Sr. Software Engineer, AI Infrastructure

Founded in 2018 by engineers from Stanford, Cisco Meraki, and Samsara, Spot AI is the fastest growing Video Intelligence company in the U.S. We are upending the $30 billion video surveillance market with an AI Camera System to help people at work create safer, smarter organizations. In the process, we’re disrupting video security to create a new category of Video Intelligence.

We are experiencing tremendous growth and are deployed at thousands of locations across businesses in 17 different verticals, ranging from local businesses to Fortune 500s. Our customers range from warehousing and healthcare to nonprofits and car washes including SpaceX, ExtraSpace Storage, WineDirect, YMCA, and Veg Fresh Farms.

We’ve raised $40M Series B financing to continue to transform how organizations use their video footage. We’re backed by Scale Venture Partners, Redpoint Ventures, Bessemer Venture Partners, StepStone Group, and MVP Ventures.

Who You Are:

You’re a self-driven, highly skilled AI Infrastructure Engineer with expertise in designing, architecting, and productizing computer vision or other AI systems in cloud and on edge. You excel at building and shipping infrastructure and tooling for computer vision or other AI products in production, and bring a combination of passion and creativity along with a pragmatic approach. You have the skills to architect distributed AI systems that can handle millions of hours of customer footage. You know how to work cross functionally to meet the needs of multiple stakeholders, and you have a track record of success.

Note: candidates for this role must be geographically located in the United States.

What Excites You:

• Working and mutually learning from an extremely high caliber engineering team
• Developing real-time, high availability video intelligence systems in cloud and on edge, with lots of ownership and opportunities to implement novel solutions
• Delivering video intelligence infrastructure and tools in ways that are thoughtful about end user privacy, such as edge inference and federated training
• Designing, owning and scaling end-to-end edge and cloud AI platforms
• Operating with autonomy in a fast paced environment
• Communicating directly with customers to better understand their use-cases for iterating on future product roadmap

What Gets Our Attention:

• 3+ years of experience building and productizing AI infrastructure at scale both in cloud AND on edge
• Track record of delivering outstanding results
• Strong engineering fundamentals with various back-end technologies
• Expertise leveraging leading cloud AI platforms, such as GCP, Azure, or AWS for real-time inferencing
• Experience with big data processing technologies and databases, such as Apache Beam, Hadoop, Spark, Kafka, Pub/Sub, Dataflow, BigQuery or Bigtable
• Experience with real-time, edge AI systems with limited memory and compute resources
• Experience building MLOps tools for automated testing, training and deployment
• Outstanding communication skills
• Ability to prioritize and synthesize engineering tasks with first principles thinking
• Ability to rapidly pick up new technologies and techniques and implement them
• Bachelor’s degree in computer science or a related field; master’s degree or higher preferred

What’s In It For You:

• Base Salary Range: $123,000 – $190,000. Offered salary will be based on the offered candidate’s demonstrated attributes and competencies related to the role, as well as the offered candidate’s geographical location within the United States. Your recruiting partner can share more details about the compensation range as it relates to your geography once your interview process has begun
• Generous early stage equity
• Medical, dental and vision plan options
• 401K with employer match
• Flexible and supportive time off practices, including self-managed PTO and a generous new parent leave policy
• Learning and development opportunities
• Remote work flexibility, including a stipend to set up your ideal home office

What We Value:

We operate under a trio of company values:

• Customer First, Always. We are relentlessly curious about our customer’s goals, and seek the simplest solutions to solve their problems.
• Own Your Outcomes. We bias towards action, move fast, and iterate. Everyone on our team is empowered to make decisions.
• It’s a team effort. We help each other succeed. We leverage each other’s strengths to accomplish big goals together.

And, we are creating and cultivating a diverse and inclusive culture where we celebrate individuals for what they accomplish, no matter who they are! As an equal opportunity employer, we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.