidates who are based in San Francisco for our hybrid working model.

Candidate Profile

We are excited to welcome an influential individual to our team who is already a well-established voice in AI. From your experience over the past few years, we’ll see you in videos and at events sharing technical insights, leading discussions, and inspiring others to effectively use AI and ML capabilities. You’ve also created articles, tutorials, and hands-on workshops to teach builders best practices and equip them to leverage AI in their apps. 

At the foundation of your passion and expertise is a love to equip others. Our ideal candidate will have at least 3 years of experience in a builder role, such as a data scientist or developer, where they crafted AI solutions in production. They will have 8+ total years of experience through any combination of builder role (such as data scientist or developer), educator role (such as developer advocate or developer educator), or customer-facing role (such as solution architect). 

Our ideal candidate will also have connections with AI companies and communities in the San Francisco Bay Area. You will work with key AI partners to create content and partner on virtual and in-person events that showcase how MongoDB is part of the larger AI ecosystem. 

You are an effective teacher who can explain complex topics in a simple and easy-to-understand way. Along with an appreciation for the key AI-related features of our platform, such as vector search and Voyage AI, you will also develop a strong understanding of MongoDB's core capabilities, data modeling, and emerging trends in our industry.

Though the expertise you bring will be unique, our team is built to work together to share knowledge and help each other grow. You will work with others at all levels, supporting peer reviews of code, demos, sessions, and other content. You should have a genuine passion for equipping other developers to be more productive and successful. 

Position Expectations

Below are examples of the types of work you will be doing. Your mix of activities will vary week to week based on priorities and event schedules. 

• Build on a solid foundation of ML/AI expertise, adding to your database experience to become a MongoDB expert
• Expand your knowledge of embedding models and rerankers to become an expert in Voyage AI
• Collaborate with our events and field teams to engage developers and founders in the Bay Area at meetups, events, hackathons, and startup houses
• Speak at strategic AI events and lead workshops at high-profile conferences such as AWS re:Invent 
• Create and update tutorials, articles, videos, and workshops along with their associated workflows or workflows or code examples
• Provide feedback to our Product and Technology team, serving as the voice of the developer as new products are scoped and planned
• Regularly interface with Partner Managers to identify opportunities to work with key AI partners to create content and partner on virtual and in-person events that showcase how MongoDB is part of the larger AI ecosystem 
• Partner with our community team to support engagement with third-party and first-party user groups (MUGs), Champions, and influencer programs across the region
• Lead one-hour sessions (both virtual and in-person) with customer teams to evaluate their AI use cases and provide recommendations on how they can better utilize MongoDB

Requirements

• Expertise in building AI or ML solutions and comfortable building agentic solutions
• Advanced familiarity with several AI coding and workflow tools, and how platforms are recommended through content, preference, and integration
• Expertise with one or more complementary programming languages (Python or JavaScript preferred)
• Knowledgeable and connected in the Bay Area AI ecosystem
• Prolific author of content (tutorials, how-to guides, readmes) and associated code to help developers learn
• Established portfolio or active contributor to AI examples and Agent Skills in GitHub
• Engaging presenter at in-person events, videos, webinars, or live streams 
• Up to 25% of time traveling to Bay Area engagements (like meetups, events, hackathons, and startup houses)
• Up to 10% of time traveling outside of the Bay Area for industry events 

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: 1273376493

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.

Seeking Talent Near: Minneapolis, MN; Saint Paul, MN; Fargo, ND; Sioux Falls, SD; Omaha, NE; Billings, MT; Boise, ID

Position Summary

Primary Responsibilities

• Build and sustain strong relationships with national and regional medical and scientific thought leaders, patient advocacy groups, and centers of excellence aligned to Acadia’s Medical Affairs strategy
• Engage key opinion leaders in meaningful scientific exchange, research discussions, and education on current and emerging therapies
• Support clinical research activities, including trial site engagement and cultivation and facilitation of investigator-initiated research proposals
• Develop and maintain deep scientific, clinical, and therapeutic expertise across Acadia’s portfolio
• Collaborate cross-functionally, in compliance with all guidelines, with Regional Business Leaders and Account Business Managers to support aligned field execution
• Provide strategic field insights that inform Medical Affairs and broader organizational decision-making
• Identify disease state insights and compound attributes that contribute to product differentiation and scientific value
• Deliver high-quality scientific, clinical, and educational support to internal stakeholders and external healthcare partners
• Represent Acadia at medical meetings, congresses, educational programs, and support Commercial activities including speaker and sales training
• Perform other duties as assigned

Education/Experience/Skills

• Advanced scientific degree (MD, PharmD, or PhD) in a relevant discipline
• Minimum of 5 years of experience in the pharmaceutical or biotechnology industry, with hands-on scientific or medical affairs responsibilities
• Prior Medical Science Liaison experience within a field-based medical affairs role
• Demonstrated scientific and clinical expertise, with experience in rare diseases, epilepsy, neurology, or psychiatry
• Strong working knowledge of regulatory, compliance, and clinical considerations impacting pharmaceutical and managed care environments
• Proven ability to communicate complex scientific and drug information to healthcare professionals and internal stakeholders
• High proficiency in Microsoft Office applications, including Outlook, Word, Excel, and PowerPoint
• Ability to travel up to 75% of the time, with residence within the assigned territory

Position levels:

• Medical Science Liaison: $139,600 - $174,500 requires an advanced degree (MD, PharmD, PhD) in a scientific discipline, 5 years of progressively responsible experience in the medical, clinical, and/or pharmaceutical field
• Sr. Medical Science Liaison: $176,000 - $220,000 requires an advanced degree (MD, PharmD, PhD) in a scientific discipline, 7 years of progressively responsible experience in the medical, clinical, and/or pharmaceutical field, including 3 years as an MS

Physical Requirements

This role involves regular standing, walking, sitting, and the use of hands for handling or operating equipment. The employee may also need to reach, climb, balance, stoop, kneel, crouch, and maintain visual, verbal, and auditory communication in a standard office environment and while working independently from remote locations. The employee must occasionally lift and/or move up to 20 pounds.  This position requires the ability to travel independently overnight and/or work after hours as required by travel schedules or business needs.

#LI-REMOTE

#LI-CS1

Mission Statement: The Associate Fleet Operations Specialist supports the business to ensure the fleet is ready to be deployed and safe to operate on public roads. Reporting to the Fleet Management Supervisor, the Associate Fleet Operations Specialist communicates between Autonomous Vehicle (AV) Testing Operations, Test Engineering, and Engineering teams for daily utilization of AV Fleet resources. Key responsibilities include facilitating fleet readiness activities such as ensuring repairs, maintenance, and updates are conducted safely and promptly, along with keeping cross-functional stakeholders informed. This position requires strong communication skills, attention to detail, and a commitment to maintaining high safety standards and operational efficiency at all times.

What You’ll Be Doing:

• Input and track daily vehicle scheduling/rotation/planning in support of all fleet operations
• Perform maintenance work order creation, inspection documentation and logging
• Utilize Fleetio, Jira, Slack and various G Suite applications to support fleet operations 
• Review vehicle statuses, flag out of service units, assign and/or escalate work orders
• Multi-site logistics coordination scheduling vehicle pickups/drop-offs for service and repair
• Multi-site support of R&D/Test operations via pack/ship of hardware or special project equipment
• Multi-site inventory management duties such as stockroom/parts organization and supply orders
• Author, update, and maintain documentation/databases related to fleet readiness and repair
• Facilitate and create SOP’s, checklists, and internal service bulletins
• Document technical notes, flag real-time AV events, and support triage/resolution processes
• Incident response actions to include documentation, manual vehicle retrieval, and team coord/handoff (Legal, Safety, Calibration, etc.)
• Maintain in-vehicle camera monitoring systems via functionality verification and troubleshooting 
• Work with vendors to draft purchase requisitions for parts, repairs, towing, logistics, etc.
• Provide field support as needed for AV recovery
• Flexibility to work days, nights, and/or weekends
• Ability to pass a DOT physical 

What We’re Looking For:

• 2+ years of experience in the automotive industry or similar fleet logistics
• Ability to properly follow specific instructions and learn tasks quickly
• Ability to think logically/demonstrated problem-solving skills
• Strong and proven organizational/time management skills
• Strong communication and interpersonal skills
• Detailed-oriented mindset focused on safety
• Strong focus on continuous improvement 
• High degree of self-motivation
• Flexible and creative thinking
• Valid driver's license required

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 frequently walk for long periods; walk; crouch; 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 is a temperature-controlled garage environment and uses various hand tools, power tools, diagnostic equipment, a manual pallet jack, binders, bungees, and straps, a computer, a telephone, and other office equipment as needed to perform duties.  The noise level in the work environment is typical of that of a garage. The employee may encounter frequent interruptions throughout the workday. While performing the duties of this job, the employee is occasionally exposed to various outside weather conditions, road conditions, and pedestrian traffic. The employee is regularly exposed to mechanical and computer parts. The employee is occasionally exposed to fumes and/or airborne particles. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Mission Summary:

As a Staff Engineer within the Platform Engineering team, you will be a hands-on technical leader driving the evolution of Motional's global cloud and hybrid infrastructure. Operating as a senior individual contributor, you'll tackle our hardest platform problems directly — designing systems, creating code, and setting technical direction for initiatives that span multiple teams. Your work will help transform our R&D environment into a hardened, cost-efficient, and scalable commercial backbone, and ensure our internal platforms deliver the developer velocity required for rapid AV deployment.

What you'll be doing:

• Design and build major components of our cloud architecture — including networking, storage, compute abstraction layers. You'll own the technical design end-to-end and create code where it matters most
• Drive technical evolution of our Kubernetes-based developer platform. Identify the highest-leverage improvements to scalability, cost attribution, access control, and developer ergonomics — then design and implement them to reduce configuration complexity and accelerate engineering velocity
• Raise the reliability bar across Platform Engineering. Define and implement standards for SLIs, SLOs, observability, and failover, and partner with peer teams to roll them out across platform-layer services
• Drive FinOps practices — cost visibility, attribution, accountability as well as optimization recommendations
• Design and ship AI-native developer experiences by integrating LLM-powered tooling into CI, build systems, monitoring platforms, and local development workflows to remove friction and boost engineering throughput
  
  

What we're looking for:

• Bachelor's or Master's in Computer Science, Engineering, or a related field (or equivalent practical experience)
• 9 years in Software or Infrastructure Engineering, with significant experience in a senior IC capacity
• Deep, expert-level knowledge of Kubernetes internals and ecosystem (Operators (Crossplane, ArgoWorkflow/Airflow, KubeRay), Kubecost/OpenCost, Service Mesh, GitOps and other CNCF projects)
• Proven track record of designing or migrating complex workloads between on-prem data centers and major cloud providers (AWS, GCP, other)
• Experience with Infrastructure-as-Code (Terraform/CloudFormation, Terraform Cloud/Spacelift/Atlantis) and advanced observability tooling (OpenTelemetry, Prometheus/VictoriaMetrics, Grafana, Datadog)
• Expert in architecting AI-driven operations, leveraging LLMs and agentic workflows to automate incident response, predictive scaling, and intelligent system observability
• Demonstrated ability to influence technical roadmaps across an entire engineering organization and mentor senior technical staff
  
  

Bonus points (not required):

• Proven expertise in CI/CD orchestration, build systems (Bazel, RBE), frameworks
• Prior experience with large-scale machine learning training pipelines
• Experience leading technical projects in a globally distributed team
• Open-source contributions to Kubernetes, observability, or infrastructure tooling ecosystems

Role Summary

We’re looking for a Senior People Operations Generalist to support the Head of People & Talent in building Amperesand’s People function from the ground up. This is an exciting opportunity for someone who enjoys creating structure, improving processes, and supporting employees through meaningful, hands-on work.  

You’ll own key programs - from onboarding to offboarding, leaves, compliance, HR systems, and benefits - while driving process improvements that help Amperesand scale efficiently and thoughtfully. 

Responsibilities 

Employee Support & Experience 

• Lead onboarding for new hires and improve our onboarding process - helping employees feel welcomed, informed, and connected from day one.  

• Support offboarding and gather insights that help us continuously improve. 

• Respond to employee questions with clarity, care, and follow-through. 

• Partner Across Teams: Collaborate closely with Finance, IT, and Talent to ensure accurate data flow and smooth handoffs for all employee changes. 

HR Operations 

• Own and maintain accurate employee records and HR systems. 

• Manage benefits and leave programs.  

• Prepare payroll-related information and maintain data accuracy. 

• Ensure we meet compliance requirements as we scale. 

• Assist in building handbooks, policies, and internal documentation current and easy to understand. 

Programs & Process Building 

• Support the development of performance reviews, goal setting, and employee feedback efforts. 

• Help roll out engagement and development programs that strengthen our growing team. 

• Spot opportunities to simplify or improve HR processes—and build solutions that scale. 

• Contribute to a People function that is reliable, approachable, and easy to work with. 

Qualifications 

• 3-5 years of HR experience, ideally in a fast-growing start-up environment. 

• Working knowledge of US employment laws and standard HR practices. 

• Strong communication skills, high integrity, and solid judgment. 

• A builder’s mindset - comfortable with ambiguity and excited to create new systems.  

• Experience with HRIS tools and managing sensitive employee data. 

• A finger on the pulse of startup culture, competitive benefits, and events.  

Preferred Qualifications

• Experience managing immigration cases with outside counsel  

• Designing performance management programs 

• Compensation Benchmarking  

• ESOP management and delivery  

Please note: This role requires working on-site 5 days a week. We do not offer hybrid or remote options. 

Role Summary

This role requires a blend of deep technical knowledge, regulatory acumen, and strategic thinking to ensure that all firmware and software for Solid-State Transformers (SST) adhere to the highest standards of safety, reliability, and compliance. 

