Principal Engineer - Dashcam Engineering

Reposted 8 Days Ago
Be an Early Applicant
San Francisco, CA
Mid level
Blockchain • Software
The Role
The Principal Engineer for Dashcam Engineering at Hivemapper will design and develop embedded applications and sensor fusion systems, working closely with hardware teams and leveraging data-driven performance monitoring.
Summary Generated by Built In

Hivemapper is a decentralized global map data network built by 10s of thousands of people. High-res sensors like RGB, Stereo Depth, GNSS, IMU, etc. feed sensor fusion and ML models at the edge. Data is automatically uploaded in near realtime over LTE or WiFi. Enterprise tech, mapping, auto, robotaxis, rideshares, and real estate represent just a few of the customers consuming data today. 


APIs allow anyone to consume high-res street-level imagery and precisely extracted Map Features (speed signs, turn restrictions, etc.). New data products for HD mapping, AI fleet management, construction understanding, and more are continuing to grow or launch throughout the year. 


Dashcam Engineering 


We are looking for someone with deep experience across the embedded applications stack. We deal with embedded userspace software platforms, high performance sensor fusion and ML edge computing, drivers and OS management, as well as coordinates heavily with our hardware design and manufacturing teams. The role works closely with our highly technical teams, including HD Mapping, Map AI, and Hardware. 

Responsibilities

  • Build embedded applications, high-level sensor drivers, sensor fusion pipelines, and computer vision systems that run on devices
  •  Evolve and architect efficient userspace software systems dealing with rich, high frequency data in realtime
  • Work closely with our hardware, manufacturing, and SoC software partners, owning strategy and managing orchestrated tactical execution
  • Use a data-driven approach to iterating quickly and monitoring performance across 10s of thousands of devices worldwide
  •  Write high quality software that takes advantage of hardware paths when possible

Qualifications

  •  Solid understanding of embedded sensor platforms - RGB, global shutter stereo depth, GNSS, IMUs, LTE, WiFi/Bluetooth, etc. 
  • Hands-on Linux OS development experience for embedded systems
  • Proficiency in C or C++ and at least one of Python, Typescript, Node.Js, or Go

Nice to haves

  • Experience with ADAS, AV, Mapping, etc. 
  • Electrical/Mechanical Engineering knowledge to lean on 
  • Experience with ML frameworks (PyTorch, TensorFlow, OpenVINO, ONNX, etc.)

What we offer

  • Medical, dental and vision benefits plus FSA
  • Family leave
  • 401(k) program
  • Unlimited Flex PTO
  • Commuter benefits
  • Paid lunch

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Hivemapper, we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.


We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

 

Note to Recruitment Agencies: Hivemapper does not accept unsolicited agency resumes. Furthermore, Hivemapper does not pay placement fees for candidates submitted by any agency other than its approved partners.

Top Skills

Adas
Av
C
C++
Go
Linux
Ml Frameworks
Node.js
Onnx
Openvino
Python
PyTorch
TensorFlow
Typescript
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The Company
HQ: San Francisco, CA 94107, CA
22 Employees
On-site Workplace
Year Founded: 2015

What We Do

Hivemapper is a decentralized, ever-updating map built by people, using dashcams, who soon will mine our cryptocurrency, HONEY.

This new mapping economy represents a fundamental shift
in how maps are built and who owns them, sharing the
economic benefits of a global map with those who are building it.

Forward looking businesses use our Map API.

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