{"id":2678179,"url":"https://alion.io/job/amazon-principal-applied-scientist-mobile-manipulation-robotics","title":"Principal Applied Scientist, Mobile Manipulation Robotics","company":{"id":19,"name":"Amazon","domain":"amazon.com","url":"https://alion.io/company/amazon","size_band":"1-10","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":83,"open_postings":4485,"ghost_share":0,"stale_share":0.89,"repost_share":0.001,"time_to_fill_p50_days":18,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Robotics","role_family":"Robotics","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["North Reading, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":198900,"max":269000,"currency":"USD","period":"year","gross":null,"usd_annual":269000},"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Motion Planning","optional":false},{"name":"Autonomous Navigation","optional":true},{"name":"C++","optional":true},{"name":"Perception","optional":true},{"name":"Python","optional":true},{"name":"Self-Supervised Learning","optional":true}],"status":"live","first_seen_at":"2026-07-06T00:00:00Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-22T13:37:07Z","board_verified":true,"closed_at":null,"days_open":108,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":108},"description":"Amazon Robotics is revolutionizing warehouse automation at unprecedented scale. We are looking for a technical lead to own the whole-body planning, control, and optimization stack for the Phoenix mobile manipulation robot. In this role, you will design and ship motion planners and controllers that coordinate all of Phoenix's degrees of freedom (mobile base, torso, arm, and end-effector) as a single unified system, enabling smooth, safe, and production-ready autonomous manipulation in Amazon fulfillment environments.\nYou will architect whole-body motion planning pipelines (task-and-motion planning, trajectory optimization) that generate collision-free, time-efficient trajectories across the full kinematic chain. You will develop and tune real-time whole-body controllers, including QP-based and model-predictive approaches, and integrate them with the Foundry Controller mainline. A key part of the role is ensuring planner-generated trajectories are high-quality enough to train downstream foundation model policies (e.g., π0.5) at scale. You will also extend Phoenix's Control Barrier Function (CBF) safety architecture, guaranteeing constraint satisfaction from planning through execution.\nAbout the team\nAmazon Robotics develops and deploys advanced robotic systems that power Amazon's fulfillment centers worldwide. Our innovations in mobile manipulation, autonomous navigation, and human-robot collaboration are transforming how products move through our network, enabling faster delivery times while creating safer, more ergonomic work environments for our associates.\nBasic qualifications\n- PhD in Robotics, Computer Science, Mechanical Engineering, or a related field, with 7+ years of relevant research experience after degree; or Master's degree with 12+ years of equivalent experience\n- Experience developing and deploying real-time controllers on physical robotic hardware\n- Demonstrated ability to influence technical strategy across multiple teams and organizations\nPreferred qualifications\n- Proficiency in Python and C++ with experience writing production-grade code\n- Proven track record of publications at top-tier venues (e.g., CVPR, ICCV, ECCV, NeurIPS, ICRA, RSS, CoRL)\n- Experience with real-time perception on resource-constrained hardware (edge compute, embedded GPUs)\n- Track record of building perception systems that generalize across multiple sensor configurations or robot platforms\n- Experience with foundation models or large-scale self-supervised learning applied to robotics perception\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\nOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.\nThe base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.\nUSA, MA, North Reading - 198,900.00 - 269,000.00 USD annually","description_format":"text","description_chars":3867,"description_truncated":false,"requirements":{"experience_years_min":12,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Health insurance","Parental leave","Restricted stock units"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Robotics AI","Advertising","Logistics","Logistics & Warehouse Robotics"],"lifecycle":[{"event":"open","at":"2026-10-16T05:45:48Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 16,768 · green card filings: 56","filings_12m":16768,"filings_prev_12m":16262,"green_card_filings_12m":56,"median_offered_wage_usd":162609,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":7610}],"liveness":{"score":5,"band":"cold","label":"Long shot","p_open":1,"p_active":0.179,"p_room":0.28,"age_days":108,"expected_fill_days":18,"reasons":["conf:1","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-22T06:10:10Z"},"pay":{"stated_usd_annual":269000,"is_top_pay":true},"html_url":"https://alion.io/job/amazon-principal-applied-scientist-mobile-manipulation-robotics","json_url":"https://alion.io/job/amazon-principal-applied-scientist-mobile-manipulation-robotics.json","meta":{"generated_at":"2026-10-22T16:58:22Z","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":17708,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-23T00:00:00Z"}},"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":19},"rest":"https://alion.io/mcp/rest/get_company?id=19"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Famazon-principal-applied-scientist-mobile-manipulation-robotics"},{"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%2Famazon-principal-applied-scientist-mobile-manipulation-robotics"},{"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%2Famazon-principal-applied-scientist-mobile-manipulation-robotics"},{"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/amazon-principal-applied-scientist-mobile-manipulation-robotics\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Famazon-principal-applied-scientist-mobile-manipulation-robotics"}]}