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Harmonic

Software Engineer, Product

Palo Alto$175k–$300kfulltimemidAdded today

About this role

Join Harmonic as a Software Engineer, Product to architect and build the full-stack infrastructure for our AI mathematical reasoning platform. You'll own end-to-end product development, designing scalable backend systems and intuitive user interfaces while collaborating closely with product, design, and research teams.

What you'll do

  • Own end-to-end product development from concept through launch, collaborating with product and design leadership
  • Architect and optimize full-stack components to handle complex, interactive data streams efficiently
  • Design, implement, and maintain scalable APIs and data flow architectures
  • Manage and scale backend systems and cloud infrastructure for reliability and observability
  • Partner with design, research, and leadership to translate technical capabilities into user-facing features
  • Architect technical infrastructure supporting core platform integrations and public-facing web systems

What they're looking for

  • TypeScript and React
  • Python for backend and data pipelines
  • Distributed systems design
  • RESTful and GraphQL APIs
  • Cloud infrastructure and deployment
  • High-throughput messaging and real-time data systems
  • Code quality and modern development practices
  • Product collaboration and iterative development

Benefits

  • Unlimited PTO
  • 401(k) matching
  • 100% employer-paid health, vision, and dental for employees; 50% for dependents
  • Health Savings Account (HSA) available
  • Work on cutting-edge AI mathematical reasoning technology
  • Opportunity to impact long-standing open problems in mathematics
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Harmonic

Harmonic builds AI systems for mathematical reasoning and theorem proving, combining reinforcement learning with formal methods to achieve rigorous, verifiable problem-solving. The company is hiring Research Engineers to optimize its ML infrastructure and algorithms, Software Engineers to productionize research into scalable systems, and full-stack engineers to build user-facing products around these capabilities.

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Likely interview questions

  • Describe a time you architected a full-stack system from scratch; what were the key technical decisions and trade-offs?
  • How have you approached designing APIs that scale to handle high-throughput data processing?
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