Senior Firmware Engineer, VergeSense

• 5+ years firmware development experience
• Experience researching, designing and developing contemporary processor, networking, user interface, sensor, safety, and charging electronics
• Experience in developing code for low power wireless devices e.g. WiFi, BLE
• Experience in developing devices for large volume production
• A track record of delivering designs optimized for multiple dimensions including cost and reliability
• Experience developing from the lowest levels of circuit design to full-scale system design and see those systems all the way through to volume manufacturing and field deployment
• Design for security experience
• Experience working on platform software including bare metal, RTOS, board bring-up, diagnostics, and communication interfaces including UART, I2C, SPI
• Experience designing a variety of peripheral devices and sensors
• Experience C coding in an embedded Linux environment is a plus
• Ability and willingness to make critical system-level design decisions and drive projects from start to finish with minimal supervision

• We are looking for an experienced Firmware Engineer to be a strong leader on our engineering team
• Own firmware shipping to hundreds of global fortune 500 customers
• Work on exciting low power inference on the edge technologies that bring proprietary computer vision algorithms to low powered, wireless, embedded systems
• Engage constructively with team to define requirements, develop software architecture, and plan development in dynamic, evolving problem spaces
• Be a creative element that delivers innovative solutions from concept to prototype to production
• Conduct software unit tests to exercise your implemented functionality
• Document your software designs
• Contribute to factory test procedures to ensure shipment of quality product
• Troubleshoot and remove defects from production software
• Communicate and interact with team to clearly set expectations, share technical details, resolve issues, and report progress
• Participate in brainstorms and otherwise contribute outside your area of expertise

• Employer-sponsored medical
• Dental and vision insurance (dependent on location)
• Open Vacation policy: take time off when you need it

Total funding: $82.7m

Data collection and analysis are frequently used by businesses to develop efficient software workflows to save money and time, but the AI that fuels these approaches is rarely applied to analyze offline activity. Despite the lack of this application, inefficiencies in the workplace could be solved from such insights by ensuring facilities are managed and used efficiently.