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# Hardware Engineer, Lidar

- **Company:** Latitude Inc
- **Location:** Pittsburg, CA, United States
- **Experience:** Expert
- **Salary:** $191,920.0 - $287,880.0
- **Contract:** Permanent contract
- **Skills:** 3D Scanning, Computer Engineering, Data Visualization, Software Debugging, Firmware, Failure Mode Effects Analysis, Python (Programming Language), Pcap, NumPy, Software Tools, Requirements Traceability, Software Requirements Analysis, Software Technical Review, Test Data, Wireshark, Data Logging, Jupyter, Pandas, Information Technology, Lidar
- **Published:** May 28, 2026
- **Apply:** https://www.dice.com/job-detail/b3139fa3-c918-4a28-a6a9-6424d78d4634

## About the Role

* 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, * 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

## Description

* 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


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