Job Description
Aeva’s mission is to bring the next wave of perception to a broad range of applications from automated driving to industrial robotics, consumer electronics, consumer health, security, and beyond.
Key Responsibilities
- Own the validation and characterization strategy for LiDAR sensor performance — defining test plans, metrics, acceptance criteria, and traceability to system and component requirements.
- Lead hands-on sensor characterization in the lab: set up and operate test equipment, configure sensors under controlled conditions, execute performance measurements (range, accuracy, resolution, reflectivity response, latency, etc.), and document results.
- Plan and execute real-world field validation campaigns — designing test routes/scenarios, instrumenting vehicles, collecting synchronized sensor and reference data, and analyzing performance across real-world operating conditions.
- Develop automated test frameworks, data collection pipelines, and analysis tools to improve repeatability, throughput, and insight from characterization data.
- Analyze lab and field test data to identify performance trends, root-cause failures, and regressions; partner with algorithms, firmware, and hardware teams to drive corrective action.
- Define and maintain validation interfaces and performance budgets in coordination with systems and engineering teams — ensuring measured results map clearly to specification compliance.
- Support design verification activities, release readiness reviews, and customer/OEM validation requests with rigorous test evidence and clear reporting.
- Serve as the senior technical liaison for validation and characterization across engineering disciplines and in design/milestone reviews; provide technical guidance on critical deliverables as needed.
Requirements
- 10+ years of experience in sensor validation, characterization, or test engineering, with end-to-end ownership of complex validation programs through development and release.
- Deep hands-on experience characterizing LiDAR, radar, camera, or similar sensor systems in both controlled lab and real-world environments. Automotive LiDAR experience strongly preferred.
- Strong background in designing and executing performance test campaigns — including test plan development, instrumentation setup, data acquisition, and statistical analysis of results.
- Proficiency with lab test equipment and measurement techniques relevant to optical/time-of-flight sensors (e.g., power meters, spectrometers, motion stages, reference targets, GNSS/IMU logging, data loggers).
- Experience with data analysis tools and scripting (Python, MATLAB, or similar) for processing large sensor datasets and generating actionable characterization reports.
- Working knowledge of sensor system architecture — including how opto-mechanical design, DSP algorithms, and hardware limitations affect measurable performance and test methodology.
- Familiarity with ASPICE, ISO 26262, or ISO/SAE 21434 verification workflows is a plus, particularly as they relate to validation evidence and documentation.
- Strong analytical and communication skills; comfortable driving technical trade-offs across multidisciplinary teams.
Benefits & Perks
- Be the first validation and characterization engineer in our Bangalore office in this domain — help establish the team, culture, and technical foundation from the ground up
- Be part of a fast-paced and dynamic team
Ready to Apply?
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