Job Details

Kadence is partnered with an exciting and innovative Quantum AI company in the Bay Area, working with cutting-edge technology and operating at the intersection of artificial intelligence and next-generation computing.

The Role

As a Research Engineer, you will act as a bridge between theoretical research and real-world implementation. You'll partner with scientists and researchers to translate early-stage ideas into scalable, high-performance systems.

Your work will focus on building the tools, infrastructure, and optimized implementations that enable rapid experimentation and accelerate the pace of innovation across the team.

Location:

San Francisco Bay Area

Key Responsibilities

Research & Algorithm Enablement

• Translate research concepts and algorithms into efficient, production-quality code
• Build reusable components and libraries to support ongoing research efforts
• Develop frameworks that allow rapid prototyping and iteration of new ideas
• Contribute to benchmarking and evaluation methodologies for experimental approaches

Machine Learning Systems

• Design and implement training pipelines for advanced and hybrid ML models
• Optimize model performance across training and inference workflows
• Apply numerical methods and optimization techniques to support model development
• Enable reproducible experimentation with strong tracking and data management practices

Performance & Systems Engineering

• Develop high-performance computing solutions, particularly leveraging GPUs
• Improve efficiency, scalability, and reliability of compute-intensive workloads
• Support distributed systems and large-scale experimentation environments
• Build tools that connect high-level algorithms to underlying execution systems

What We're Looking For

• Experience building shared infrastructure, frameworks, or tools used by technical teams
• Strong ability to interpret research papers and implement them effectively
• Solid understanding of performance optimization in compute-heavy systems
• Practical approach to software engineering, including testing and iteration
• Curiosity and interest in emerging areas of AI and advanced computing

Preferred Experience

• Proficiency with PyTorch, JAX, or similar ML frameworks
• Experience with GPU programming (e.g., CUDA or equivalent)
• Background in numerical computing, optimization, or scientific computing
• Familiarity with large-scale ML systems or research environments
• Strong foundation in mathematics (linear algebra, probability, algorithms)
• Exposure to compilers, low-level systems, or performance-critical infrastructure is a plus

Why Join

This role offers the opportunity to work on highly complex, forward-looking problems that push the boundaries of AI and computing. You'll play a key role in enabling breakthroughs by turning ideas into systems that scale.

What's Offered

• Competitive salary and equity package
• Comprehensive health and wellness benefits
• Flexible PTO and supportive work culture
• Visa sponsorship available where applicable
• Collaborative, mission-driven team environment

Comp

• $200,000 - $240,000 base, plus equity and benefits