Senior Systems Software Engineer developing and maintaining kernel mode drivers for NVIDIA's GPUs on Linux. Collaborating on complex System Software problems with a global team.
About the role
- Serve as the founding/first engineer for an early-stage AI-native venture; act as the technical cornerstone
- Ship code daily to build prototypes, MVPs, and first-production systems that users love
- Lead technical architecture from zero-to-one, balancing speed and scalability
- Shape the product roadmap alongside the founding team, not just implement it
- Build full-stack web or mobile apps with fast feedback loops
- Integrate AI frameworks (e.g., OpenAI, Anthropic, Gemini) into user products with thoughtful model selection and prompt design
- Set engineering culture and practices, from testing standards to delivery speed
- Make early technical decisions that will shape the company’s trajectory
- Kill bad ideas quickly and scale promising ones with conviction
- Collaborate directly with founding team and Gitwit studio partners to iterate on product and user validation
- Typical tech stack may include: Frontend: React + TypeScript; Backend: NestJS + TypeScript; Databases: PostgreSQL or MongoDB; DevOps: AWS or GCP with GitHub Actions; AI: OpenAI, Anthropic, Gemini
Requirements
- 5+ years of professional full-stack engineering experience
- Previous startup or early-stage experience, or a strong desire to dive into zero-to-one environments
- Proven track record of building software from scratch
- Ability to ship real products fast and iterate based on user feedback
- Deep product intuition and curiosity about what should be built
- Experience balancing short-term practicality with long-term technical considerations
- Ability to set technical direction and communicate it clearly to non-technical teammates
- Startup grit; comfortable wearing many hats and solving unstructured problems
- Humility, openness to feedback, and ability to debate ideas productively
- Experience scaling MVPs into production systems with real traction (preferred)
- Familiarity with AI/ML tools, vector databases, or autonomous agents (preferred)
- Strong product sense that balances UX, reliability, and performance (preferred)
- History of mentoring or leading engineers (preferred)
- Ability to challenge assumptions and persuade a team to test new directions (preferred)
Benefits
- Competitive salary + meaningful equity
- 3 weeks PTO
- Excellent health, vision, and dental insurance (99% of employee premiums paid)
- 401k with 4% match
- Life insurance
- Dog-friendly work environment
- Flexible work schedule
- Casual work attire
- High-trust, high-autonomy culture
- Close collaboration with experienced entrepreneurs, designers, and researchers in a private and collaborative workspace in Tulsa
Job title
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Degree requirement
No Education Requirement
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SG
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