We are seeking a strategic and data-driven People Business Partner role to partner closely with leaders across corporate functions and site-based operational teams in support of a high performing, highly distributed healthcare services organization. This role will act as a trusted advisor, aligning people strategies with business priorities to support growth, scalability, and performance across the organization. Operating in a high-growth, M&A driven environment, this role requires a strong balance of strategic thinking and hands-on execution. The People Business Partner will play a key role driving organizational effectiveness, enabling leadership and supporting change initiatives while fostering a high-performing, mission-driven culture. This individual must be comfortable pivoting between both a strategic and hands-on level of engagement, with a strong focus on change and performance management,
talent/leadership development, organizational design, employee relations and integration.

Key Responsibilities

Strategic Business Partnership
● Serve as a trusted advisor, coach and thought partner to department, team and operational leaders, providing guidance on organizational strategy, workforce planning, employee relations issues and talent implications of business decisions
● Translate business priorities into actionable HR strategies that drive growth, scalability, and operational excellence to enable a high performing and engaged workforce.
● Develop a deep understanding of IH business units, financial drivers, and market industry dynamics to proactively shape people initiatives that help transform the business as we grow and scale our infrastructure.
● Serve as a strategic liaison and advisor between the business and People Team Center of Excellence’s (COE) to align HR service delivery with business priorities
● Identify opportunities to implement data-informed people strategies that strengthen organizational health, culture and maturity while directly impacting leadership effectiveness and team performance
● Lead workforce planning with business partners, anticipating skills and capabilities needed to scale the organization beyond current state – develop plans in conjunction with TA to identify talent profiles and succession bench ready for promotion to increased level of scope and responsibility

Talent and Performance Management
● Drive talent and performance management processes that reinforce accountability, ownership and high standards of behaviors / values alignment to support our high-performance culture
● Partner with leaders on succession planning, leadership development, compensation strategies and retention initiatives across the enterprise
● Use data and insights to inform talent decisions and effectively balance business needs with employee advocacy
● Coach and develop leaders to engage, motivate and lead high performing teams, identifying least effective performance and partnering with team leaders to address performance issues early on.

Change Management and Culture
● Lead change management efforts across our growing and evolving teams/structures to support effective communication, accountability and alignment to our strategic priorities
● Champion a culture of innovation, collaboration, and continuous improvement aligned with Iterative Health’s mission
● Support leaders in navigating ambiguity and leading through transformational change as an organization, providing insights and serving as a “thought partner” on operational and people challenges that dynamic growth brings.

Employee Relations and Coaching
● Provide expert coaching on employee relations, leadership effectiveness, and team dynamics to enable a highly engaged, productive workforce while maintaining consistency and alignment to IH policies and procedures.
● Support positive culture building initiatives and drive employee engagement initiatives with team leaders to build highly engaged, motivated team members.
● Ensure compliance with employment laws and company policies – identify opportunities to improve, create and implement policies and procedures that balance business needs with operational realities M&A

HR Integration
● Partner with internal stakeholders including People COE’s on due diligence, integration planning, and execution as part of pre and post-acquisition integration process
● Support organizational design, talent assessment, and cultural integration efforts to ensure seamless onboarding of acquired entities and team members to IH
● Anticipate, identify and mitigate people-related risks associated with rapid growth and change, including supporting HR initiatives focused on harmonization of system, processes and policies across the growing enterprise.

HR Program Execution
● Partner with COE to deliver best-in-class HR transformational initiatives to support a growing and scaling workforce
● Own HR projects in support of strategic HR agenda focused on employee engagement, leadership development, performance management, and operationalizing best in class people initiatives and infrastructure that will attract, develop and retain talent.

Qualifications
● 7–10+ years of progressive HR experience, including working in a fast-scaling, high-growth, complex and ambiguous start-up environment
● Experience in healthcare, clinical research, medtech, life sciences, or related industries strongly preferred
● Experience supporting a highly distributed, growing multi-site location network both domestically and globally is strongly preferred
● Demonstrated experience across a wide range of HR functional domains
● Strong business acumen with the ability to link HR strategy to financial and operational outcomes
● Proven ability to communicate and influence senior leaders as well as operate as a strategic partner, understanding the operational and strategic priorities of the business and how people strategies can make an impact
● Experience in organizational design, change management, and talent strategy
● Data-driven, analytical mindset with comfort leveraging data and analytics to inform decisions
● Excellent communication, coaching, and stakeholder management skills
● Comfort navigating through ambiguity and managing multiple competing priorities
● A builder and inventor mindset – orientation towards thinking outside the box to pilot and test programs and initiatives to iterate before applying a one-size fits all approach.

Mission Summary:

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

What You'll Be Doing:

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

What We're Looking For:

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

Bonus Points (not required):

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

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

Motional’s global headquarters are located at 100 Northern Avenue in Boston, MA. Nestled in the bustling Seaport district with sweeping views of Boston Harbor and downtown Boston, the office is located close to major transit lines and a quick walk to various restaurants and popular attractions.

Mission Summary:

This position reports directly into the Controller. The Account’s Payable team mission is to provide customer focused services to the entire organization and you will be responsible for oversight of accounts payable, accounts receivable and the Company’s travel and expense program.

What You'll Be Doing:

•     Continue to build and seek opportunities for process efficiency to establish a world class Accounts Payable organization that can efficiently scale with Motional’s hyper growth.
•     Handles escalations of day-to-day accounts payable operations in all areas: PO and Non-PO invoice processing, payment holds, payment cycles, payment processing, expense reimbursements and vendor account reconciliations.
•     Understand the full procure-to-pay cycle to quickly identify the source of bottlenecks, problems and drive issues to resolution.
•     Conduct month-end, quarter-end and year-end close activities in support of Motional’s Finance organization.
•     Ensure accounts payable operations comply with statutory requirements, Company policies, processes, procedures, and internal controls within a global organization that includes Singapore and the United States.
•     Oversee and provide guidance for the ongoing day-to-day activities and longer-term strategic direction of the department including automation and process streamlining initiatives.
•     Ensure Company departments and business partners have a clear understanding of accounts payable services, policies, and company approval levels.
•     Develop collaborative relationships acting as a well-respected, trusted partner cross functionally with key stakeholders.
•     Develop supplier/vendor relationships to quickly resolve payment issues, create and execute a payment strategy, and ensure vendor/supplier alignment with the direction of the company.
•     Establish key metrics and reporting cadence for Accounts Payable and drive initiatives to scale the organization.
•     Manage, coordinate, and support special projects as needed.
•     Problem solve, prioritize multiple projects and adhere to business-critical deadlines
•     Support annual audit as needed
•     Partner and facilitate communications with direct and indirect procurement teams for vendor onboarding and maintenance, T&E administration
  
  

What We're Looking For:

•     BA/BS in Accounting, Finance or related field
•     8+ years of accounts payable professional experience including several in a management or supervisory role
•     Excellent judgment and creative problem-solving skills.
•     Exceptional written, oral, interpersonal, and presentation skills and the ability to effectively interface with management and teams across the organization.
•     Ability to operate as an effective tactical as well as strategic thinker.
•     Can do attitude, can roll up the sleeves and dive into the details quickly
•     Comfort to brief senior executives on results, obstacles and escalations
•     Bias for action, accountability and spirit of service
  
  

Why You Should Join Us:

•   Fast paced environment in a competitive AV industry with opportunity for measurable contributions towards company KPI’s and cross-functional exposure and visibility 
•   Ability to take ownership over the Accounts Payable team as we build for scale and commercialization in late 2026 
  
  

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

ABOUT THE TEAM 

The Anduril Imaging team develops state-of-the-art imaging systems across both hardware and software, deployed to tackle the most significant security challenges of America and its allies.  The team is heavily involved in utilizing computer vision, perception, electro-optical, infrared, and sensor data to give our war fighters and allies an advantage.   

ABOUT THE JOB 

We are looking for a Senior Manufacturing Engineer, Electronics to join our rapidly growing team in Lexington, MA. In this role, you will be responsible for owning the manufacturing processes for our electronic and electromechanical assemblies—ensuring our designs can be built cost-effectively, tested reliably, and scaled to meet production demand. You will be the go-to person on the production floor for diagnosing and resolving complex electrical and electromechanical failures, driving root-cause analysis and corrective actions that improve First Pass Yield and reduce rework. You will also support new product introduction efforts, partner with Design Engineering, Quality, and Supply Chain, and continuously improve our value stream to keep pace with growing demand. This will require deep hands-on knowledge of electronics troubleshooting, functional test development, and DFM/DFT principles, combined with strong analytical and data-driven problem-solving skills. If you are someone who thrives in a fast-paced, resource-constrained environment, takes ownership of problems end-to-end, and finds genuine satisfaction in making hardware build processes more robust and repeatable, then this role is for you.

WHAT YOU’LL DO

• Sustaining Production
  • Act as the lead troubleshooter for complex electrical and electromechanical failures on the production floor, using data and structured root-cause analysis to drive corrective actions that improve First
    Pass Yield (FPY) and reduce rework.
  • Manage the implementation of engineering changes on the factory floor—including alternate components and obsolescence management—ensuring seamless, validated cut-overs with minimal disruption to production.
  • Monitor and analyze production and test data to identify trends, recurring failure modes, and process drift, proactively driving improvements before issues impact output.
• New Product Introduction (NPI)
  • Participate in early design reviews, applying DFM/DFT principles to ensure electromechanical designs are optimized for assembly and testing.
  • Develop manufacturing build and test plans, including work instructions and custom test fixtures and procedures for electronic assemblies.
  • Support pilot builds on the production floor, working with technicians to document issues and refine the assembly and test process.
• Value Stream Ownership
  • Own the manufacturing value chain for a defined set of products, encompassing both technical and commercial operations, ensuring the capability to produce at needed scale.
  • Evaluate, plan, and prioritize long-term and short-term supply chain, production, and test optimizations to ensure capability and reliability of the value stream to meet production output goals and business objectives.
  • Break systems down into logical subassemblies and process flows to maximize production capability, reliability (lead time and flexibility), and total cost of ownership.
  • Develop and communicate strategies—including vertical integration, value stream diversification, and strategic partnerships—to unlock scalability of production output and accelerate product development.
• Cross-Functional Collaboration
  • Partner with Design and Sustaining Engineering on production issues: investigate the assembly/test process first, then collaborate with design engineers to investigate the design itself when process has
    been ruled out.
  • Partner with Quality on root-cause analysis, providing deep product-specific technical expertise to understand failures and validate the effectiveness of corrective actions.
  • Provide technical validation for Supply Chain's component and supplier sourcing decisions; work together to qualify new suppliers and resolve technical or quality issues with incoming materials.
• Operations & Documentation
  • Work with contract manufacturers within the critical product value stream to develop and execute repeatable, sustained processes for quick-turn development as well as at-scale production and testing.
  • Be on-site at current and future operations partners, managing technical and commercial needs, solving ongoing production issues, improving capacity, and evaluating potential partners.
  • Work hands-on with technicians and other engineers building prototype and production hardware for internal and external use.
  • Create and maintain documentation required for successfully manufacturing hardware at scale (work instructions, test procedures, process specifications).
  • Reduce complexity through commonality optimization and component/supplier rationalization.

