{"id":179011,"url":"https://alion.io/job/motional-principal-engineer-data-ml-infrastructure","title":"Principal Engineer, Data & ML Infrastructure","company":{"id":66433,"name":"Motional","domain":"motional.com","url":"https://alion.io/company/motional-com","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":83,"open_postings":14,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":91,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Boston, United States","Pittsburgh, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":200000,"max":275000,"currency":"USD","period":"year","gross":null,"usd_annual":275000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"Go","optional":false},{"name":"Kubernetes","optional":false},{"name":"Python","optional":false},{"name":"ClickHouse","optional":true},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2025-08-15T16:37:16Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-17T09:33:33Z","board_verified":true,"closed_at":null,"days_open":427,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":427},"description":"Mission Summary:\nWe are seeking a highly skilled and motivated Principal Engineer for our large-scale autonomous vehicle evaluation framework. The ideal candidate will have a strong background in cloud infrastructure, distributed systems and technical leadership, with experience in developing and deploying advanced large-scale orchestration frameworks to support simulation and evaluation workloads.\nAt Motional, large-scale orchestration for simulation, evaluation, and 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 engineers and deployed multiple times a day. The Ground Truth Regression team provides a large-scale perception analysis framework for validating all changes to perception that can impact the autonomous vehicle behavior.\nThe 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. \nWhat You'll Do: \nDrive innovation by researching and developing new large-scale data warehousing frameworks.\nMaintain and scale a large-scale orchestration framework with a focus on reliability, fault tolerance, and cost efficiency.\nOwn large-scale data analysis workflows that surface unexpected impacts of planned and unplanned changes to the ML models and software.\nProvide technical leadership by setting architectural direction, driving engineering best practices, and mentoring engineers through design and code reviews\nManage project timelines, resources, and deliverables to ensure successful project execution.\nWhat We're Looking For:\nBachelor's or Master's degree in Computer Science, Data Science, or a related field.\nExcellent communication and problem-solving skills.\nProficiency in Go (Golang) and Python for building high-performance, concurrent microservices and platform tooling\nDeep hands-on experience building production infrastructure on public clouds (AWS, GCP, or Azure) and managing containerized workloads at scale using Kubernetes (K8s).\nExperience with large-scale data processing and distributed computing technologies.\nBonus Points:\nPh.D. in Computer Science or a related field.\nKnowledge of or hands-on experience with OLAP databases (e.g., ClickHouse) for data analysis.\nExperience with machine learning in the autonomous driving domain.\nHands-on experience architecting large-scale orchestration platforms that run multi-thousand GPU/CPU workloads reliably and cost-efficiently.\nExperience in machine learning, data mining, and statistical analysis.\nThe salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. \nCandidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.\nSalary Range\n$200,000—$275,000 USD\nMotional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.\nOur journey is always people first.\nWe aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.\nHigher purpose, greater impact.\nWe’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do. \nScale up, not starting up.\nOur team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.\nFormed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.\nMotional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.","description_format":"text","description_chars":5875,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan","Equity","Life insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Autonomous Driving","Smart Mobility"],"lifecycle":[{"event":"open","at":"2026-08-31T11:15:42Z"}],"visa":[],"liveness":{"score":10,"band":"cold","label":"Long shot","p_open":1,"p_active":0.365,"p_room":0.28,"age_days":427,"expected_fill_days":91,"reasons":["conf:0","stale_co","velocity","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":275000,"is_top_pay":true},"html_url":"https://alion.io/job/motional-principal-engineer-data-ml-infrastructure","json_url":"https://alion.io/job/motional-principal-engineer-data-ml-infrastructure.json","meta":{"generated_at":"2026-10-17T09:54:17Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":13017,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":66433},"rest":"https://alion.io/mcp/rest/get_company?id=66433"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmotional-principal-engineer-data-ml-infrastructure"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fmotional-principal-engineer-data-ml-infrastructure"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fmotional-principal-engineer-data-ml-infrastructure"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/motional-principal-engineer-data-ml-infrastructure\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmotional-principal-engineer-data-ml-infrastructure"}]}