Senior Software Engineer, Spot AI
AI Infrastructure
$123-190k
+ Equity
More information about location
AI-driven video intelligence platform
Job no longer available
AI-driven video intelligence platform
101-200 employees
Job no longer available
$123-190k
+ Equity
More information about location
101-200 employees
Company mission
Spot AI's mission is to make video footage accessible and easy-to-use for every person at every business.
Role
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
- 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 the job involves
- 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
Our take
Video intelligence is the process of analyzing real-time video footage with AI-driven computer vision to diagnose and solve problems. Whilst most businesses could benefit from such technology, it usually requires the expensive and disruptive installation of specialized camera equipment, and when combined with its complexity of use, this deters many potential users.
Spot AI develops an AI-driven video intelligence platform for businesses, offering software integrations for existing cameras and free-to-use high-resolution cameras. The platform allows all relevant parties to access videos securely and investigate them through AI-driven computer vision, preventing the need for time-consuming manual investigations and back-and-forth access dilemmas.
The largest challenge the company faces is the expensive nature of video intelligence, but Spot AI provides its technology either through integration with existing cameras or by providing its high-definition cameras for free. 2025 saw it release a breakthrough for the industry - the first remote video AI agents for physical security.
Along with offering 24/7 cloud storage to unlimited users with automated privacy compliance, these approaches show potential for the company to boost accessibility to video intelligence whilst making the technology easier to use, more effective, and less expensive. Substantial funding comes off the back of Spot AI's position as the fastest-growing video intelligence company, with 17 industries under its belt
Freddie
Company Specialist at Welcome to the Jungle
Insights
41% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Oct 2024
$31m
LATE VC
Nov 2022
$40m
SERIES B
Total funding: $93m
Company benefits
- Long-term career growth and achievement opportunity
- Medical, dental and vision coverage
- 401K with employer match
- 14 weeks of paid parental leave
- Learning and development opportunities
- Remote flexibility
- Work from home stipend to set-up home office
- Unlimited PTO
Company HQ
Los Altos, CA
Leadership
Tanuj Thapliyal
(Co-Founder)Hardware Program Engineer at Meraki, Inc. from 2011 to 2013. Co-founder of Mellow Research from 2015 to 2017.
Rish Gupta
(Co-Founder & CEO)Experience as Co-founder and CEO of Letsintern.com from 2010 to 2016. Senior Product Manager for Samsara, Inc. from 2018 to 2019.
Sud Bhatija
(Co-Founder & COO)Chief of Staff for Ecofirst Services Limited from 2011 to 2015. Experience as Head of Growth for Uptake, Zinier, and Simpa Networks.
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