Hardware Engineer

Key Qualifications

• Strong foundational knowledge in traditional HW engineering subjects such as electrical design, testing, and deployment of hardware systems in rugged outdoor environments
• Experience leading large HW development programs from ideation through proto, EVT, DVT, and production stages
• Experience with some or all of the following: high performance/power edge compute including multi-CPU platforms with significant GPU resources, common autonomous sensing technologies including lidar (spinning, flash), camera (visible, SWIR, NIR, etc…), radar, GNSS, and IMUs, packaging and integration strategies for high performance HW systems in rugged environments including high shock/vibe, wide temp ranges, IP, and solar loading, high speed signaling including GSML, multi gigabit ethernet, RF
• Proficiency in compiled (C/C++/Rust), shell (linux bash), or runtime (Python) languages with ability to prototype and debug software components of HW systems as well as run tests, data collection, analysis, and reporting

Description and Responsibilities

• The candidate will be responsible for designing, characterizing, integrating, and validating Bedrock autonomy hardware.
• Help define system and component level HW architecture for autonomous machines.
• Establish and lead relationships and programs with external vendors to deliver critical components and systems for our autonomous HW platforms.
• Work with safety team to establish requirements and performance metrics for components and systems.
• Write reusable, high quality, sensor data analysis and test automation software (Python and/or C++/C/Rust).

Education and Experience

• 6+ years of professional relevant industry experience as hardware engineer or related technical role
• Bachelor’s or Master’s degree in Electrical Engineering, Mechatronics or related technical field
• Strong fundamentals in HW engineering
• Understanding and knowledge of physical processes by which a sensor operates
• Hands-on experience with characterization of autonomy sensors like lidar, radar, and cameras

Ways to Stand Out From the Field

• Deep experience in any of these areas: Camera and optics design and performance, Camera imaging pipeline including sensor options, ISP tuning, compression, and storage, Aperture degradation, HW components for sensor cleaning including sprayers, air puffers, wipers, ultrasonics, and other cleaning methods, High performance embedded compute, in particular Nvidia Jetson lineup, High and low speed communication protocols (GMSL, FPDlink, PCIe, multi GigE, A2B, CAN, UART, SPI, RS232/422/485, etc…), Experience with system engineering requirements definition and V&V, Experience with common standards for HW deployment in construction, ISO26262, ISO16750, SAE J1455, etc…, Familiarity with large commercial construction equipment electrical and mechanical HW