Responsibilities: 

• Develop and oversee compliance implementation for SST firmware and software to meet or exceed industry standards and regulations 

• Continuously perform risk assessments to identify potential compliance issues in firmware development processes and implementation 

• Design, develop, and execute compliance testing protocols, ensuring software meets all regulatory requirements 

• Maintain comprehensive documentation for compliance activities, including test results, compliance reports, and change management logs 

• Assess and audit complete development toolchain for compliance risks and vulnerabilities 

• Work with product and compliance teams to maintain clear communication with regulatory agencies or auditors 

• Guide developers to follow a compliance by design philosophy for relevant software 

• Work with engineers to solve complex problems and ensure project milestones are met 

• Stay updated with new technologies and methodologies to enhance compliance efficiency and effectiveness 

Qualifications: 

• Degree in Electrical Engineering, Computer Engineering, Software Engineering, Computer Science, Mechatronics, etc. with 5+years of professional experience or combined equivalent experience with evidence of exceptional ability 

• 3+years of experience with software compliance, regulatory agencies, and preferably functional safety or electrical standards (IEC 62443, UL 1998, UL 5500, IEC 60730, IEC 62351, etc.) 

• Proficiency in C or C++ for embedded systems 

• Experience with software and firmware testing frameworks 

• Excellent written and verbal communications in English, especially where compliance documentation is concerned 

• Excellent analytical skills to conduct risk assessments and safety analysis (FMEA, HAZOP, etc.) 

Role Summary: 

The Director of Program Management will lead and oversee complex, multi-regional programs, ensuring successful product development and deployment from concept through execution. This role drives strategic alignment across cross-functional teams, including engineering, product development, supply chain, and manufacturing, while fostering a high-performing, collaborative team culture. The Director will provide executive-level visibility into program status, risks, and opportunities, and will own processes, budgets, and schedules to ensure delivery of high-quality results on time and within cost. 

Responsibilities: 

• Oversee the planning, execution, and tracking of complex programs, ensuring milestones, scope, budget, and quality commitments are consistently met. 

•  Lead and drive cross-functional collaboration across global teams in Singapore and the U.S., aligning program objectives with organizational strategy. 

• Manage, mentor, and build a high-performing program management team, fostering professional growth, accountability, and collaboration. 

• Drive program financials, controlling budgets and facilitating cost optimization while balancing scope, quality, and timeline objectives. 

• Provide executive-level reporting and communications, delivering transparency to leadership, partners, and stakeholders, and facilitating informed decision-making. 

• Work with our Supply Chain team to ensure material readiness is aligned with engineering goals to mitigate supply chain, material, and quality risks in our product development and execution 

• Set strategic direction for project engineers and cross-functional teams, aligning priorities, requirements, risk mitigation, and program schedules with business goals. 

• Define program scope, roadmap, and budgets in collaboration with product management and engineering leadership to drive successful product outcomes. 

• Collaborate with Supply Chain in leading cost reduction and operational efficiency initiatives across programs, ensuring product costs, inventory, and financial targets are optimized. 

• Develop, refine, and implement program management frameworks, processes, and best practices to enable consistent, scalable, and efficient program execution. 

• Identify, assess, and proactively manage program risks, establishing mitigation plans, evaluating trade-offs, and implementing corrective actions to maximize risk mitigation. 

• Champion a culture of continuous improvement, collaboration, and professional development within the program management organization. 

Qualifications:  

• Bachelor's degree in engineering or a related field; advanced degree preferred (master's in engineering). 

• 10+ years of experience in program management or operations leadership, preferably in global, multi-site environments. 

• Proven track record of managing complex, cross-functional programs from concept to execution. 

• Strong leadership, team-building, and mentoring skills, with experience managing high-performing teams. 

• Exceptionally strong communication skills that demonstrate an ability to communicate visually verbally and in writing to both technical and non-technical team members. 

• Experience working in an engineering organization focused on electrical systems, power electronics, or other similar products in a manufacturing / production environment. 

• Thrive under pressure while managing competing priorities, challenges, and program risks, quickly adapting to changes to ensure successful program execution. 

• Willingness and ability to travel up to 20% including internationally 

Responsibilities:

• Assist in the preparation of monthly, quarterly, and annual financial statements in accordance with IFRS/GAAP
• Manage the month-end and year-end close processes
• Manage Accounts Payable
• Assist in accounting responsibilities around procurement
• Manage Fixed Asset accounting
• Administer the month-end close application
• Accounting administration of financial system
• Prepare balance sheet reconciliations for complex accounts
• Assist in building and implementing accounting controls
• Assist in creating accounting policies and procedures

Technical Skills:

• IFRS/GAAP (International Financial Reporting Standards)
• Cost Accounting (including standard costing, variance analysis, and COGS tracking)
• Inventory Accounting (raw materials, WIP, finished goods)
• ERP Systems (e.g., NetSuite, SAP, Oracle, Microsoft Dynamics)
• Advanced Excel (pivot tables, VLOOKUP, financial modeling, macros)
• Sarbanes/Oxley and internal controls framework

Bonus Qualifications:

• Exposure to lean manufacturing, supply chain finance, or production planning systems
• Energy Sector Knowledge: Experience working on projects related to smart grids, renewable energy, or energy management platforms is a plus
• CPA (Active or Inactive)

Please note: This role requires working on-site 5 days a week. We do not offer hybrid or remote options.

The application window will be open until at least April 24, 2026 . This opportunity will remain online based on business needs which may be before or after the specified date.

This role is not eligible for immigration sponsorship.

This role is part of the Growth department on the Digital team. You'll collaborate with ad operations and growth specialists to deliver web, app, and media analytics to key stakeholders. The Growth team works across departments—including sales, marketing, brand, and product—to identify new opportunities and test strategies to drive revenue and improve the customer experience with GFiber’s products.

Role Description

As the Marketing Web Developer you will be the technical lead responsible for managing GFiber’s websites and integration points, supporting digital marketing and sales efforts. You’ll lead, organize, and manage program activities that drive business outcomes while developing systems to proactively identify improvements and drive future optimizations including change management and performance metrics. You'll oversee content management systems, A/B testing tools, and tracking implementations, ensuring smooth operations and optimal performance. Collaboration with cross-functional teams will be key in driving our analytics, marketing, and growth initiatives.

In this role, you'll:

• Engineer and maintain the GFiber web architecture, writing clean, scalable code to integrate marketing technology stacks and third-party services. 
• Implement and manage tools for content management, knowledge management, A/B testing, tracking, and services integration.
• Create technical design documents for new website features and integrations.
• Manage user access, roles, and responsibilities for web tools like Contentful, Optimizely, and KMS Lighthouse.
• Support change requests, issue management, and day-to-day updates related to website content and services, and also align with stakeholders on decisions and changing circumstances.

At a minimum we'd like you to have:

• Bachelor's degree in Digital Marketing, Computer Science, or related fields—or equivalent practical experience.
• 4 years' experience building high-traffic marketing websites and scalable web systems using React, Typescript and JavaScript.
• Experience with A/B testing tools (e.g. Optimizely, Optimize, Test and Target) and experiment configuration.
• Experience implementing and leveraging analytics, tracking and data warehouse platforms (e.g., Google Analytics 4, Google Tag Manager, BigQuery).

It's preferred if you have:

• Experience with headless Content Management Systems (e.g. Contentful, Sanity).
• Experience with ad-tech integrations and custom tracking pipelines for Google Ads and Campaign Manager, ensuring accurate reporting and data attribution for high-traffic marketing sites via API. 
• Experience with AI tools coding tools and LLM technologiesExperience using written and verbal communication to convey technical requirements to both technical and non-technical stakeholders.
• Experience with Python and back-end integrations to support large-scale consumer traffic.

The US base salary range for this full-time position is between $132,800 - $175,100 + bonus + cash award + benefits. As pay varies by location, your recruiter will share more about the specific salary range for your targeted location during the hiring process.

#LI-DNI

Internship Duration: May 2026 – August 2026 

Role Summary

Amperesand is working to develop, build, test, and validate a ground-up redesigned next-generation solid state transformer (SST) and the power stage modules (PSMs) that convert power from medium-voltage AC to customer-facing DC output.  This internship will include building and testing of prototype units, root cause analysis of issues found, and design and changes of parts to fix or improve.   

Responsibilities: 

• UtilizeCAD software to create detailed mechanical designs.  3DX/Catia experience preferred but not required. 
• Model and design complex electro-mechanical parts, including plastics, sheet metal, insulators, magnetic components, and high-voltage connectors.
• Perform mechanical design analysisby means offirst principal calculation or simulation with commercial software, including structural FEA, thermal CFD, vibration, and fatigue assessments. 
• Solve packaging challenges involving electrical isolation, sealing, thermal dissipation, EMI/EMC shielding, and mechanical shock/vibration.
•  Perform prototype development, fabrication, assembly, and mechanical testing of new designs.
•  Support root-cause analysis of design issues in pilot or production builds and lead iterative improvements. 
•  Define and execute validation test plans including structural, thermal, and environmental testing. 
• 2D drawings with GD&T for production and inspection.
• Create engineering documentation, tolerance stacks, BOMs, and release packages through PLM systems.
•  Collaborate cross-functionally with electrical, thermal, firmware and controls, manufacturing, test, and industrial design teams.
•  Work closely with suppliers to optimize DFM, DFA, and tooling strategies for high-volume production. 

Qualifications: 

• Final year undergraduate standing or graduate study inMechanical Engineering or a closely-related field. 
• Expertise in CAD modeling using 3D EXPERIENCE (CATIA V6/V5), SolidWorks, NX, or Creo. 
•  Deep understanding of mechanical fundamentals—statics, dynamics, heat transfer, and materials.
• Working knowledge of materials: metals (aluminum, steel), plastics, ceramics, gaskets, potting compounds.
• Comfortable with root-cause analysis, failure mode resolution, and mechanical reliability testing.
• Passion for product innovation, sustainability, and enabling electrification through engineering excellence.

Bonus Qualifications: 

• Strong background in structural, thermal, and vibration analysis using commercial software,e.g.Ansys 
• Proficiency in GD&T, tolerance analysis, and DFM/DFA principles. 
• Familiarity with PCBAs, connectors, and mechanical integration of high-density electronic assemblies.
• Experience with high-volume manufacturing processes such as injection molding, die casting, extrusion, and sheet metal forming.
• Experience with medium- to high-voltage systems and insulation coordination (creepage, clearance, potting, sealing).
• Experience working in Agile development environments, including task management and sprint planning using Scrum methodologies and tools like Jira.

Please note: This role requires working on-site 5 days a week. We do not offer hybrid or remote options. 

Compensation: $30 - $45/hour depending on location and level of experience 

Role Summary 

As our Production Operations Supervisor, you will lead the day-to-day execution of prototype-to-production builds, directly supervising the production associate team on the floor. This is a highly hands-on role—you’ll assign work, unblock issues in real time, ensure production schedules and quality standards are met, and track and approve timecards and labor hours. You’ll coordinate and deliver on-the-job training as needed, helping associates develop the skills required to build complex solid-state power hardware safely, consistently, and efficiently. Your leadership will directly influence product readiness, customer confidence, and the pace at which our solid-state transformer technology moves from development into real-world deployment. 

Responsibilities: 

• Directly supervise production associates supporting prototype-to-production builds, managing daily work assignments, floor coverage, and execution against production schedules. 

• Own day-to-day floor operations, ensuring safety, quality, and productivity standards are met while escalating issues and risks in real time. 

• Track, review, and approve timecards, labor hours, and overtime, supporting labor efficiency and production planning. 

• Ensure quality standards are upheld at every building step, supporting a no-defects-forward mindset and partnering with engineering on issue resolution and corrective actions. 

• Coordinate, deliver, and document on-the-job training for new and existing production associates, ensuring readiness for complex manufacturing and power electronics assembly. 

• Support the development, maintain, and enforce standardized work instructions and SOPs in collaboration with engineering and operations. 

• Monitor daily production metrics and drive continuous improvement in throughput, yield, safety, and cost. 

• Develop and maintain production reports, dashboards, and visual management boards that provide clear visibility to leadership on progress toward production goals, risks, and corrective actions. 

• Create a positive, accountable shop-floor culture through coaching, performance feedback, and corrective action, including addressing performance concerns and administering discipline when necessary. 

• Ensure compliance with EHS requirements, proactively identifying and correcting hazards and reinforcing safe work practices. 

Qualifications: 

• 4+ years of experience in manufacturing or production operations, with at least 2 years in a hands-on supervisory or lead role supporting production associates. 

• Proven experience leading day-to-day floor operations in a fast-paced manufacturing environment, including work assignment and schedule execution. 

• Experience managing labor and timekeeping, including tracking and approving timecards, overtime, and shift coverage. 

• Practical experience applying quality requirements, standardized processes, and structured problem-solving on production floor. 

• Experience coordinating and delivering on-the-job training and coaching production teams through changing processes. 

• Strong communication skills, with the ability to provide clear direction, real-time feedback, and corrective action when required. 

• Ability to track production performance and maintain reports, dashboards, or visual management boards to communicate progress toward production goals. 

• Commitment to safety and EHS best practices in a manufacturing environment. 

• High school diploma or equivalent required. 

Bonus Qualifications: 

• Experience in manufacturing environments such as power electronics, energy systems, automotive, or industrial equipment. 

• Prior involvement in pilot production or new product introduction (NPI) builds. 

• Experience partnering closely with engineering teams to improve manufacturability and production readiness. 

• Experience developing or maintaining standardized work instructions, SOPs, or training documentation. 

• Able to push, pull, and lift up to 50 lbs. 

• Forklift certified 

Please note: This role requires working on-site 5 days a week. We do not offer hybrid or remote options. 

Motional’s Las Vegas office is located less than 10 miles from the Las Vegas strip at 730 E Pilot Road and is home to one of the largest fleets of self-driving vehicles. The city’s grid system of roads and being one of America’s “smart cities” allows for extensive research and development testing.

