Robotics Software Engineer, Dexterity
Robot Math
$125-186k
Office located in Redwood City, CA
Physical AI-powered industrial superhumanoids for large enterprises
Open for applications
Physical AI-powered industrial superhumanoids for large enterprises
101-200 employees
Open for applications
$125-186k
Office located in Redwood City, CA
101-200 employees
Company mission
To help people thrive and grow by freeing them to do work that humans do best, by transforming the world to make work more purposeful.
Role
Who you are
- BS (4+ years experience )/ MS (2+ years experience) / Ph.D. in Computer Science, Maths or a related discipline or equivalent experience
- Strong Knowledge of Modern C++ and Python
- Math fundamentals in Linear Algebra, Numerical Optimization (Convex, Non-Linear), Geometric Algorithms, Graph search algorithms
- Experience delivering production software
- Experience with Git, Kubernetes, and Docker
- Proficient in Linux
- Strong user-centric focus on tooling and infrastructure
- Independent, self-starter, and critical thinking engineer
- Excellent verbal and written communication skills
- Strong analytical and problem-solving skills
- Excellent organizational skills and attention to detail
- Minimum two years of industry experience
What the job involves
- At Dexterity, you will develop platform software and infrastructure to empower robotic engineers to freely command and craft robot motions under different geometric and dynamic constraints for Dexterity’s robotics applications
- You will develop features and capabilities for fast and safe trajectory generation for 6 to 8 DOF robots operating in constrained spaces
- You will apply your expertise in mathematics and experience in software development to solve some of the hardest motion challenges by contributing to our collision checking, spatial reasoning, efficient sampling strategies and graph based search algorithms for robot trajectory generation
- One of the areas of focus of this role will also be on tooling and infrastructure for empowering robotics engineers as well as core software for the robotics system
- You will work with a team of domain experts in trajectory optimization, collision checking, and simulation to develop a robust and scalable motion planning and trajectory optimization stack
- As part of this role, you will get hands-on experience to experiment and test the robot motion stack on the robot hardware. You will also be responsible to support the product teams that use the robot motion stack to integrate and use its features on the robots to perform various tasks and meet KPIs
- Build modern motion planning, collision checking, and trajectory optimization algorithms as part of features for core Robot Motion libraries
- Help build unique motion planning methods by developing infrastructure and features to measure reliability and performance in the field
- Introspect the performance (speed and quality) of the motion planning software and develop optimizations to improve them
- Design and implement novel trajectory optimization methods to deploy rapid robot motions
- Work closely with the robot controls team and product teams to use the motion planning stack and help design and test the generated motions
- Build production-grade tooling to extract logging and metrics from different classes of machines
- Build and analyze pipelines of critical and non-critical data: introspecting on errors regarding robot motions: desired motion → motion planning → robot control
- Enable complex robotic systems to scale globally!
Our take
Dexterity emerged from stealth at an opportune, albeit tough, time in 2020, just as an accelerating labour crunch drove major demand for automated solutions in factories and warehouses. The company managed a major fundraise and immediately moved on to bigger and better things: expanding into the Japanese market, partnering with supply chain automation leader Dematic and achieving unicorn status with a greater than $1 billion valuation.
Unlike other companies which are fixated on developing increasingly sophisticated, more human-like robots, Dexterity takes a comparatively simple hardware approach. Its machines take care of highly repetitive tasks, while its SaaS platform shares everything it learns with each robot, amplifying intelligence across the fleet. Rather than seeking to replace human workforces it aims to augment them, freeing skilled workers for more complex tasks.
Considering that the worldwide labour shortage is heavily impacting the industrial sector, Dexterity is in a promising position to continue its upward trajectory over the next few years. Indeed, its recent partnerships with Sumitomo to supply 1,500 Dexterity robots in their warehouses and with FedEx for autonomous trailer loading are encouraging signs of things to come for the company.
Freddie
Company Specialist at Welcome to the Jungle
Insights
1% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Mar 2025
$95m
LATE VC
Oct 2021
$140m
SERIES B
Total funding: $291.2m
Company HQ
Redwood City, CA
Leadership
Samir Menon
(Founder & CEO)Samir holds a Ph.D in Computer Science from Stanford University. He was previously a Software Design Engineer at Microsoft India R&D before Founding Dexterity in 2017.
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