# Sensor Technology Engineer **Company**: Wayve **Location**: Sunnyvale, California **Work arrangement**: hybrid **Experience**: senior **Job type**: full-time **Salary**: $209,700 - $238,250 **Category**: Engineering **Industry**: Automotive **Apply**: https://jobs.ashbyhq.com/wayve/cc28eaa2-2625-4a7e-b18f-533f2c685e4f?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/job/sensor-technology-engineer-014fa92e-9c1/ ## Description You will join Wayve's Product & Delivery (P&D) organization, working within the Sensor Architecture team to help define and integrate the sensor systems behind our end-to-end autonomy stack. Your day-to-day: You will help translate driving use cases, ODD requirements and product constraints into clear sensor-system requirements and measurable KPIs such as coverage, field of view, resolution, detection range and latency. A significant part of your work will focus on camera systems. You will contribute to camera concepts, module and sensor selection, variants, field of view, placement and integration requirements across different vehicle platforms. You will evaluate and help tune image quality across areas such as exposure, HDR, ISP behaviour, LED flicker, low-light performance and image artefacts, working closely with Wayve's hardware team and camera / ISP suppliers. You will also work directly with OEMs and Tier 1s on camera mounting and vehicle-integration requirements, including position, alignment and tilt tolerances, mount rigidity, windshield and cover-glass effects, occlusion, heating and cleaning, synchronisation and calibration assumptions. Beyond cameras, you will contribute to radar and lidar topics, supporting requirements definition, sample evaluation and integration discussions around areas such as mounting, radome and fascia effects, calibration and interference. You will analyze fleet, replay and validation data to understand gaps between expected and observed sensor behaviour, define test requirements with the hardware team, review results and recommend next steps. The role also includes hands-on work in the lab and on vehicles, supporting sensor bring-up and integration debugging when needed, as well as using Python to automate analysis and reporting. Responsibilities: - Defining sensor-system requirements and quantitative KPIs derived from driving use cases, ODD and product constraints. - Developing camera-system concepts across sensor/module selection, variants, FOV and placement. - Evaluating camera image quality, including exposure, HDR, ISP, LED flicker, low-light performance and common image artefacts. - Defining camera mounting and vehicle-integration requirements for OEMs and Tier 1s. - Ensuring sensor characteristics, installation assumptions and calibration requirements remain consistent across development and production programs. - Analyzing fleet, simulation, replay and validation data to understand sensor performance and its impact on system KPIs. - Defining test requirements, reviewing results and supporting hands-on lab and vehicle testing. - Supporting sensor bring-up and hardware/software integration debugging. - Working directly with camera, radar and lidar suppliers on technical requirements, sample evaluation and integration constraints. - Supporting radar integration topics including mounting, radome/fascia effects and interference. - Supporting lidar and other sensing technologies such as ultrasonics where required. - Answering technical camera and sensor questions from customers and partners. - Maintaining sensor requirements, imaging guidelines, test specifications and technical recommendations. - Automating sensor-data analysis and reporting using Python. - Helping identify production and manufacturability constraints early as customer programs move from development toward production. Requirements: - 5+ years of hands-on experience in automotive camera, radar or lidar engineering. - You have delivered technical work on automotive programs from requirements through integration, validation and verified results. - You have strong knowledge of camera systems, including image sensors, exposure, HDR, ISP pipelines, calibration and image artefacts. - You have practical experience with camera integration, image quality, sensor characterisation or ADAS sensor validation. - You have working knowledge of radar and/or lidar fundamentals and their vehicle-integration constraints, and can lead first-level technical discussions with suppliers. - You have experience defining camera mounting and integration requirements with OEMs or Tier 1s, including alignment tolerances, windshield or cover-glass effects, occlusion and mount rigidity. - You have used measurement and data analysis to make technical decisions, including image-quality evaluation using standard charts, tools and methods. - You are comfortable working across both hardware and software teams and directly with suppliers, OEMs and customers. - You can use Python or MATLAB for engineering analysis, automation and reporting. - You can write clear requirements, test specifications and concise, data-backed recommendations. - You enjoy working independently within a defined technical area and taking ownership from analysis through recommendation. - You are curious about how sensor behaviour affects autonomous-driving performance and are interested in broadening your expertise across camera, radar and lidar. Benefits: - Salaries benchmarked against the market annually - Meaningful equity, sharing in the ownership and long term success of Wayve - Relocation support and visa sponsorship where applicable - Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs - Learning and development budgets with support for training, conferences and growth - Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more For more fresh new jobs, check out [yubhub.co](https://yubhub.co/). ## Skills ### Required - Python - MATLAB - camera systems - image sensors - exposure - HDR - ISP pipelines - calibration - ADAS sensor validation - radar - lidar ### Nice to have - production ADAS or AV programs - mass-production sensor integration - ML-based perception - fleet-data analysis - replay-based validation - radome/fascia evaluation - IEEE P2020 concepts - ultrasonic sensors - SerDes - sensor configuration or synchronisation --- Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/wayve/cc28eaa2-2625-4a7e-b18f-533f2c685e4f?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)