Mission Summary: 

The Director of Commercial Operations is a critical senior management team member and is responsible for the safe and reliable operation of Motional’s commercial fleet and supporting commercial partners. Reporting to the Senior Director of Operations, the Director of Commercial Operations is expected to develop and maintain an excellent level of operating performance through increased reliability and close working relationships with cross-functional stakeholders. This role requires extensive operational experience to ensure that the efficient deployment of the commercial autonomous vehicle (AV) Fleet is safe, reliable and accessible. The Director will be responsible for achieving improved efficiencies by implementing new tools and technologies, while also ensuring that any cost-efficiency plans are driven by Motional’s core values and commitment to a driverless vehicle future.

What You’ll Be Doing:

Fleet Performance & Operational Excellence:

• Own end-to-end commercial fleet performance across all active markets, including safety, reliability, utilization, and service delivery metrics.
• Establish and drive KPIs such as fleet availability, autonomous miles, incident rates, MTTR (mean time to resolution), and SLA adherence.
• Translate operational data into actionable insights to continuously improve fleet efficiency, uptime, and customer experience.
  
  

Multi-Market Operations Leadership:

• Lead and standardize operations across multiple geographies, ensuring consistency in execution while adapting to local Operational Design Domains (ODDs).
• Develop scalable operating models that support expansion of fully driverless deployments.
• Ensure operational readiness for new market launches, including staffing models, infrastructure, and regulatory alignment.
  
  

Command Center & Incident Management Oversight:

• Provide executive oversight of real-time fleet command and control functions, including incident response, escalation protocols, and non-nominal event management.
• Ensure robust incident command structures are in place to rapidly contain risk and maintain public trust during high-severity events.
• Drive post-incident review processes to identify root causes and implement systemic corrective actions.
  
  

Cross-Functional Integration:

• Serve as the senior operational liaison across Engineering, Safety, Product, Mapping, and Commercial teams.
• Align fleet operations with system capabilities, product roadmap, and safety frameworks to ensure cohesive execution.
• Partner with Commercial and Business Development teams to support partner success and contractual performance obligations.
  
  

Field Operations & Resource Optimization:

• Oversee field support strategy, including On-Road Response Specialists (ORS), third-party vendors, and dispatch operations.
• Optimize resource allocation models to balance response time, cost efficiency, and service coverage.
• Ensure field operations meet defined SLAs and are equipped to support both driver-assisted and driverless operations.
  
  

Technology, Tooling & Process Innovation:

• Identify, implement, and scale operational tools, automation, and technologies that improve fleet performance and reduce manual intervention.
• Partner with Engineering and Product teams to define system requirements that enhance operational visibility and control.
• Champion data-driven decision-making frameworks across all levels of fleet operations.
  
  

Cost Efficiency & Financial Stewardship:

• Develop and manage operational budgets with a focus on cost efficiency, scalability, and ROI.
• Identify cost reduction opportunities without compromising safety, reliability, or customer experience.
• Ensure financial discipline aligns with company values and long-term driverless strategy.
  
  

Regulatory, Safety & External Stakeholder Engagement:

• Ensure compliance with all local, state, and federal regulatory requirements governing AV operations.
• Act as a senior representative with city officials, regulators, and first responders to maintain strong external relationships.
• Uphold and reinforce a safety-first culture across all operational functions.
  
  

Leadership & Organizational Development:

• Build, lead, and develop high-performing operations teams, including managers and frontline leadership.
• Establish clear accountability structures, performance management frameworks, and leadership development pathways.
• Foster a culture of urgency, ownership, and continuous improvement aligned with company values.

What We’re Looking For:

• Bachelor’s degree required (Operations, Marketing, Business, Engineering, Logistics); equivalent practical experience a plus.
• 10+ years of experience in operations leadership within mission-critical, real-time environments (autonomous systems, aviation, logistics, defense, or large-scale mobility operations).
• 5+ years in a senior leadership role (Director and above) with responsibility for multi-site or multi-market operations.
• Experience managing third-party vendors and commercial partnerships with performance-based contracts.
• Proven track record of owning and improving complex operational systems at scale, including safety, reliability, and cost performance.
• Demonstrated expertise in incident management, command-and-control structures, and operational risk mitigation.
• Strong financial acumen with experience managing budgets, cost optimization initiatives, and resource planning.
• Experience leading cross-functional organizations and influencing Engineering, Product, and Commercial stakeholders.
• Deep analytical capability with experience leveraging data to drive operational improvements and strategic decisions.
• Exceptional communication and executive presence, with the ability to operate effectively in high-pressure environments.
• Ability to support a 24/7 operational model, including on-call escalation leadership.
  
  

Bonus Points (not required):

• Experience in autonomous vehicles, driverless systems, or mobility platforms.
• Background in air traffic control systems, military command-and-control, emergency management, or network operations centers.
• Experience scaling driverless or highly automated systems in real-world environments.
• Familiarity with ODD frameworks, geospatial operations, and real-time routing systems.
• Experience with fleet management platforms, telematics, and real-time operational analytics tools
• Proven success in launching new markets or expanding operations in regulated environments.
• Experience managing field operations or dispatch logistics, including SLA performance oversight.
• Track record of process standardization and operational scalability in high-growth environments.
• Background in safety operations, emergency response, or reliability engineering. 
  
  

Physical Demands & Working Environment:

• This role requires the ability to interface with both office and field environments.
• The employee is occasionally required to remain stationary at times for up to 50% of working time
• Operate and use office equipment.  
• Reasonable accommodations may be made to enable individuals with disabilities to perform the essential job functions.

Motional’s Las Vegas office is located less than 10 miles from the Las Vegas strip at 730 E Pilot Road and is home to one of the largest fleets of self-driving vehicles. The city’s grid system of roads and being one of America’s “smart cities” allows for extensive research and development testing.

Mission Summary:

A Triage Specialist is responsible for accurately reviewing data that has been collected from, but not limited to Public Road Evaluation (PRE) testing and performing first-level Root Cause Analysis and quality checks for third party Triage Contractors. They communicate between Engineering and component teams and help to improve Triage outcomes. This role will identify gaps and assist in creating processes that will enhance Triage throughput. Efficiency and quality is critical, but ultimately, a Triage Specialist plays a key role in maintaining the safety standards of how the AV performs on the road.

Essential Duties:

• Perform Level 1 Root Cause Analysis (RCA) on several different test modalities, including, but not limited to, public roads, closed courses, and simulation
• Work closely with third-party Triage contractors to help improve quality and throughput
• Closely partner with the Autonomy Team to maintain a rapport for a rapid and iterative feedback loop
• Drive the issue identification, analysis/introspection, mitigation, and reporting lifecycle with the System Performance engineers
• Thoroughly understand the different components of the software stack and maintain knowledge as things change, including expected behaviors and visual representation across various tools
• Show initiative and be a valued team member in our innovative, fast-paced, technical environment where cooperative teamwork across locations is the norm
• Analysis of simulated AV scenarios
• Accurately categorize events into a range of categories and types
• Tag logs to reflect search optimization and metrics which are appropriate for each
• Create and manage events on internal Triage developed tooling
• Investigate any logs that have extenuating circumstances that may have previously prevented a reviewer from completing their task, ending in a fully reviewed log
• Participate in the recurring standup to address new concerns and assignments that may need to be undertaken. This may include new information on which routes need to be prioritized and changes in the Triage process that need to be implemented
• Oversee and aid in the training of new team members and provide feedback on any misidentified incidents, and coach best practices to improve team efficiency
• Provide feedback on newly implemented tools and ways that they have impacted the review process in both a critical and positive manner
• Create and update process documentation as needed 
• Able to travel domestically
• Other duties as assigned
  
  

Qualifications:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.  The requirements listed below are representative of the knowledge, skill, and/or ability required.

• Enthusiasm for the AV industry as well as safety and mobility
• Be proficient in working across a suite of proprietary software tools and applications
• Ability to understand technical terminology regarding the software stack and each contributing component
• Work in a fast-paced, dynamic environment across multiple time zones with strong communication and collaboration
• Demonstrated problem-solving skills and ability to think logically and remove bias from the evaluation of problems
• Posses a detail-oriented mindset focused on safety
• Strong troubleshooting, debugging, analytical, and creative problem-solving skills
• Have a strong attention to detail and be able to work independently
• Effective time management skills
• Able to analyze data for long periods without sacrificing efficiency and accuracy
• Experience in data quality assurance
• Experience with software engineering concepts, including requirements analysis, source control, and build processes 
  
  

Preferred Qualifications (not required):

• Experience using issue tracking and configuration management tools (E.g: Atlassian Confluence, Jira, Git.)
• Experience with software release management and release testing
• Entry-level experience with Linux and scripting languages (E.g: Bash/Shell, Python)
• Data Analysis experience and SQL
• Experience with the testing of autonomous vehicles
• Thorough understanding of robotics systems, including sensors, actuators, mechatronics, and software systems
  
  

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. This position is not restricted to any one site. You will be responsible for traveling to all domestic and international testing locations.

Travel Requirements (greater than 10%): 

Expected to travel for 1 week each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business.

Working Environment:

The work environment characteristics described here are representative of 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 essential functions.

While performing the duties of this job, the team member is regularly exposed to the office environment, 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. When occasionally visiting our test sites and tracks, the team member may experience some loud noises and harsh weather conditions. When traveling, the team members will be exposed to airports, airplanes, hotels and public transportation environments.

Motional AD LLC is an Equal Employment Opportunity employer and we welcome all qualified applicants.  All applicants will receive impartial consideration without regard to race, sex, color, national origin, age, disability, veteran status, genetic data, religion, gender identity, sexual orientation or other legally protected status.  Motional AD LLC is a Drug-free workplace.

Motional’s Las Vegas office is located less than 10 miles from the Las Vegas strip at 730 E Pilot Road and is home to one of the largest fleets of self-driving vehicles. The city’s grid system of roads and being one of America’s “smart cities” allows for extensive research and development testing.

Mission Summary:

We are seeking a motivated Test Control Engineer to join our Team. In this strong intermediate level role, you will take full ownership of assigned tasks within defined test execution procedures and support the broader Test Engineering team in validating sophisticated autonomous systems. Working under the guidance of senior engineers, you will ensure our vehicles and systems are mission-ready through rigorous readiness checks, real-time monitoring, and low-level subsystem validation.

Key Responsibilities:

• Test Execution & Readiness: Take full ownership of assigned tasks within defined test procedures, including specific checklist items and system monitoring. Perform all pre- and post-test readiness checks completely, accurately, and on time. 
• Set up, configure, and operate AB Dynamics systems (GST, Launchpad), including target preparation and robot operation.
• Execute structured scenario-based testing using track infrastructure and robotic platforms.
• Subsystem Validation: Execute and support fault injection and low-level control testing for critical subsystems, including actuator-level behavior (throttle, brake, steering) against expected control responses and safety constraints.
• System Monitoring: Provide timely and accurate real-time monitoring of assigned system statuses during testing to ensure safe and successful execution.
• Technical Support: Execute basic configuration and setup of instrumentation and telemetry. Assist in on-vehicle and off-vehicle tests focusing on critical components such as control systems and perception.
• Utilize Vector tools (CANalyzer/CANoe) for live debugging, signal tracing, and post-test analysis.
• Documentation & Triage: Maintain accurate, organized, and complete logs of all test activities. 
• Analyze vehicle logs (CAN, telemetry, system logs) to identify anomalies and support root cause analysis (RCA).
• Collaborate directly with developers to reproduce issues and validate fixes.
• Issue Escalation: Promptly and clearly escalate all anomalies or issues to a senior engineer immediately upon detection.
• Simulation Support: Support testing within virtual environments, including Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) platforms.
  
  

Qualifications:

• Technical Proficiency: Proficiency with laptop computers, GSuite apps, and touchscreen smartphones. Strong familiarity with Linux environments and a general understanding of low-level vehicle control systems.
• Hardware & Tools: Basic exposure to automotive communication protocols (CAN, LIN, Ethernet) and tools like CANalyzer or CANoe for bus-level debugging.
• Programming & Data: Basic exposure to scripting languages such as Python, Bash/Shell, or SQL. Ability to analyze logs to assess system behavior.
• Communication: Proactive communicator who raises issues early and clearly with minimal prompting. Demonstrated ability to operate as a self-starter in fast-paced, ambiguous environments.
• Professionalism: Punctual, reliable, and a strong team player who works cooperatively as a supportive member of the test execution team.
• Operational Requirements: Must be able to safely maneuver around autonomous vehicles and multitask with various technologies. Ability to work flexible shifts (mornings, evenings, weekends, or overnights) and travel up to 15% with short notice. Hands-on work at test track environments is a core part of this role. Comfortable working around vehicles, hardware, and test equipment daily.
• Physical Demands: Must be able to sit for extended periods and occasionally lift or move up to 50 pounds. Must be comfortable working outdoors in various weather conditions.
• Driver’s License: A valid driver's license is required.
  
  

Preferred Qualifications:

• General awareness of industry safety standards such as ISO 26262 and ISO 21448 (SOTIF).
• Experience with automated test case execution.
• Experience with track-based testing using robotics platforms.
• Experience testing low-level vehicle control systems (body-controls, braking, steering)
  
  

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.

Mission Summary:

Motional is seeking a Staff Front End Engineer expert for its Web Visualization Tooling team.  This role will directly contribute through the creation of critical web tooling and visualization that allows us to improve our feedback loops for machine learning (ML) engineers and improve the performance and adaptability of our autonomous vehicle (AV) system.

What you'll be doing:

• Drive cross-team standards and best practices for web development
• Own cross team collaboration, ensuring deliveries are made on time and effectively
• Architect and scale a modern frontend ecosystem using React, TypeScript, and Vue.
• Collaborate closely with ML, frontend, UX, data services, data mining, and data annotation teams to align tooling with real-world workflows
• Build mission-critical UI systems used by a variety of internal customers.
• Design initiative experiences for complex, data-heavy workflows.
• Drive best practices around performance, scalability and maintainability
• Ship quickly and iterate in a product driven environment.
  
