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Embedded Automotive Software Testing Engineer Jobs in Santa Clara, CA

Better Ventures

Embedded Systems Lead

Milpitas, CA · On-site

$90 - $120/hr

The ideal candidate will have expertise in Linux Administration, Python, AWS, and software testing ... At least 1 year of experience as a Software Engineer or in a related role. * Technical Skills:

New

Cyient

Junior Embedded Middleware Engineer

Milpitas, CA · On-site

Execute functional, integration, and regression testing. * Analyze software defects, perform ... Strong programming skills in: * C * C++ * Qt/Qml * Basic to intermediate knowledge of Any General ...

New

Analog Devices

Engineer: Embedded Audio Software

San Jose, CA · On-site

$154K - $202K/yr

Engineer: Embedded Audio Software Engineer We are seeking an Embedded Audio Software Engineer to ... Automated testing and CI/CD environments * Git, GitHub, GitLab, or other version control systems

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All JobsEmbedded Automotive Software Testing Engineer JobsEmbedded Automotive Software Testing Engineer Jobs in Santa Clara, CA

Embedded Automotive Software Testing Engineer information

See Santa Clara, CA salary details

$82.2K

$180.1K

$204.4K

How much do embedded automotive software testing engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for embedded automotive software testing engineer in Santa Clara, CA is $180,139.00, according to ZipRecruiter salary data. Most workers in this role earn between $154,400.00 and $203,200.00 per year, depending on experience, location, and employer.

What does an embedded automotive software testing engineer do?

An Embedded Automotive Software Testing Engineer is responsible for verifying and validating the software that runs on electronic control units (ECUs) in vehicles. They design and execute test cases to ensure that embedded software meets safety, performance, and regulatory requirements. Their work involves using specialized tools to simulate real-world automotive scenarios, identifying bugs or issues, and collaborating with development teams to resolve them. This role is crucial for ensuring that automotive systems—such as braking, infotainment, and engine control—operate reliably and safely.

What are the key skills and qualifications needed to thrive as an embedded automotive software testing engineer?

To thrive as an Embedded Automotive Software Testing Engineer, you need a solid understanding of embedded systems, software testing methodologies, and automotive standards such as ISO 26262, typically supported by a degree in computer science, electronics, or a related field. Familiarity with testing tools (such as CANoe, Vector tools), scripting languages (like Python), and version control systems (e.g., Git) is commonly required, along with relevant certifications like ISTQB. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for collaborating with cross-functional teams and ensuring thorough test coverage. These competencies are essential for delivering reliable, safe, and high-quality automotive software in compliance with stringent industry regulations.

What are some common challenges faced by embedded automotive software testing engineers, and how can they be addressed?

Embedded Automotive Software Testing Engineers often encounter challenges such as integrating tests with complex hardware, managing tight project deadlines, and ensuring compliance with rigorous automotive safety standards like ISO 26262. To address these, it’s essential to maintain clear communication with cross-functional teams, regularly update test strategies to accommodate hardware changes, and utilize automated testing tools to improve efficiency. Continuous learning about new automotive technologies and safety protocols also helps in staying ahead of industry requirements.

Are embedded automotive software testing engineers in demand?

Embedded automotive software testing engineers are in high demand due to the increasing complexity of vehicle electronics and the need for safety-critical testing. Skills in automation tools, real-time systems, and industry standards like ISO 26262 enhance job prospects in this field.

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For Embedded Automotive Software Testing Engineer jobs in Santa Clara, CA, the most frequently searched job titles are:

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The top searched job categories for Embedded Automotive Software Testing Engineer jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Embedded Automotive Software Testing Engineer jobs?

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Embedded Automotive Software Testing Engineer jobs near you
Infographic showing various Embedded Automotive Software Testing Engineer job openings in Santa Clara, CA as of August 2026, with employment types broken down into 100% Temporary. Highlights an 100% In-person job distribution, with an average salary of $180,139 per year, or $86.6 per hour.

Senior Software Engineer, Embedded Software

PlusAI

Fremont, CA • On-site

$130K - $180K/yr

Full-time

Re-posted 22 days ago

Key responsibilities

  • Integrate CAN DBCs from different vehicle platforms and sensors into the AUTOSAR communication stack.

  • Support new vehicle platform integration and bring-up activities, including flashing, configuring sensors and ECUs, and resolving integration issues.

  • Create and execute vehicle tests and testing plans, and support on-vehicle testing and validation activities.

Job description

This role will be part of the runtime team which is responsible for the entire on-vehicle AD system integration, optimization, and core feature development. In this role, you will collaborate cross-functionally to define and implement sensor & vehicle interface CAN integration, diagnostics in AutoSAR safety domain, etc. You will also be responsible for the new vehicle platform and actuators integration, develop tools and procedures for new vehicle bring-up, and regular travel to our partner's proving ground to do on-vehicle testing and validation.
Responsibilities:
  • Integrate CAN DBCs from different vehicle platforms and sensors into AUTOSAR communication stack
  • Maintain and fine-tune autonomous safety features implemented within the AUTOSAR stack
  • Design and implement AUTOSAR UDS and DEM (Diagnostic Event Manager) stack
  • Design and Implement autonomous software diagnostics stack and DTC codes, with event-chain based reporting capability
  • Support on-demand troubleshoot of vehicle and system related issues reported by external partners, internal testing / operations team, or diagnostic tools.
  • Support new vehicle platform integration and bring-up activities, such as flashing and configuring of sensors and ECUs, resolving vehicle integration issues, data collection, parameter tuning, etc.
  • Create and execute vehicle tests and testing plans/campaigns per internal and customer requirements.
  • Execute development tests in coordination with test management and developers.
  • Travel up to 50% of the time to support on-vehicle testing of embedded systems and autonomous driving stacks.
  • Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts.
  • Ensure team compliance with QMS, monitor quality, and drive process improvements.
Required Skills:
  • Masters or Phd in Computer Science, Mechatronics, Electrical Engineering, or a related field.
  • Proficient in C Programming
  • Self-motivated and passionate about autonomous driving
  • Willingness to travel and work in different environments, including on and around Class-8 commercial vehicles
  • Proficient in Linux and GIT development workflow
  • Knowledge of real-time operating systems and embedded software best practices, with hands-on experience in AUTOSAR
  • Familiarity with embedded SW debugging tools (Lauterbach, ISystem, etc.), Vector tools (CANalyzer, CANoe, etc.)
  • Clear understanding of communication protocols in automotive like CAN/CAN-FD, LIN, SPI, Ethernet, and diagnostic protocols like UDS and J1939
  • Hands-on experience in DTC / UDS design and AutoSAR DEM (Diagnostic Event Manager) implementation for Autonomous / ADAS systems, including Diagnostic Event Chain implementation
  • Understanding of different Level of SW testing and experience in building automation testing infrastructure
  • Proven teamwork, communication, analytical, and systematic working skills
Preferred Skills:
  • Familiarity with Python and C++ programming 
  • Understanding of autonomous driving software stack
  • Basic understanding of different sensor concepts (camera/lidar/radar/gps/imu)
  • Basic understanding of hardware / electronics, familiar with vehicle harnesses
  • Experience with Infineon Aurix MCU and automotive high-performance SOC embedded systems

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.