{"id":517093,"url":"https://alion.io/job/motional-senior-engineer-2","title":"Senior Engineer","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":84,"open_postings":16,"ghost_share":0,"stale_share":0.438,"repost_share":0,"time_to_fill_p50_days":85,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Boston, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":168000,"max":244000,"currency":"USD","period":"year","gross":null,"usd_annual":244000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Looker","optional":false},{"name":"Machine Learning","optional":false},{"name":"MySQL","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-06-23T20:31:33Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-31T15:44:26Z","board_verified":true,"closed_at":null,"days_open":129,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":129},"description":"What You’ll Do: \nWork on large-scale solutions for mining challenging driving scenarios to boost learned model performance across various autonomous driving tasks. \nCollaborate with ML (Machine Learning) infrastructure teams and contribute to workflows for continuous learning through iterative mining, error analysis, training and deployment. \nResearch and develop methods for extracting uncertainty and informativeness indicators to automatically mine for challenging scenes and analyze model performance. \nProvide statistical depth and insights on model uncertainty, generalization and robustness. \nConduct deep learning experiments and write technical reports. \nProvide guidance to junior researchers on research projects and design document reviews. \nMay work remotely from any U.S. state. \nMay work remotely from any U.S. state. \n What You Bring: \nBachelor’s degree in computer science, information technology, or a closely related technical field;\nPlus five years of post-bachelor’s industry experience. \nExperience must include: industry experience with Python, production-quality software development, applying solid software engineering principles such as configuration management, source control, build processes, code reviews, testing methodologies, app containerization, and continuous integration, core AWS services (S3, RDS, Athena, Redshift or EKS), and DBMS (PostgreSQL, MySQL, MongoDB or SQLlite); \nindustry experience writing SQL queries for data analysis purposes, data modeling and dashboarding for data analysis purposes (Looker or Redash), architecting and shipping high-performance & large-scale distributed systems deployed in real world robotics applications, conducting system & software design, project management and practicing agile methodologies. \n\nThis position is eligible for employee referral program. \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$168,000—$244,000 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. 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