  

What we're looking for:

• Desire to design and build user-facing visual applications, and a passion for good UX.
• Strong proficiency in React, Typescript and modern frontend architecture
• Proficiency in Vue
• Strong product sense with a focus on UX and usability.
• Ability to work with high ownership and autonomy.
• Ability to work autonomously and independently, and to drive development initiatives with little oversight. High aptitude for learning and organization skills.
• Great interpersonal skills and ability to mentor and (on occasion) delegate to other engineers at various levels of relative seniority.
• A well-established technical design and documentation habit
• Capability to work directly with customers to identify foundational needs and provide solutions.
  
  

Bonus Points(not required): 

• Demonstrated project management expertise / advanced hands-on understanding of project management agility and operational excellence.
• A love for the continuous delivery of value.
• Exposure to backend systems (Node, Python)
• Experience in Game Development or 3D Visualization

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn’t just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.

The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.

We are seeking a highly skilled Software Engineer to play a critical role in evaluating and improving the performance of our autonomous vehicle (AV) technology. This engineer will be responsible for developing and implementing metrics and software tools, primarily using Python, to effectively measure, analyze, and report on the performance of our AV systems. Their work will directly contribute to accelerating the development of safe and reliable autonomous technologies by transforming complex AV data into actionable insights for the organization.

What You'll Be Doing:

• Design AV Performance Analysis Pipelines: Define, design, and implement key pipelines to extract on-road or simulated events and evaluate autonomous vehicle performance (e.g., lane change capability, oscillation/braking metrics, VRU emergence from occlusion).
• Develop Metrics Software and AI-Powered Tools: Leverage strong Python skills to develop frameworks, AI-powered tools, and systems for calculating, aggregating, and visualizing AV performance metrics from large datasets.
• Collaborate Cross-Functionally: Work with systems, software, AI, controls, simulation, and validation teams to understand needs and improve systems like Perception, Prediction, and Planning.
• Ensure Data Quality and Validation: Implement rigorous checks and validation processes to ensure the accuracy and integrity of data used for performance evaluation.
• Document and Share Knowledge: Create clear documentation for metrics and analysis tools, and share best practices with the engineering team.
• Advance Technical Expertise: Proactively evaluate and integrate new technologies and methodologies relevant to autonomous vehicles and software engineering.
  
  

What We're Looking For:

• 5+ years of software engineering experience and a Bachelor's degree in Computer Science or a related field; a Master's degree is a plus.
• Expert-level proficiency in Python and a strong understanding of modern software development principles and best practices.
• Strong analytical and problem-solving skills, particularly in the context of complex system performance evaluation and data analysis.
• Proficient with Git and standard version control workflows.
• Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts and results to diverse audiences (engineers, product managers, leadership).
• Proven ability to work both independently and effectively as part of a multidisciplinary team.
• Strong attention to detail and a commitment to data quality, accuracy, and rigorous testing.
• Comfortable working in a fast-paced, agile, continuous integration/continuous delivery (CI/CD) environment.
  
  

Bonus Points (not required):

• Experience working with autonomous vehicle sensor data (e.g., LiDAR, camera, radar).
• Familiarity with simulation environments and data generated from AV simulations.
• Experience with data visualization tools (e.g., Looker) for presenting performance metrics.
• Knowledge of statistical analysis and machine learning techniques relevant to performance evaluation.

Success Metrics:

• Successful design and implementation of key autonomous vehicle performance metrics.
• Improvement in the efficiency and effectiveness of AV performance evaluation processes.
• Timely and accurate delivery of data and insights to AV development teams.
• Contribution to the overall advancement and safety of our autonomous vehicle technology.

This is a unique opportunity to make a meaningful impact at Motional by enhancing our data platform and accelerating development speed for our industry-leading autonomous vehicle metrics and capabilities ecosystem. We take pride in having some of the brightest and most dedicated talent in the world on our team. If you're innovative, driven, and eager to tackle challenges, we'd love to have you join us!

Physical Demands:

While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.

Travel Requirements (greater than 20%):

Expected to travel for 1-2 weeks each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business.

Working Environment:

The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particlesThe noise level in the environment is low to moderate.

Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn’t just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.

The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.

Mission Summary:

The Autonomy Subsystems team at Motional is focused on designing and evaluating modules of the autonomy software. We are seeking a talented senior engineer to contribute to evaluation of our machine learning subsystems. Our team performs a variety of evaluations of machine learning models, including offline model eval, evaluation of open and closed-loop re-simulations, and assessment of on-road performance. Our goal is to establish metrics that describe autonomy subsystem performance, evaluate against those metrics to validate performance, and provide meaningful insight to ML developers and teams, working closely alongside them to improve the performance of ML models on the car.

We are looking for a highly-technical systems engineer with experience designing and evaluating safety critical systems and machine learning models. Bring your passion for autonomy, robotics, and machine learning to our team to help build a production-ready system and prepare for our scaled robotaxi service deployment.

Responsibilities:

• Define, prototype, and validate advanced metrics that bring new insights to model performance evaluation for autonomy subsystems (mainly focused on perception, prediction, and planning).
• Assess coverage of existing training and testing, then curate test sets that sufficiently capture Motional’s intended deployment operational design domain, across many axes (agent types, interaction types, map/spatial, etc.).
• Evaluate machine learning model performance against these metrics and tests.
• Assess system-level performance and subsystem contribution to system behavior through large-scale data analysis of on-road and simulation events.
• Define performance requirements for autonomy subsystems, and supporting analyses required to establish these targets.
• Coordinate subsystem-level evaluation with other system-level testing efforts across the systems team in support of the safety case and safety claims.
  
  

Qualifications:

• An engineer who has demonstrated strong cross-functional collaborative skills and is highly self-starting. This is a highly cooperative role across systems, autonomy, infrastructure, and other parts of the organization.
• Proven engineer with 5+ years of experience working on high-tech safety critical systems or robotics, ideally from a systems, robotics, or similar background.
• Master’s degree in relevant fields (systems, robotics, ML, CS, etc.) or Bachelor’s degree plus significant relevant in-field experience.
• Skilled Python developer, familiarity with analyzing the large scale data required to train and test ML models.
• Experience designing unique metrics that capture key aspects of system behavior and are used to enhance model development.
  
  

Bonus Skills:

• Experience training machine learning models, familiarity with state-of-the-art ML model architectures.
• Deep experience with a specific aspect of machine learning for autonomous robotics (perception, prediction, or planning).
• Knowledge of C++, especially applied to safety critical systems.
• Experience with systems verification and validation techniques
• Experience with regression testing updates to already-deployed software in a safety-critical environment.
• Experience with automotive standards (E.g: ISO 12207, ISO 26262, ISO 21448)
• Experience with software quality management and assurance activities (E.g: IATF 16949, ISO 9001)
• Thorough understanding of robotics systems including sensors, actuators, mechatronics and software systems
• Work in cross collaboration teams to address problems and find solutions
  
  

Physical Demands:

While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.

Travel Requirements (greater than 20%):
Expected to travel for 1-2 weeks each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business.

Working Environment

The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particlesThe noise level in the environment is low to moderate. 

Motional AD LLC is an Equal Employment Opportunity employer and we welcome all qualified applicants.  All applicants will receive impartial consideration without regard to race, sex, color, national origin, age, disability, veteran status, genetic data, religion, gender identity, sexual orientation or other legally protected status.  Motional AD LLC is a Drug-free workplace.

Mission Summary:

The Mapping Analyst will provide global support to the Map Operations team and support launching autonomous vehicle service in new cities around the country and the world. The Mapping Analyst will provide support to the Market Entry Map Operations team by collecting infrastructure data and analyzing road features and work closely with product and engineering teams to guide feature development, and will support the global team by annotating maps, assisting with data-collection and map validation.

The Motional Las Vegas office is located less than 10 miles from the Las Vegas strip at 730 E Pilot Road, the Las Vegas office is home to one of the largest fleets of self-driving vehicles. The city’s grid system of roads and being one of America’s “smart cities” allows for extensive research and development testing.

Essential Duties:

• Annotate/digitize high-definition maps of roads that are used for autonomous driving, using in-house mapping software, and play an active role in the expansion and maintenance of mapped areas
• Perform in-depth analysis of road infrastructure using multiple data sources
• Conduct various validation tests to ensure quality control, including a peer-reviewing process with fellow mapping a, and conduct in-house vehicle simulations
• Investigate and fix map-related issues, conduct testing and update maps upon receiving feedback from the vehicle operations team or reviewing logs from vehicle runs
• Ensure that the annotated maps are ultimately well-validated, road-worthy and accurate while making rides safe, comfortable and error-free
• Identify pickup/dropoff areas to comply with market demand and AV capabilities
• Document and streamline map production and maintenance processes, and ensure that all map annotation best practices are well-documented and adhered to
• Work closely with the mapping software development team to investigate map data issues, report and replicate software bugs, conduct testing and provide useful feedback to improve the mapping software
• Work with engineering teams to identify, document, and prioritize features for engineering development
• Collaborate with product team to help define the company’s operating area
• Provide field support for road operations
• Support global mapping efforts
• Able to travel domestically to target cities for on-the-ground data collection and road study
• Additional duties assigned
  
  

Qualifications:

• Background in working with mapping software, GIS, AutoCAD or other spatial design software
• Bachelor Degree in geography, science, engineering preferred, minimally 6 month  experience with 2 to 5 years of experience highly preferred
• Knowledge of road traffic rules and regulations required
• Highly attentive to quality and detail; experience with QA/QC process preferred
• Enthusiasm for the AV industry as well as safety/mobility is preferred
• Able to present in front of small-medium groups 
• Exemplary organizational and time management skills
• Skilled in Microsoft/G-Suite applications including PowerPoint/Slides, Excel/Sheets, Word/Doc
• Valid driver's license required
• Minimum of at least 6 months of driving experience
  
  

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 of time; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and/or move up to 50 pounds.

Working Environment:

The work environment characteristics described here are representative of 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/or airborne particles.  The noise level in the environment is low to moderate.

Safety Requirements:

Because interfacing with the public and/or other employees in a confined setting is an essential function of the job, Motional currently requires those performing this role to be fully vaccinated. Anyone hired into this role should be vaccinated by their start date. Motional is an equal opportunity employer, and will provide reasonable accommodation to those unable to be vaccinated where it is not an undue hardship to the Company to do so as provided under federal, state, and local law.

Motional’s Las Vegas office is located less than 10 miles from the Las Vegas strip at 730 E Pilot Road and is home to one of the largest fleets of self-driving vehicles. The city’s grid system of roads and being one of America’s “smart cities” allows for extensive research and development testing.

Mission Summary:

The Autonomous Vehicle (AV) Test Engineering team at Motional is responsible for validating the safety, functionality, and performance of our self-driving technology and commercial operations platform through rigorous, system-level testing. Motional is seeking a highly skilled and motivated Senior Automation Test Engineer to join our AV Test Engineering team. In this role, you will lead the design, development, and execution of backend and frontend automation frameworks for our fleet operations platform — the operational backbone of our commercial robotaxi service. You will also lead and mentor a fellow automation engineer, driving best practices and continuous improvement across the team.

What you'll work on:

• Own the architecture, development, and maintenance of scalable backend and frontend test automation frameworks for a fleet operations platform, with a primary focus on backend API and service-level validation.
• Design and execute comprehensive automated test suites covering backend services, APIs, and data pipelines, as well as frontend UI workflows within the operations platform.
• Lead integration testing efforts for third-party APIs and internal services, ensuring reliable end-to-end data flow across fleet management, dispatching, and monitoring systems.
• Develop automation solutions primarily in Python and Go for backend testing, and JavaScript for frontend validation, while proactively adopting new tools and frameworks as the platform evolves.
• Lead, mentor, and collaborate with one automation test engineer, providing technical guidance, code reviews, and support for professional development.
• Partner closely with software engineers and product teams to define test strategies, identify coverage gaps, and establish quality gates within CI/CD pipelines.
• Conduct root-cause analysis on test failures and system defects, driving resolution across backend services and frontend interfaces.
• Contribute to documentation, test plans, and operational frameworks that bring clarity and transparency to the automation testing process for all stakeholders.
  
  

What we're looking for:

• 5+ years in software QA or test automation, with a strong emphasis on backend and API testing.
• Bachelor's degree or higher in Engineering, Computer Science, or a related technical field.
• Technical Expertise:
• Hands-on proficiency in Python and Go for backend test automation, and JavaScript for frontend automation.
• Demonstrated experience designing and building automation frameworks from the ground up for complex, distributed systems.
• Experience with REST/gRPC API testing, service integration validation, and data pipeline verification.
• Experience with CI/CD pipelines and integrating automated quality gates for production-grade software releases.
• Proven ability to lead technical efforts, operate autonomously, and drive cross-functional collaboration.
• Ability and willingness to quickly learn new tools, frameworks, and technologies as the platform and stack evolve.
  
  

Bonus points:

• Experience with autonomous vehicle fleet monitoring, dispatching, or fleet management systems.
• Experience with Uber API or similar ride-hail/transportation platform integration testing.
• Familiarity with cloud telemetry systems or AV data pipelines.
• Experience in a cross-site or global engineering organization.
• Master's degree in a relevant field.

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

Motional’s Las Vegas office is located less than 10 miles from the Las Vegas strip at 730 E Pilot Road and is home to one of the largest fleets of self-driving vehicles. The city’s grid system of roads and being one of America’s “smart cities” allows for extensive research and development testing.

Mission Summary:

The Remote Vehicle Assistance Agent monitors live data and provides remote assistance to Motional vehicles in autonomous mode when they encounter unknown situations. Using proprietary software tools, agents interact with the AV and provide context and assistance to allow the vehicle to continue its mission - no steering wheel required. 

What you'll be doing:

• Monitor Motional autonomous vehicles (AV) operating on closed courses and public roads
• Assist in the AV decision making with real world events to ensure safe and efficient paths of travel
• Monitor AV camera feed to ensure the cameras and AV are functioning properly
• Monitor AV systems to ensure AV and systems are functioning properly
• Provide support to AV in real time to assist with direction or safety of travel
• Work closely with various engineering teams for system testing and testing of new scenarios
• Work closely with design teams to support development of functions and performance of AV
• Interact with AV to resolve tickets and issues through various software and hardware
• Reporting of system functionality issues to management in a timely manner
• Other duties as assigned
  
  

What we're looking for:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.  The requirements listed below are representative of knowledge, skill and/or ability required.