REQUIRED QUALIFICATIONS

• Degree in Electrical Engineering, Electronics Engineering, Systems Engineering, or a related technical field.
• 5+ years of experience in Manufacturing Engineering, Process Engineering, Industrial Engineering, or Test Engineering, with a focus on electronic or electromechanical hardware.  
• Hands-on experience with the discrete manufacturing, assembly, and test of complex electromechanical systems, with a working understanding of how electrical schematics and layouts relate to the physical hardware.
• Personal experience physically manufacturing hardware (soldering, assembly, fabrication, machining, etc.). Work on personal or extracurricular projects is a plus.
• A genuine interest in manufacturing operations and a drive for continuous improvement.
• Eligible to obtain and maintain an active U.S. Secret security clearance 

PREFERRED QUALIFICATIONS

• Experience in hardware testing and automated test systems (LabVIEW, Test Stand, etc.)
• Proficiency in programming languages such as Python, Matlab, SHELL, or others
• Experience with computer hardware communication protocols: USB, Ethernet, RS232, RS485, PCIe, HDMI, CAN, etc
• Experience in the assembly and test of precision mechanisms.
• Proficiency with electrical schematics, layouts, and how they relate to the physical hardware
• Exposure to ISO 9001/AS 9100 quality systems.
• Demonstrated familiarity with optical system integration and test.

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

Mission Summary:

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

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

Key Responsibilities:

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

Required Qualifications:

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

Preferred Qualifications:

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

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

Motional’s Talent Acquisition Team recruits and supports world class talent. We are actively looking for a Talent Acquisition Sourcer to support all areas of technical hiring within our Autonomy Department. We are hoping you’ll be interested to join us!

What you’ll be doing:

• Research and execute to identify and attract talented technical individuals at all levels.
• Build long standing relationships with sourced candidates to best represent the Motional teams and culture
• Deep dive and cultivate difficult to find talent to join our teams
• Demonstrate expert knowledge of Motional’s roles, focusing on machine learning, software engineering and more technical capabilities.
• Provide a best in class candidate experience as the initial contact. 
• A drive to not only find talent, but create strategic ways to build long standing relationships with those that are not ready to join us today. 
  
  

What we’re looking for:

• 3+ year of relevant sourcing or recruiting experience/working with candidates and clients within Software Engineering functions
• ATS experience (Greenhouse preferred but not required)
• Experience using LinkedIn Recruiter and other sourcing tools.
• Strong ability to screen candidates for interest level and high level details.
• Strategic partner mindset with recruiting and clients
• Excellent communication and interpersonal skills
• BA/BS degree or equivalent practical experience
  
  

It's a bonus if you have:

• Experience sourcing for niche or highly technical roles in the AV industry
  
  

Why You Should Join Us:

• Motional fosters a culture of inclusion and learning. The Talent Acquisition team works in a collaborative based approach to fill an exceptionally high number of roles, in a short amount of time, with only the highest expectations of support and guidance to get the job done as a team. We celebrate the big wins, and we support and help guide/grow when there are losses. We hope you considering joining us on the mission to build and foster a world class organization within Motional.
  
  

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

Role overview

CarGurus is transforming how the company operates by embedding AI into workflows across every function — product, engineering, revenue, finance, support. It’s a software engineering role where the domain is the entire business. You’ll work directly with teams across the org to understand how work actually gets done, identify where AI can change the unit of work or shift where judgment lives, and build the systems that make it real. Some of that is agent-based automation. Some of it is workflow redesign. All of it requires someone who can architect and ship production-quality software, not stitch together SaaS integrations. This is not a Salesforce developer, Boomi connector, or low-code/no-code position, nor is it an enterprise architect or ML model training role.

This is a small, high-autonomy team reporting to the Head of AI Solutions. You’ll have outsized influence on how a publicly traded company with ~$1B in revenue adopts AI — not as a pilot or a demo, but as a structural change in how the business runs. You will be successful here if you are a product-caliber engineer who finds internal workflow transformation genuinely interesting — not a consolation prize, but the most leveraged place to be right now. You’d rather build something real that 200 people use tomorrow than something polished that ships in 6 months.

What you'll do

• Design and build AI-powered workflows and agent-based systems that transform how teams operate across the company.
• Partner directly with stakeholders in revenue, product, engineering, finance, and operations to gather requirements, map existing workflows, and identify high-leverage opportunities for AI.
• Build end-to-end — from scoping and architecture through implementation and deployment. This team ships, it doesn’t hand off specs.
• Work with AI APIs and platforms (Anthropic/Claude, AWS Bedrock, and others) to build agentic systems, automation pipelines, and intelligent tooling.
• Operate across a messy, heterogeneous environment — AWS infrastructure, Salesforce, internal services — without waiting for everything to be clean before you start building.
• Help shape the technical strategy and standards for AI Solutions as a function.

What you'll bring

• 5+ years of relevant software engineering experience.
• Strong software engineering fundamentals — you’ve built and shipped production systems, not just prototypes.
• Proficiency in Python as the primary language for this work; comfort with additional languages is a plus.
• Experience designing APIs, services, and data pipelines. You think in systems, not scripts.
• AWS fluency — you’re comfortable working within AWS infrastructure and services.
• Hands-on experience building with LLM APIs, agent frameworks, or AI-powered applications — not just experimentation, but something that ran in production or was used by real people.
• Ability to operate with high autonomy. You’ll scope your own work, make architectural decisions, and own outcomes.
• Willingness to work across the full stack of a business — including systems like Salesforce that aren’t glamorous but are where the high-impact problems live.

Nice-to-haves:

• Experience with workflow orchestration or automation at scale.
• Familiarity with Salesforce APIs and integration patterns (not Salesforce administration).
• Background in recommendations, search, data science, or ML engineering.
• Experience working cross-functionally with non-technical stakeholders.

The ML Data Service team is seeking a highly experienced and motivated Staff Tech Lead Manager (TLM) to lead the development and operation of our core machine learning data infrastructure. This critical role requires a blend of deep technical expertise in machine learning systems, large-scale data processing, and proven leadership ability to manage both individual contributors and technical direction.

The ML Data Service team is responsible for providing reliable, high-quality, and easily accessible data for all ML use cases. As owners of the "Data Engineering" phase of the ML lifecycle, they manage the most critical input to any ML system: the data itself. Our infrastructure supports hundreds of data pipelines and petabytes of data, directly enabling the success of our flagship products.

What You'll Do

Technical Leadership and Strategy

• Define and drive the technical roadmap and long-term strategy for the ML Data Service platform, ensuring it meets the evolving needs of ML engineers across the company.
• Serve as the top technical expert for the team, architecting complex, highly scalable, and fault-tolerant systems for data ingestion, transformation, and serving.
• Lead the technical vision for the provision of diverse training data sources, including ingestion from real-world drive logs, resimulation outputs, autolabelling pipelines, and human labelling efforts.
• Drive the implementation of robust mechanisms for monitoring data quality, tracking data lineage, and ensuring overall data governance and compliance.
• Provide hands-on technical guidance, design reviews, and mentorship to engineers, ensuring the adoption of best practices, high code quality, and operational excellence.

Management and Team Growth

• Manage a team of software engineers, including performance reviews, career development, coaching, and mentoring.
• Act as a technical leader-manager hybrid, balancing 50% management duties with 50% technical leadership, architecture, and hands-on coding/design.
• Drive hiring and recruitment efforts to attract, onboard, and retain top engineering talent, fostering a diverse and inclusive team culture.
• Champion engineering excellence, operational rigor, and a strong sense of ownership within the team.

Collaboration and Execution

• Collaborate closely with ML model teams and Infrastructure teams to understand data needs and deliver solutions that accelerate ML development cycles.
• Lead the execution of major projects, ensuring on-time delivery and alignment with business objectives.
• Communicate complex technical concepts and strategic direction effectively to both technical and non-technical stakeholders, including executive leadership.

What We're Looking For

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 8+ years of experience in software engineering, with a strong focus on large-scale data systems, distributed systems, or ML infrastructure.
• 3+ years of experience managing engineering projects with a track record of delivering efficient tools and infra. Manger experience  of building and scaling high-performing teams is a strong plus (including mentoring, performance management, and career development).
• Deep expertise in data processing technologies (e.g., Spark, Flink, Beam, distributed databases) and experience with cloud platforms (e.g., AWS, GCP, Azure).
• Demonstrated experience designing, implementing, and operating production-grade ML data pipelines or feature stores.

This role is hybrid from our Boston and Pittsburgh offices and requires two in-office days per week, ideally Tuesday and Thursday.

The ML Data Service team is seeking a highly experienced and motivated Staff Tech Lead Manager (TLM) to lead the development and operation of our core machine learning data infrastructure. This critical role requires a blend of deep technical expertise in machine learning systems, large-scale data processing, and proven leadership ability to manage both individual contributors and technical direction.

The ML Data Service team is responsible for providing reliable, high-quality, and easily accessible data for all ML use cases. As owners of the "Data Engineering" phase of the ML lifecycle, they manage the most critical input to any ML system: the data itself. Our infrastructure supports hundreds of data pipelines and petabytes of data, directly enabling the success of our flagship products.

What You'll Do

Technical Leadership and Strategy

• Define and drive the technical roadmap and long-term strategy for the ML Data Service platform, ensuring it meets the evolving needs of ML engineers across the company.
• Serve as the top technical expert for the team, architecting complex, highly scalable, and fault-tolerant systems for data ingestion, transformation, and serving.
• Lead the technical vision for the provision of diverse training data sources, including ingestion from real-world drive logs, resimulation outputs, autolabelling pipelines, and human labelling efforts.
• Drive the implementation of robust mechanisms for monitoring data quality, tracking data lineage, and ensuring overall data governance and compliance.
• Provide hands-on technical guidance, design reviews, and mentorship to engineers, ensuring the adoption of best practices, high code quality, and operational excellence.

Management and Team Growth

• Manage a team of software engineers, including performance reviews, career development, coaching, and mentoring.
• Act as a technical leader-manager hybrid, balancing 50% management duties with 50% technical leadership, architecture, and hands-on coding/design.
• Drive hiring and recruitment efforts to attract, onboard, and retain top engineering talent, fostering a diverse and inclusive team culture.
• Champion engineering excellence, operational rigor, and a strong sense of ownership within the team.

Collaboration and Execution

• Collaborate closely with ML model teams and Infrastructure teams to understand data needs and deliver solutions that accelerate ML development cycles.
• Lead the execution of major projects, ensuring on-time delivery and alignment with business objectives.
• Communicate complex technical concepts and strategic direction effectively to both technical and non-technical stakeholders, including executive leadership.

