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Fortitude Systems Jobs in California (NOW HIRING)

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Fortitude Systems information

See California salary details

$20.7K

$107K

$150K

How much do fortitude systems jobs pay per year?

As of Aug 22, 2026, the average yearly pay for fortitude systems in California is $107,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,900.00 and $115,000.00 per year, depending on experience, location, and employer.

What is a Fortitude Systems job?

A Fortitude Systems job typically refers to a position at Fortitude Systems, a staffing and consulting firm that specializes in placing professionals in IT, engineering, and other technical roles. Employees may work directly for Fortitude Systems or be placed with client companies on contract or full-time assignments. These roles can include software development, cybersecurity, data analysis, and other technology-focused careers. Fortitude Systems provides career growth opportunities, industry connections, and support throughout the hiring process.

What are the key skills and qualifications needed to thrive in the Fortitude Systems position, and why are they important?

To excel at Fortitude Systems, professionals typically need strong technical recruiting skills, a background in talent acquisition, and an understanding of information technology and business environments. Experience with applicant tracking systems (ATS), LinkedIn Recruiter, and industry certifications such as AIRS or LinkedIn Certified Professional Recruiter are highly valuable. Excellent interpersonal skills, adaptability, and the ability to build strong client and candidate relationships make someone stand out in this field. These skills ensure effective recruiting, strong client satisfaction, and successful career placements in a fast-paced, results-driven industry.

What are some common challenges faced by recruiting professionals at Fortitude Systems?

Recruiting professionals at Fortitude Systems often encounter challenges such as sourcing qualified candidates in competitive IT markets, managing multiple job requisitions simultaneously, and ensuring timely communication with both clients and candidates. Adapting quickly to clients' evolving technical needs and staying current on technology trends are also key aspects of the role. Despite these challenges, the team environment is collaborative and supportive, with ongoing training to help address market demands. Successfully navigating these challenges helps drive both client satisfaction and career growth within the company.

What are the most commonly searched types of Fortitude Systems jobs in California?

The most popular types of Fortitude Systems jobs in California are:

What are popular job titles related to Fortitude Systems jobs in California?

For Fortitude Systems jobs in California, the most frequently searched job titles are:

What job categories do people searching Fortitude Systems jobs in California look for?

The top searched job categories for Fortitude Systems jobs in California are:

What cities in California are hiring for Fortitude Systems jobs?

Cities in California with the most Fortitude Systems job openings:

Fortitude Systems jobs near you
Infographic showing various Fortitude Systems job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 7% Part Time, 3% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $107,012 per year, or $51.4 per hour.

Member of Technical Staff - Sandbox Platform

Prime Intellect

San Francisco, CA • On-site

$150/hr

Full-time

Re-posted 13 days ago

Job description

Own Your Intelligence
Prime Intellect is building the open superintelligence stack: the infrastructure frontier AI labs build internally, made available to every ambitious AI team.
Our platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment into one full-stack system for post-training at frontier scale - from SFT and RL to tool use, agent workflows, and continuously improving production models. We are building open frontier AI: open-source models trained end to end for long-horizon tasks like autonomous research, and the full-stack platform our own research team uses to build them. The next generation of AI companies, enterprises, and research teams do not just need more GPUs. They need the ability to turn their own workflows, tools, data, and feedback loops into superintelligence they own.
Prime Intellect has raised $150M in total funding from Founders Fund, Radical Ventures, NVIDIA, and exceptional AI, infrastructure, and enterprise operators - including Andrej Karpathy, Dwarkesh Patel, and leaders and founders from Ramp, Perplexity, Harvey, Mercor, Zapier, Datadog, Cognition, OpenAI, Thinking Machines, Together AI, SemiAnalysis, LangChain, Browserbase, Cloudflare, Sierra, Databricks, Airbnb, OpenRouter, Standard Intelligence, Fleet, Core Auto, and more. We are looking for people who want to build at the intersection of frontier research, real infrastructure, and go-to-market for a category that does not fully exist yet.
Role Impact
This is a hybrid role spanning both our infrastructure layers and developer platform. You'll work on two key areas:
  1. The underlying sandbox infrastructure that powers our training systems
  2. Our developer-facing platform for AI workload management

You will work on a distributed system with performance engineering at its core. The role will draw on the full breadth of your systems skills, from deep Linux kernel topics to high-level distributed system design. Expect your low-level systems fortitude to be pushed as you build infrastructure that remains fast, robust, and reliable at scale.
Core Technical Responsibilities
Infrastructure Development
  • Design and implement distributed orchestration infrastructure in Go and Rust
  • Build high-performance networking and coordination components
  • Create infrastructure automation pipelines with Ansible
  • Manage cloud resources and container orchestration
  • Implement scheduling systems for heterogeneous hardware (CPU, GPU, TPU)

Platform Development
  • Build intuitive web interfaces for AI workload management and monitoring
  • Develop REST APIs and backend services in Python
  • Create real-time monitoring and debugging tools
  • Implement user-facing features for resource management and job control
Technical Requirements
Infrastructure Skills
  • Systems programming experience with Rust
  • Strong Linux systems knowledge, including networking, namespacing, and performance tuning
  • Virtualization experience, including VMs, hypervisors, and low-level resource management
  • Infrastructure automation (Ansible, Terraform)
  • Container orchestration (Kubernetes)
  • Cloud platform expertise (GCP preferred)
  • Observability tools (Prometheus, Grafana)

Platform Skills
  • Strong Python backend development (FastAPI, async)
  • Modern frontend development (TypeScript, React/Next.js, Tailwind)
  • Experience building developer tools and dashboards
  • RESTful API design and implementation
Nice to Have
  • Experience with GPU computing and ML infrastructure
  • Knowledge of AI/ML model architecture and training
  • High-performance networking implementation
  • Open-source infrastructure contributions
  • WebSocket/real-time systems experience
What We Offer
  • Cash Compensation Range of $150-300k with significant equity incentives
  • Flexible work arrangement (San Francisco office preferred, remote possible for exceptional candidates)
  • Full visa sponsorship and relocation support
  • Professional development budget for courses and conferences
  • Regular team off-sites and conference attendance
  • Opportunity to shape the future of decentralized AI development
Growth Opportunity
You'll join a team of experienced engineers and researchers working on cutting-edge problems in AI infrastructure. We believe in open development and encourage team members to contribute to the broader AI community through research and open-source contributions.
We value potential over perfection - if you're passionate about democratizing AI development and have experience in either platform or infrastructure development (ideally both), we want to talk to you.
Ready to help shape the future of AI? Apply now and join us in our mission to make powerful AI models accessible to everyone.

Apply