Software Engineer, Nimble Brain

Nimble Robotics•San Francisco, CA

9d•$150,000 - $210,000

About The Position

Nimble is seeking a Software Engineer to join its Nimble Brain team and build the backend and robotics infrastructure powering robot-enabled products. The role focuses primarily on software and systems engineering, working closely with the AI team to design and ship reliable services, APIs, and operational tooling. The engineer will collaborate with robotics, machine learning, and product teams, and contribute to the systems and operational workflows that connect cloud infrastructure, multi-agent systems, internal tools, and robots.

Requirements

Bachelor’s, master’s, or PhD in Computer Science or a related field, or equivalent practical experience.
At least 1 year of professional software engineering experience.
Strong self-learning and improvement mindset.
Strong proficiency in at least one of Rust, Python, or C++.
Strong fundamentals in backend services, distributed systems, data modeling, and API design.
Demonstrated experience designing scalable systems and leading complex technical projects.
Excellent communication skills and ability to collaborate across teams.

Nice To Haves

Experience with an observability stack such as OpenTelemetry.
Experience with AWS, Kubernetes, CI/CD, infrastructure-as-code, and production environments.
Experience building internal developer platforms, tooling, or workflow systems.
Exposure to automation environments such as warehousing, manufacturing, or logistics.

Responsibilities

Collaborate with robotics, ML, and product teams to define requirements and translate them into well-architected software systems.
Design, build, and operate backend services and APIs supporting production workflows and customer-facing features.
Own integrations among multi-agent systems, cloud infrastructures, internal tooling, and robot-facing interfaces.
Build orchestration and state management services for long-running operational processes.
Improve reliability and scalability through testing, observability, incident response, and performance tuning.
Produce high-quality, well-tested, maintainable code; promote software engineering best practices and contribute to code reviews.
Mentor other engineers and help improve team processes and technical standards.
Participate in and often lead design reviews, code reviews, and technical planning sessions.
Participate in an on-call rotation and help diagnose and resolve production issues.