What We're Looking For

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 8+ years of experience in software engineering, with a strong focus on large-scale data systems, distributed systems, or ML infrastructure.
• 3+ years of experience managing engineering projects with a track record of delivering efficient tools and infra. Manger experience  of building and scaling high-performing teams is a strong plus (including mentoring, performance management, and career development).
• Deep expertise in data processing technologies (e.g., Spark, Flink, Beam, distributed databases) and experience with cloud platforms (e.g., AWS, GCP, Azure).
• Demonstrated experience designing, implementing, and operating production-grade ML data pipelines or feature stores.

This role is hybrid from our Boston office and requires two in-office days per week, ideally Tuesday and Thursday.

About Formlabs:

Do you want to change how the world creates?

At Formlabs, we’re building the tools that make it possible for anyone to bring their ideas to life, from cutting-edge products to life-saving medical devices. Our 3D printing technology powers innovation at more than 50,000 industry leaders worldwide, including Apple, Google, Tesla, New Balance, and NASA. Together, we’re helping everyone design, prototype, and manufacture faster than ever before.

We’re a team of hands-on builders, engineers, and innovators reinventing how the world makes physical things. If you’re ready to shape the future of fabrication, come build it with us.

Your Impact: 

As a key technical advisor and product advocate, you will be the technical architect and project lead for our most significant enterprise partnerships. You will own the end-to-end technical implementation of Formlabs stereolithography (SLA) technology at high volume dental customers. This role requires a blend of hands-on engineering, software integration, and strategic project management to displace legacy manufacturing workflows with Formlabs solutions.

If you’re excited to take an active role at the forefront of the next industrial revolution and lead our fast-growing, global company into new territory, join us as a Dental Application Engineering Lead.

What You’ll Do:

• Design and execute alternative production workflows to replace existing competitor implementations at scale
• Develop and optimize manufacturing processes, including part quality validation, yield metrics, and post-processing steps like thermoforming and centrifugal spinning

• Lead API development and integration to connect Formlabs hardware with existing customer software infrastructures for automated plant operation
• Understand customer end goals, such as cost per part or time from order to ship, and provide creative solutions to optimize the end goals 
• Implement custom scripts (e.g., Python) to automate file processing, batching, nesting, and print queue management
• Debug and resolve software edge cases, such as partial build handling and artifact extrusion heights

• Design and validate manufacturing jigs and fixtures using CAD to streamline part removal and workflow efficiency
• Maximize system uptime by developing comprehensive maintenance plans, Standard Operating Procedures, and identifying expected failure modes for high-volume printer fleets
• Customize off-the-shelf hardware and resin delivery systems to meet specific customer production requirements.

• Own the project lifecycle from initial requirement gathering and scope definition through to full-scale production deployment
• Manage on-site pilot programs, providing rapid in-situ troubleshooting and technical support during critical deployment phases
• Collaborate across functional teams, acting as the primary technical liaison between the customer, 3rd party integrators, and internal engineering leads
• Train and mentor onsite field service engineers and customer operators to ensure long-term solution sustainability

About You:

• Engineering or Computer Science degree
• Experience working in a manufacturing environment
• Experience in CAD
• Experience writing code preferred (e.g., Python)
• Experience with software and hardware automation is a plus
• Able to travel (domestic or international) up to 75% of the time during peak implementation phases 

Our Benefits & Perks:

• Robust equity program to build future wealth through RSUs
• Comprehensive healthcare coverage (Medical, Dental, Vision)
• 401K matching and access to financial advisors
• Generous paid Parental Leave (up to 16 weeks)
• Tenure-based paid Sabbatical Leave (up to 6 weeks)
• Flexible Out of Office Plan – Take time when you need it
• Ample on-site parking & pre-tax commuter benefits
• Healthy on-site lunches, snacks, beverages, & treats
• Regular sponsored professional development opportunities
• Many opt-in culture events across our diverse community
• And of course… unlimited 3D prints

We are an equal opportunity employer and value diversity at our company.  We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.  

Even if you don't check every box, but see yourself contributing, please apply. Help us build an inclusive community that will change the face of 3D printing.

About Formlabs:

Do you want to change how the world creates?

At Formlabs, we’re building the tools that make it possible for anyone to bring their ideas to life, from cutting-edge products to life-saving medical devices. Our 3D printing technology powers innovation at more than 50,000 industry leaders worldwide, including Apple, Google, Tesla, New Balance, and NASA. Together, we’re helping everyone design, prototype, and manufacture faster than ever before.

We’re a team of hands-on builders, engineers, and innovators reinventing how the world makes physical things. If you’re ready to shape the future of fabrication, come build it with us.

Your Impact: 

As a key technical advisor and product advocate, you will be the technical architect and project lead for our most significant enterprise partnerships. You will own the end-to-end technical implementation of Formlabs stereolithography (SLA) technology at high volume dental customers. This role requires a blend of hands-on engineering, software integration, and strategic project management to displace legacy manufacturing workflows with Formlabs solutions.

If you’re excited to take an active role at the forefront of the next industrial revolution and lead our fast-growing, global company into new territory, join us as a Dental Application Engineering Lead.

What You’ll Do:

• Design and execute alternative production workflows to replace existing competitor implementations at scale
• Develop and optimize manufacturing processes, including part quality validation, yield metrics, and post-processing steps like thermoforming and centrifugal spinning

• Lead API development and integration to connect Formlabs hardware with existing customer software infrastructures for automated plant operation
• Understand customer end goals, such as cost per part or time from order to ship, and provide creative solutions to optimize the end goals 
• Implement custom scripts (e.g., Python) to automate file processing, batching, nesting, and print queue management
• Debug and resolve software edge cases, such as partial build handling and artifact extrusion heights

• Design and validate manufacturing jigs and fixtures using CAD to streamline part removal and workflow efficiency
• Maximize system uptime by developing comprehensive maintenance plans, Standard Operating Procedures, and identifying expected failure modes for high-volume printer fleets
• Customize off-the-shelf hardware and resin delivery systems to meet specific customer production requirements.

• Own the project lifecycle from initial requirement gathering and scope definition through to full-scale production deployment
• Manage on-site pilot programs, providing rapid in-situ troubleshooting and technical support during critical deployment phases
• Collaborate across functional teams, acting as the primary technical liaison between the customer, 3rd party integrators, and internal engineering leads
• Train and mentor onsite field service engineers and customer operators to ensure long-term solution sustainability

About You:

• Engineering or Computer Science degree
• Experience working in a manufacturing environment
• Experience in CAD
• Experience writing code preferred (e.g., Python)
• Experience with software and hardware automation is a plus
• Able to travel (domestic or international) up to 75% of the time during peak implementation phases 

Our Benefits & Perks:

• Robust equity program to build future wealth through RSUs
• Comprehensive healthcare coverage (Medical, Dental, Vision)
• 401K matching and access to financial advisors
• Generous paid Parental Leave (up to 16 weeks)
• Tenure-based paid Sabbatical Leave (up to 6 weeks)
• Flexible Out of Office Plan – Take time when you need it
• Ample on-site parking & pre-tax commuter benefits
• Healthy on-site lunches, snacks, beverages, & treats
• Regular sponsored professional development opportunities
• Many opt-in culture events across our diverse community
• And of course… unlimited 3D prints

We are an equal opportunity employer and value diversity at our company.  We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.  

Even if you don't check every box, but see yourself contributing, please apply. Help us build an inclusive community that will change the face of 3D printing.

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:

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.

Mission Summary:

We are looking for a Senior Software Engineer to develop and deliver automated workflows, intelligent tooling and insightful analytics that enables our autonomy stack to scale. You will play a pivotal role in transforming massive amounts of data into actionable engineering insights, ensuring our software releases are robust, validated, and ready for the road.

What you'll be doing:

• Develop Intelligent Tooling: You will design and implement sophisticated automation to categorize and explain complex system behaviors by leveraging advanced data modeling to accelerate solutions.
• Drive Analytics: You’ll lead the creation of high-impact performance visualization tools that translate raw metrics into clear, actionable insights regarding on-road performance.
• Streamline Release Engineering: Your expertise will help the team evolve our release processes, moving toward a highly automated deployment framework that maintains quality while improving efficiency
• Advance Simulation Capabilities: You’ll have the opportunity to enhance our virtual testing ecosystems, ensuring our simulation suites provide the high fidelity feedback necessary to properly understand the release.
• Collaborate at Scale: Work within a large, multi-disciplinary codebase to ensure seamless integration between planning, motion, and controls teams.
  
  

What we're looking for:

• Extensive experience building production-grade applications, tools, and pipelines using Python.
• Comfortable navigating and contributing to large, complex codebases where modularity and documentation are key.
• Proven track record of delivering software in a production environment, including familiarity with CI/CD, version control at scale, and rigorous release cycles.
• Curious about data and possess the ability to extract meaningful patterns from noisy, high-dimensional datasets.
• Passionate about a driverless future and understand the high stakes of deploying software that interacts with the physical world.
  
  

Bonus Points(not required): 

• Experience with C++ in a Linux environment.
• Familiarity with Machine Learning frameworks or Large Language Model (LLM) integration.
• Background in robotics middleware (ROS, DDS) or autonomous systems.
  
  

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

Mission Summary:

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.

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.

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.

Mission Summary:

We are seeking an experienced and visionary Principle Level Tech Lead Manager to build and lead our new Machine Learning (ML) Acceleration team. This pivotal role will drive the strategy, development, and execution of initiatives aimed at significantly accelerating ML model training. The ultimate goal is to drastically reduce the development cycle for new ML models and enable rapid hot-patching for issues within our deployed autonomous vehicle services.

You will be a hands-on leader, blending deep technical expertise in ML systems and performance optimization with strong leadership and people management skills. You will recruit, mentor, and grow a high-performing team of engineers, fostering a culture of innovation, collaboration, and continuous improvement.

What you'll be doing:

• Team Leadership & Management:
• Build, lead, and manage a high-performing team of ML and infra engineers focused on acceleration.
• Provide technical guidance, mentorship, and career development opportunities to team members.
• Foster a collaborative and inclusive team environment.
• Define team goals, priorities, and roadmap in alignment with company objectives.
  
  
• Technical Strategy & Execution:
• Define the technical vision and strategy for ML acceleration across the organization.
• Identify and evaluate cutting-edge technologies and methodologies for speeding up ML training, including but not limited to data pipeline optimization, large scale distributed training, data loader optimization, hardware acceleration, and model optimization techniques.
• Design, develop, and implement scalable and efficient ML acceleration solutions.
  
  
• Cross-functional Collaboration:
• Collaborate closely with ML research, ML Training platform, and product teams to understand their needs and integrate acceleration solutions seamlessly.
• Communicate complex technical concepts and strategies to both technical and non-technical stakeholders.
• Act as a technical expert and advocate for ML acceleration initiatives across the company.
  
  
• Impact & Measurement:
• Regularly measure and report on the impact of acceleration efforts.
• Continuously seek opportunities for further optimization and innovation.
  
