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Stack Infrastructure Jobs in Santa Clara, CA (NOW HIRING)

Socket.dev

ML Infrastructure Engineer

Palo Alto, CA · On-site

$180 - $440/hr

Working across the full stack to solve complex problems independently * Mentoring junior engineers ... GPU infrastructure, and/or deep learning applications * 2+ years experience with ML platforms ...

Teleo

Senior Full Stack Engineer

Palo Alto, CA · On-site

... infrastructure-as-code (Terraform or CDK) • Integrate with hardware systems via REST APIs and ... Required : • 4+ years of professional full-stack development (Python + React/TypeScript) • ...

Replit

Staff Infrastructure Engineer

Foster City, CA · On-site

$220K - $325K/yr

Join our Infrastructure Engineering team and help ensure the reliability, scalability, and ... Your mission will be to proactively find and analyze reliability problems across our stack, then ...

Clera

Full Stack Engineer

San Mateo, CA · On-site

About the Role This is a full-stack engineering role at an early-stage AI infrastructure startup building an enterprise context layer that makes AI agents reliable, accurate, and secure for business ...

Apple

Cloud Infrastructure Engineer

Sunnyvale, CA

$184K - $324K/yr

Your work will involve full-stack ownership of cloud services: from defining system architecture and APIs to implementing back-end services and deploying infrastructure as code. We use a broad range ...

FlexAI

Senior Full Stack Engineer

San Jose, CA · On-site

$180K - $225K/yr

The FlexAI Compute Infrastructure Platform provides an "end-to-end AI compute layer" for running ... Role Overview FlexAI is looking for a Senior Full Stack Engineer who can build end-to-end features ...

Gatik AI

Senior AI Infrastructure Engineer

Santa Clara, CA · On-site

$127K - $173K/yr

You will bridge the gap between research and production, ensuring our AI stack is scalable ... Agentic Infrastructure & Automation * Self-Healing AI Infrastructure: Architect and deploy ...

Shaarpro

Full Stack Developer

Mountain View, CA · On-site

This Full Stack Developer position will be responsible for various aspects of UI architecture ... Strong understanding of back-end development, databases, and cloud infrastructure * Ability to lead ...

Gatik AI

Senior AI Infrastructure Engineer

Santa Clara, CA · On-site

$127K - $173K/yr

You will bridge the gap between research and production, ensuring our AI stack is scalable ... Agentic Infrastructure & Automation * Self-Healing AI Infrastructure: Architect and deploy ...

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All JobsStack Infrastructure JobsStack Infrastructure Jobs in Santa Clara, CA

Stack Infrastructure information

See Santa Clara, CA salary details

$52.2K

$158.2K

$223.7K

How much do stack infrastructure jobs pay per year?

As of Aug 31, 2026, the average yearly pay for stack infrastructure in Santa Clara, CA is $158,229.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,300.00 and $185,500.00 per year, depending on experience, location, and employer.

What is stack infrastructure?

Stack Infrastructure is a company that specializes in providing data center solutions, including colocation and cloud infrastructure services. They design, build, and operate data centers for businesses requiring secure, reliable, and scalable IT environments. Stack Infrastructure supports enterprises with high-performance computing needs and offers customizable infrastructure to accommodate growth and technological advancements.

What are the key skills and qualifications needed to thrive in stack infrastructure roles?

To excel in Stack Infrastructure roles, you need a solid understanding of data center operations, networking, hardware management, and often a degree in IT or related fields. Familiarity with tools like virtualization platforms (VMware, Hyper-V), monitoring systems, and certifications such as CompTIA Server+, Cisco CCNA, or AWS Certified Solutions Architect are typically required. Strong problem-solving abilities, attention to detail, and effective communication make candidates stand out in this position. These skills ensure the reliable and secure operation of critical infrastructure, supporting business continuity and scalable technology solutions.

What are some common challenges faced by professionals working in stack infrastructure roles, and how can they be addressed?

Professionals in Stack Infrastructure often face challenges such as managing scalability, ensuring system reliability, and coordinating between development and operations teams. Adapting to rapidly evolving technologies and maintaining security standards can also be demanding. Overcoming these challenges typically involves staying current with industry best practices, utilizing automation tools, and fostering clear communication within cross-functional teams. Continuous learning and proactive problem-solving are key to thriving in this dynamic environment.

Is Stack Infrastructure a good company to work for?

Stack Infrastructure offers roles related to infrastructure management, often involving skills in cloud platforms, networking, and system administration. Employee reviews indicate a focus on technical growth and collaborative environments, but experiences can vary based on role and location.

What are popular job titles related to Stack Infrastructure jobs in Santa Clara, CA?

For Stack Infrastructure jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Stack Infrastructure jobs in Santa Clara, CA look for?

The top searched job categories for Stack Infrastructure jobs in Santa Clara, CA are:

Stack Infrastructure jobs near you
Infographic showing various Stack Infrastructure job openings in Santa Clara, CA as of August 2026, with employment types broken down into 88% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $158,229 per year, or $76.1 per hour.

ML Infrastructure Engineer

Socket.dev

Palo Alto, CA • On-site

$180 - $440/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 12 days ago

Job description

SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands‑on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

ABOUT THE ROLE:

As an ML Infrastructure Engineer, you will play a pivotal role in building and optimizing the reliable, high-performance ML platform that powers recommendations on X. We're looking for exceptional engineers who are passionate about our mission and have a strong desire to make a meaningful impact.

RESPONSIBILITIES:
  • Designing, building, and scaling GPU compute infrastructure, training frameworks, and experimentation tools to enable rapid iteration on ML hypotheses
  • Developing data pipelines and integrating large-scale data, training, and inference systems
  • Collaborating with ML teams to productionize models and ensure seamless integration across the stack
  • Ensuring scalability, reliability, and efficiency of large-scale machine learning systems
  • Working across the full stack to solve complex problems independently
  • Mentoring junior engineers and contributing to the growth of the team
BASIC QUALIFICATIONS:
  • Bachelor, Master, Post-graduate or PhD in computer science, machine learning, or other quantitative discipline; or equivalent work experience
  • 2+ years of industry experience working with high traffic or large-scale production environments, distributed systems, GPU infrastructure, and/or deep learning applications
  • 2+ years experience with ML platforms, training infrastructure, or close collaboration with modeling engineers and data scientists
  • Strong proficiency with Python and experience with compiled languages such as C++ or Rust
PREFERRED SKILLS AND EXPERIENCE:
  • Deep familiarity with modern ML frameworks such as JAX or PyTorch
  • Low-level understanding of compute systems, including distributed storage, NVIDIA drivers, CUDA toolkits, and networking
  • Comfortable with Linux systems and orchestration tools
  • Experience with job schedulers (e.g., Slurm), configuration management (Puppet/Ansible), or related infrastructure tooling
COMPENSATION AND BENEFITS:

$180,000 - $440,000 USD

  • equity
  • comprehensive medical, vision, and dental coverage
  • 401(k) retirement plan
  • short term disability insurance
  • long term disability insurance
  • life insurance
  • various other discounts and perks

SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

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