At Mercedes-Benz Research & Development North America (MBRDNA), we are committed to delivering world-class automotive technologies that push the boundaries of what is possible. Our teams of highly skilled engineers and designers use cutting-edge software and technology, to enhance the driving experience and reduce environmental impact.
The MBRDNA middleware team is looking for a motivated, passionate, and experienced software engineer to help bring the next generation of Mercedes-Benz autonomous driving systems to market. We believe autonomous vehicles will revolutionize the future of mobility and are working on making this vision a reality.
As a leader in autonomous driving systems, Mercedes-Benz is on the forefront of developing software for safe real-time systems. This role will support the middleware team in developing functionally safe middleware for our next generation autonomous driving products.
The focus is on general software engineering. Experience in programming heterogeneous computing systems, scheduling algorithms and build systems is a plus. In this role, you will be on the front line of an interdisciplinary team of engineers who make autonomous driving a reality, interact with partners internationally and act as a Product Owner in an Agile Release Train environment.
This is an on-site role based in San Jose, CA.
Relocation assistance (domestic or international) is not provided for this position.
Job Responsibilities:
Developing high-quality source code by applying best-practice software engineering methods, including code reviews, design guidelines, refactoring, unit, and regression testing
Developing robust and efficient real-time algorithms and their integration on embedded platforms into autonomous vehicles
Testing our middleware product in different execution environments (desktop, cloud, embedded targets)
Writing design documents for new middleware features
Working in an agile/scrum environment to deliver software with measurable customer value
Collaborating with other teams in an international setting and transferring knowledge gained on advanced technology
Mentoring and supervising interns and colleagues with less experience
Potentially writing patents and scientific papers and engaging with the scientific community
Some international travel might be required
Minimum Qualifications:
Master’s degree in Computer Science, Robotics, Physics, or related fields
7+ years of relevant work experience
Automotive (AD/ADAS) Experience
Advanced programming skills in C++ (at least C++17)
Advanced knowledge in general software engineering (code design patterns, memory management, debugging, git, Linux, build systems)
Ability to develop high quality code with minimal iterations
Ability to understand and design abstract concepts and to break them down into implementable chunks
Experience with C++ in real-time systems (memory management, algorithm design)
Experience with software performance analysis
Experience with agile software development methods
Good communication skills, ability to formulate thought and ideas precisely in written form and verbally
Ability to work in a dynamic environment with changing boundary conditions
Solid mathematical understanding
Valid US Driver's License
Preferred Qualifications:
Experience with Bazel build system
Experience with Rust programming language
Experience with CUDA, OpenCL or SYCL programming languages
Experience with a Middleware (e.g. ROS, DDS, static scheduling algorithms)
Experience with safety-critical software systems
Understanding of machine learning & model deployments on embedded targets
Experience with autonomous systems or robotics
Experience with automotive software standards (e. g. ASPICE, MISRA, AUTOSAR)
Experience with real-time programming of embedded platforms and their operating systems
Experience as a Product Owner in an Agile Release Train environment
Curious, self-motivated, and excited about solving open-ended challenges at Mercedes-Benz
The successful candidate’s starting pay will be determined based on a wide range of factors, including, but not limited to, job-related education, skills, and experience, geographic location, and market conditions. The current salary range for this position is as follows and may be modified in the future: $135,000 - $168,800.
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Why should you apply?
Here at MBRDNA, you create digital ecosystems around cars, you design a language between humans and machines, you make a car even more intelligent - you make the new reality for cars. MBRDNA was honored as one of the "Best Places to Work" by BuiltIn in January 2024, a testament to our commitment to creating an exceptional work environment. At each of our offices, we foster a culture of collaboration and continuous learning, ensuring every team member can thrive and innovate.
Benefits for Full-Time* Employees Include:
• Medical, dental, and vision insurance for employees and their families
• 401(k) with employer match
• Up to 18 company-paid holidays
• Paid time off (flexible time off for salaried employees), sick time, and parental leave
• Tuition assistance program
• Wellness/Fitness reimbursement programs
* Internships & Contractors excluded from Full-Time Employee benefits
MBRDNA is an equal opportunity employer (EOE) and strongly supports diversity in the workforce. MBRDNA only accepts resumes from approved agencies who have a valid Agency Agreement on file. Please do not forward resumes to our applicant tracking system, MBRDNA employees, or send to any MBRDNA location. MBRDNA is not responsible for any fees or claims related to receipt of unsolicited resumes.
Mercedes-Benz Research and Development North America, Inc.
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