  

What we're looking for:

• Experience:
• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience
• 8+ years of experience in software engineering, with at least 5+ years focused on Machine Learning systems and model performance optimization.
• 3+ years of experience in a technical lead or management role, with a proven track record of building and leading high-performing teams.
• Extensive experience with large-scale ML model training and deployment, ideally in a production environment.
• Strong understanding of distributed systems and cloud computing platforms (e.g., AWS, GCP, Azure).
  
  
• Technical Skills:
• Deep expertise in ML frameworks such as PyTorch or JAX.
• Proficiency in performance profiling and optimization techniques for Deep Neural Networks.
• Strong programming skills in Python; C++ experience is a plus.
• Knowledge of MLOps principles and practices.
  
  
• Leadership Skills:
• Exceptional leadership, communication, and interpersonal skills.
• Ability to attract, hire, and retain top engineering talent.
• Proven ability to drive complex technical projects from conception to completion.
• Strong problem-solving skills and a proactive, results-oriented mindset.
• Ability to thrive in a fast-paced, dynamic environment.

Mission Summary

The AI Data Foundry is the vital link between our company's expansive data and the engineering teams that rely on it. We architect and operate the core services and infrastructure necessary to transform petabytes of raw data each month into actionable insights for our Machine Learning and Autonomy engineers. This role is a key contributor across our core initiatives:

• Data Processing: We are building state-of-the-art infrastructure to meet the demands of our rapidly scaling fleet and sophisticated ML engineering requirements. You will be responsible for ensuring that our core data pipelines are robustly engineered—meaning they are performant, user-friendly, and highly fault-tolerant.
• Data Discovery: we are building a platform that combines cataloging data for search needs across our metadata stores, vector datastores, and various data warehouses to super charge our ML pipelines. You would be coming in and working with ML and autonomy stakeholders to build out this new discovery platform. 
• Data Lineage: we are getting started with building our data lineage system that will track the usage of all data at Motional. You would work with our stakeholders to ensure our system is widely adopted and address customer pain points.

What You'll Be Doing

• Play a key role in designing and building the next generation of data infrastructure.
• Build scalable backend services for data discovery and data lineage systems.
• Write high quality, maintainable code to process petabytes of data 
• Lead and champion high-level system design and quality code reviews/technical contributions.
• Design, build, and maintain scalable data processing and access with cloud ETL technology.

What We're Looking For

• 3+ years of professional experience as a data engineer or data pipeline engineer
• BS or MS in Computer Science or related field
• Strong development experience with Python and SQL.
• Expertise with AWS services and solutions (EKS, Lambda, ETL) 
• Experience with distributed system design and development
• Comfortable working in a fast-paced, continuous delivery environment

Bonus Points (not required): 

• Experience with Infrastructure Monitoring
• Experience working in cross-functional development teams 

Mission Summary:

We are seeking a capable and highly motivated Engineer for our Developer Platform team to enable rapid and safe software delivery by providing a unified, efficient and reliable platform for all developers at Motional. You will join a talented team of engineers that focuses on improving the engineering experience and developer productivity of teams in Motional by providing them with the necessary tools and processes. You will collaborate closely with teams across the organization to identify pain points and drive initiatives that empower teams to deliver on Motional’s mission.

Your main focus will be on our real-time data pipeline which enables our AVs to communicate with our cloud services such as Command Center, Over-The-Air update systems, and ride hailing partners integration.

This is a remote-first position based anywhere in the U.S. 

What you'll do:

• Design, build, document, test, and maintain network, compute, and storage infrastructure of our cloud platform for the AV fleet.
• Monitor, support, and resolve issues as they arise in production.
• Assist with high-level analysis, system design, and code reviews.
• Communicate with stakeholders and team leads to identify system requirements.

What you'll be working on:

• Observability systems, CI/CD pipelines for integrations with ride hailing partners like Uber and Lyft.
• Cost Optimizations, Performance Optimizations, Security Improvements of Cloud Systems.
• Automation, services and LLM-integrated bots to reduce developer toil.

What you bring:

• 2+ years of professional work experience as a Software Engineer/DevOps in designing and building distributed systems.
• Experience with Golang / Python.
• Experience with AWS (EC2, EKS, ECS, Lambda, VPC, S3, IAM, IOT).
• Knowledge of CI/CD tools (e.g. GitLab CI, Jenkins).
• Experience with Infrastructure as Code (Terraform).
• Comfortable taking projects from ideation through to completion, with strong communication and collaboration across multiple international teams.
• Comfortable working in a fast-paced, continuous delivery environment.

Bonus points for experience with:

• Working with a globally distributed team.
• Experience with serverless architectures, building systems using SQL and NoSQL databases.
• Experience with time-series databases and monitoring tools (Prometheus, VictoriaMetrics, Grafana, Redash).
• Experience with GenAI solutions (Q Developer/Business, Gemini).
• Experience in Site Reliability Engineering.
• Experience with error monitoring software (Sentry, Incident.io).

You’re an engineer who is excited to work on cutting-edge software products and solutions using state-of-the-art computer vision and deep learning. You have a solid foundation in areas like detection, classification, segmentation, or tracking—whether through previous roles, internships, or research—and you’re eager to apply those skills in an impactful, production-focused environment.

You’re curious, motivated, and ready to learn from experienced teammates. You enjoy solving challenging technical problems, asking thoughtful questions, and collaborating with others to build high-quality software.

You’re excited about contributing to the perception stack for self-driving vehicles and learning what it means to build technology for safety-critical, open-world applications.

What you’ll be doing:

• Contribute to the design, development, and improvement of perception components that support downstream modules within the autonomy system.
• Help analyze perception system performance to identify areas for improvement and participate in efforts to address them.
• Work with teammates to explore creative approaches to “long-tail” challenges—for example, experimenting with synthetic data, data mining techniques, or new model architectures.
• Depending on your background and interests, you may also help optimize and deploy models to the vehicle, ensuring they operate within the constraints of our onboard hardware and meet our functional requirements and interface specifications.
• Interface with systems and safety engineers, test engineers, and data analysts to ensure appropriate requirements, test coverage, and performance metrics

What We’re Looking for:

• Master's or Ph.D. in Machine Learning, Computer Science, Robotics, or a related field; or equivalent industry experience
• Solid understanding of fundamental deep learning concepts and computer vision techniques
• Experience building, training, or evaluating neural networks
• Proficiency in Python and familiarity with libraries like PyTorch or similar
• Exposure to software engineering fundamentals—version control, code reviews, testing, and collaborative development
• Clear communication skills and willingness to ask questions, share ideas, and work with others

Bonus Points:

• Previous experience with sensor fusion and/or previous exposure to the AV industry
• Experience shipping a “real” product and balancing ongoing support with next-generation innovation
• Exposure to safety-critical products or components
• Publications in relevant conferences (CVPR, ICML, NeurIPS, etc.)
• Strong programming skills in C++ and/or CUDA programming
• Experience with TensorRT and model quantization

What we're looking for:

Mission Summary:

As a seasoned expert in Perception Capabilities, you'll field cutting-edge software products and solutions using state-of-the-art computer vision and deep learning. Your breadth of experience spans critical problem areas like detection, classification, segmentation, and tracking, along with essential supporting functions such as data engines, labeling policies, training pipelines, model optimization, simulation, and testing. You're driven by seeing your work significantly impact the product, taking initiative and owning outcomes.

You're eager to apply these skills to the perception stack of self-driving vehicles. You understand the unique challenges of safety-critical, open-world applications and are committed to ensuring engineering excellence and rigorous evaluation.

You'll devise creative solutions to complex problems, collaborating with interdisciplinary, capability-focused teams across the organization to design, implement, and validate end-to-end solutions.

What you’ll be doing:

• Lead the development and implementation of solutions that span across perception components and directly interface with downstream modules in the autonomy system.
• Analyze the performance of the perception subsystem to proactively identify potential limitations with respect to a set of system-level capabilities. Document potential hazards and lead the cross-team efforts to eliminate or mitigate them.
• Collaborate on innovative solutions to address “long tail” challenges. For example, developing techniques for synthetic data generation, advanced data mining, or leveraging language embeddings in our onboard models.
• Depending on your background and interests, you may also help optimize and deploy models to the vehicle, ensuring they operate within the constraints of our onboard hardware and meet our functional requirements and interface specifications.
• Interface with systems and safety engineers, test engineers, and data analysts to ensure appropriate requirements, test coverage, and performance metrics

What We’re Looking for:

• Master's or Ph.D. in Machine Learning, Computer Science, Robotics, or a related field; or equivalent industry experience
• Strong leadership skills in executing large, complex technical initiatives
• Track record of successful interdisciplinary work and product-focused engineering
• Broad understanding of Deep Learning algorithms, architectures, and applications
• Experience designing, training, and analyzing neural networks for applications relevant to perception
• Fluency in Python, including common libraries for deep learning (PyTorch), scientific computing, and data analysis and visualization
• Advanced knowledge of software engineering principles, including software design, source control management, build processes, code reviews, and  testing methods 
• Excellent communication and interpersonal skills
• Experience mentoring and leading others

Bonus Points:

• Experience shipping a “real” product and balancing ongoing support with next-generation innovation
• Experience developing safety-critical products or components
• Publications in relevant conferences (CVPR, ICML, NeurIPS, etc.)
• Strong programming skills in C++ and/or CUDA programming
• Experience with TensorRT and model quantization

On Behaviors, you'll have the opportunity to work with world-class ML engineers and research scientists to make self-driving vehicles a reality and create positive social impact. Our team works on the tech stack responsible for understanding highly complex driving scenes and generating safe, comfortable driving trajectories for our robotaxi using the latest deep neural networks. We are looking for engineers who are passionate about Level 5 autonomous driving, excited by intellectual challenges, and interested in pursuing career growth with a fast growing company.

What You’ll Be Doing:

You will be directly responsible for training, evaluation, and deployment of our ML-based scene understanding, behavior prediction, and planning models. Day to day responsibilities include:

• Designing and executing high value experiments based on collaborative input from other machine learning engineers
• Prototyping and implementing continuously improving metrics to evaluate the performance of our behavioral models across many desired scenarios and robotaxi capabilities
• Timely release of major model updates, including analysis of both off-line and on-road evaluation data
• Staying up to date with the latest trends in our fast moving industry, and proposing new architectures and network designs based on published literature
• Maintaining a high quality training and evaluation code-base, including portions of our training stack dedicated to dataset generation and evaluation

What We’re Looking For:

• In-depth understanding of common Machine Learning and Deep Learning algorithms
• Experience designing, training, and analyzing neural networks for at least one of the following applications: motion planning, object detection, sensor fusion, motion prediction, and/or multi-object tracking
• Strong track record of tackling less well-defined problems, and executing efficiently to deliver the successful outcome
• Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, and  testing methods
• Experience with PyTorch or other python-based deep learning frameworks
• Experience working with large data sets and deriving insights from data
• Experience mentoring and collaborating with others

Education
Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience

Bonus Points

• Publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
• PhD in machine learning, computer vision, or robotics vision
• Experience working on autonomous vehicles or related fields
• Experience in deploying models into real-world environments
• Strong programming skills in C++ and/or CUDA programming
• This opportunity can support remote work within the United States, with occasional travel.

