We are seeking a full-time Senior Systems Engineer to enhance the performance and efficiency of our deployments. You will be in charge of owning the entire end to end system level performance for our deployments. In this role, you will collaborate closely with teams across Hardware, Infrastructure, and Machine Learning to integrate robust, production-grade solutions into our customers’ complex software environments.
This role is ideal for candidates who are passionate about engineering solutions that bridge advanced robotics and real-time control, take full ownership of their work, and thrive in a challenging, collaborative environment.
This role involves working closely with the solution team intentionally to design the cell/system flow, working closely with SW and HW to make sure the cell behavior matches the above workflow as well as SOW (Scope of Work). Travel to customer sites should be expected; travel time will be in conjunction with deployments and can last several weeks at a time. However, travel time is minimal to none when not in deployment.
What You’ll Be Doing
Lead the development and implementation deployment layers across our systems.
Own end to end system behavior and performance.
Bridge the gap between solution, engineering and customer success when it comes to system behavior and performance.
Be accountable and collaborate with the deployment team when it’s time to commission OSARO cells.
Experience and Skills You'll Need
BS in Computer Science, Robotics, or related field.
5+ years of experience in robotic control development, including experience with:
Developing and tuning control frameworks for robotic applications.
Trajectory optimization, kinematics, and motion planning for multi-axis robots.
Expertise in Rust or C++ with a proven ability in software design, architecture, and developing complex, real-time, multi-process systems.
Hands-on experience with industrial robotic arms, including direct development with low-level hardware controllers.
In-depth knowledge of robotic system design, integration, debugging, verification, and testing, particularly for industrial robotic manipulators operating in demanding, real-time environments.
Background working with robotic sensors (e.g., cameras, force sensors, grippers) involving sensor integration, calibration, or real-time data processing.
Bonus if You Have
MS or Ph.D. in Computer Science, Robotics, or related field.
Experience working in an Agile development environment.
More About OSARO
OSARO delivers best-in-class robotic piece-picking solutions for e-commerce where key challenges include high SKU inventories, complex packaging, and fragile items. In the rapidly evolving world of logistics technology, OSARO offers smarter automation, low-risk business plans, and its signature Hypercare support from exploration to installation. OSARO’s intelligent robots enable goods-to-robot (G2R) use cases, where the greatest gains are yet to be made on the automated warehouse floor. Its machine-learning vision and control software provides the foundation for all its products.
We have a highly international team made up of expert machine learning practitioners and dedicated software and hardware engineers which matches well with the global nature of our business. We are naturally curious, love healthy debate, and respect varying points of view. At OSARO, we strive to be champions for equality. We believe we can serve as a model for diversity in the tech industry by emphasizing policies of nondiscrimination and inclusion at every step.
We are an equal opportunity employer offering
- Health, dental, vision, and commuter benefits.
- Unlimited vacation time.
- Excellent paid parental leave policy with the option for additional reduced and unpaid leave.
- The chance to work with robots!
- The above full-time position is available immediately.
Osaro San Francisco, California, USA Office
1245 Folsom Street, San Francisco, CA, United States, 94103
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
