Software Engineer - Computer Vision

Do you want to work on something super impactful that drives a sense of meaning and purpose in your everyday life? We are a San Francisco based startup with an ambitious goal of disrupting the $500B+ public safety space. We have moved rapidly from vision to execution: our MVP is live in production, with paying customers and multiple departments currently relying on our platform for daily operations. Founded by industry veterans from Amazon, Airbnb and Google with a track record of bringing big ideas to life, we are building a vertically integrated platform that blends hardware sensors, software algorithms and predictive AI models to transform public safety from a labor-driven service to a product based solution. We are seed funded by some of the world's best investors and entrepreneurs. If you deeply care about tech-for-good, have a track record of solving real-world problems at scale and have always been at the cutting edge of technical innovation, let’s talk!

WHAT YOU'LL DO:

• AI Innovation: Leverage advancements in AI to create solutions using edge/cloud reasoning models, computer vision and automation algorithms that improve public safety outcomes.
• Architect & Implement: Design high-availability, computer vision applications for our vertically integrated platform catering to public safety use cases like incident management, dispatch, investigations and real-time intelligence.
• Production Excellence: Deploy applications to our cloud-native infrastructure, transitioning new ideas from prototype to production while ensuring zero-downtime, high reliability and high performance for our customers
• Security & Compliance: Proactively identify and remediate vulnerabilities/threat vectors to ensure our production environment meets the rigorous compliance standards (CJIS, FEDRAMP) for law enforcement systems.
• Technical Leadership: Bring new ideas to the table, maintain a high-quality bar for our platform, lead technical deep-dives and promote best practices to level up the engineering team. Collaborate with designers, PMs and founders to influence the overall product direction.

WHAT WE'RE LOOKING FOR:

Mission & Mindset

• Mission Driven: You’re passionate about giving back to the community and believe there’s more to life than optimizing ad revenue, discretionary purchases or social media filters.
• 10x Mentality: You’re an innovator and a self-starter who doesn't wait for permission to make things happen.
• Startup Ready: You thrive in the ambiguity and intensity that comes with an early stage, seed-funded startup.

Core Technical Skills

• CS Fundamentals: Solid grasp of data structures, algorithms, operating systems, databases and networking.
• Infrastructure: Strong knowledge of AWS, PostgreSQL, gRPC, Docker and service-oriented architectures.
• Programming: Deep expertise in object oriented design concepts and modern languages like Python and Golang.

Computer Vision & AI

• Computer Vision: Experience using VLMs, Multimodal Models, GPU pipelines, camera sensors and Computer Vision algorithms to implement novel solutions.
• Computer Vision Fundamentals: Solid grasp of deep neural networks, classification, object detection, reasoning and tokenization.
• AI Development: Familiarity with AI development platforms like PyTorch, Hugging Face, OpenCV, DeepStream, MediaMTX and TensorRT.
• Next-Gen Tooling: Proficiency in AI-augmented development platforms like Claude Code, Cursor, Graphite and Codex.

Experience

• Education: Bachelor's Degree in Computer Science or a related field (Master’s equivalent to 1 year of experience)
• Industry: 3-5 years of professional software engineering experience (excluding internships)
• Specialization: At least 2 years of industry experience specifically with Computer Vision, Machine Learning or applied AI systems is preferred.

We are an equal opportunity employer and conform to the spirit as well as to the letter of all applicable laws and regulations. We prohibit discrimination and harassment of any type and afford equal employment opportunities to employees and applicants without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.