Senior Robotics Software Engineer, Labelbox
$180-200k
5 days a week in office
Data training platform for ML applications
Job no longer available
Data training platform for ML applications
201-500 employees
Job no longer available
$180-200k
5 days a week in office
201-500 employees
Company mission
To build the best products for humans to advance artificial intelligence.
Role
Who you are
- Bachelor’s degree in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, or a related field (Master’s or PhD preferred)
- 3+ years of relevant professional experience
- Strong foundation in robotics principles such as kinematics, dynamics, control theory, and/or computer vision
- Proficiency in ROS (Robot Operating System) and ROS2, with experience developing and deploying on both
- Proficiency in C++ and/or Python
- Experience with hardware integration (sensors, actuators, embedded systems)
- Strong debugging, problem-solving, and analytical skills
- Ability to work independently and collaboratively in a fast-paced environment
What the job involves
- We are seeking a highly motivated Robotics Software Engineer to join our team and help design, build, and deploy intelligent robotic systems
- In this role, you will take ownership of software development that advances autonomy, perception, and human-robot interaction
- You will work cross-functionally with hardware engineers and research scientists to deliver scalable, production-ready solutions that push the boundaries of robotics innovation
- Design, implement, and optimize software for robotic systems, including motion planning, control, perception, and/or sensor fusion
- Develop scalable, maintainable codebases in C++ and/or Python
- Integrate software with robotic hardware (sensors, actuators, embedded systems) and ensure robust system performance
- Run simulations, experiments, and on-hardware testing to validate system performance
- Analyze data, identify bottlenecks, and propose/implement optimizations
- Collaborate cross-functionally with mechanical, electrical, and research teams to deliver end-to-end robotic solutions
- Document code, findings, and best practices to ensure knowledge sharing across the organization
Our take
Labelbox offers a web service and API helping companies better manage the process of annotating and labelling data used for machine learning (ML). This reduces costly and labour-intensive human data labelling, a major stumbling block for the increasing number of larger companies looking to deploy ML at scale.
Labelbox offers automated labelling as a means of boosting productivity, which puts it in direct competition with Scale AI, a company valued at over $7 billion. Founded in 2018, the relatively young Labelbox will have to find a compelling way of distinguishing itself, such as by addressing the ethical issues faced in data labelling. The company emphasises that its product addresses the problem of bias by working as a sort of auditable record, and offers quality assurance systems to help identify it.
Labelbox has remained focused on streamlining its capabilities to raise its value in line with the rapidly growing market. The company's global expansion efforts have significantly widened its potential client base. The company has also collaborated with Google to make access to its platform easier.
Freddie
Company Specialist at Welcome to the Jungle
Insights
46% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Jan 2022
$110m
SERIES D
Feb 2021
$40m
SERIES C
Total funding: $188.9m
Company benefits
- Flexible vacation policy (we don't count PTO Days)
- 401k Program
- College savings account
- HSA
- Daily lunches paid for by the company (especially convenient while working from home)
- Virtual wellness and guided meditation programs
- Dog-friendly office
- Regular company social events (happy hours, off-sites)
- Professional development benefits and resources
- Remote friendly (we hire in-office and remote employees)
Company HQ
Mission District, San Francisco, CA
Leadership
Brian Rieger
(Co-Founder)Began as an Engineering Intern at Hudson Technologies. Co-founded Infinity Aerospace. Was an Aerodynamics Engineer at Boeing. Worked in Data Science for World Fuel Services.
Manu Sharma
(Co-Founder & CEO)Masters in Astronautical Engineering from Stanford. Founder & CEO of Nuovo Wind. Founder & CEO of Ardulab/Infinity Aerospace. Worked at DroneDeploy for over 3 years, from Drone Engineer to Product Manager. Was a Product Manager at Planet.
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