Job Title: Staff Mechatronics Engineer

Job Description

We are revolutionizing warehouse automation, addressing the growing demand for smarter, more resilient supply chains that impact businesses and lives globally. Our end-to-end robotic systems are designed to pick, move, pack, and collaborate with human-like precision, awareness, and adaptability.

As the Staff Mechatronics Engineer, you will be responsible for the architecture of our stack. You will choose, validate, and build the software interface for all hardware devices. Collaborating with a talented team of software engineers, you will implement mechatronics software to meet the quality, performance, observability, and real-time characteristics required by our intelligent warehouse robotics applications.

Responsibilities

• Architect and develop the software interface for hardware devices.
• Collaborate with software engineers to implement mechatronics software.
• Ensure software meets quality, performance, observability, and real-time characteristics.
• Optimize performance and develop test strategies for mechatronics devices and distributed systems.
• Support and develop real-time applications in C for production use.

Essential Skills

• BS/MS/Ph.D. in Computer Science, Machine Learning, or a related discipline, or equivalent experience.
• 7 years of production experience, preferably within robotics or autonomous vehicles.
• Strong experience with C and its toolchain (build & CI tools, compilers, debuggers, profilers).
• Expertise in multi-threaded, non-blocking, and asynchronous programming.
• Track record of delivering highly performant, real-time software.
• Strong industry knowledge of Linux, RTOS.
• Expert level expertise with EtherCAT, CAN, and CANOpen.
• Well-versed with motor control, peripherals, sensors, and hardware in industrial or automotive domains.
• Experience with hardware systems and interfacing with software.

Additional Skills & Qualifications

• Experience with Docker and Kubernetes.
• Background in mechatronics devices and tools within AV and Robotics spaces.
• Prior experience building, training, and deploying production machine learning models from scratch using PyTorch and TensorFlow.

Work Environment

Expected to be onsite 5x a week. Business casual attire. Meals and snacks provided at our sites.

Pay and Benefits

The pay range for this position is $180000.00 - $220000.00/yr.

• Flexible and generous vacation and holidays
• Comprehensive healthcare benefits for you and your family
• 401k company match
• Wellbeing and fitness offerings
• Meals and snacks at our sites

Workplace Type

This is a fully onsite position in Redwood City,CA.

Application Deadline

This position is anticipated to close on Feb 28, 2025.

About Actalent

Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500.

Diversity, Equity & Inclusion

At Actalent, diversity and inclusion are a bridge towards the equity and success of our people. DE&I are embedded into our culture through:

• Hiring diverse talent
• Maintaining an inclusive environment through persistent self-reflection
• Building a culture of care, engagement, and recognition with clear outcomes
• Ensuring growth opportunities for our people

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.

Salary : $180,000 - $220,000