Working Conditions

While performing the duties of this job, the employee is frequently required to convey and detect communication

The employee occasionally required to remain stationary at times for up to 50% of working time, move in designated working areas; & operate and use office equipment

The employee may occasionally move up to 50 pounds

Mission:

We are seeking a highly skilled and motivated Principal Engineer, Technical Lead to lead our large-scale AI model and software evaluation framework – Ground Truth Regression. The ideal candidate will have a strong background in data engineering, machine learning principals and leadership, with experience in developing and deploying advanced data analysis and large scale orchestration frameworks.

At Motional, large scale orchestration for data analysis plays a critical role in delivering our ML-centered autonomous driving vehicle. Our robo-taxi ML Models and software are developed by hundreds of developers and deployed multiple times a day – The Ground Truth Regression team provides the large scale perception analysis framework for validating all changes to perception which can impact the autonomous vehicle behavior. 

The GTRegression team validates the end impact of ML and software changes to the autonomous vehicle while those changes are in development, providing the tools for Root Cause Analysis, and safety consideration. We monitor for model errors, anomalies, rare objects & long-tail driving scenarios across thousands of driving hours. The team develops the full stack – AWS Kubernetes orchestration framework, ReSimulation, model metrics, regression reports, and deep dive analysis UI’s. The team works together with all other perception and ML teams to develop the metrics and analyze results.

What You'll Do: 

• Lead a team of engineers with a diverse skill set to deliver critical software supporting the development of the autonomous vehicle ML models and software.
• Drive innovation by researching and developing new large scale data warehousing and analysis.
• Own large-scale data analysis workflows that surface unexpected impacts of planned and unplanned changes to the ML models and software.
• Build high-quality datasets to improve ML products through training & edge case validation.
• Provide statistical depth on model performance & generalization through rigorous error and change analysis.
• Provide technical leadership and mentorship to the team, fostering a culture of collaboration and continuous improvement.
• Manage project timelines, resources, and deliverables to ensure successful project execution.

What We're Looking For:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Excellent leadership, communication, and problem-solving skills.
• Proven record leading a small diverse dedicated team supporting a large user base.
• Experience in machine learning, data mining, and statistical analysis.
• Proven experience in developing and deploying large scale cloud frameworks.
• Strong programming skills in Python.
• Experience with large-scale data processing and distributed computing technologies.
  
  

Bonus Points:

• Ph.D. in Computer Science or a related field.
• Experience with cloud platforms such as AWS, Google Cloud, or Azure.
• Experience with machine learning in the autonomous driving domain.
• Publications or contributions to the AI/ML community.

On our Behaviors team (Prediction and ML Planner), you will have the opportunity to work with world-class ML engineers, whose mission is to make self-driving vehicles a reality and to create a positive social impact. The Behaviors team develops ML models that learn how different agents navigate complex real-world traffic scenarios. We leverage these models to set the behavior of our self-driving vehicle, and predict the behavior of other agents such as vehicles and vulnerable road users. 

We are looking for proven leaders and technical experts who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company.

What You’ll Be Doing:

• Define and execute motion planning and prediction projects that improve our self-driving vehicles’ capability to safely, comfortably and legally navigate complex traffic scenarios
• Lead, manage and grow a team of engineers
• Design and lead the implementation of behavior models that leverage the latest advancements in machine learning, generative AI and reinforcement learning
• Productionize and deploy solutions onto autonomous vehicle fleets
• Collaborate with perception, simulation, data platform and integration teams to validate and enhance your products’ on-road performance
• Communicate strategies, progress and challenges to executive leadership

What We’re Looking for:

• Masters or Ph.D. in Computer Science or a related technical field; or equivalent industry experience
• Proven leadership skills at executing large, complex technical initiatives
• Extensive experience managing and leading engineers
• Experience with deep learning frameworks such as TensorFlow or PyTorch
• Fluency in Python, including standard scientific computing libraries
• Proven track record of designing, developing and deploying ML solutions for autonomous vehicles or robotics
• Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods 
• Excellent communication and interpersonal skills

Bonus Points:

• Experience with embedded systems and real-time optimization, especially in the autonomous driving industry
• Experience with state of the art generative AI, and/or reinforcement learning, paradigms
• Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
• Strong programming skills in C++ and/or CUDA programming

Tech Lead Manager, Planning

On our Planning team, you'll apply your passion in robotics and software development for production-ready autonomous vehicles. As the Technical Lead Manager, you will direct a team tasked with the design and implementation of motion planning software for autonomous vehicles. This position requires leadership in defining the motion planning and control systems that enable our fleet to operate securely, effectively, and with passenger comfort in intricate settings. As a leader, you will drive the development of cutting-edge motion planning algorithms, collaborate with cross-functional teams (Localization, Perception, Prediction, Controls, ML Products, and Systems Engineering), and mentor a talented group of engineers to deliver state-of-the-art solutions. If you are passionate about autonomous driving, thrive on solving challenging real-world problems, and are eager to make a significant impact in a rapidly evolving field, we want to hear from you.

Role responsibilities:

• Lead and develop a team within the motion planning organization, assuming responsibility for planning algorithm and constraint generation.
• Collaborate with other leaders to provide technical direction, making critical decisions on architectural strategies, strategic resource allocation, operational execution, and technical debt management.
• Deliver a robust and scalable planner, prioritizing safety throughout the design, prototyping, testing, deployment, and production phases.
• Adopt a metrics-driven approach to the development and enhancement of technical components.
• Advance existing planning methodologies to facilitate data-driven strategies.
• Promote diversity and inclusion in both products and personnel.
• Mentor and offer constructive feedback (technical and professional) to team members, cultivating an inclusive and collaborative work environment.
• Demonstrate initiative in generating innovative ideas, formulating a team vision, and considering the holistic robotaxi system.
• Implement and review algorithms and code, applying rigorous engineering methodologies.
• Partner with project managers to develop roadmaps and execute plans according to schedule.

What we're looking for:

• Over two years of experience in the management of a development team, with a demonstrated ability to foster career growth, mentor team members effectively, and enhance productivity.
• Masters or PhD in Robotics, Electrical Engineering, Computer Engineering, Computer Science, Mechanical Engineering, or a related field.
• Established history of successfully delivering production-quality motion planner in a leadership capacity.
• Advanced proficiency in search algorithms.
• Experience in developing motion planning solutions with ML
• Expertise in C++ software development, Linux, and Python, with supplementary knowledge of SQL.
• Strong theoretical understanding and practical experience in motion planning under conditions of uncertainty, as well as in interactions with dynamic agents and environments.
• Knowledge of robotics algorithms in localization, perception, prediction, motion planning, and control systems for autonomous vehicles.
• Excellent communication, interpersonal, and management skills.

Skills appreciated

• Experience in Autonomous Vehicles or other robotics industries
• Experience using simulation tools
• Experience with Verification & Validation for safety critical systems

On our Behaviors team (Prediction and ML Planner), you will have the opportunity to work with world-class ML engineers, whose mission is to make self-driving vehicles a reality and to create a positive social impact. The Behaviors team develops ML models that learn how different agents navigate complex real-world traffic scenarios. We leverage these models to set the behavior of our self-driving vehicle, and predict the behavior of other agents such as vehicles and vulnerable road users. 

We are looking for proven leaders and technical experts who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company.

What You’ll Be Doing:

• Define and execute motion planning and prediction projects that improve our self-driving vehicles’ capability to safely, comfortably and legally navigate complex traffic scenarios
• Lead, manage and grow a team of engineers
• Design and lead the implementation of behavior models that leverage the latest advancements in machine learning, generative AI and reinforcement learning
• Productionize and deploy solutions onto autonomous vehicle fleets
• Collaborate with perception, simulation, data platform and integration teams to validate and enhance your products’ on-road performance
• Communicate strategies, progress and challenges to executive leadership

What We’re Looking for:

• Masters or Ph.D. in Computer Science or a related technical field; or equivalent industry experience
• Proven leadership skills at executing large, complex technical initiatives
• Extensive experience managing and leading engineers
• Experience with deep learning frameworks such as TensorFlow or PyTorch
• Fluency in Python, including standard scientific computing libraries
• Proven track record of designing, developing and deploying ML solutions for autonomous vehicles or robotics
• Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods 
• Excellent communication and interpersonal skills

Bonus Points:

• Experience with embedded systems and real-time optimization, especially in the autonomous driving industry
• Experience with state of the art generative AI, and/or reinforcement learning, paradigms
• Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
• Strong programming skills in C++ and/or CUDA programming

Mission:

We are seeking a highly skilled and motivated Senior Data Analysis Engineer for our large-scale AI model and software evaluation framework – Ground Truth Regression. The ideal candidate will have a strong background in data engineering, machine learning principals and statistical analysis. 

At Motional, large scale orchestration for data analysis plays a critical role in delivering our ML-centered autonomous driving vehicle. Our robo-taxi ML Models and software are developed by hundreds of developers and deployed multiple times a day – The Ground Truth Regression team provides the large scale perception analysis framework for validating all changes to perception which can impact the autonomous vehicle behavior. 

The GTRegression team validates the end impact of ML and software changes to the autonomous vehicle while those changes are in development, providing the tools for Root Cause Analysis, and safety consideration. We monitor for model errors, anomalies, rare objects & long-tail driving scenarios across thousands of driving hours. The team develops the full stack – AWS Kubernetes orchestration framework, ReSimulation, model metrics, regression reports, and deep dive analysis UI’s. The team works together with all other perception and ML teams to develop the metrics and analyze results.

What You'll Do:

• Work with ML Engineers and Autonomy Software Developers to develop new data analysis metrics and KPI’s for the validation of the autonomous vehicle performance.
• Drive innovation by researching and developing new large scale data analysis systems.
• Own large-scale data analysis workflows that surface unexpected impacts of planned and unplanned changes to the ML models and software.
• Build high-quality datasets to improve ML products through training & edge case validation.
• Provide statistical depth on model performance & generalization through rigorous error and change analysis.

What We're Looking For:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Strong programming skills in Python, SciPy, and related data analysis frameworks.
• Experience in machine learning, data mining, and statistical analysis.
• Experience with large-scale data processing and distributed computing technologies.
• Strong communication and software development skills: goal setting, design documentation, test frameworks, collaborative cross team development.
  
  

Bonus Points:

• Ph.D. in Computer Science or a related field.
• Experience with cloud platforms such as AWS, Google Cloud, or Azure.
• Experience with machine learning in the autonomous driving domain.
• Publications or contributions to the AI/ML community.

On Behaviors, you'll have the opportunity to work with world-class ML engineers and research scientists to make self-driving vehicles a reality and create positive social impact. Our team works on the tech stack responsible for understanding highly complex driving scenes and generating safe, comfortable driving trajectories for our robotaxi using the latest deep neural networks. We are looking for engineers who are passionate about Level 5 autonomous driving, excited by intellectual challenges, and interested in pursuing career growth with a fast growing company.

