Embedded Engineer

Job ID: J54374Job Title:

Location: Bay Area, CA

Duration: 12 Months + Extension

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2CWork Authorization:

• US Citizen, Green Card, H-1B, OPT-EAD, CPT, OtherView All Jobs
• Similar Jobs
• Embedded Software Engineer - Milpitas, CAEmbedded Software Engineer - Alpharetta, GAEmbedded Software Engineer - sanfransico, CAEmbedded Engineer - Phoenix,, AZEmbedded Software Engineer - Houston,, TX

Job Title: Embedded Engineer

Location: Bay Area, CA

Duration: 12 months Bill Rate: $79/hour (C2C)

Job Type: W-2, 1099, C2CClient: To Be Discussed Later

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description: We are looking for a Senior Embedded Systems Engineer with strong experience in embedded firmware, C/C++, Linux, RTOS, networking, and automotive systems. The candidate will lead system architecture, develop device drivers, integrate hardware and sensors, and improve the performance and reliability of vehicle computing platforms.

Key Responsibilities: Design and lead embedded system architecture for vehicle computing and networking platforms. Develop embedded firmware and device drivers using C/C++ and Python. Work with Linux kernel, FreeRTOS, QNX, and other RTOS platforms. Develop and debug CAN, LIN, FlexRay, and Ethernet communication interfaces. Work with networking protocols such as TCP, UDP, HTTP, and gRPC.Integrate sensors including LiDAR, Radar, and Cameras. Support PCB bring-up, hardware debugging, and system integration. Perform Hardware-in-the-Loop (HIL) testing and performance optimization. Work with hardware, software, and electrical engineering teams. Ensure system reliability, safety, and performance.

Required Skills: Strong programming experience in Embedded C/C++ and Python. Expertise in Embedded Linux and RTOS (FreeRTOS/QNX).Experience with device drivers, firmware, and bootloaders. Knowledge of CAN, LIN, FlexRay, Ethernet, I2C, and SPI.Strong understanding of TCP/IP, UDP, and networking protocols. Experience with automotive embedded systems. Knowledge of Linux kernel tuning and hardware integration. Experience with HIL testing and debugging tools. Strong system architecture and technical leadership skills.

Preferred Skills: AUTOSAR, OSEK, and ISO 26262.Time-Sensitive Networking (TSN), PTP/gPTP.CPU, GPU, and hardware accelerator optimization. Automotive or robotics experience. CCNA/CCNP certification is a plus. Apply NowEqual Opportunity Employer We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law. Home|About|Adaptive AI|Industries|Consulting |Contact Us© 2004-2026, Machine Learning Technologies LLC, or its affiliates