Salary
≈ $75k – $206k per year (Estimated)
Location
In office (Tel Aviv)
Seniority
Senior · 5+ years exp
Employment
Full-Time
Confirmed on the employer's own hiring board on Oct 14, 2026. First seen by Alion on Oct 14, 2026.
Overview
Company
Impact
Profile match
Arbe Robotics develops high resolution imaging radar chipsets for vehicles and robots. Its radar separates objects at a resolution normally associated with lidar. The company supplies chipsets to tier one automotive suppliers.
Backed by Maniv Mobility
Description
Arbe is leading a RADAR REVOLUTION, driving a zero-road-fatality reality by enabling truly safe driver-assist systems, and paving the way for a fully autonomous-driving future. The next level of road safety is dependent upon a vehicle’s ability to ‘sense’ the world around it. Arbe’s unparalleled 4D high-resolution imaging radar is disrupting the automotive industry by redefining what’s possible. Join our team of technologists, radar specialists, and scientists to make zero road fatalities a reality, for everyone.
We’re looking for a talented Radar System Integration Engineer to join our innovative System Engineering group.
Responsibilities
- Integrate multidisciplinary full radar system including HW Platform, ASIC, RFIC, SW, ALGO
- Troubleshoot and debug ARBE's Radar, ASIC and FPGA platforms
- Define, implement and execute acceptance tests plans, procedures, and reports
- Define new features and HW requirements for full system optimization
- Simulate and analyze mix signals system data
- Validate system performance
Requirements
- BSc in Electrical Engineering/Computer engineering
- At least 5 years of experience as a System Integration engineer
- Hands-on experience in RF system integration
- Hands-on experience in mixed signals board design for complex FPGAs / ASICs / Processors
- Experience with test equipment and test flow
- Experience with communication protocols (SPI, UART, CAN, Ethernet)
- Entrepreneurial, self-directed, and motivated
Preferred Qualifications
- Strong familiarity with radar technology
- Experience in RF (preferred mmWave): TX and RX lineups
- Experience with multidisciplinary systems
- MATLAB/Python capabilities for data analysis
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