What You’ll Be Doing:

You will be directly responsible for training, evaluation, and deployment of our ML-based scene understanding, behavior prediction, and planning models. Day to day responsibilities include:

• Designing and executing high value experiments based on collaborative input from other machine learning engineers
• Prototyping and implementing continuously improving metrics to evaluate the performance of our behavioral models across many desired scenarios and robotaxi capabilities
• Timely release of major model updates, including analysis of both off-line and on-road evaluation data
• Staying up to date with the latest trends in our fast moving industry, and proposing new architectures and network designs based on published literature
• Maintaining a high quality training and evaluation code-base, including portions of our training stack dedicated to dataset generation and evaluation

What We’re Looking For:

• In-depth understanding of common Machine Learning and Deep Learning algorithms
• Experience designing, training, and analyzing neural networks for at least one of the following applications: motion planning, object detection, sensor fusion, motion prediction, and/or multi-object tracking
• Strong track record of tackling less well-defined problems, and executing efficiently to deliver the successful outcome
• Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, and  testing methods
• Experience with PyTorch or other python-based deep learning frameworks
• Experience working with large data sets and deriving insights from data
• Experience mentoring and collaborating with others

Education
Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience

Bonus Points

• Publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
• PhD in machine learning, computer vision, or robotics vision
• Experience working on autonomous vehicles or related fields
• Experience in deploying models into real-world environments
• Strong programming skills in C++ and/or CUDA programming
• This opportunity can support remote work within the United States, with occasional travel.

Working Conditions

While performing the duties of this job, the employee is frequently required to convey and detect communication

The employee occasionally required to remain stationary at times for up to 50% of working time, move in designated working areas; & operate and use office equipment

The employee may occasionally move up to 50 pounds

What we're looking for:

Motional’s global headquarters are located at 100 Northern Avenue in Boston, MA. Nestled in the bustling Seaport district with sweeping views of Boston Harbor and downtown Boston, the office is located close to major transit lines and a quick walk to various restaurants and popular attractions.

Mission Summary:

Motional’s CORE team is responsible for our vehicle’s Compute and Onboard Runtime Environment. We are creating a world leading AI compute platform for autonomous vehicles. This is the system that executes the software and neural networks that make our vehicles autonomous. 

The Next-Gen Technologies team is part of CORE. We work at the intersection of software engineering, machine learning, sensors, and hardware compute platforms to evolve Motional’s on-board vehicle architecture. If you are a software engineer and love the idea of working on embedded AI hardware and software systems to create the next generation of autonomous vehicles, we would love to talk with you. 

What You’ll Be Doing:

As a senior engineer in the Next-Gen Technologies team, you will help us improve the compute performance of our current generation and next-generation autonomous driving systems through participating in full lifecycle development from idea to proofs-of-concept to production. 

Specifically, you will:

• Focus deeply on ML model deployment, integration of multiple ML models, and ML model optimization on embedded compute platforms.
• Dive deep into the full ML software stack. Analyze ML workload performance on a variety of hardware processors, optimize ML models, improve ML software, and help us continually improve our stack through the application of efficient and effective ML approaches. 
• Design, develop, test, integrate, and optimize software and tools on a variety of ML compute architectures.
• Collaborate with deep learning experts in perception, prediction, and other autonomous driving application areas to enable algorithms on GPU, NPU, and other ML accelerator architectures.
• Optimize the utilization of GPU/NPU resources and sharing of GPU/NPU access across multiple programs running on the same system.
• Lead designs to determine the needs of the system and how to best meet those needs through continually improving our ML software stack.
• Advise peers and management on technical matters.

What We’re Looking For:

• Experience with machine learning accelerators, including GPUs, NPUs, TPUs, and their programming environments, including CUDA, TensorRT, or similar technologies.
• Strong experience with modern C++ development in a Linux environment.
• Experience with parallel and high-performance computing.
• Comfortable with experimentation and evaluating different options as we work towards finding solutions that work. 
• A degree in Software Engineering, Computer Science, Electrical or Electronic Engineering, or similar technical field of study, or you have equivalent knowledge gained through your practical experience.

Preferred, but not required:

• Experience with PyTorch, TensorFlow, ONNX, and/or other ML frameworks. 
• Experience with embedded systems development for ARM-based system-on-chip architectures.
• Experience working in a MLOps or DevOps environment.
• Passion for self-driving technology and its potential for positive impact on the world.
  
  

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

What You’ll Do 

During Your First 3–6 Months (HQ-Based Ramp) 

• Learn VEIR’s superconducting power system architecture, components, and operating principles 
• Support system assembly, integration, and testing at VEIR HQ 
• Gain hands-on experience with: 
  • Mechanical and electrical installation practices 
  • Cryogenic system components and handling procedures 
  • Instrumentation, sensors, and basic controls interfaces 
• Learn and document (as needed) installation procedures, safety protocols, and documentation standards 
• Learn and apply VEIR’s product quality standards, installation specifications, and acceptance criteria 
• Develop an understanding of inspection procedures and support routine inspections of deployed systems to ensure performance, reliability, and safety 
• Learn preventive and corrective maintenance procedures for fielded systems, including documentation and escalation of issues 
• Work closely with Engineering, System Integration, and Operations teams to understand how VEIR systems are deployed in the field 

During Pilot Deployments & Beyond 

• Travel to customer sites as part of VEIR’s installation and deployment team 
• Support on-site installation of VEIR systems, including mechanical, electrical, and cryogenic components 
• Assist with system commissioning, checkout, and functional testing 
• Troubleshoot issues during installation and early operation, escalating complex issues back to engineering as needed 
• Provide clear field feedback to VEIR engineering teams to improve designs, documentation, and processes 
• Support maintenance, diagnostics, and issue resolution during pilot operations 

To be successful in this role

• You'll bring a hands-on technical background in field service, installation, maintenance, or technician roles 
• You're comfortable working with physical hardware, tools, and equipment in lab and field environments 
• You have a willingness to learn complex systems and work across mechanical, electrical, and fluid systems 
• Ability to travel to customer sites during deployment phases 
• Strong attention to detail and commitment to safety 
• Clear communicator who works well with engineers, technicians, and customers 
• Experience with electrical systems, industrial equipment, HVAC, cryogenics, or power infrastructure 
• Experience working at customer sites, construction sites, data centers, or industrial facilities 
• Familiarity with instrumentation, sensors, or troubleshooting electromechanical systems 

VEIR is committed to equal pay for equal work in its compensation practices. The base salary range for this position in the U.S. is $65,000 - $80,000 per year + equity + benefits. A candidate's salary is determined by various factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location.

Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard Medical School. We are building an AI layer that can accurately and scalably synthesize information from medical records, with the mission to reduce friction everywhere in healthcare. Our LLM-powered platform is solving chart review once and for all, across use cases. For health systems, our first product dramatically accelerates clinical registry abstraction in areas ranging from surgery and cardiology, to oncology. Our long term vision is for our AI layer to safely transform patient care and minimize unnecessary heartbreak. Layer Health’s diverse founding team brings expertise across machine learning, UI/UX, large language models, and medicine.

Here’s a collection of articles about our product, mission, recent funding round, etc.

We’re looking for a dynamic individual to join us as a Solutions Engineer, working with health system customers to pilot clinical solutions using the Layer Health platform.  Working alongside another Solutions Engineer on our team, you'll leverage your technical expertise and understanding of both healthcare workflows and healthcare integrations to collaboratively build bleeding-edge prototypes of clinical solutions and help discover the next generation of applications through participative design and iterative development with customers, including some of the largest healthcare systems in the country.  You'll collaborate closely with the Customer Success, Sales, and highly engaged Product Engineering teams to understand customer needs, rapidly prototype solutions, and successfully implement lightweight pilots. You will be instrumental in bridging the gap between clinical requirements and technical solutions for our flagship product, and you will be a pioneer for use case and product discovery for the company.

What you’ll do

• Partner with the Clinical Informatics and Customer Success teams to understand customer challenges and work collaboratively to develop and pilot clinical solutions that leverage the Layer Health platform.
• Work closely with Engineering to encourage best practices, adopt the latest developer tooling, and assess feasibility of translating proof-of-concepts into production.
• Produce documentation, including technical design and architectural diagrams, for these solutions. 
• Provide technical troubleshooting and support for clinical solutions.
• As part of the Clinical Informatics team, work to align solutions with clinical workflows, standards, and integration pipelines.
• Work closely with Product so that lessons learned from pilots translate to future product roadmaps.
• Work with Clinical Informatics to streamline the initial testing and validation of integrations with Health Systems (FHIR, HL7, etc.)
• Perform initial exploratory data analysis (EDA), working with our ML and data science teams to make sense of clinical data for downstream uses.
• Stay current with industry trends, clinical standards, and emerging technologies relevant to clinical solutions.

What you’ll need

• 3-5 years of experience deploying solutions into health care systems in a solutions engineering, clinical informatics, or technical sales role.
• Strong understanding of clinical workflows, data, and standards (e.g., HL7, FHIR).
• Fluency in Python, Pandas, standard API frameworks, and other common programming languages and libraries.
• Deep understanding of HIPAA and requirements for deploying secure solutions.
• Excellent communication, presentation, and interpersonal skills.
• Ability to work collaboratively across internal teams.
• Passion for transforming healthcare with state-of-the-art AI technology.

Expected compensation range for this role is $180,000-200,000. Compensation is dependent on experience, overall fit to our role, and candidate location. Expected compensation ranges for this role may change over time. If your compensation requirement is greater than our posted salary ranges, please still consider applying to our role. We will make a determination as to whether an exception can be made. 

If you are excited about this role, we encourage you to apply even if you don't feel that you meet every single requirement. We're eager to meet people that believe in our mission and can contribute to our team in a variety of ways. We welcome diverse perspectives, rigorous thinking, and fearlessness in challenging the status quo. 

Layer Health is committed to fostering an environment of inclusion that is free from discrimination.  We are an Equal Opportunity Employer where employment is decided on the basis of qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected Veteran status, or any other characteristic protected by law.

Join us and help us transform healthcare with AI.

In the first 3 months you'll

• Ramp up on VEIR's cable systems architecture, including system interfaces, installation methods, performance requirements, LV power distribution topology, and data center application use cases. 
• Develop deep familiarity with VEIR's existing cable specifications, design tradeoffs, and constraints across conductor types, connectors, busbars, and insulation systems. 
• Conduct voice-of-customer (VoC) discovery with data center operators, electrical contractors, and internal applications and commercial teams to validate cable system requirements and pain points. 
• Perform competitive and ecosystem analysis of the data center power electronics landscape, including LV distribution equipment suppliers (busbars, cable conductors, switchgear) and key industry players. 
• Create initial product strategy and business case documents covering target use cases, technical requirements, cost targets, pricing assumptions, and certification obligations. 

