Member of Technical Staff

DensityAI; Mountain View (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive salary

Equity

Professional advancement opportunities

Job summary

An innovative AI startup in Mountain View, CA, is seeking a Member of Technical Staff to design and build core components of next-generation AI compute solutions. The ideal candidate has a strong engineering background, experience in systems software or distributed systems, and a deep interest in AI infrastructure. This role offers competitive salary, equity, and opportunities for advancement in a fast-paced startup environment.

Qualifications

• Strong engineering background, with experience in various technical fields.
• Deep interest in AI compute, performance engineering, and infrastructure.
• Comfortable with ambiguity, rapid iteration, and ownership.

Responsibilities

• Design and implement critical components across hardware, systems, and software.
• Work on AI workloads, compute architectures, memory systems, and distributed infrastructure.
• Partner closely with other teams for co-design and performance optimization.

Skills

Systems software

Distributed systems

Compilers

Machine Learning systems

Performance engineering

Technical communication skills

Education

Degree in Computer Science or Electrical Engineering

Job description

AI Startup in Stealth | Mountain View, CA

AI Startup in Stealth is a full-stack semiconductor company founded by pioneers of AI silicon, systems, software, and infrastructure to build the next generation of full-stack AI compute solutions. The team is tightly knit, comprised of senior engineering leaders—many of whom have worked together at the forefront of AI—backed by world-class institutional investors and strategic partners.

We are looking for an exceptional Member of Technical Staff to help design, build, and scale core components of our next-generation AI compute platform.

Key Responsibilities

• Core Engineering & Architecture: Design and implement critical components across hardware, systems, and/or software stacks. Contribute to architecture decisions spanning silicon, systems, runtime, and infrastructure. Emphasis on performance, scalability, and reliability.
• AI Compute Systems Development: Work on problems at the intersection of AI workloads, compute architectures, memory systems, interconnects, compilers, runtimes, or distributed infrastructure. Translate AI performance requirements into concrete technical implementations.
• Cross-Disciplinary Collaboration: Partner closely with silicon, systems, and software teams to co-design end-to-end solutions. Bridge abstractions across layers to unlock step‑function improvements in performance, efficiency, and usability.
• Performance, Measurement & Optimization: Define metrics, build benchmarks, and analyze system behavior. Drive first‑principles optimization across compute, memory, networking, and software.
• Build & Scale the Platform: Help establish technical foundations, development workflows, and engineering best practices. Contribute to hiring and mentoring as the team scales.

Qualifications

• Strong engineering background, with a degree in Computer Science, Electrical Engineering, etc.
• Experience in one or more areas: systems software, distributed systems, compilers, ML systems, hardware‑software co‑design, silicon‑adjacent software, or large‑scale infrastructure.
• Deep interest in AI compute, performance engineering, and infrastructure at scale.
• Ability to operate with a builder mindset: comfortable with ambiguity, rapid iteration, and ownership.
• Strong technical communication skills and comfort working closely with senior technical leaders.
• Track record of technical excellence demonstrated through prior roles, projects, or research.

What We Offer

• Key leadership role in a rapidly growing startup shaping the future of AI.
• Competitive salary, equity, and benefits.
• Opportunities for professional rapid advancement based on exceptional performance.

Application Process

If you are passionate about the future of AI/ML compute and building world‑class finance and operations, we would love to hear from you. Please submit your resume and LinkedIn profile to: [e-mail]

Industry

Technology, Information, and Internet.