• Strong collaboration skills
• Proficiency in G-suite applications
• Independent, detail-oriented and exemplary organizational and time management skills
• Strong capability in analytical/ problem solving 
• Excellent written and verbal communication skills
• Prior experience as an Operator/Driver for Autonomous Vehicles, including some type of internal or external training on Autonomous Vehicle technology is preferred
• Basic working-knowledge of Autonomous Vehicle technology
• Experience and training on providing subjective feedback on vehicle behaviors and environment
• Local knowledge of city of streets, geography and environmental features that may be challenging for Autonomous Vehicles
• High school diploma or equivalency
• Able to work days, nights and weekends
• Must be able to use company communication systems and communicate clearly and effectively both written and verbal
• Must be able to read a map and possess and/or learn traffic laws for locations where AV operate
  
  

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; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and/or move up to 50 pounds.

• Requires near/far/depth and color vision to safely assist Autonomous Vehicles and computer screens
• Able to stay awake and alert on shift at all times
• Able to sit/stand for up to 10 hours at a desk
  
  

Working Environment:

The work environment characteristics described here are representative of those a team member encounters while performing the essential functions of this job.  Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

The job operates in a combination of a professional office environment and the garage where company vehicles are stored and repaired.  This role routinely uses standard office equipment such as computers, phones, photocopiers and filing cabinets.  While performing some duties of this job, the employee is occasionally exposed to vehicle related fumes or airborne particles, moving vehicles and noise levels vary depending on the location within the building.  This position will also spend time outside as well as at our training tracks.

Motional AD LLC is an Equal Employment Opportunity employer and we welcome all qualified applicants.  All applicants will receive impartial consideration without regard to race, sex, color, national origin, age, disability, veteran status, genetic data, religion, gender identity, sexual orientation or other legally protected status.  Motional AD LLC is a Drug-free workplace.

This role is based in our Las Vegas office and requires on-site days each week.

Mission Summary:

The Staff Systems Safety Engineer:

• Oversees the development and implementation of engineering safety processes for our autonomous vehicle systems
• Is responsible for reviewing hazards, risk assessments, and ensuring compliance with industry safety standards (ISO 26262, SOTIF, and ASIL).
• Collaborates with cross-functional teams, including software, hardware, and AI engineers, to ensure integration of safety into the design and validation of our AV system
  
  

Essential Duties:

• Ensure and oversee the development and implementation of  system safety processes for autonomous vehicle platforms.
• Ensure hazard analysis and risk assessments (HARA) for AV components and subsystems are conducted.
• Assist in the definition and verification of functional safety requirements in compliance with ISO 26262 and SOTIF (ISO 21448).
• Collaborate with hardware, software, and AI teams to integrate safety measures into perception, decision-making, and control systems.
• Support the development of failure mode and effects analysis (FMEA) and fault tree analysis (FTA) for AV systems.
• Ensure compliance with regulatory and industry safety standards, including SAE J3016, NHTSA, and UNECE WP.29.
• Ensure the development and execution of safety verification and validation plans, including simulation, testing, and real-world driving scenarios.
• Work with certification bodies and regulators to ensure safety case documentation and approval processes.
• Contribute to the development of safety culture within the organization by providing guidance and training
  
  

Qualifications:

Educational Requirements

• Bachelor’s or Master’s degree in Systems Engineering, Electrical Engineering, Computer Science, Mechanical Engineering, or a related field 

Technical / Specialized Knowledge, Skills, Abilities:

• 5+ years industry and 3+ years of experience in safety engineering for automotive, aerospace, or robotics systems.
• Strong knowledge of functional safety standards (ISO 26262, SOTIF, ASIL).
• Knowledge of systems / software engineering standards (INCOSE, ISO15288, ASPICE CMMI)
• Experience with hazard analysis, risk assessment, and safety case development.
• Proficiency in safety analysis tools (e.g., Medini Analyze, Ansys, Fault Tree+, FMEA software).
• Familiarity with autonomous vehicle architectures, including perception, planning, and control systems.
• Experience working with real-time embedded systems and software safety.
• Strong problem-solving, analytical, and communication skills.
• Experience with machine learning safety challenges in AVs.
• Knowledge of cybersecurity principles related to vehicle safety (ISO/SAE 21434).
• Experience in safety assurance for AI-driven systems.
• Previous work with automotive OEMs, Tier 1 suppliers, or AV startups

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 are representative of 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 the office environment, 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. When traveling, the team member will be exposed to airports, airplanes, hotels and public transportation environments.

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

Motional’s Las Vegas office is located less than 10 miles from the Las Vegas strip at 730 E Pilot Road and is home to one of the largest fleets of self-driving vehicles. The city’s grid system of roads and being one of America’s “smart cities” allows for extensive research and development testing.

Mission Summary:

Motional is seeking a highly technical and results-oriented Product Manager to define, build, and deliver an exceptional fleet operations ecosystem for our internal fleet operations teams. This role demands a deep understanding of software product development, a passion for user-centric design, and a proven track record of shipping complex, customer-facing and operational technical products.

You will be responsible for the product strategy and execution of Motional’s entire fleet operations software tooling. Crucially, you will own Motional’s Command Center application which is responsible for all aspects of fleet management. This is a hands-on role requiring close collaboration with engineering, strategy and operations teams.

Key Responsibilities:

Overall Fleet Operations Tooling Strategy:

• Lead the strategy for unified fleet operations tooling, creating a scalable ecosystem that streamlines vehicle mission management, health monitoring, and customer assistance at every stage of the operational lifecycle.
• Translate insights into clear product requirements and a prioritized backlog that delivers measurable customer and business value.
  
  

Command Center Product Ownership:

• Lead the product definition and development for our Command Center Fleet operations application, including:
   
  •  Config/deployment
  • In-facility bring-up and launch
  • on-road fleet management
  • field support
  • Maintenance
    
    

Technical Product Management & Delivery:

• Author detailed technical product specifications, user stories, and acceptance criteria for engineering teams across customer experience and fleet systems.
• Demonstrate a strong bias for action and a proven ability to drive complex technical projects from concept through launch and iteration in an agile environment.
• Partner closely with software engineering (cloud, embedded, mobile), hardware engineering, AI/ML, and QA teams to ensure features are technically sound, built to specification, and delivered on time.
  
  

Data-Driven Iteration & Optimization:

• Define and meticulously track key performance indicators (KPIs) related to customer satisfaction, engagement, task success rates, operational efficiency, and overall experience quality.
  
  

Qualifications:

• Bachelor's degree in Computer Science, Software Engineering, HCI/Human Factors, or relevant technical field
• 5+ years of product management experience with a demonstrable strong technical background, specifically focused on customer-facing software products, operational tools, or complex system integrations.
• Proven history of successfully delivering technically challenging products from initial concept through multiple iterations and commercial launch.
• Deep understanding of software development lifecycles, agile methodologies, and modern software architecture (including cloud-based services and distributed systems).
• Experience with Human-Machine Interface (HMI) design, in-vehicle infotainment (IVI) systems, mobile application development (iOS/Android), platform/API integrations, or operational command and control interfaces.
• Exceptional ability to translate customer and operator needs into detailed technical requirements and effectively communicate them to engineering teams.
• Strong analytical and problem-solving skills, with a meticulous attention to detail.
  
  

Preferred Qualifications:

• Direct experience in the autonomous vehicle, automotive technology, ride-sharing, or logistics/fleet management industries.
• Experience with in-vehicle operating systems (e.g., Android Automotive, QNX), display technologies, and vehicle communication protocols.
• Experience defining, building, and managing APIs for third-party integrations.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and technologies relevant to fleet management and real-time data processing.
• Demonstrated ability to work effectively with both embedded/hardware engineering teams and cloud/mobile software engineering teams.
• A genuine passion for creating innovative, intuitive, and delightful user experiences in emerging technology domains for both end-customers and internal operational users.
• Experience with user research methodologies and usability testing for both consumer-facing and enterprise/operational tools.
  
  

What We Offer:

• A competitive compensation package, including salary, bonus, and equity.
• A unique opportunity to work on industry-defining technology with a world-class team.
• Comprehensive benefits, including medical, dental, vision, and 401(k).
• A collaborative culture that values innovation, safety, and integrity.
• Significant opportunities for professional growth and development in a fast-moving field.
  
  

Equal Opportunity Employer:

Motional is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other characteristic protected by applicable law.

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

Mission Summary:

As a Technical Lead Manager at Motional, you'll lead a team responsible for the development and delivery of core trajectory planning algorithms via numerical optimization for autonomous vehicles. In this role, you will be at the forefront of shaping the motion planning and control systems that enable our fleet to navigate complex environments safely, efficiently, and comfortably. As a key leader, you will drive the development and continuous performance improvements of cutting-edge trajectory generation algorithms, collaborate with cross-functional teams (Planning, Perception, Prediction, Localization, ML Products, and Systems Engineering), and mentor a talented group of highly skilled engineers to deliver state-of-the-art solutions. 

If you are passionate about autonomous driving and being part of our commercial launch this year, thrive on solving challenging real-world problems, and eager to make a significant impact in a rapidly evolving field, we want to hear from you!

What you'll do:

• Lead and scale a high-impact trajectory planning team, defining its technical vision, execution strategy, and long-term organizational role within the Motion organization.
• Drive commercial launch readiness for trajectory planning by delivering on-road driving behavior improvements (safety, comfort, and assertiveness) across the fleet through feature expansion, continuous performance improvements, and innovation through state-of-the art methods.
• Apply a rigorous, metrics-driven framework to quantify and improve on-road performance. Champion leveraging existing training and evaluation pipelines to ensure scalable, production-ready delivery.
• Manage the computational efficiency and real-time performance of trajectory generation algorithms, ensuring latency budget compliance.
• Lead the rapid triage and root-cause analysis (RCA) of critical fleet incidents, translating real-world edge cases into immediate algorithmic refinements and validation sets.
• Oversee the successful execution of complex, multi-team initiatives, ensuring technical alignment from design through deployment while maintaining a rigorous standard for testing and validation to meet the high safety bars required for our commercial launch.
• Coordinate with peer leads to provide technical leadership, making consequential decisions on architectural direction, strategic investments, tactical execution, and technical debt reduction.Ensure technical excellence through rigorous design and code reviews while actively facilitating the professional growth and mentorship of your engineering team. Set and drive ambitious goals that challenge the team to deliver industry-leading trajectory planning solutions.
• Define and negotiate quarterly and annual technical roadmaps aligned with company-level autonomy milestones in coordinate with project managers and execute plans on schedule.
  
  

What we're looking for:

• Proven Engineering Leadership: 2+ years of experience managing high-performing development teams, with a demonstrable track record of inspiring, mentoring, and coaching engineers and driving measurable productivity gains.
• Ship-to-Production Mindset: Experience leading the delivery of production-quality algorithms in a high-stakes environment (Autonomous Vehicles, Robotics, or Aerospace). You know what it takes to move from a prototype to a commercially viable product.
• Strategic Vision: Ability to look beyond the immediate deliverables to define and defend a balanced technical roadmap that balances long-term architectural health with the urgent needs of a 2026 commercial launch.
• Technical Domain Expertise: Deep theoretical and practical expertise in numerical optimization and optimal control. You should be highly proficient in areas such as Model Predictive Control, nonlinear programming, and convex optimization applied to real-time trajectory generation.
• Advanced Motion Planning: Significant experience solving motion planning problems under uncertainty, including interaction-aware planning with dynamic agents and complex environmental constraints. Experience with Machine Learning based approaches is a significant plus.
• Full-Stack Robotics Context: Strong intuition for the entire robotics stack. You understand how upstream (Perception, Prediction) and downstream (Control, Actuation) systems impact trajectory feasibility and fleet safety.
• Production-Grade Software Development: Expertise in Modern C++ development within a Linux environment, with a focus on writing high-performance, real-time, and safety-critical code.
• Tooling Proficiency: Fluency in Python for rapid prototyping, data analysis, and visualization. Experience applying AI-augmented development workflows to large-scale Modern C++ codebases (e.g., agentic tools for multi-file refactoring, automated test generation, semantic code navigation, and code review acceleration) is strongly preferred. Experience with SQL or big-data frameworks for fleet-scale performance analysis is a significant plus.
• Influence & Clarity: Exceptional communication skills, with the ability to translate complex mathematical concepts into actionable plans for cross-functional stakeholders and executive leadership.
• Educational Foundation: Master’s or PhD in Robotics, Computer Science, Electrical/Mechanical Engineering, or a related quantitative field.
  
  

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Motional’s Las Vegas office is located less than 10 miles from the Las Vegas strip at 730 E Pilot Road and is home to one of the largest fleets of self-driving vehicles. The city’s grid system of roads and being one of America’s “smart cities” allows for extensive research and development testing.

Mission Summary:

The Director of AV Testing Operations is a senior leader responsible for shaping and executing the vision, strategy, and performance of Motional’s global test operations. Reporting to the Senior Director of Operations, this role drives the safe, reliable, and efficient operation of Motional’s AV testing and commercial fleet. This role is responsible for addressing any fleet resource bottlenecks, rapidly implementing required hardware changes and managing daily requirements of fleet systems for operational readiness. As a strategic leader, you will oversee cross-functional teams, establish scalable operational frameworks, and build strong partnerships across engineering, program management, and fleet operations. You will champion a culture of safety, accountability, and innovation while ensuring that Test Operations directly enables Motional’s roadmap toward commercialization and a driverless future.

