Senior Hardware Engineer, Lidar

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.

When 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.

As 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.

Meet the team:

The 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.

What you’ll do:

Lead technical development of radar or lidar sensing systems from early concept, benchmarking, and sourcing through production launch

Define sensor performance targets, requirements, evaluation criteria, and validation plans based on vehicle, perception, and ODD needs

Drive sensor benchmarking and technical down-selection across candidate suppliers and technologies

Lead supplier technical engagement, including requirements reviews, data reviews, architecture discussions, issue resolution, and design maturity assessments

Guide architecture and tradeoff decisions related to sensing performance, environmental robustness, packaging, thermal constraints, power, diagnostics, manufacturability, and cost

Work cross-functionally with systems, perception, firmware, validation, vehicle integration, manufacturing, and quality teams to ensure the sensor meets downstream functional and program needs

Review test data from supplier, bench, track, and vehicle testing; identify performance gaps; determine root cause; and drive corrective actions

Assess 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

Lead technical reviews and challenge unsupported claims, weak correlation, incomplete validation, and conclusions that do not match observed data or first-principles behavior

Establish technical plans, milestones, risks, and mitigation strategies to keep sensor programs on track toward nomination and launch

Communicate technical status, open issues, and tradeoffs clearly to engineering leadership and cross-functional partners

What you'll need to succeed:

Bachelor'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)

8+ years of experience in automotive sensing, with deep hands-on expertise in either radar or lidar and demonstrated technical leadership on complex hardware programs

Strong first-principles understanding of the relevant sensing modality:

Radar: RF fundamentals, range/Doppler/angle estimation, resolution, interference, multipath, ghosting, calibration, synchronization, and environmental effects

Lidar: time-of-flight or FMCW fundamentals, ranging accuracy, reflectivity effects, point cloud quality, contamination, weather impacts, optical alignment, calibration, and environmental robustness

Strong 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

Ability 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

Practical 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

Ability 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

Ability 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

Experience translating system and perception needs into sensor requirements, validation methods, and supplier deliverables

Experience working across hardware, firmware, systems, perception, validation, manufacturing, and supplier teams to drive root cause and resolution

Strong technical judgment and communication skills, with the ability to make and defend tradeoffs across performance, cost, timing, integration, and reliability

Nice to have:

Master’s degree or PhD in Electrical Engineering, Physics, Robotics, Computer Science, or a related field

Experience leading supplier nomination, sourcing, or technical selection for radar or lidar hardware

Experience bringing radar or lidar systems into automotive production

Familiarity with DV/PV, DFMEA, APQP, PPAP, functional safety, automotive quality processes, and production release expectations

Working knowledge of perception, tracking, calibration, and downstream use of radar or lidar data in automated driving systems

Experience supporting multiple vehicle platforms or series-production programs

What we offer you:

Competitive compensation packages

High-quality individual and family medical, dental, and vision insurance

Health savings account with available employer match

Employer-matched 401(k) retirement plan with immediate vesting

Employer-paid group term life insurance and the option to elect voluntary life insurance

Paid parental leave

Paid medical leave

Unlimited vacation

15 paid holidays

Daily lunches, snacks, and beverages available in all office locations

Pre-tax spending accounts for healthcare and dependent care expenses

Pre-tax commuter benefits

Monthly wellness stipend

Adoption/Surrogacy support program

Backup child and elder care program

Professional development reimbursement

Employee assistance program

Discounted programs that include legal services, identity theft protection, pet insurance, and more

Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives

Learn more about Latitude’s team, mission and career opportunities at lat.ai !

The 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 employee