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Software Engineer

Brahma Consulting Group
locationPalo Alto, CA, USA
PublishedPublished: 6/14/2022
Technology
Full Time

Job Description

Job Description

What Youll Do

  • Build and optimize our full-stack developer platform for chip engineers using TypeScript/JavaScript, Python and modern frameworks.
  • Integrate AI features in close collaboration with ML engineers, and make key systems & architectural decisions.
  • Architect core developer workflows, including agentic environments, user experience & interface.
  • Drive performance optimization for local deployment, indexing large codebases and managing database.
  • Ship features rapidly, expect to make meaningful contributions every other day.


What Wed Like to See

Education: BS/MS in Computer Science, Software Engineering, Mathematics or a related field.


Core Skills:

  • Proficiency in TypeScript, Python, and extensive full-stack experience.
  • Comfort with at least one of these framework (e.g. Next.js, Express, Django, Rails).


Technical Experience:

  • Strong full-stack experiencedesigning RESTful APIs, working with relational or NoSQL databases.
  • Familiarity with frontend component libraries and state management patterns.
  • Proven track record of shipping features quickly and iterating fast based on feedback.


Systems Knowledge:

  • Comfortable in Linux environments, using virtual environments, Docker, and version control (Git)
  • Experience setting up or maintaining CI/CD (GitHub Actions, Jenkins, etc.)


Bonus:

  • Previous experience working with dev tool/ coding agents at IDE-focused companies (e.g., Windsurf, Cursor), or high-growth startups, Big Tech or Quant.
  • Competitive programming experience, Recognition at IMO, IOI, IPho etc. or published research.
  • Exposure to cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes).
  • Demonstrated ability to learn new technologies and frameworks on the fly.


What We Offer

  • Competitive salary and equity
  • Fast-paced startup with autonomy and visible impact
  • Cutting-edge AI-driven chip design challenges


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