To apply to this position, click here:
[https://zendar.breezy.hr/p/b1c3b0470f85-ml-ops-
engineer?source=www.zendar.io&popup=true](https://zendar.breezy.hr/p/b1c3b0470f85-ml-
ops-engineer?source=www.zendar.io&popup=true)
**Who We Are:**
Zendar is creating a high-resolution radar imaging system that has resolution
similar to lidar, allowing cars to see the driving world in all conditions and
at long distances to travel at high speeds. We want to change the role of
radar in the Advanced driving assist (ADAS) sensor stack and demonstrate that
radars can take on many of the functions of lidar at a much lower cost. Zendar
has pioneered a software-defined radar technology which fuses data streams
from multiple sensors to build a more accurate scene and utilizes machine
learning to understand the environment. All of this works in an embedded AI
processor with tight latency and performance guarantees to deliver reliable
sensing and perception.
Zendar was founded in the San Francisco Bay area, at the very heart of one of
the most advanced regions in the development of advanced vehicles
technologies. We also have offices in Germany and France.
Zendar has a diverse and dynamic team of electrical, mechanical, RF,
algorithms and software engineers with a deep background in sensing
technology. Zendar is backed by Tier-1 VCs, has raised more than $50M in
funding and has established strong partnerships with industry leaders. Our
team has more than doubled in number over the last year as our technology has
gained traction in the automotive and agriculture industries.
**The Role:**
Radar has long been a neglected sensor in the autonomy field. At Zendar, we
have applied state-of-the-art ML techniques to show that radar can be just as
capable as a camera in perceiving the environment. Our ML team’s mission is to
unlock the capability of radar and show that camera + radar is the right
combination of sensors for autonomy.
To help us achieve this mission, we are establishing an MLOps Team to support
and power the productivity of our perception efforts. In this role, you will
be second hire on the MLOps Team at Zendar, working alongside the team lead, a
small team of machine learning researchers and engineers, and Zendar’s
existing DevOps team.
As a core member of the MLOps team, you’ll be working on:
* A robust and reliable data lake for our proprietary training and evaluation data
* A high-capacity batch job system for ad-hoc compute workloads
* A dynamically-scalable and GPU-accelerated compute cluster for model training
* Whatever else we need to scale up to the next level!
As an MLOps Engineer at Zendar, you will:
* Work with our rich store of proprietary radar, lidar, and camera data, and take ownership of our associated ETL / data transformation pipelines
* Take meaningful ownership over the responsibilities mentioned above, continually working to improve and expand the systems we already have in place
* Collaborate with the Machine Learning / Radar Perception team and the DevOps team to build out new capabilities and scale our existing capabilities to new heights
What We Look For:
* 3+ years of hands-on experience with cloud computing platforms (AWS, GCP, or Azure)
* Broad knowledge of data engineering and ML ops tools (Airflow, kubernetes, docker)
* Strong engineering skills in Python and SQL
* Excellent communication and organizational skills
* Eagerness to challenge yourself, learn new skills, and adapt as the company grows.*
Bonus Points:
* Experience with the modern Deep Learning stack (PyTorch, Tensorflow, CUDA)
* Prior experience with automotive perception tasks (semantic segmentation, object detection, tracking, route planning)
* Knowledge of the physics of radar devices and electromagnetic theory
What We Have To Offer:
* Opportunity to make an impact at a young, venture-backed company in an emerging market
* Competitive salary ranging from $125-165k 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, the rest… work from wherever!
* Daily catered lunch and a stocked fridge (when working in the Berkeley, CA office)
*Zendar participates in E-Verify.
_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._
