Solutions Architect, Data Center Infrastructure
NVIDIA
Linux
Senior Firmware Engineer, ML/Edge AI
Samsara
full-time
Posted on:
Origin: • 🇺🇸 United States
Visit company websiteSalary
💰 $126,140 - $212,000 per year
Job Level
Senior
Tech Stack
CloudGoLinux
About the role
- Design and develop edge AI, multimedia, and camera infrastructure for video-safety products and vehicle gateways.
- Influence a team of engineers on Video-Safety products and Vehicle-Gateway, solving complex technical problems and guiding architectural tradeoffs.
- Assume ownership in maintaining production systems managed by your team and provide operational support and supervision when necessary.
- Participate in roadmap planning sessions; collaborate with cross-functional peers to define technical direction, priorities, tooling, and release infrastructure.
- Ensure AI algorithms run accurately and within device constraints on the edge.
- Partner closely with Hardware team in defining and building next generation devices.
- Mentor other engineers and raise technical standards.
- Champion and embed Samsara’s cultural principles across the organization.
Requirements
- 6+ years of relevant experience in embedded software development, preferably with a focus on embedded Linux systems.
- Strong experience in programming with Golang, C/C++, or similar.
- Proven experience defining and implementing scalable embedded software architecture.
- Proven experience planning, designing, scoping and delivering complex, multi-team, or cross-system long-term projects, involving external dependencies.
- A desire to mentor and grow engineers of all levels.
- Strong written and verbal communication skills, with the ability to work with senior executives as well as junior engineers.
- Commitment to rigorous testing & validation practices.
- Experience working with teams across multiple disciplines, including but not limited to Product Management, Cloud Software, Machine Learning, and Hardware.
- Ability to secure and maintain the legal right to work at the company and in the specified work location (work authorization requirement).
- (Ideal) Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or related field.
- (Ideal) Experience with one or more of: Edge Camera Systems, Video Capture, Video Encoding, Embedded AI.
- (Ideal) Familiarity with a diverse set of quality/testing practices and continuous integration tooling.