What You’ll Be Doing:

• Strategic Leadership: Define and execute the long-term vision for Test Operations, aligning resources, people, and processes with company objectives and commercialization milestones.
• Strategic Roadmap: Define and execute the global fleet strategy, ensuring infrastructure and resources are positioned for market expansion.
• Organizational Oversight: Lead, develop, and inspire a multi-level organization of managers, supervisors, and operators across multiple test sites, ensuring growth, accountability, and performance at every level.
• Operational Excellence: Establish and refine policies, SOPs, and key performance metrics that ensure safety, efficiency, and reliability of all testing activities.
• Executive Collaboration: Partner closely with senior leaders in engineering, safety, and product to ensure seamless integration of vehicle testing into Motional’s development and deployment lifecycle.
• People Development: Build and sustain talent pipelines, mentor emerging leaders, and implement workforce strategies that support long-term growth and retention.
• Innovation & Efficiency: Champion continuous improvement by deploying new tools, technologies, and operational models that enhance scalability and cost-effectiveness.
• Cross-Functional Engagement: Represent Test Operations in executive forums, customer demos, regulatory engagements, and strategic initiatives such as new market entries and partnerships.
• Data-Driven Innovation: Integrate and utilize data driven analytics to transform fleet maintenance from reactive to proactive, enhancing overall vehicle lifecycle value.
• Regulatory Compliance: Ensure all fleet operations meet or exceed global safety standards and local regulatory requirements for autonomous vehicle deployment.
• Cultural Leadership: Drive a culture rooted in safety, accountability, and collaboration while embodying Motional’s values.
  
  

What We’re Looking For:

• 10+ years of progressive leadership experience in operations, test engineering, program management, or related technical domains, including at least 5 years in a senior leadership (Director or above) capacity.
• Demonstrated ability to thrive in ambiguity, balancing operational planning with tactical execution
• Demonstrated success leading large, distributed teams in a complex technical or R&D environment.
• Strong track record of influencing across executive leadership, building cross-functional alignment, and delivering results at scale.
• Expertise in performance management, organizational design, and workforce development.
• Proven ability to implement strategic initiatives that drive measurable improvements in safety, quality, and efficiency.
• Exceptional executive communication, public speaking, and stakeholder management skills.
• Bachelor’s degree required; advanced degree preferred (Engineering, Operations Management , or related field).
• One of the following certifications in; PMP, PgMP, CSM, ISO 9001/45001, CSM (Preferred).
• Flexibility to travel domestically up to 25%.
  
  

Bonus points (not required):

• Experience in the Autonomous Vehicle or Automotive industry.
• Familiarity with AV-specific hardware stacks (Lidar, Radar, Cameras) and calibration workflows.
• Direct experience with ISO 26262 (Functional Safety) or developing Safety Management Systems (SMS).
• Experience with DOT, NHTSA, or state-level DMV regulators.
  
  

Physical Demands & Working Environment:

This role requires the ability to interface with both office and field environments. While primarily office-based, the Director of AV Testing Operations may be present at test facilities, requiring the ability to safely operate and ride in autonomous vehicles, oversee vehicle inspections, and engage in field operations as needed. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

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

Mission Summary:

Reporting to the Senior Business Development Manager the Strategic Partner Lead, Customer Success will be responsible for identifying, building, and nurturing strategic partnerships that drive growth and expand opportunities with key commercial partners. 

This is a pivotal time to join Motional. We are transitioning from development to deployment, launching our commercial driverless service in Las Vegas in 2026. In collaboration with a major ride-hail partner, we are setting the stage to scale this technology to dozens of cities across the U.S. and internationally. This role requires a leader with a proven track record in forging successful alliances, negotiating complex agreements, and managing relationships with key stakeholders. You will serve as the "Voice of the Customer," owning the relationship at all levels of the organization, playing a critical role in shaping our commercial strategy and achieving our long-term objectives, ensuring our commercial operations translate into scalable, revenue-generating reality. 

This role will be expected to travel up to 40% of the time depending on the business purpose and partnership deliverables.

What you'll be doing:

• Own the Partner Relationship: Serve as the primary commercial owner for critical accounts, navigating complex stakeholder maps to connect internal leads with their external counterparts. You will drive account health, retention, and efficiency by ensuring the right people are connected at the right time.
• Drive Cross-Functional Alignment: Act as the operational bridge between Commercial and technical execution teams (Product, Ops, TPM). You will translate high-level commercial milestones into clear directives, ensuring workstreams converge on time for successful deployments.
• Lead Strategic Collaborations: Establish the partnership's rhythm of business, including Quarterly Business Reviews (QBRs), Steering Committees, and executive briefings. You will lead internal alignment to ensure high-stakes partner events and demos are executed flawlessly.
• Define Success & Track KPIs: Define what winning looks like for both Motional and our partners. You will track and report on key performance indicators across teams to ensure we are meeting contractual obligations and commercial goals.
• Support Market Expansion: Lead the rollout strategy for new launch markets, coordinating logistics between Operations, Strategy, technical teams and external partners. You will drive the readiness efforts required to move from pilot zones to full commercial scale.
• Create Data-Driven Feedback Loops: Translate partner insights—such as pickup/drop-off friction—into actionable engineering requests. You will close the loop between commercial reality and technical roadmaps to optimize the end-to-end passenger experience
  
  

What we're looking for:

• Bachelor's degree in Business, Engineering, or equivalent field, or commensurate professional experience.
• 7+ years relevant professional experience in a similar role, experience working with autonomous vehicles, ride-hail, robotics or mobility industries.
• Cross-Functional Leadership: You have a proven ability to coordinate complex projects across technical and non-technical teams. You can translate commercial needs into clear directives for Product and Operations.
• Executive Presence: You possess superb communication skills and can command a room. You are experienced in leading executive presentations, QBRs, and high-visibility partner visits with polish and professionalism.
• Strategic & Operational Balance: You can set the long-term vision with a partner while also sweating the details of a short term project. You understand how to align daily execution with multi-year commercial objectives.
• Analytical & Influential: You can use data to build a compelling point of view that influences internal stakeholders. You know how to advocate for the partner’s needs to shape our long-term product strategy.
• Soft skills that earn the confidence of leaders and peers, including empathy, organization, clear communication, influencing without authority, low ego, and the ability to build trust.
  
  

Bonus Points(not required):

• MBA or equivalent advanced business degree.
• Launch Experience: Experience coordinating the commercial side of a product launch in a physical market.
• Commercial Fluency: Experience supporting business development efforts, contract renewals, or opportunities.
  
  

This role is hybrid from our Boston, Pittsburgh, or Las Vegas office. It requires two in-office days each week, ideally Tuesday and Thursday.

• Follow all safety policies and procedures while operating prototype-level Autonomous Vehicles on both defined and undefined routes, including a variety of geographic and environmental conditions.
• Operate in-vehicle data recording computers, including start/stop recording, data marking, and minor debugging when issues arise.
• Provide clear, accurate, and useful subjective feedback to the engineering teams on vehicle behavior observed.
• Ensures the safe operation of our test vehicles on public roads.
• Requires some initial travel for training and collaboration with other vehicle operators.
• Completes accident and incident reports as needed.
• Able to speak sufficient English in order to converse with first responders if necessary.
• Maintains current knowledge and adherence to all Motional AD LLC operating policies, procedures, and directives.
• Arrives to work on time for scheduled shift and with proper driving credentials on his/her/their person and is ready to work.
• Maintains current knowledge and is in compliance with local, county, and state traffic laws.
• Performs pre-trip and post-trip inspection, which may include but not limited to cleanliness of the Autonomous Vehicle. This includes conducting an external/internal visual inspection of the vehicle and testing all necessary equipment, operating devices, and controls.
• Completes accident and incident reports.
• Control and manage emergency situations according to company procedures.
• Able to work in a team environment and operate AV with another person. Maintain cooperative behavior towards fellow team members, leads, supervisors, and managers.
• Requires flexibility in work schedule.
• Operate in-vehicle data recording computers, including start/stop recording, data annotations, and minor debugging when issues arise. Provide feedback to engineering teams gathered from testing.
• Utilize JIRA/Confluence software to execute testing tickets and document historical data findings to a global audience.
• Able to deploy and troubleshoot AV’s.
• Control and manage emergency situations according to company procedures.
• Additional duties as assigned.
  
  

• Candidates must have and maintain a clean driving record for the previous 3 years, no DUIs for previous 10 years, and never be at fault in an accident that resulted in injury to any person.
• Prior experience as an Operator/Driver for Autonomous Vehicles is preferred, or some type of internal or external training on Autonomous Vehicle technology.
• Experience and training on providing subjective feedback on vehicle behaviors and environment.
• Must be able to successfully complete in-house driving course/examination.
• Local knowledge in the test city of streets, geography, and environmental features that may be challenging for Autonomous Vehicles.
• Basic knowledge of how to navigate through a smartphone using applications to complete job duties.
• High school diploma or equivalency.
• Able to work days, nights, and weekends at any time.
• Must be able to use company communication systems and communicate clearly and effectively both written and verbally.
• Must be able to read a map and possess knowledge of the local area.
• Must maintain a professional appearance.
• At least ten (10) years total driving experience.
• Utilize JIRA/Confluence software to execute testing tickets and document historical data findings to a global audience.
  
  

• Basic understanding of technical software that may include; Linux, Atlassian Confluence, Jira, Gitlab, and Python.
• If you currently do not meet all qualifications, or are currently working to obtain qualifying credentials, still submit your application for review.
• Data Analysis experience.
• 6 Months of NHTSA levels 2-5 Autonomous vehicle experience.
  
  

• Ability to pass a DOT exam.
• Able to be in a confined seated position to operate a vehicle for up to four (4) hours at a time for a total of up to ten (10) hours per day.
• Able to stay awake and alert on shift at all times.
  
  

Mission Summary:

The Autonomous Vehicle (AV) Test Engineering team at Motional is responsible for validating the safety, functionality, and performance of our self-driving technology through rigorous, system-level testing. As an AV Test Engineer, you will take a lead role in the strategy, planning, and execution of comprehensive test campaigns that span perception, planning, and control systems across virtual, closed-course, and public road environments.

Motional is seeking a highly skilled and motivated Senior/Mid-Level AV Test Engineer to join our AV Test Engineering team. You will play a lead role in validating the safety, functionality, and performance of our self-driving technology through rigorous, system-level testing across virtual, closed-course, and public road environments, with a direct focus on commercial readiness of our robotaxi service.

This role requires a proven technical leader who can guide test development, drive continuous improvements to our infrastructure, and ensure high standards for release readiness and safety assurance as we move towards mass deployment.

What you'll work on:

• Own the planning, design, and execution of comprehensive validation campaigns across Perception, Planning, and Control systems using simulation, SIL, HIL, and on-vehicle environments, specifically targeting scenarios critical for robotaxi service reliability and rider experience.
• Drive test execution and documentation to meet the highest standards, ensuring system compliance with safety-critical standards (ISO26262, ISO21448 (SOTIF)), with an emphasis on Operational Design Domain (ODD) limits and safe fallback behavior.
• Develop, maintain, and enhance robust, scalable test infrastructure and automation frameworks using Python, Shell, and relevant platforms to support high-volume, fleet-wide software rollouts.
• Serve as a technical lead for scenario-based testing (using tools like Applied Intuition) and AV capability campaigns, focusing on testing for end-to-end mission performance and service uptime.
• Service Readiness Validation:
  • Design and execute testing for non-driving features critical to the commercial service, including rider interactions, remote assistance handoffs, fleet operations protocols, and over-the-air (OTA) update verification.
  • Define and track Service Quality Indicators (SQI) and KPIs related to rider experience and operational efficiency during validation.
• Conduct detailed log analysis, support root-cause investigations across AV software and hardware, and utilize CAN-based tools for subsystem verification, particularly diagnosing issues impacting fleet efficiency and customer satisfaction.
• Lead QA review cycles, define release readiness gates for commercial software, represent Test Engineering in cross-functional forums, and mentor junior engineers.

What we're looking for:

• 5+ years in software QA or system testing, specifically within AV, ADAS, robotics, or safety-critical systems.
• Bachelor’s degree or higher in Engineering, Robotics, ECE, Computer Science, or a related technical field.
• Technical Expertise:
• Demonstrated expertise in test strategy, automation, and end-to-end testing for complex mechatronic/autonomous systems.
• Experience planning and executing tests in a simulated environment, both HIL and SIL
• Experience with CI/CD pipelines and integrating quality gates for production-grade software releases.
• Proven ability to lead technical efforts, mentor, operate with minimal oversight, and drive cross-functional alignment with teams like Fleet Operations and Product.

Bonus points:

• Master’s degree in a relevant field.
• Deep familiarity with CAN-based tools (CANalyzer/CANoe) and logging/debugging techniques.
• Working knowledge of industry safety standards (ISO26262, SOTIF).
• Familiarity with AV safety case development or safety validation workflows.
• Experience with robotaxi service features (e.g., in-cabin HMI testing, rider support systems).
• Experience with ROS, cloud telemetry systems, or AV data pipelines.
• Experience in a cross-site or global engineering organization.

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.

Mission Summary:

The Autonomous Vehicle (AV) Test Engineering team at Motional is responsible for validating the safety, functionality, and performance of our self-driving technology through rigorous, system-level testing. As a Senior AV Test Engineer, you will take a lead role in the strategy, planning, and execution of comprehensive test campaigns that span perception, planning, and control systems across virtual, closed-course, and public road environments.

In this role, you will guide test development efforts across multiple AV subsystems, mentor junior engineers, and drive improvements to our tooling, test infrastructure, and methodologies. You will lead cross-functional initiatives that directly impact release readiness and safety assurance, translating high-level engineering requirements into scalable test plans and measurable quality outcomes. Your work will contribute to iterative development, fault injection analysis, and validation of safety-critical systems that meet the highest standards for reliability and compliance.

Essential Duties:

Technical Leadership & Validation:

• Lead the planning, design, and execution of validation campaigns across simulation, SIL, HIL, and on-vehicle environments, with a focus on perception, planning, and control systems.
• Serve as the technical lead for scenario-based testing, utilizing platforms like Applied Intuition or equivalents for synthetic and re-simulation use cases.
• Lead AV capability campaigns, employing AB Dynamics equipment for system-level validation and performance benchmarking.
• Own the creation and execution of test plans for complex mechatronic and software systems, including drive-by-wire (DBW), braking, steering, and system integrations.

