Senior Software Engineer - Applied AI at Hero Safety – San Francisco | Jobyssey

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, AI-enabled web and mobile 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.

AI & Emerging Tech

AI Fundamentals: Solid grasp of machine learning concepts like neural networks, classification, reasoning, tokenization and RAG.
Applied AI: Experience using LLMs, VLMs, Generative AI, Multimodal Models, GPU pipelines and Computer Vision to implement novel solutions.
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: 6–10 years of professional software engineering experience (excluding internships)
Specialization: At least 3 years of industry experience specifically with Machine Learning, Computer Vision 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

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