{"id":117562,"url":"https://alion.io/job/latitude-ai-senior-hardware-engineer-radar-2","title":"Senior Hardware Engineer, Radar","company":{"id":9305,"name":"Latitude AI","domain":"lat.ai","url":"https://alion.io/company/latitude-ai","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":6,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":35,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Hardware","role_family":"Hardware","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Pittsburgh, United States","Palo Alto, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":191920,"max":287880,"currency":"USD","period":"year","gross":null,"usd_annual":287880},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":true,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"ROS","optional":false},{"name":"Wireshark","optional":false},{"name":"FMEA","optional":true}],"status":"live","first_seen_at":"2026-08-24T13:33:08Z","employer_posted_date":"2026-09-02","last_verified_at":"2026-10-29T20:47:48Z","board_verified":true,"closed_at":null,"days_open":66,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":66},"description":"Latitude AI (lat.ai) is building the future of Ford’s autonomy roadmap to make travel safer, less stressful, and more enjoyable for everyone. Bringing this vision to scale, our fully in-house developed hands-free ADAS platform will debut on the all-new Ford Fathom in 2027. \nWhen you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering - all dedicated to redefining the relationship between people and their vehicles for millions of customers.\nAs a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.\nMeet the team:\nThe hardware sensing team is responsible for the benchmarking, characterizing, and nomination and integration of all sensors. We work cross functionally with systems, perceptions, vehicle integration to ensure the sensors meet Latitude’s ODD requirements, perception requirements, and that it is integrable and reliable in Ford’s series vehicles. We are expected to understand sensing from a first principle approach and to ensure those principles are designable and manufacturable. We keep a breadth of all sensing technology, sensing vendors, and integration technologies. Members of the team are expected to be highly multidisciplinary, as successful sensor integration requires expert understanding and comfortability of concepts across many disciplines-from hardware and software.\nWhat you’ll do: \nLead technical development of radar or lidar sensing systems from early concept, benchmarking, and sourcing through production launch\nDefine sensor performance targets, requirements, evaluation criteria, and validation plans based on vehicle, perception, and ODD needs\nDrive sensor benchmarking and technical down-selection across candidate suppliers and technologies\nLead supplier technical engagement, including requirements reviews, data reviews, architecture discussions, issue resolution, and design maturity assessments\nGuide architecture and tradeoff decisions related to sensing performance, environmental robustness, packaging, thermal constraints, power, diagnostics, manufacturability, and cost\nWork cross-functionally with systems, perception, firmware, validation, vehicle integration, manufacturing, and quality teams to ensure the sensor meets downstream functional and program needs\nReview test data from supplier, bench, track, and vehicle testing; identify performance gaps; determine root cause; and drive corrective actions\nAssess whether supplier evidence is technically credible by reviewing test conditions, assumptions, filtering, sample quality, boundary cases, repeatability, and alignment to sensor physics and system requirements\nLead technical reviews and challenge unsupported claims, weak correlation, incomplete validation, and conclusions that do not match observed data or first-principles behavior\nEstablish technical plans, milestones, risks, and mitigation strategies to keep sensor programs on track toward nomination and launch\nCommunicate technical status, open issues, and tradeoffs clearly to engineering leadership and cross-functional partners\nWhat you'll need to succeed:\nBachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 7+ years of relevant experience (or Master's degree and 5+ years of relevant experience, or PhD and 2+ years of relevant experience)\n8+ years of experience in automotive sensing, with deep hands-on expertise in either radar or lidar and demonstrated technical leadership on complex hardware programs\nStrong first-principles understanding of the relevant sensing modality:Radar: RF fundamentals, range/Doppler/angle estimation, resolution, interference, multipath, ghosting, calibration, synchronization, and environmental effects\n Lidar: time-of-flight or FMCW fundamentals, ranging accuracy, reflectivity effects, point cloud quality, contamination, weather impacts, optical alignment, calibration, and environmental robustness\n\nStrong scripting and analysis capability in python, including hands-on use of NumPy, pandas, Jupyter, and similar tools to parse logs, evaluate sensor performance, trend issues, and build repeatable analysis workflows\nAbility to work directly with sensor data and debug artifacts, including supplier logs, raw captures, decoded outputs, and vehicle test datasets, and determine whether