Simbe is looking for a Robot Software Engineer Intern to join the team building the software that powers Tally, our autonomous mobile robot operating in live retail environments.
As an intern, you'll work alongside our Robot Software Engineering team and contribute to a meaningful project tied to the team's active priorities. Your specific project will be selected by your hiring manager closer to your start date so that your work directly supports what the team is building at that time.
Depending on current priorities and your background & interests, your work may touch areas such as autonomy and navigation, perception, hardware integration and drivers, ROS tooling, or other areas of our software stack.
Responsibilities- Own and contribute to a scoped project aligned with the Robot Software team's priorities during your internship.
- Design, implement, test, debug, and document software primarily in C++ and Python.
- Work within a Linux development environment and use ROS/ROS2 tools and concepts.
- Contribute to areas such as autonomy, navigation, perception support, hardware drivers, testing/evaluation, or developer infrastructure depending on current team needs.
- Debug software and hardware/software integration issues using logs, telemetry, testing tools, and hands-on investigation.
- Write maintainable, well-tested code and participate in code reviews.
- Collaborate with engineers across Robot Software, Hardware, Perception, and other technical teams.
- Communicate progress, technical decisions, challenges, and results throughout the internship.
- Present your project, approach, results, and key learnings at the end of the program.
Required Qualifications- Currently pursuing a BS, MS, or PhD in Computer Science, Computer Engineering, or a related technical field.
- We primarily target undergraduate students in their junior or senior year, as well as students currently pursuing a master's degree.
- Strong programming fundamentals in C++ and/or Python.
- Comfortable working in a Linux environment.
- Familiarity with ROS or ROS2 and core concepts such as nodes, topics, messages, services, parameters, and launch systems.
- Basic familiarity with Git or another source-control system.
- Strong technical problem-solving and debugging skills.
- Ability to learn quickly and take ownership of an unfamiliar technical problem.
- Strong communication and collaboration skills.
Bonus Qualifications- Personal robotics, programming, or open-source projects outside of coursework.
- Previous robotics, software engineering, embedded systems, or related internship experience.
- Experience with autonomous navigation, localization, SLAM, perception, motion planning, controls, or human-robot interaction.
- Experience integrating sensors, motors, embedded devices, or other hardware with software.
- Familiarity with CI/CD, automated testing, Docker, build systems, or developer tooling.
- Experience participating in robotics clubs, research labs, competitions, or hands-on engineering teams.
- Experience using AI-assisted coding and automation tools as part of software development, debugging, or engineering workflows, with good judgment around validating generated output.
Internship Program StructureInterns join Simbe as part of a structured cohort and work full time from our Burlingame, California headquarters.
Each intern will have:
- A defined technical project aligned with current team priorities
- A hiring manager responsible for project scope, performance, and feedback
- A dedicated mentor separate from the hiring manager
- Structured midpoint feedback
- Regular opportunities to collaborate with and learn from Simbe engineers
- A final project presentation at the end of the internship
We do not believe in creating busywork for interns. Your project will be selected closer to your start date based on active team priorities so that you can contribute to meaningful work alongside our full-time engineering team.
$48 - $48 an hour
This internship is a W-2, non-exempt position that will last up to 12 weeks. Compensation within the posted range may vary based on relevant skills, prior experience, academic background, and other objective job-related considerations.