Test Infrastructure & Analysis:

• Develop and maintain robust test infrastructure using Python, Shell, and automation frameworks, ensuring modular, reusable, and scalable test architecture.
• Conduct detailed analysis of logs and system behavior, supporting root-cause investigations across AV software and hardware components.
  
  

Quality Assurance & Compliance:

• Participate in and lead QA review cycles, helping to define entry/exit criteria, regression coverage, and release readiness gates.
• Ensure traceability and compliance by documenting procedures, results, and outcomes using Jira, GitLab, and Confluence.
• Contribute to compliance with safety-critical standards such as ISO26262, ISO21448 (SOTIF), and ISO9001.
  
  

Collaboration & Mentorship:

• Represent the Test Engineering function in cross-functional planning meetings, collaborating closely with perception, planning, controls, and safety teams.
• Mentor and support junior Test Engineers, providing technical guidance and fostering a culture of continuous learning and improvement.
  
  

Strategic Adaptation & Support:

• Continuously adapt and optimize test strategies in response to evolving product requirements, architectural shifts, and real-world findings.
• Support after-hours testing or incident triage as needed by fleet or field operations.
• Travel domestically on occasion to support on-site testing or operational deployments.
• Perform additional duties as assigned.

Required Qualifications:

• Bachelor's degree or higher in Engineering, Robotics, ECE, Computer Science, or a related technical field.
• 5+ years of experience in software QA or system testing, including AV, ADAS, robotics, or safety-critical systems.
• Demonstrated expertise in test strategy, test case development, test execution, and automation for complex mechatronic or autonomous systems.
• Experience leading end-to-end testing across software stacks and physical systems, including SIL, HIL, and real-world deployments.
• Strong analytical skills with proficiency in debugging, log parsing, and root cause analysis.
• Excellent verbal and written communication skills, with the ability to drive cross-functional alignment and effectively report technical findings.
• Proven ability to lead technical efforts, mentor junior engineers, and operate with minimal oversight.
• High level of initiative, ownership, and accountability in a fast-paced, startup-style engineering environment.
• Flexible schedule and willingness to support late meetings, night shifts, or urgent test activities as required.

Preferred:

• Master’s degree in a relevant field.
• Deep familiarity with CAN-based tools (CANalyzer, CANoe) for fault injection, bus analysis, and subsystem verification.
• Working knowledge of industry standards for safety-critical systems such as ISO26262, ISO21448 (SOTIF), and ISO9001.
• Familiarity with AV safety case development or safety validation workflows.
• Experience with robotic middleware (e.g., ROS), cloud telemetry systems, or AV data pipelines.
• Experience in a cross-site or global engineering organization.
  
  

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.

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 Senior Machine Learning Engineer on the Data Mining team, your mission is to build the "Brain" of this engine: designing massive multimodal Teacher models that understand the world, and distilling them into hyper-efficient Student models that can scour exabytes of data in near real-time. You will work at the intersection of large-scale representation learning, retrieval optimization, and reasoning systems. Your work will directly influence how we compress knowledge into efficient encoders for fast search, and how we apply reinforcement learning to optimize data discovery workflows and intelligent querying. By building smarter mining tools, you will accelerate the entire model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation.

What You'll Do:

• Architect and Train Distilled Models: Design and implement teacher-student model frameworks for multimodal sensor data. Develop training pipelines for knowledge distillation. Ensure student models maintain high accuracy while drastically reducing inference latency and memory footprint.
• Reinforcement Learning for Data Discover: Build RL-based policy learning and reasoning systems for autonomous driving applications. Implement and scale RL training workflows (e.g., PPO, DQN, actor-critic methods) for simulation and real-world interaction. Explore reward shaping, environment modeling, and multi-agent RL where applicable.
• Optimize Model Deployment for Real-Time Inference: Collaborate with backend engineers to deploy distilled and RL models into production. Optimize for latency, throughput, and hardware efficiency across GPU/CPU clusters. Implement model versioning, A/B testing, and monitoring for performance regressions.
• Research and Integrate Agentic Systems: Explore and prototype agentic workflows for autonomous reasoning, chain-of-thought prompting, and goal-directed behavior. Integrate such systems into our broader autonomy stack as experimental or production components.
• Drive Production Reliability: Establish patterns for graceful degradation, fault tolerance, and cost optimization. Operate Omnitag as a mission-critical data platform serving the entire ML organization, with a focus on reliability, debuggability, and operational excellence.
• Mentor and Collaborate: Work closely with ML scientists, data engineers, and autonomy teams to translate research advances into scalable engineering solutions. Guide junior engineers in best practices for model training, evaluation, and deployment.

What We're Looking For:

• BS in Computer Science, Machine Learning, or related field, or equivalent professional experience.
• 6+ years of hands-on experience in machine learning engineering, with a focus on model post training, optimization, and deployment.
• Strong experience with model distillation or teacher-student training - practical knowledge of loss functions, training strategies, and evaluation of compressed models.
• Proven experience with reinforcement learning in production or research settings: policy optimization, reward design, simulation environments, and RL-based reasoning.
• Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX).
• Strong software engineering fundamentals: testing, CI/CD, containerization, and system design.
• Experience deploying ML models in cloud environments (AWS, GCP, or Azure) and optimizing for inference.
• Demonstrated ability to ship production-grade ML systems and mentor team members.
• Demonstrated track record of shipping robust, well-tested, production-grade systems and mentoring junior engineers

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.
• Publications or open-source contributions in RL, distillation, or efficient ML.
  
  

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 Las Vegas office is located less than 10 miles from the Las Vegas strip at 730 E Pilot Road and is home to one of the largest fleets of self-driving vehicles. The city’s grid system of roads and being one of America’s “smart cities” allows for extensive research and development testing.

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

Mission Summary:

Join us on the ground floor as we launch our commercial Autonomous Vehicle (AV) ride service. We are looking for a mission-driven Senior Software Engineer to join our Command Center team. You will be the vital link between our real-world AV operations and our core development team, ensuring our vehicles run smoothly and our technology rapidly evolves.

What will you be doing:

AV operations integration & support

• Act as the primary engineering presence at the Las Vegas AV operation center, providing real-time technical support and troubleshooting to ensure daily mission success.
• Resolve production incidents to reduce downtime and strengthen feedback loops between on-road operations and global engineering teams.
• Become the go-to technical expert, surfacing operational insights that influence our product roadmap and support commercial launch readiness.

Command Center feature development

• Design and develop software tools that enhance AV fleet operations, including cloud platform, over-the-air deployment, and fleet management systems.
• Build and maintain foundational technologies including ride-hail partner integration and the global scaling of the autonomous vehicle service.
• Collaborate cross-functionally to deliver scalable, efficient solutions aligned with both engineering and operational requirements.

What we're looking for:

• 5+ years of professional experience as a software engineer, with a proven track record of designing and building distributed systems.
• Strong Product Mindset: You focus on real-world impact. You can identify bottlenecks within a busy operational workflow and design software solutions that bring order and efficiency.
• Experience supporting production systems with a customer-centric mindset and strong communication skills.
• Experience working independently and collaborating effectively with a globally distributed team across different time zones.
• Proficiency in Golang / Python for web service and scripting.
• Experience building cloud services using SQL and NoSQL databases.
• Comfortable working in a fast-paced, continuous delivery environment.
• A Bachelor's or Master's in Computer Science, Engineering, or a related field (or equivalent practical experience).

Bonus Points (not required):

• Experience with Amazon Web Services (AWS), Docker, and Terraform.
• Experience with OLAP databases (e.g., ClickHouse) or building observability tools for monitoring and tracing.
• Previous experience in the Autonomous Vehicle (AV), Robotics, or IoT industries.

Motional’s Las Vegas office is located less than 10 miles from the Las Vegas strip at 730 E Pilot Road and is home to one of the largest fleets of self-driving vehicles. The city’s grid system of roads and being one of America’s “smart cities” allows for extensive research and development testing.

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

Mission Summary:

Join us as a key technical leader in Las Vegas as we launch our commercial Autonomous Vehicle (AV) ride service. We are seeking a Staff Software Engineer with a strong product mindset to bridge the gap between our Operations partners and our global Engineering team. You will lead the development of critical operational tools—like fleet management and orchestration systems—while shaping the roadmap to ensure our technology meets real-world needs.

What You'll Be Doing:

Hands-on Development & Leadership

• Build High-Impact Ops Tools: Lead the coding and delivery of frontend and backend services that the Operations team uses daily to monitor and manage the fleet. You will balance long-term scalability with the need for immediate operational solutions.
• Act as the primary engineering presence at the Las Vegas AV operation center, providing real-time technical support and troubleshooting to ensure daily mission success.
• You will interview and onboard future hires, mentor junior engineers, and define the workflows (handovers, async communication, documentation standards) that enable seamless collaboration between Las Vegas and Singapore.

Product Engineering & Stakeholder Alignment

• Own the "Ops-to-Tech" Bridge: Partner deep with Operations, Product, and TPMs to translate complex, real-world fleet challenges into clear, actionable technical requirements for the global engineering team.
• Shape the Tooling Roadmap: Drive the vision for our fleet management and orchestration systems. You won't just build tickets; you will identify the right problems to solve to increase fleet efficiency and reduce manual toil.
• Feedback Loop Architect: Design processes and features that turn qualitative operational feedback into quantitative data, helping the global team prioritize platform improvements.

What We're Looking For:

• 8+ years of professional experience as a software engineer, with a proven track record of designing and building distributed systems.
• Strong "Product" Mindset: You are obsessed with value. You can look at a chaotic operational floor and architect a software solution that brings order and efficiency.
• Experience supporting production systems with a customer-centric mindset and strong communication skills.
• Ability to manage stakeholders (Ops, Product) and communicate effectively with a remote engineering team to get things done without owning the entire stack.
• Proficiency in Golang / Python for web service and scripting.
• Experience building cloud services using SQL and NoSQL databases.
• A Bachelor's or Master's in Computer Science, Engineering, or a related field (or equivalent practical experience).

Bonus Points (not required): 

• Experience with Amazon Web Services (AWS), Docker, and Terraform.
• Experience with OLAP databases (e.g., ClickHouse) or building observability tools for monitoring and tracing.
• Previous experience in the Autonomous Vehicle (AV), Robotics, or IoT industries.

Role Summary: 

As a Senior Staff Product Manager, you will play a pivotal role in translating Amperesand’s platform vision into tangible product features that enable next-generation grid-interactive power systems. You’ll be responsible for defining and managing the delivery of differentiated inverter platform capabilities that support next generation high density DC power architectures for data centers.  This role blends market insight, technical acumen, and customer empathy to prioritize features that offer meaningful impact and revenue potential. You will work closely with engineering, firmware, and commercial teams to define product strategy, drive technical execution, and enable successful go-to-market outcomes. 

If you're passionate about building impactful, value-centric products and excited about building transformational products at the intersection of electrification, grid modernization, and digital control—this is your opportunity to lead and we want to hear from you! 

Responsibilities: 

• Own the product roadmap for medium-voltage inverter and SST platforms enabling medium voltage and ±800 V DC distribution inside data-center campuses. 

• Quantify ROI for customers through PUE/WUE improvements, power-density gains, and CapEx vs OpEx trade-offs. 

• Establish technology partnerships to maximize SST impact on customer value and to shorten deployment time and enhance reliability. 

• Engage directly with hyperscalers, colocation providers, and data-center design-build firms to define performance metrics for uptime, energy density, and fault containment. 

• Translate customer site designs into scalable product configurations that integrate grid, genset, and storage assets. 

• Monitor global data-center power trends (AI rack loads, liquid cooling, regional grid codes, carbon-free procurement) and feed insights into roadmap decisions. 

• Ensure electrical, thermal, and firmware designs meet Tier III/IV reliability targets and IEC/IEEE compliance (IEC 61850, 62477, 60364-7-716, IEEE 1547, UL 1741-SB). 

• Align power-electronics, embedded-firmware, EMS, and mechanical teams around unified release plans. 

• Collaborate with manufacturing and supply-chain to ensure cost, scalability, and manufacturability targets are met. 

• Partner with sales and applications engineering to generate customer proposals, value models, and technical collateral demonstrating differentiation versus legacy UPS/transformer systems. 

• Build quantitative business cases for each platform variant including gross-margin modeling and total-cost-of-ownership analysis. 

• Conduct competitive benchmarking versus central inverter, rotary UPS, and lithium-ion BESS suppliers. 

• Identify regulatory and incentive frameworks (energy-storage credits, grid-support revenue streams) that influence pricing strategy and product adoption. 

Qualifications:

• 10+ years in product or technical leadership within data-center power 

• Strong grounding in MV AC/DC architectures, grid interconnection, redundancy schemes, and fault protection 

• Understanding of MV system behavior, grid interaction, and fault protection. 

• Energy Storage & EMS Familiarity: Experience with hybrid systems and integration of batteries or EMS solutions. 

• Experience building business cases and customer ROI models for infrastructure or capital-equipment sales  

• Proven ability to work with engineers, firmware developers, and system architects to deliver complex hardware-software products. 

• Exposure to AI data-center designs, energy-management systems, or hybrid-grid microgrids  

• BSEE required; MSEE or MBA preferred 

Technical Skills: 

• Power Electronics & Inverter Systems: Deep understanding of bidirectional inverter design, and grid-supportive functionalities (e.g., reactive power, anti-islanding, grid-forming). 

• Medium Voltage Systems: Familiarity with MV infrastructure (e.g., 22kV systems), grounding/fault protection, switchgear, and interconnection requirements. 

• Hybrid Energy Systems: Experience integrating energy storage systems (ESS), EMS platforms, and managing charge/discharge optimization. 

• Firmware Collaboration: Ability to co-develop feature sets with embedded systems teams, particularly around real-time control loops, black start logic, and remote diagnostics. 

• Standards & Regulatory Knowledge: Working knowledge of IEEE 1547, UL 1741-SB, IEC 61850, NEC 705/710/480/490, and grid interconnection frameworks. 

