Sensor Technology Engineer (Autonomous Driving)

Location: Sunnyvale, California, USA; hybrid working model with in-person collaboration in offices and remote work

Salary: $209,700–$238,250 annually

Company

hirify.global is building an AI platform for autonomous driving, using an end-to-end, mapless and hardware-agnostic approach that enables vehicles to learn from real-world experience and integrate with global OEM partners.

What you will do

• Define sensor-system requirements and quantitative KPIs from driving use cases, ODD requirements, and product constraints.
• Develop camera-system concepts covering sensor and module selection, variants, field of view, placement, image quality, and vehicle integration.
• Define mounting, calibration, synchronisation, and integration requirements for cameras, radar, lidar, and other sensors across vehicle programs.
• Analyze fleet, simulation, replay, and validation data; define tests, review results, and recommend technical next steps.
• Support hands-on sensor bring-up, lab and vehicle testing, and hardware/software integration debugging.
• Work with OEMs, Tier 1s, customers, and sensor suppliers while maintaining requirements, test specifications, imaging guidelines, and technical recommendations; automate analysis and reporting using Python.

Requirements

• 5+ years of hands-on experience in automotive camera, radar, or lidar engineering.
• Delivered technical work on automotive programs from requirements through integration, validation, and verified results.
• Strong knowledge of camera systems, including image sensors, exposure, HDR, ISP pipelines, calibration, and image artefacts.
• Practical experience with camera integration, image quality, sensor characterisation, or ADAS sensor validation.
• Working knowledge of radar and/or lidar fundamentals and vehicle-integration constraints, with the ability to lead first-level supplier discussions.
• Experience defining camera mounting and integration requirements with OEMs or Tier 1s, including alignment tolerances, windshield or cover-glass effects, occlusion, and mount rigidity.
• Experience using measurement and data analysis for technical decisions, including image-quality evaluation with standard charts, tools, and methods.
• Comfort working across hardware and software teams and directly with suppliers, OEMs, and customers.
• Ability to use Python or MATLAB for engineering analysis, automation, and reporting; write clear requirements, test specifications, and concise data-backed recommendations; and take ownership from analysis through recommendation.

Nice to have

• Experience with 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.

Culture & Benefits

• Hybrid working with core hours and hands-on work in vehicle workshops and labs.
• Relocation support and visa sponsorship where applicable.
• Market-benchmarked salary, meaningful equity, and comprehensive benefits including health insurance, dental coverage, enhanced parental leave, retirement or pension provisions, therapy access, wellbeing partnerships, and team socials.
• Learning and development budgets supporting training, conferences, and professional growth.
• Initial recruiter screen, competency interview, deep-dive technical interviews, and final interview.
• hirify.global is an evolving environment offering substantial ownership rather than a fully established operating playbook.