Spot AI

Sr. Software Engineer, Video Pipeline (Remote or SF Bay Area)

San Francisco, California, United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Video Surveillance, Computer Vision, SaaS, BiotechnologyIndustries

Who We Are

At Spot AI, we’re building the future of intelligent operations, powered by the untapped potential of video. While we started with revolutionizing video surveillance, today we’re at the forefront of using cameras as sensors and AI Agents to automate human tasks across the physical world.

Our leading edge platform and award winning technology helps mid-market and enterprise businesses improve safety, security and operational efficiency by transforming video footage into actionable insights. From reducing downtime on manufacturing lines, to automating SOP checks at car washes, to scaling real-time monitoring across construction sites and mobile surveillance units, we give organizations a smarter way to run their operations and drive better business outcomes.

We are currently deployed across 10,000+ locations, serving some of the largest names in manufacturing, construction, logistics and retail. Whether through easy-to-build custom AI Agents that detect risks before they happen, or integrations with central monitoring centers to reduce false alarms, our vision is bold: to become the intelligence layer for every camera in the physical world.

Our exceptionally talented team has created a high growth trajectory that has attracted almost $100 million in investment from top venture firms, including Redpoint, Scale Venture Partners, Bessemer, StepStone and Qualcomm.

We’re looking for like-minded builders. We are an extremely passionate and ambitious team building a company designed to outlast our lifetime.

No matter the role or level, Spotans (our team members) share a common DNA, and we’re looking for more teammates who share the same high-performance mindset:

  • Relentless Drive: You have extreme ambition and something to prove. Challenges fuels you. Building isn’t just what you do; it’s who you are.
  • Builder’s Mentality: You thrive on creating new solutions, not maintaining the status quo. If you've founded a company, been employee number 1 - 20, or have run a venture for over two years, we’re especially excited to meet you!
  • High Hustle, High Humility: You combine high IQ with high EQ, a low ego, and an unyielding work ethic that pushes you to be among the best at what you do.

Our cultural pillars guide how we operate. We:

  • Spend Strategically. We maximize resources and minimize waste.
  • Push for Progress. We make decisions, move fast, and celebrate action.
  • Obsess Over Customers: We remove friction and add value to create delight.
  • Trust Our Team: Respect, trust and collaboration are non-negotiable.
  • Act Like Owners: We say what we’ll do, and we do what we say, taking pride and responsibility in our work.
  • Never Stop Having Fun: We’re creating something epic, and we’re having fun doing it.

Who You Are

You’re a seasoned video systems engineer who thrives on building complex, high-performance systems. You’ve spent the past 7+ years honing your craft in professional software engineering environments, and at least 3 of those have been focused on building or optimizing video pipelines using tools like GStreamer or FFmpeg. You’re comfortable with writing Rust code and bonus points if you’ve built gstreamer pipelines in Rust.

You love to experiment, iterate, and get things working in the wild. You understand the full flow of video data—from ingestion and decoding, to compression and streaming—and you know how to tune performance in resource-constrained environments like edge devices.

You have:

  • 7+ years of software engineering experience, with a strong focus on performance and reliability.
  • 3+ years building production-ready video pipelines with GStreamer, FFmpeg, or similar frameworks
  • Hands-on experience with streaming protocols like WebRTC, RTSP, or HLS and codecs like H.264, H.265
  • Experience coding in Rust or C/C++ programmers comfortable with using Rust, and deploying applications in Linux environments
  • A problem-solving mindset, strong communication skills, and a d

Skills

Video pipeline
AI Agents
Computer Vision
Software Engineering
Python
C++
Cloud Platforms (AWS, GCP, Azure)
Distributed Systems
Machine Learning
Data Structures
Algorithms

Spot AI

AI-powered camera systems for workplace safety

About Spot AI

Spot AI improves workplace safety and operational efficiency with AI-powered camera systems. Their high-resolution IP security cameras integrate easily into existing setups and are enhanced by user-friendly software that turns standard cameras into intelligent monitoring devices. Spot AI stands out by offering a cost-effective solution that includes automatic camera discovery and free software updates, helping businesses save on upgrades. The company's goal is to help clients better manage their physical environments while ensuring rapid deployment of their products.

Burlingame, CaliforniaHeadquarters
2018Year Founded
$90.5MTotal Funding
LATE_VCCompany Stage
Cybersecurity, AI & Machine LearningIndustries
51-200Employees

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
401(k) Retirement Plan
401(k) Company Match
Company Equity

Risks

Increased competition from tech giants could threaten Spot AI's market share.
Privacy concerns and regulatory scrutiny may impact Spot AI's operations and customer trust.
Supply chain disruptions could delay product delivery and affect customer satisfaction.

Differentiation

Spot AI transforms standard cameras into intelligent monitoring devices with AI integration.
Their user-friendly software offers seamless integration with existing security systems.
Spot AI provides free replacement cameras and software updates, ensuring access to the latest tech.

Upsides

Spot AI secured $31M in funding, enhancing their financial stability and growth potential.
The rise in AI-driven video analytics in healthcare aligns with Spot AI's offerings.
Growing demand for cloud-based video surveillance solutions supports Spot AI's business model.

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