Lead Algorithm Optimization Engineer
Engineering | Palo Alto, CA | Full Time
Lead Algorithm Optimization Engineer, Civil Maps
San Francisco, CA
Civil Maps’ sensor-agnostic platform enables vehicular cognition, replicating human cognition used in the tasks of driving and navigation. OEMs of all types, mapping companies, and mobility providers use our technology to advance their autonomous driving initiatives by integrating our Cognition Engine with their decision-making stack and sensor configurations of choice. Civil Maps enables vehicles to develop and leverage their own “mental model” of the world; they can create, utilize, and crowdsource maps with the industry’s most cost-effective, scalable, and robust methods available today. Our proprietary fingerprinting technology lies at the core of our innovations in sensor fusion, 3D mapping, centimeter-accurate localization in 6 degrees of freedom (6DoF), and machine perception. While empowering vehicles with full environmental awareness and enhanced safety, Civil Maps is able to dramatically reduce the cost, compute, and energy requirements involved in the continental-scale deployment of autonomous cars, trucks, and heavy equipment. From our headquarters in San Francisco and offices in the Asia-Pacific, Civil Maps works with the most innovative companies in the world towards advancing safe vehicle autonomy. Founded in 2015, the company is funded by automotive OEMs Ford and SAIC as well as Motus Ventures, the Stanford-StartX Fund, and many other distinguished investors.
We are looking for an embedded engineer who will be responsible for optimizing the embedded software stack to operate on low power embedded processors.
- 5+ years experience in optimizing code for embedded systems such as ARM processors and FPGAs.
- Experience with FPGA platforms, hardware architecture, optimizing algorithms for FPGAs, and FPGA design tools is a must.
- Identified and resolved performance bottlenecks
- Self-motivative skills, resourcefulness, driven with energy to impart to others in the team.
- Proficiency in C++, Python, etc.
- A deep knowledge of embedded software development methodologies, process, and proven track record of creating production software.
- Working knowledge of interfacing with the data center (AWS, S3 etc), remote diagnostics, boot-loading, etc.
- Familiarity with deep learning and machine learning algorithms.
- Hands-on work on embedded systems using ARM processors, FPGAs, and/or other embedded platforms is a must.
Civil Maps has excited customers who are eager to use the products that we create. Be part of a passionate team of bright minded individuals who work on autonomous vehicle technology in an environment based on teamwork and collaboration. We offer a competitive salary, excellent benefits and opportunity to grow.