Today, developing a single new drug or industrial molecule or material costs $5+ billion and takes over a decade. Azulene Labs is on a mission to make molecular discovery radically faster, cheaper, and more accurate. In energy, chemicals, and pharma, progress is throttled by slow, inaccurate prediction. Our team builds the world’s most accurate computational models—combining advanced mathematical physics, quantum mechanics, statistical mechanics, and deep learning.
Our models will fundamentally change how new materials, medicines, and sustainable technologies are invented. Imagine cutting years and billions off the timeline to new cancer drugs, battery materials, enzymatic catalysis, or recyclable materials. That’s the scale of impact you’ll have here.
What you’ll do:
- Develop and deploy new physics-based models that dramatically improve the predictive accuracy of molecular and materials simulations.
- Spend up to a third of your time on analytical/mathematical work: deriving new algorithms, analytically testing approximations, and digging into the mathematical underpinnings of physical models.
- Write high-performance code in C++ and Python, often with an emphasis on parallel computing (OpenMP, MPI, CUDA, or Triton).
- Collaborate across disciplines with a tight-knit, world-class team—and contribute to a culture where everyone is always learning, teaching, and tackling new fields as needed.
- Own your projects end-to-end, from concept through mathematical analysis, prototyping, scaling, and deployment.
Who you are:
- PhD in chemical physics, applied physics, high-energy physics, mathematics, or a closely related field (other theoretical sciences welcome)
- Deep expertise in both quantum mechanics and thermodynamics/statistical mechanics
- Track record of developing—not just using—new physical or mathematical models
- Fluent in both analytical/mathematical theory and scientific computing
- Strong C++ programming skills; experience with parallel programming (OpenMP, MPI, CUDA, or Triton) highly desired
- Excellent at both independent, rigorous research and open, collaborative teamwork—flexible, driven, self-starting, and mission-focused
Why Azulene Labs?
- Transformational impact: Crack fundamental bottlenecks in science, with direct consequences for health, climate, and technology
- Ownership at scale: Receive a significant equity stake as an early employee—your contribution directly shapes the company’s future and success
- Culture of excellence: Join a team that values deep thought, relentless learning, and tackling the hardest scientific problems head-on
- Real challenge: We work hard. The problems are tough, expectations are high, and the reward—personal, professional, and scientific—is extraordinary
Location:
- Local candidates (San Francisco Bay Area): In-person preferred in San Francisco or Berkeley
- Remote considered for exceptional out-of-state candidates
Compensation:
Startup-level salary plus a major equity grant as an early team member.
Ready to redefine what’s possible in molecular simulation?
Apply with your CV and a brief description of your most original analytical or computational accomplishments.
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