In the first 6 months you'll

• Own and maintain product requirements and specifications for VEIR's cable systems, defining fault current ratings, voltage drop budgets, ripple limits, connector interface requirements, and applicable compliance standards (UL, NEC, IEC, IEEE). 
• Lead NPI stage-gate execution for cable systems products, ensuring designs progress from concept through prototype, validation, and commercial readiness, actively negotiating requirements and tradeoffs with engineering. 
• Partner closely with electrical, mechanical, systems, and manufacturing teams to ensure cable designs are optimized for performance, reliability, scalability, supply chain availability, and field installation. 
• Drive UL and relevant certification activities for cable systems products, working with engineering and third-party test labs to plan, execute, and document certification programs. 
• Serve as the technical product expert for commercial and applications teams, supporting customer conversations, technical evaluations, and early pilot deployments. 

By the end of the first year you will have

• Defined and executed the product roadmap for VEIR's cable systems portfolio, balancing near-term pilot delivery commitments with longer-term platform evolution toward medium-voltage capability. 
• Successfully driven one or more cable systems products through launch or pilot deployment, meeting MVP performance, cost, certification, and reliability targets. 
• Established clear, differentiated value propositions for VEIR's cable systems versus conventional alternatives in the data center power delivery market. 
• Developed and maintained technical product collateral including specification sheets, installation guides, compliance documentation, and sales enablement materials. 
• Acted as the cross-functional product leader, aligning engineering, manufacturing, supply chain, quality, and commercial teams around shared cable systems priorities and milestones. 

To be successful in this role

• Bachelor's degree in Electrical Engineering required; advanced degree a plus. 
• 5–10 years of combined experience in electrical engineering and hardware product management, with direct experience in power electronics or low-voltage power distribution systems. 
• Deep, hands-on knowledge of low-voltage power distribution hardware, including cable conductors, busbars, and connectors is required; medium-voltage experience strongly desirable. 
• Strong understanding of AC/DC electrical architectures used in data center power delivery, including distribution topologies, switchgear integration, and server rack power paths. 
• Strong command of the data center power electronics ecosystem, including familiarity with major suppliers and the competitive landscape across LV distribution equipment. 
• Demonstrated experience defining and negotiating technical requirements and product specifications for NPI power electronics products, including fault current ratings, voltage drops, ripple specifications, and porting and connection interface requirements. 
• Hands-on experience managing NPI stage-gate lifecycles for physical hardware, from early concept through commercial launch. 
• Direct experience leading or supporting UL certification programs for power electronics or LV electrical hardware; familiarity with NEC and IEC standards. 
• Experience translating customer and application requirements into clear, testable product specifications in collaboration with engineering teams. 
• Strong communication and cross-functional leadership skills, with the ability to drive alignment across engineering, manufacturing, supply chain, quality, and commercial stakeholders. 
• Data center industry experience highly desirable. 

You are: 

• Technically rigorous. You go deep on the engineering details, can hold your own in specification reviews, and know how to push back constructively when requirements need to evolve. 
• A strong owner. You take accountability for product outcomes end-to-end, from requirements definition through certification, launch, and customer deployment. 
• Customer-oriented. You ground product decisions in real customer needs, particularly the demands of data center power delivery environments. 
• Collaborative and influential. You can align diverse cross-functional teams without direct authority and communicate clearly across engineering, commercial, and executive audiences. 
• Energized by ambiguity. You thrive in fast-moving, early-stage environments where product requirements evolve and first-principles thinking is required. 
• Mission-driven. You are motivated by VEIR's mission to enable transformative energy infrastructure and are excited to bring genuinely novel hardware to market. 

VEIR is committed to equal pay for equal work in its compensation practices. The base salary range for this position in the U.S. is $150,000 - $170,000 per year + equity + benefits. A candidate's salary is determined by various factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location.

About the Role:

Stylus Medicine is seeking an intellectually curious and collaborative Senior Scientist, who will lead the development of upstream microbial fermentation processes as part of our CMC Tech Ops team. This role will be responsible for process definition, development, characterization, scale-up and tech transfer from bench scale to pilot. Working closely with the Research, Preclinical, and Formulation teams, this is a special opportunity to advance the development of transformative in vivo genetic medicines.

Key Responsibilities & Accountabilities:

• Develop scalable production processes for nucleic acids and recombinant proteins
• Leverage expertise in fermentation and mammalian cell culture to design, optimize, scale-up and characterize production processes
• Independently utilize multivariate design of experiment (DoE) approaches to improve productivity and optimize parameters for product quality
• Drive fermentation platform development and new technology implementation to improve process performance, generation of predictive process models, and enhance process control and robustness
• Design and implement in-process analytics to improve productivity while reducing process and product derived impurities
• Maintain and troubleshoot equipment to ensure consistency and continuity of operations
• Document, analyze and present experimental results internally and externally
• Partner with CDMOs and provide technology transfer support to facilitate scale up
• Interface with cross-functional teams to ensure programs are on track and stakeholders’ needs are met
• Maintain accurate and reliable record keeping including database management, batch records, notebooks, and all other pertinent documentation

Qualifications & Skills:

• PhD in Chemical/Biomedical Engineering, Biochemistry, Pharmaceutical Sciences, or related discipline with >4 years of experience, or BS/MS with >8 years of experience in biopharmaceutical or biotechnology development, including experience in developing scalable fermentation processes for producing plasmid DNA and/or recombinant products
• In-depth experience and knowledge in fermentation process development, optimization, and process scale-up / scale-down model development
• Familiarity with strain engineering and biocatalysis
• Familiarity with performing operations in a cleanroom environment, applying controls to ensure aseptic processing
• Demonstrated ability to coach and mentor junior researchers
• Independently motivated and good problem-solving ability
• Attention to detail and accuracy in developing, reviewing, and following protocols, SOPs, batch records and technology transfer documents is a must
• Demonstrated ability to work collaboratively across teams to meet project deliverables and timelines
• Strong communication, decision-making and organizational skills
• Proficiency with statistical analysis software (e.g., JMP) is highly desired
• Prior experience partnering with external CDMOs and conducting tech transfers preferred

Pay Range: $155,000 - $170,000

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

Toast is launching a new initiative to bring the power of voice AI into the in-store restaurant experience. While voice has transformed drive-thru and phone ordering, we believe there’s a large opportunity to make in-store experiences better for guests and more proficient for restaurant teams. This team will explore voice capabilities across front-of-house (guest ordering, service interactions, POS assistance) and back-of-house (kitchen coordination, hands-free workflows, inventory signals). As the Principal Product Manager — Voice AI (In-Store) on the Commerce Platform, you’ll define strategy, evaluate vendors and partners, run zero→one discovery and pilots in real restaurants, and lead commercialization — creating a reusable voice platform that powers multiple use cases across the restaurant.

A day in the life (Responsibilities) 

• Define vision & portfolio strategy. Own the long-term vision and multi-quarter roadmap for in-store voice AI and the platform that enables multiple use cases across FOH/BOH. Balance short-term pilots with long-term platform investments.
• Run vendor & technical evaluation. Lead technical evaluation of voice and AI vendors (ASR, NLU, TTS, edge inference, on-device options) and create benchmarking frameworks for accuracy, latency, privacy, and cost.
• Lead commercial conversations. Drive vendor commercial discussions (pricing models, licensing, SLAs) and surface negotiation points — partnering with Procurement and Legal who finalize contracts and budget approvals.
• Drive zero → one discovery and pilots. Plan and execute discovery, rapid prototyping, and in-restaurant pilots; iterate based on operational feedback and scale successful experiments.
• Design a reusable voice platform. Define APIs, integration patterns, data flows, and tooling that make voice capabilities reusable across guest experiences, staff workflows, and integrations with POS, kitchen systems, and telemetry services.
• Lead GTM & commercialization. Define pricing, packaging, and go-to-market strategy with Product Marketing, Sales, and Operations; identify commercial models that fit restaurants of different sizes.
• Coordinate cross-functional delivery. Align Engineering, Hardware Ops, Reliability, Security, Data, Research, Design, Care/Onboarding, and GTM partners to de-risk delivery and adoption.
• Drive operational readiness & reliability. Define operational playbooks, observability, edge/online failover modes, and post-launch monitoring to ensure reliable in-store behavior and low support cost.
• Champion field research & validation. Spend time in restaurants to learn operational workflows, validate prototypes, and iterate with real staff and guests.
• Mentor & shape product practice. Coach senior PMs and engineers on voice/AI product development, vendor evaluation, and responsible AI practices; contribute to the Product Playbook.
• Embrace and advocate for the use of AI tools to accelerate product discovery, streamline execution, and explore new product experiences - helping shape how we build and what we build.

What you'll need to thrive (Requirements)

• AI product delivery experience. ~8+ years shipping complex software products with demonstrated ownership of multi-team programs or a major product portfolio, and experience delivering AI-enabled features or products.
• AI Model Evaluation. Hands-on experience defining and owning AI model evaluation (examples: WER/CER, intent accuracy, wake-word false accept/reject, latency, completion/task success), building continuous evaluation and model ops processes (drift detection, automated regression tests, A/B testing, rollback/mitigation playbooks), and partnering with ML teams to run experiments and error analysis.
• Zero → one experience. Proven track record taking a product from discovery through prototype and pilot to scale.
• Vendor evaluation & commercial acumen. Hands-on experience evaluating AI/voice vendors and participating in vendor commercial conversations (note: Procurement/Legal finalize contracts).
• Platform mindset. Ability to design reusable APIs and platform capabilities that enable multiple downstream use cases and teams.
• Customer & ops empathy. Experience conducting on-site discovery and validating prototypes in operational environments (restaurant or other physical venues).
• Cross-team leadership. Exemplary stakeholder management and ability to align senior partners across hardware, engineering, ops, and GTM, especially on high-visibility initiatives.
• Communication & influence. Clear, persuasive written and verbal communication; able to synthesize technical tradeoffs and business value for executives and partners.

Special Sauce* (Nice to Haves)

• Speech / voice product experience. Prior experience building voice AI products (ASR/NLU/TTS, or working directly with speech teams) is helpful but not required.
• Conversational UX & dialog design. Experience designing conversational flows, state management, turn-taking, error recovery and graceful degradation
• Exposure to hardware considerations for voice (far-field audio, beamforming, noise cancellation, embedded audio processing).
• Experience with on-device / edge inference and hybrid cloud/edge voice architectures (model quantization, latency/footprint tradeoffs).
• Familiarity with privacy, compliance, and PII handling for voice data (on-device vs cloud processing, country-level regulations).
• Background in restaurant, retail, or other physical-world operations.
• Experience with ML lifecycle tooling, continuous model evaluation, and production A/B testing strategies for AI features.

