Staff System Software Engineer, New Products

You will be an early member of a new engineering team, taking a hands-on role in the design, development, and integration of a new product at Redwood. This position focuses on developing robust and reliable system software for a Linux-based industrial PC that will serve as the site controller for a large industrial system. The role involves designing and implementing containerized services for networked device management, site level controls orchestration, time series data management, and system diagnostics. 

The ideal candidate is highly self-driven, adaptable to a startup environment, and eager to take on novel technical challenges. If you’re excited about working in a dynamic, fast-paced setting within a new department at Redwood, we want to hear from you!

If necessary, the job level will be adjusted to suit the applicant’s experience and responsibilities.

Responsibilities will include:

• Design and implement a scalable and resilient system architecture for the site controller, leveraging containerization technologies like Docker and Kubernetes

• Research, leverage and develop on top of open-source software frameworks that are applicable to the functions supported by the site controller

• Create SIL and HIL test frameworks for integration testing of the product

• Administer a state-of-the-art CI/CD pipeline using tools such as AWS ECR and Ansible

• Collaborate with firmware engineers to ensure seamless integration between the site controller and distributed microcontrollers.

• Collaborate with modeling and systems engineers to implement control algorithms for the site

• Troubleshoot and resolve system issues in a timely manner

• Contribute to a collaborative, fast-paced startup culture, where every team member plays a crucial role in achieving company milestones.

Desired Qualifications:

• BS or MS in Computer Science, Electrical Engineering, or a related field and 7+ years of experience developing application software for hardware systems

• Strong proficiency in Python, Rust or C++

• Experience with Linux system administration and containerization technologies (Docker, Kubernetes)

• Experience profiling and optimizing code running on multi-core targets

• Familiarity with network protocols (TCP/IP, CoAP, MQTT, etc.)

• Experience with time series databases (e.g InfluxDB, Prometheus) and data visualization tools 

• Strong knowledge of embedded systems and real-time operating systems

• Experience with machine learning, adaptive control, model predictive control or other optimization techniques is a plus

• Excellent problem-solving and debugging skills.

• Strong communication and collaboration skills.