the data is complete, valid, and physically credible\nPractical experience with day-to-day engineering tools such as Wireshark/PCAP analysis, CAN tools (CANoe/CANalyzer or similar), ROS/rosbag or equivalent logging frameworks, point cloud or radar visualization tools, and common automotive data interfaces such as CAN, CAN FD, and automotive Ethernet\nAbility to independently judge whether supplier test results are correct by evaluating test setup, calibration state, ground truth method, statistical significance, repeatability, boundary conditions, applied filters, KPI definitions, and consistency with known sensor behavior\nAbility to lead and critically assess technical design reviews (TDRs) by identifying weak assumptions, incomplete validation, inconsistent requirements traceability, misleading metrics, and conclusions that are not supported by the underlying data\nExperience translating system and perception needs into sensor requirements, validation methods, and supplier deliverables\nExperience working across hardware, firmware, systems, perception, validation, manufacturing, and supplier teams to drive root cause and resolution\nStrong technical judgment and communication skills, with the ability to make and defend tradeoffs across performance, cost, timing, integration, and reliability\nNice to have: \nMaster’s degree or PhD in Electrical Engineering, Physics, Robotics, Computer Science, or a related field\nExperience leading supplier nomination, sourcing, or technical selection for radar or lidar hardware\nExperience bringing radar or lidar systems into automotive production\nFamiliarity with DV/PV, DFMEA, APQP, PPAP, functional safety, automotive quality processes, and production release expectations\nWorking knowledge of perception, tracking, calibration, and downstream use of radar or lidar data in automated driving systems\nExperience supporting multiple vehicle platforms or series-production programs\nWhat we offer you:\nCompetitive compensation packages\nHigh-quality individual and family medical, dental, and vision insurance\nHealth savings account with available employer match\nEmployer-matched 401(k) retirement plan with immediate vesting\nEmployer-paid group term life insurance and the option to elect voluntary life insurance\nPaid parental leave\nPaid medical leave\nUnlimited vacation\n15 paid holidays\nDaily lunches, snacks, and beverages available in all office locations\nPre-tax spending accounts for healthcare and dependent care expenses\nPre-tax commuter benefits\nMonthly wellness stipend\nAdoption/Surrogacy support program\nBackup child and elder care program\nProfessional development reimbursement\nEmployee assistance program\nDiscounted programs that include legal services, identity theft protection, pet insurance, and more\nCompany and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives\nLearn more about Latitude’s team, mission and career opportunities at lat.ai!\nThe expected base salary range for this full-time position in California is $191,920 - $287,880 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude’s annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements.\nCandidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position.\nWe are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.","description_format":"text","description_chars":8559,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Life insurance","Parental leave","Professional development","Retirement plans","Vision insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Autonomous Driving","Smart Mobility"],"lifecycle":[{"event":"open","at":"2026-08-24T13:33:08Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 41","filings_12m":41,"filings_prev_12m":48,"green_card_filings_12m":0,"median_offered_wage_usd":167500,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":1}],"liveness":{"score":35,"band":"fade","label":"Fading","p_open":1,"p_active":0.789,"p_room":0.45,"age_days":65,"expected_fill_days":35,"reasons":["conf:2","velocity","win:tail"],"computed_at":"2026-10-29T05:49:05Z"},"pay":{"stated_usd_annual":287880,"is_top_pay":true},"html_url":"https://alion.io/job/latitude-ai-senior-hardware-engineer-radar-2","json_url":"https://alion.io/job/latitude-ai-senior-hardware-engineer-radar-2.json","meta":{"generated_at":"2026-10-29T23:30:18Z","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":34602,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-30T00:00:00Z"}},"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":9305},"rest":"https://alion.io/mcp/rest/get_company?id=9305"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flatitude-ai-senior-hardware-engineer-radar-2"},{"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%2Flatitude-ai-senior-hardware-engineer-radar-2"},{"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%2Flatitude-ai-senior-hardware-engineer-radar-2"},{"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/latitude-ai-senior-hardware-engineer-radar-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flatitude-ai-senior-hardware-engineer-radar-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":117562}},{"tool":"search_jobs","arguments":{"company":"lat.ai","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":117562},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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