You’ll be measured on (suggested success metrics)

• Launch and adoption of successful in-store voice pilots (pilot → scale conversion).
• Measurable operational impact (e.g., staff time saved, reduction in order errors, throughput gains).
• Guest experience improvements (NPS/CSAT lift for voice flows, voice take rate).
• Platform reuse (number of distinct use cases / teams reusing core voice APIs).
• Reliability & support outcomes (uptime targets, reduction in Care tickets related to voice).
• AI health & model performance: model accuracy (WER/intent accuracy), latency, drift rate, and rate of regressions caught by CI/monitoring systems.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy

We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

^#LI-REMOTE

The Brattle Group, a privately held, global economics consulting firm, is looking for a Senior Data Engineer (Applied AI/ML) to join our Boston, MA office. The Senior Data Engineer at Brattle has a dual role spanning both client-facing project work and substantial internal research and development. The role sits at the intersection of data engineering, applied machine learning, and analytical consulting. Senior Data Engineers translate complex client questions and messy real-world data into defensible analytical approaches, exercising judgment about when classical statistical methods, machine learning techniques, or newer approaches such as generative AI are appropriate.

On client engagements, Senior Data Engineers define technical approaches, lead analytical workstreams, and make key implementation decisions while collaborating closely with Principals, consultants, and subject-matter experts. They evaluate modeling strategies, articulate technical trade-offs, and guide teams toward practical solutions that hold up under real-world data and time constraints.

Beyond project delivery, the role contributes significantly to internal research and development focused on expanding the team’s analytical capabilities. This includes researching and prototyping new methods, tools, and workflows across structured and unstructured data, including text analysis, vector-based methods, and LLM-enabled approaches, and helping transition promising prototypes into approaches that can be applied in client work.

The role emphasizes modeling judgment, feature design, and evaluation rather than routine pipeline construction, building on Brattle’s existing work in Python-based machine learning, unstructured data analysis, and generative AI workflows.

Some of the day-to-day responsibilities of this role include:

• Define and lead technical workstreams for client and internal projects, including selecting analytical approaches, evaluating modeling strategies, and determining appropriate tools and methods for the problem context
• Triage and assess incoming client data from a wide range of sources and maturity levels, determining data readiness, required normalization, and appropriate analytical paths
• Exercise independent judgment in ambiguous situations, evaluating competing analytical approaches and technical trade-offs, and articulating clear recommendations to project teams, Principals, and clients
• Translate complex client questions and messy real-world data into appropriate analytical methods, determining when classical statistical methods, machine learning techniques, generative AI workflows, or simpler approaches are warranted
• Research, prototype, and evaluate new analytical methods, tools, or workflows that expand the team’s capabilities, particularly in areas such as text analysis, unstructured data, vector-based methods, and LLM-enabled workflows
• Develop proof-of-concept analyses and models, and structure handoff plans for junior engineers to implement, refine, and scale where appropriate
• Review code submitted by engineers, providing technical feedback and guidance on design, modeling choices, and maintainability
• Write reproducible Python-based analyses for data processing, unstructured data exploration, modeling, and evaluation
• Contribute to internal documentation, training, and knowledge sharing, helping establish recommended practices and reusable analytical approaches
• Coordinate with IT as needed on software licensing, tooling evaluation, and deployment of new analytical technologies

THE CANDIDATE

• Bachelor’s Degree in Computer Science, Computer Engineering, or related field; advanced degree is a plus
• 4–7 years of professional experience in data engineering, analytics, or related technical roles
• Proven track record delivering complex, ambiguous data projects, including selecting approaches and managing trade-offs
• Demonstrated ability to research and pilot new technologies or methodologies
• Strong proficiency in Python for data processing, automation, exploratory analysis, and modeling
• Applied machine learning experience, including evaluating and contrasting modeling approaches (e.g., classification, ranking, clustering, vector-based methods, and generative AI techniques) based on problem context, data quality, and practical constraints
• Experience with feature design, model evaluation, and interpretation using real, messy datasets
• Experience working with structured and unstructured data sources, including text-heavy datasets and heterogeneous data environments
• Proficiency in SQL and relational data concepts, including joins, aggregation, and performance-aware querying
• Familiarity with cloud platforms such as Azure (or comparable environments) for data storage, compute, and analytical workflows
• Hands-on experience with version control (Git) and collaborative development practices
• Ability to select appropriate tools, analytical approaches, and modeling strategies based on the problem context and available data
• Strong mentorship and coaching skills, including reviewing code and providing feedback to junior team members
• Excellent written and verbal communication skills for both technical and non-technical audiences
• Effective at cross-functional collaboration, coordinating with other teams (IT, DevOps, consulting)
• Ability to translate complex technical concepts into actionable solutions

Brattle offers a competitive benefits package, base salary, and bonus program for eligible roles based on individual and firm performance. The anticipated base gross salary range for this position in Boston, MA is $125,000 - $135,000 annually.  Actual salary will depend on a variety of factors, including experience and training.

This position is not eligible for immigration sponsorship.

EQUAL OPPORTUNITY

The Brattle Group is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, citizenship status, national origin, ancestry, sex, gender identity and expression, age, height, weight, domestic partner status, Acquired Immune Deficiency Syndrome or HIV status (AIDS/HIV status), genetic information, sexual orientation, disability (where the applicant or employee is qualified to perform the essential functions of the job with or without reasonable accommodation), marital status, veteran status, political affiliation, drug or alcohol abuse or alcoholism, or any other characteristic protected under applicable law.

We encourage all applicants to click here to review our full Equal Employer Opportunity Statement.

In the first three months you will... 

• Develop a deep understanding of VEIR’s medium voltage cable technology, termination units, and cryogenic cooling systems. 
• Learn about VEIR’s current and future product offerings, performance characteristics, and system integration requirements. 
• Build foundational knowledge of VEIR’s target markets, including utility, renewable, and data center power distribution applications. 
• Shadow customer and partner meetings to observe how VEIR positions its technology and communicates technical value. 
• Begin developing familiarity with electrical schematics, protection and control diagrams, and substation interconnection design practices. 

In the first six months you will... 

• Take ownership of technical scoping conversations with customers and partners, identifying where VEIR’s medium voltage technology can be applied. Specifically identifying compatible substations equipment to interconnect our cables. 
• Review and interpret customer design packages (one-lines, site plans, protection and control schemes) to assess integration opportunities. 
• Collaborate with VEIR’s engineering and product teams to translate customer needs into defined technical requirements and early project concepts. 
• Support the development of technical presentations, application notes, and customer proposals. 
• Contribute to pilot opportunity identification by mapping VEIR’s capabilities to upcoming customer or market projects. 

By the end of your first year you will... 

• Serve as the primary technical liaison for selected customer engagements or pilot projects. 
• Lead design reviews and integration discussions with EPCs, utilities, and data center engineering teams. 
• Help guide the engineering and product teams in refining system designs based on customer feedback and field insights. 
• Represent VEIR at customer sites, industry events, and design meetings to advocate for the adoption of VEIR’s technology. 
• Contribute directly to securing VEIR’s first medium voltage pilot or commercial project, helping bring superconducting cable solutions to market. 

To be successful in this role... 

• A Bachelor’s degree in Electrical Engineering (Civil or Mechanical Engineering considered with relevant experience). 
• 5-10 years of experience in electrical design or field engineering related to medium voltage systems (sub 69kV), substation design, or power transmission & distribution. 
• Familiarity with one-line diagrams, and electrical interconnection design and protection and control schemes. 
• Experience specifying and selecting substation switchgear.  
• Experience supporting construction or project execution activities (EPC, owner’s engineer, or similar). 
• Familiar with NESC, NEC, IEEE, IEC standards. 
• Familiar with standards for power and transmission distribution systems. 
• Strong understanding of power system fundamentals, equipment ratings, and interconnection standards. 
• Excellent communication and interpersonal skills, with the ability to work effectively with both customers and internal engineering teams. 
• (Nice to have) Prior experience as a Field Engineer or involvement in installation, testing or commissioning medium voltage equipment or systems. 

VEIR is committed to equal pay for equal work in its compensation practices. The base salary range for this position in the U.S. is $140,000 - $165,000 per year + equity + benefits. A candidate's salary is determined by various factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location.

Summary:  Onbe seeks an impactful Sales Executive Senior Director  to establish new, high potential partnerships with channel partners in the financial services space. Leveraging our global reach and proprietary technology, this role will help establish partnerships and partner models that deliver scaled distribution to Onbe and value to our partners in their efforts to retain, grow and expand their customer base. Our solutions focus on payments to consumers, workforces, and service providers, including refunds, rewards, and payroll delivered digitally and physically. The ideal candidate will possess deep industry knowledge, excel in relationship building, strategic thinking, and negotiation. Key responsibilities include identifying high fit/high potential new partners, leading deal teams, navigating complex negotiations, defining partnership priorities and key KPIs, and launching the relationship to maximize value for both parties. Reporting to senior leadership, the candidate will ensure alignment with organizational priorities and drive mutual growth. 

This position is remote, but it's essential that candidates reside within 30 miles of the Metro Boston area. The role may occasionally require in-person meetups and travel.

Responsibilities: 

Develop a target list of high fit/high potential new partnerships; manage a diverse pipeline and secure new partners in support of Onbe’s channel distribution strategy. 

Establish relationships with multiple partner stakeholders; build trust and uncover organizational priorities, operating structures and decision-making criteria. 

Assemble and lead deal teams; based on a deep understanding of partner’s priorities and decision-making processes, define and articulate win strategies to execute a successful organizational selling motion. 

In line with partner priorities and go-to-market practices, ensure partner is equipped with scalable pricing models and product options.

Lead pricing and contracting negotiations; architect meaningful incentive structures to motivate partner to drive volume.

Develop partnership plans to ensure alignment between partner and Onbe: document mutually identified revenue goals, priorities, resources, roles & responsibilities and KPIs.

Bring Onbe resources (e.g., project management, channel marketing, relationship management, etc.) to the field to set the partnership up for long-term success. Provide oversight and ensure successful launch of partnership through pilot.

With a land & expand mindset, uncover additional opportunities for Onbe to add value within the partner ecosystem or via referrals; win opportunities across new buying centers and nurture a network/referral effect to extend the value of the partnership.

Qualifications: 

10+ years in a consultative B2B2C sales role  

Experience in payments and disbursements preferred. 

Familiarity with the refunds, incentive or rewards spaces is a plus. 

Demonstrated ability to sell to multiple C-level personas, including finance, marketing and digital engagement personas. 

Must display excellent verbal and written presentation, interpersonal and communication skills. 

Experience working with a CRM such as Microsoft Dynamics or Salesforce 

Up to 20% domestic travel may be required 

The base salary range for this position is between $159,480.00 to $178,500.00 plus commission. The actual base salary offered depends on a variety of factors, including but not limited to the qualifications of the individual applicant for the position, years of proven experience, specific and unique skills, level of education attained, certifications or other professional licenses held, business needs, and market demand. Our competitive benefits include medical, dental, vision, wellness, 401(k) matching, open paid time off, generous parental leave, and more! Our job titles may span more than one career level. All candidates are encouraged to apply. #li-hybrid