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Senior High Performance Computing Software Engineer

Zendar LogoZendar


Date Posted

24 Feb, 2023

Salary Offered

$130000 — $180000 yearly

Job Type

Full Time

Experience Required

3+ years

Remote Work

Not Allowed

Stock Options

No

Vacancies

1 available


Who We Are:

Zendar is creating a high-resolution radar imaging system that has resolution similar to lidar, allowing cars to see in inclement weather. We want to change the role of radar in the autonomous driving sensor stack and demonstrate that radars can take on many of the functions of lidar at a much lower cost and in all weather conditions. Zendar's technology fuses data streams from multiple sensors to build a more accurate scene and utilizes machine learning to predict likely environmental scenarios and provide situational awareness. 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 autonomous vehicles technologies. We also opened an office in South Germany to capitalize on the decades of experience in the automotive radar industry of the area, and are setting up a new office in Paris.

Zendar has a diverse and dynamic team of electrical, mechanical, RF, algorithms and software engineers with deep background in sensing technology. Zendar is backed by Tier-1 VCs, has raised more than $25M 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.

Who You Are:

In this role, you will be responsible for building and fine tuning our software platform components that our algorithms run on. In this role, you will interact closely with the algorithms and applications teams to define the Software interface between platform Software and the rest of the stack. You will also be responsible for working closely with other engineering teams to analyze the performance of the Software stack and to improve all areas of the codebase.

What We Look For:

3+ years of experience with modern C++ (we use C++ 14)

Experience with CUDA/OpenCL, including optimizing algorithms that run on CUDA/OpenCL in professional environment, pushing optimization through to production and delivery

Experience developing for embedded Linux or POSIX systems

Experience analyzing the performance of CPU and GPU algorithms

Familiarity with professional software development tools, such as source control (git), unit testing, and profiling

Strong communication and cross-functional collaboration skills

Bonus Points:

Experience with developing mission critical software (e.g. aviation or autonomous vehicles)

Experience developing software that runs on an RTOS

Experience with radar, lidar, cameras, GPS/IMU, or other automotive sensors

Experience mentoring team members on software development and best practices

What We Have To Offer:

Opportunity to make an impact at a young, venture-backed company in an emerging market

Competitive salary ranging from $130-180k annually depending on experience, benefits and equity

Performance based Bonus

Benefits including medical, dental, and vision insurance, unlimited 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 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.

About Zendar

Zendar Logo

We make high definition radar allowing self-driving cars to see in…

Company Size: 11 - 50 People
Year Founded: 2017
Country: United States

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