Infrastructure Engineer

Are you tired of your good old corporate job, working on one project for half a year? Is your passion for making great infrastructure being kept in a box labeled “for later”? Do you enjoy working with smart people and do you want to make their developer experience great?

Zendar is looking for an experienced Infrastructure Engineer who understands engineering needs and can work with engineers to make their life easier and more productive. Our team is a testament of the ability to unite engineers of different backgrounds over a common vision. We do not shy away from reality and its limitations but we also dream big. 

You don’t have to fit in a box. We are not looking for a superhero. But we might be looking for you!

Zendar is building perception for physical AI—giving engineers a strong foundation for creating world-class robotics applications. At Zendar, you’ll work on perception foundation models that enable robots to understand and interact with their environments across a wide range of industries.
Zendar pioneered RF perception that delivers a vision-like, semantically segmented understanding of the environment—running on embedded automotive systems using only radar data. This RF perception forms the backbone of Zendar’s next-generation foundation models, which are built around early fusion of RF and vision data.
This architecture inverts the traditional perception stack. Instead of treating RF signals as secondary, Zendar’s models combine vision’s high angular resolution with RF’s strong temporal and spatial understanding at the earliest stages of perception. The result is a system that sees farther, remains robust to occlusion and adverse weather, and operates far more efficiently than vision-only or lidar-based approaches.


See a demo of Zendar’s foundational RF perception
At Zendar, you’ll work at the cutting edge of autonomous mobility and robotics—advancing foundation models that will power the next generation of physical AI systems. You’ll work with large-scale, real-world, multi-modal datasets composed of synchronized and calibrated radar, camera, and lidar data collected across multiple continents.
Our team brings together deep expertise across hardware, signal processing, machine learning, and software engineering, with decades of experience in sensing and perception. We are a global team with offices in Berkeley, Lindau (Germany), and Paris (France). Zendar is well-funded by leading Tier-1 venture capital firms and has established strong industry partnerships.
Although AI is central to what we build, our hiring process is intentionally human: every résumé is reviewed by a real person.

To support our growing team, we’re looking for a Infrastructure Engineer. DevOps in a small company entails wearing many hats, supporting all the infrastructure, including IT, CI/CD, builds and testing, data uploads and Cloud interactions (Cloud support itself is handled by our MLOps team)!

You will be the second engineer on the DevOps team, working with our Senior Infra Engineer, which means that you will not only have a lot of influence in shaping all of DevOps at Zendar, but also have a lot of learning opportunities and support. This role is perfect for someone who is comfortable managing multiple responsibilities simultaneously, enjoys interacting frequently with other engineers, and is opinionated about what to prioritize and how to build things. 

• IT:
  • Handle provisioning, maintenance, and purchasing of workstation and laptop hardware/software.
  • Maintain, monitor, and troubleshoot the office network environment.
• CI/CD and Infrastructure:
  • Maintain and adapt CI runners and CI pipelines using GitHub Actions, ensuring they remain efficient and scalable as we grow.
• Build System and Dependency Management Support:
  • Work alongside the engineering team to manage dependencies and deploy updates to the build system, particularly focusing on CMake and Python dependency management toolchains.

• Ability to work from the office in Berkeley, CA, at least from Tuesday to Thursday.
• Engineering mindset and approach to DevOps - you want to design smart solutions, not only follow instructions.
• 2+ years in Infrastructure engineering, DevOps or similar
• Hands-on experience with CI/CD tools like GitHub Actions and a solid understanding of deployment workflows.
• Familiarity with build orchestration technologies and dependency management tools, comfort with containerization (Docker).
• Proficiency with Python and Bash.
• Comfort in managing IT in a small company (device management, user management and maintaining office network).
• A proactive approach to solving problems and willingness to take on new challenges as they arise.
• A fast learner who brings practical, goal-oriented solutions and strong critical thinking to everyday challenges.

• Knowledge of Terraform and Ansible.
• Experience with dealing with security topics in a DevOps role.
• Basic familiarity with UI design for building dashboards and internal tools.
• A track record of excelling in ambiguous or evolving roles.

• Being originally an on-prem company, we have faced infrastructure challenges with the onset of ML trainings requiring Cloud environment and infrastructure. We are now actively supporting workflows both on-prem and in cloud, evaluating pros and cons of any infrastructure change. One example of an on-going project which will help us to have better parity between those two workflows is having an on-prem docker registry (Harbor), which will store local builds of our monorepo for CI.
• Our monorepo structure brings challenges in the build process and oftentimes pushes the optimization requirements on top of the list. This is especially important for per-PR testing, where developers need to do multiple iterations and the developer experience matters. Looking for ways to optimize our build and test runs, the next possible project could be parallelizing different parts of our testing to different CI runners, reducing the total wait time for devs.
• We have a new monitoring system with notifications set up for some parts of our infrastructure. We want to have good insight in the health of our infrastructure, meaning we are actively adding to it - most recently we need to report the status of our in-house app for local data synchronization between different offices (US/EU).
• We don’t have any code coverage enforcement in place and we are investigating possibilities and evaluating benefits different tools bring. Enforcement of code coverage for future PRs and integrating that into our automation is definitely on the table!
• For years we’ve been using GitHub Actions as the easy go-to way for PR/nightly runs of tests. However, with the growing number of workflows and complexity the time is approaching where we will look for a different job scheduling tool!

• Opportunity to make an impact at a young, venture-backed company in an emerging market
• Competitive salary ranging from 130,000-160,000 annually depending on experience
• Performance based Bonus
• Benefits including medical, dental, and vision insurance, flexible PTO, and equity
• Hybrid work model: in office 3 days per week from Tuesday to Thursday, the rest… work from wherever!
• Daily catered lunch and a stocked fridge (when working out of the Berkeley, CA office)

Zendar is committed to creating a diverse environment where talented people come to do their best work. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Zendar participates in E-Verify