Senior Software Engineer - MCU Apps (C++/Linux) at Torc Robotics
Ann Arbor, Michigan, United States -
Full Time


Start Date

Immediate

Expiry Date

24 Jun, 26

Salary

193000.0

Posted On

26 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

C++, Linux, Software Engineering, Algorithm Development, Architectural Design, Real-time Embedded Systems, Microcontroller Development, Object-Oriented Programming, System Monitoring, Fault Handling, Testing, Deployment Automation, Agile, Mentoring, Spatial Reasoning

Industry

Truck Transportation

Description
About the Company At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. Meet the Team: The Compute Platform MCU Applications team is responsible for developing all software that runs on the safety microcontroller in Torc’s autonomous trucks. These applications are critical for monitoring and aggregating hardware and software faults and relaying key information to the virtual driver. We also develop software interfaces between the Torc autonomous driver and the base vehicle. Our work ensures software commonality, architecture consistency, and system reliability in safety-critical environments. What You’ll Do: In this role, you’ll bring a strong foundation in software engineering principles, with deep expertise in C++, algorithm development, and architectural design. You’ll develop high-performance C++ applications that run on real-time embedded systems—powering critical features like system monitoring and fault handling. This team is also responsible for building the communication layer between the Torc Autonomous Driver and the base vehicle platform. As a Senior Software Engineer, you’ll play a key role in shaping technical direction, mentoring junior developers, and driving engineering excellence. From requirements and software architecture to coding, testing, and deployment automation—you’ll own the full development lifecycle in a collaborative, Agile environment. Your impact will extend beyond code, helping to define scalable frameworks and uphold best practices across the team. Write C++ applications for real-time embedded systems used in system monitoring and fault handling. Develop software that bridges the Torc autonomous driving system with the underlying base vehicle. Lead architecture and design efforts for embedded applications from concept to deployment. Execute the full software development lifecycle including requirements, design, coding, unit testing, integration, and automation. Provide hands-on mentorship and technical guidance to junior engineers on software development best practices. Collaborate cross-functionally in an Agile development environment. What You’ll Need to Succeed: Bachelor’s degree in Computer Science, Computer Engineering, Robotics or a related field. 10+ years of industry experience in embedded systems or related domains. Strong foundation in software engineering principles and object-oriented programming. Proficiency in C++ with experience building components from scratch. Experience working with embedded real-time systems and microcontroller development in C++. Proven ability to mentor and support the growth of junior developers. Strong analytical and problem-solving skills with good spatial reasoning. Bonus Points: Master’s degree with 7+ years of experience or PhD with 5+ years. Experience with Infineon Aurix microcontrollers. Familiarity with AUTOSAR architecture and standards. Prior work in robotics, autonomy, or other safety-critical systems. Work Location: For this position, we are open to hiring in Ann Arbor, MI (U.S.) office work locations in a hybrid capacity. We are also open to hiring Remote in the United States. Perks of Being a Full-time Torc’r Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: A competitive compensation package that includes a bonus component and stock options 100% paid medical, dental, and vision premiums for full-time employees 401K plan with a 6% employer matchFlexibility in schedule and generous paid vacation (available immediately after start date)Company-wide holiday office closures AD+D and Life Insurance At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply. Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Job ID: 102538 Hiring Range for Job Opening US Pay Range $160,800—$193,000 USD
Responsibilities
The role involves developing high-performance C++ applications for real-time embedded systems focused on system monitoring and fault handling on safety microcontrollers. Responsibilities include owning the full development lifecycle, shaping technical direction, and building the communication layer between the autonomous driver and the base vehicle.
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