Embedded Software Engineer Nauto - Palo Alto, CA, US

Embedded Software Engineer

Nauto

Palo Alto, CA, US

Job Type: Full-Time

Function: Engineering Software

Industry: Logistics

About Nauto

Nauto is the leader in AI-powered safety and operations excellence for commercial fleets. Nauto simplifies day-to-day operations by consolidating driver and fleet safety, risk, and core telematics in a driver-friendly platform.

Job Description

At Nauto you can make an impact at a high-impact company. We believe technology can help prevent collisions and save lives with predictive-AI that detects driver state and vehicle surroundings in real-time. More than 90% of car crashes can be attributed to human error. Nauto technology is designed to predict risk and alerts the driver with advance warning to help prevent collisions, improve driver safety, and save lives.

Our customers and prospects include many of the largest commercial fleets in the world along with vehicle manufacturers (OEMs), insurance providers, and autonomous vehicle companies. The company is backed by Greylock Partners, BMW iVentures, General Motors Ventures, Toyota AI Ventures, and SoftBank, and is well-positioned for continued growth.

Key Qualifications

• You are self motivated and driven with solid programming skills for delivering applications for embedded platforms.
• You have strong Android/Linux/RTOS Platform and Application development experience.
• Strong C/C++ Development skills.
• 5+ years excelling in software engineering roles with track record of successful delivery of production quality software for embedded automotive applications, preferably developing and delivering Edge AI solutions.
• BS in Computer Science, Computer Engineering or relevant technical field required, MS a plus.
• Experienced working with Neural Networks, integrating and optimizing on edge / mobile devices.
• Experience working on computer vision and media processing application on edge/mobile device.
• Experience troubleshooting and debugging edge AI systems, addressing performance bottlenecks and issues.

Key Responsibilities

• As a member of our Device Engineering team, you will be responsible for development of Automotive Applications, integrating into the Nauto device platforms, as well as the platforms of key partners and OEMs.
• Partner with algorithm development teams to deploy AI models on edge devices.
• Optimize models for inference on edge devices.
• Experience in ASPICE and ASIL is a plus.
• Collaborate with Product Management to translate customer needs to ML solutions.
• Write Unit Test and System Test modules for verification and validation.
• You will be working with hardware engineers to create firmware and software for the hardware being designed with hardware and deliver functionality for the platform.
• You will own the delivery of your code from end-to-end, automating continuous integration and delivery.

Why You'll Love Working at Nauto

• Competitive hourly wage
• Stock options
• Comprehensive health benefits (medical, dental, vision) for employees and qualified dependents
• Healthcare spending accounts (FSA, HSA)
• 401K retirement plan
• Up to 20 weeks of parental leave
• Flexible PTO policy

Location

• San Francisco Bay Area (Hybrid)

We are committed to creating a diverse and inclusive environment that fosters learning from each other. We celebrate people of diverse backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer and are committed to providing a work environment free of harassment and discrimination.

To all recruitment agencies: Nauto does not accept agency resumes. Please do not forward resumes to our jobs alias, Nauto employees or any other company location. Nauto is not responsible for any fees related to unsolicited resumes.

The US base salary range for this full-time position is $180,000-$230,000 + commission + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US, remote locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education and/or training.

Your recruiter can share more about the specific salary range for your work location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity or benefits.