• System Modeling & Specification: Capable of writing clear, technically detailed product requirements including control architecture, communication protocols, and I/O definitions. 

• Data-Driven Prioritization: Comfortable with tradeoff decisions using customer value, technical feasibility, and time-to-market drivers. 

Bonus Qualifications: 

• Energy Sector Knowledge: Experience working on projects related to smart grids, renewable energy, or energy management platforms is a plus. 

Please note: This role requires working on-site 5 days a week. We do not offer hybrid or remote options. 

Responsibilities:  

• Identify and evaluate global suppliers; negotiate and execute contracts with strategic partners to secure high-quality materials at competitive prices 

• Drive total cost optimization (base cost, tariffs, transportation, quality, lead time) in close collaboration with internal and external stakeholders 

• Analyze market trends, lead times, and material risks to ensure build readiness and minimize production disruptions through appropriate risk-buy strategies 

• Develop and execute an international logistics strategy—including routing guides, shipping mode selection, and customs clearance processes 

• Build tools and processes to provide visibility into sourcing, material readiness, cost impact, cost reduction opportunities, risk analysis, and supplier performance 

• Track and report on KPIs including cost, delivery times, inventory turnover, and supplier performance 

• Collaborate cross-functionally with engineering, NPI, operations, and leadership to align supply chain strategy with business objectives 

Qualifications:   

• Bachelor's degree in supply chain, engineering, logistics, business, or a related field (Master's preferred); experience sourcing electrical power products is a strong plus 

• 3+ years of combined experience in supply chain, program management, or engineering, with demonstrated ability to manage multiple complex projects simultaneously 

• Background in new technology or NPI-stage supply chain, ideally in a startup environment 

• Experience working with electrical systems, power electronics, or similar hardware in a manufacturing or production context 

• Exceptional communication and negotiation skills—written, verbal, and visual 

• Proven ability to lead cross-functional teams and manage projects across organizational lines 

• Ability to prioritize effectively under pressure and adapt quickly to change 

• Willingness to travel up to 20%, including internationally 

Please note: This role requires working on-site 5 days a week. We do not offer hybrid or remote options.  

Base Salary: $160,000-$185,000/annual DOE and location

Role Summary

We are seeking a Senior Technical Program Manager, Mechanical, to lead complex programs involving mechanical systems and hardware development from concept through production. This role requires driving cross functional execution across mechanical engineering, electrical engineering, firmware and software, product, supply chain, quality, manufacturing, and system integration teams.

You will own program scope, schedules, risk management, and delivery quality across multi phase hardware development roadmaps, ensuring successful execution through design, validation, and production launch.

Responsibilities

• Oversee program scope, schedules, and resource planning for mechanical engineering initiatives, ensuring deliverables meet timeline, quality, cost, and performance expectations.
• Drive execution across the full hardware development lifecycle, including concept development, design reviews, prototype builds, design verification, validation, qualification, and production readiness.
• Coordinate mechanical development milestones, including requirements definition, CAD release, drawing release, DFM reviews, tolerance analysis, prototype builds, tooling readiness, and engineering change management.
• Drive program planning and milestone tracking for mechanical system integration, component readiness, design maturity, and manufacturing readiness.
• Identify and mitigate risks related to mechanical design, supplier readiness, tooling, long lead materials, production constraints, and cross functional dependencies.
• Partner with engineering and product teams to define program requirements, development roadmaps, and success metrics aligned with business goals.
• Coordinate with supply chain and manufacturing teams to support sourcing readiness, vendor qualification, production planning, and clear to build milestones.
• Support design validation and qualification activities by partnering with engineering and quality teams on test planning, failure analysis, corrective actions, and issue resolution.
• Monitor program costs, resource needs, and schedule risks, identifying opportunities for efficiency, cost optimization, and improved execution.
• Improve program management processes, tools, and best practices specific to hardware and mechanical development to enhance scalability, predictability, and transparency.
• Communicate program status, critical issues, risks, and milestones to executive leadership and cross functional stakeholders.
• Lead collaboration across mechanical engineering, electrical engineering, supply chain, manufacturing, quality, product management, and system integration teams.

Qualifications

• Bachelor’s degree in Mechanical Engineering or related technical field, or equivalent practical experience.
• 5+ years of experience in technical program management or engineering leadership, with strong focus on mechanical systems, hardware products, or manufacturing driven development.
• Proven success managing complex hardware programs involving multiple teams, schedules, dependencies, and technical disciplines.
• Strong understanding of product development processes, phase gate development, and mechanical engineering workflows from concept through production.
• Experience working within engineering organizations developing electromechanical products, assemblies, or hardware systems.
• Strong understanding of mechanical design principles, DFM/DFA, tolerance analysis, design validation, and manufacturing readiness.
• Experience managing supplier and sourcing dependencies, tooling schedules, long lead materials, and production launch readiness.
• Strong leadership and organizational skills with the ability to influence across teams and functions.
• Excellent written and verbal communication skills.
• Comfortable operating in fast paced environments with shifting priorities.
• Experience with Jira, Confluence, project schedules, and structured development frameworks.
• Preferred experience with PLM systems, CAD collaboration tools, manufacturing processes, and prototype build management.
• Willingness to travel up to 20%, including international travel.

Preferred Tools & Platform Exposure

Planning & Collaboration
• Jira
• Confluence
• Project schedules
• Phase gate tracking

Product Development & Change Management
• PLM systems
• ECO/ECN workflows
• Requirements tracking

Mechanical Design Collaboration
• CAD tools such as SolidWorks, Creo, or NX
• Drawing release processes
• Tolerance stack up reviews

Manufacturing & Supply Chain
• DFM/DFA reviews
• Tooling readiness
• Supplier qualification
• Clear to build planning

Validation & Quality
• DV/PV planning
• FMEA
• Root cause analysis
• Qualification testing

Hardware Systems Context
• Electromechanical systems
• Structural components
• Thermal and mechanical integration
• Prototype and production builds

Please note: This role requires working on site 5 days per week. Hybrid and remote work options are not available.

Role Summary 

This role is an opportunity to work with a high-agency startup team operating in the hard-tech and energy systems space. You will play a critical role in designing, building, and scaling the backend systems that power Amperesand’s factory software and interacting with ERP, analytics, and operational software platforms. 

This is a hands-on role. You will architect and deliver production-grade backend services that support high-concurrency, high-availability workloads across manufacturing, supply chain, and enterprise operations. The role requires close collaboration with frontend, product, AI, and domain expert teams — along with a strong sense of ownership, systems thinking, and pragmatism in building reliable software for real-world operations. 

Responsibilities

• Own the design, architecture, and implementation of backend systems for Amperesand’s factory software and interactions with ERP, analytics, and operational platforms. 

• Build and scale high-concurrency, high-availability services in Go to support mission-critical manufacturing and business workflows.  

• Design robust APIs, service interfaces, and data models that enable frontend applications, analytics systems, and internal tools.  

• Develop backend capabilities for workflow orchestration, machine and system integrations, telemetry ingestion, operational event processing, and reporting.  

• Build distributed systems that are reliable, observable, and resilient under production load.  

• Optimize backend performance across service latency, throughput, data access patterns, and system resource utilization.  

• Collaborate closely with frontend, product, and domain teams to translate operational requirements into scalable backend architectures.  

• Drive best practices for service reliability, fault tolerance, testing, deployment, and maintainability.  

• Contribute to technical strategy and architecture decisions across backend, infrastructure, and platform layers.  

• Mentor other engineers through code reviews, design reviews, and strong engineering standards.  

• Leverage AI-assisted development tools where useful to improve engineering velocity, code quality, and developer productivity.  

•  Document service designs, architecture decisions, and tradeoffs for cross-functional stakeholders. 

Qualifications

• 7+ years of experience in backend or distributed systems engineering, including production deployments in scalable environments.  

• Strong experience with Go and building production backend services.  

• Proven experience designing systems for high concurrency, high availability, and fault tolerance.  

• Experience building backend platforms for operational systems such as MES, ERP, analytics, workflow engines, or other enterprise/business-critical software.  

• Strong understanding of API design, microservices, distributed system patterns, and asynchronous/event-driven architectures.  

• Experience with databases and data systems such as PostgreSQL, Redis, MQTT, NATS, ClickHouse, or similar technologies.  

• Familiarity with real-time data processing, telemetry pipelines, and backend systems that support dashboards, reporting, and analytics.  

• Experience with observability and production operations, including logging, metrics, tracing, alerting, and incident debugging.  

• Familiarity with cloud infrastructure and containerized deployment environments such as AWS, Kubernetes, and Docker.  

• Strong testing discipline across unit, integration, and end-to-end service validation.  

• Comfortable working with AI coding tools such as Copilot, Cursor, Claude, or similar tools to supplement and accelerate development.  

• Proficiency in English and ability to communicate effectively with wider teams.  

• Ability to travel up to 20%, including international 

• Ability to walk or tour through the factory to test the software 

Bonus Qualifications

• Background in energy engineering systems (power systems, energy storage, power electronics, or controls). 

• Experience in manufacturing, industrial automation, supply chain, energy systems, or other operational technology domains 

• Experience designing systems that integrate with machines, PLCs, IoT devices, or external enterprise platforms. 

• Experience with MES, digital twins, or asset health monitoring. 

• Open-source contributions to backend projects. 

• Experience working within or building design systems.  

• Experience building backend platforms that support AI-enabled workflows, data capture, or operational intelligence systems.  

• Familiarity with CI/CD workflows and software DevOps practices. 

• Experience working with hardware, firmware, or operations teams. 

Please note: This role requires working on-site 5 days a week. We do not offer hybrid or remote options. 

Responsibilities: 

• Lead the industrialization of new suppliers and products, ensuring a smooth transition from development to volume production. 

• Serve as the primary company representative at supplier sites, overseeing manufacturing and production activities while supporting our teams globally in driving our development & production goals.  

• Support and monitor all supplier quality initiatives to ensure compliance with company standards. 

• Collaborate with suppliers to implement and maintain quality testing procedures, ensuring components meet technical and performance requirements. 

• Act as the liaison between suppliers and cross-functional teams in Singapore and the U.S., facilitating material readiness, engineering design alignment, and seamless communication. 

• Identify, evaluate, and onboard global suppliers and establish strategic partnerships to secure high-quality materials and components that meet production requirements 

• Collaborate with engineering, manufacturing, quality, and supply chain teams to ensure supplier readiness and alignment with technical specifications, cost targets, and production timelines. 

• Monitor and control material inventory levels at suppliers to support ramp-up schedules and reduce material shortages. 

• Analyze supplier capabilities, lead times, design for manufacturing support, and potential risks to develop mitigation strategies that prevent production disruptions. 

• Support and optimize logistics for new suppliers and products, including transportation planning and customs requirements. 

• Support the Supply Chain team in defining and monitoring KPIs such as supplier performance, delivery timelines, quality metrics, and ramp-up success to identify areas for process improvement. 

• Partner with cross-functional teams and leadership to align supplier industrialization activities with overall business objectives and production forecasts. 

Qualifications:  

• Bachelor's degree in an engineering related field.  A master's degree is preferred.  Ideally someone with experience working on electrical power products.  

• 8+ years' experience in a mix of engineering, program management & supply chain fields with evidence showing an exceptional ability to manage multiple complex projects simultaneously.  

• Proven experience working in an organization focused on new technologies, the NPI process, and in a startup environment.  Ideally someone that has experience developing supplier capabilities.  

• Strong knowledge of international trade regulations and customs processes.  

• Demonstrated ability to work and lead cross functionally by managing teams / projects. 

• Exceptionally strong communication skills that demonstrate an ability to communicate visually, verbally, and in writing.  

• Experience working with engineering teams focused on electrical systems, power electronics, or other similar products in a manufacturing / production environment. 

• Ability to work well under pressure while simultaneously managing competing priorities, challenges, and risks.  Effective response to adapting to competing priorities, risks, and program changes as needed and quickly.  

• Willingness and ability to travel up to 50% including internationally 

Please note: This role requires working on-site 5 days a week. We do not offer hybrid or remote options. 

Salary: $145,000-$165,000 annual

Role Summary 

As Manager, Supplier Industrialization, you will build and lead Amperesand’s global SIE function, owning the strategy, processes, and team that bring new suppliers from development into volume production. 

Responsibilities 

Team Leadership 

• Hire, develop, and manage a globally distributed team of Supplier Industrialization Engineers  

• Set priorities and performance expectations, provide coaching and clear growth paths for direct reports  

Strategy and Process 

• Own the global supplier industrialization roadmap, aligning supplier onboarding and ramp milestones to NPI timelines and production forecasts  

• Define and standardize playbooks, tools, and processes across the full supplier lifecycle, from qualification through volume ramp  

• Partner with Supply Chain, Engineering, and Manufacturing leadership to keep supplier readiness aligned with technical requirements and delivery commitments  

Supplier Development and Quality 

• Serve as the senior escalation point for complex supplier issues, engage supplier leadership when management level involvement is needed  

• Oversee supplier quality across the portfolio and drive systemic corrective action for escapes or delivery disruptions  

Cross Functional and Program Management 

• Bridge global suppliers and internal Engineering, Manufacturing, and Supply Chain teams on design alignment, material readiness, and DFM feedback  

• Maintain portfolio level risk visibility, own global KPI reporting for the SIE function including OTD, first pass yield, and ramp attainment  

• Provide regular program updates and escalations to Supply Chain leadership  

Qualifications 

• Bachelor’s degree in Engineering or related field, Master’s preferred  

• Electrical, mechanical, or manufacturing background strongly preferred  

• 10 plus years across engineering, supply chain, and or program management, with 3 plus years in a people management role  

• Demonstrated success leading supplier industrialization or supplier development in hardware manufacturing, power electronics, energy, or adjacent capital equipment preferred  

• Track record hiring and developing high performing technical teams in NPI heavy or startup environments  

• Experience managing globally distributed supplier portfolios across multiple geographies and time zones  

• Working knowledge of international trade regulations and export compliance for electronics and electrical equipment  

• Strong communication skills across technical and business audiences, able to work effectively across cultures