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Computer System Engineer Jobs in Concord, CA (NOW HIRING)

Required : • Bachelor's degree in Computer Science, Engineering, or related technical field (or equivalent practical experience) • 3+ years (System Engineer) or 5+ years (Senior System Engineer ...

System Engineer

San Francisco, CA · On-site

$160K - $185K/yr

S.) in Electrical Engineering, Computer Engineering, Systems Engineering, or a closely related technical field. * Minimum of 5 years of experience in a systems engineering role, with at least 3 years ...

System Engineer

San Francisco, CA · On-site

$160K - $185K/yr

S.) in Electrical Engineering, Computer Engineering, Systems Engineering, or a closely related technical field. * Minimum of 5 years of experience in a systems engineering role, with at least 3 years ...

System Engineer

San Francisco, CA · On-site

$200K - $300K/yr

Bachelor's degree in Computer Science, Engineering, or related technical field (or equivalent practical experience) * 3+ years (System Engineer) or 5+ years (Senior System Engineer) in Linux system ...

Perform system bring-up, validation, and performance testing for new hardware platforms ... Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related ...

Systems Engineer II/vCIO Division: Managed IT Services Branch: Pleasanton, Santa Rosa and San Mateo ... periodic system review * Develop and document maintenance routines for all computer systems

In this role, the System Engineer III will also coach and mentor other project engineers. Systems ... Good computer skills, understanding of controls networking. * A valid driver's license is required ...

Bachelor of Science in Computer Engineering, Computer Science, or related technical fields * Strong ... Proficient in applying Systems Engineering principles including defining SMART safety mitigations ...

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Computer System Engineer information

See Concord, CA salary details

$58.7K

$139.6K

$183.2K

How much do computer system engineer jobs pay per year?

As of Jun 8, 2026, the average yearly pay for computer system engineer in Concord, CA is $139,589.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $172,300.00 per year, depending on experience, location, and employer.

What is the difference between Computer System Engineer vs Network Engineer?

AspectComputer System EngineerNetwork Engineer
Required CredentialsBachelor's in Computer Science, certifications like CompTIA, Cisco (CCNA)Bachelor's in Computer Science or related, Cisco certifications (CCNA, CCNP)
Work EnvironmentDesigning, implementing, and maintaining computer systems and infrastructureDesigning, deploying, and managing network infrastructure and security
Employer & Industry UsageIT companies, large corporations, government agenciesTelecommunications, IT service providers, large enterprises
Common Search & ComparisonOften compared for system design and infrastructure rolesCompared for network setup and security roles

Computer System Engineers focus on designing and maintaining overall computer systems, including hardware and software integration. Network Engineers specialize in building and managing network infrastructure. Both roles require similar certifications and often work in overlapping industries, but their core responsibilities differ in scope and focus.

What cities near Concord, CA are hiring for Computer System Engineer jobs? Cities near Concord, CA with the most Computer System Engineer job openings:
Infographic showing various Computer System Engineer job openings in Concord, CA as of May 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $139,589 per year, or $67.1 per hour.

System Engineer

Fluidstack

San Francisco, CA • On-site

Full-time

Posted 3 days ago


Job description

Job Summary:
Fluidstack is focused on delivering compute infrastructure for AI, aiming to enhance human freedom through technology. As a System Engineer, you will manage and optimize GPU compute infrastructure to support AI/ML workloads, ensuring high availability and performance through automation and collaboration.
Responsibilities:
• Operate and maintain large-scale GPU server fleet (H100, B200, GB200) supporting AI/ML workloads; monitor system health, performance, and utilization to maximize uptime and ensure SLA compliance
• Perform hands-on troubleshooting and root cause analysis of complex hardware, firmware, OS, and application issues across GPU clusters; coordinate with vendors and hardware teams to resolve systemic failures
• Develop and maintain automation scripts for provisioning, configuration management, monitoring, and remediation at scale.
• Build and improve tooling for GPU health checks, performance diagnostics, driver validation, and automated recovery
• Execute server provisioning, configuration, firmware updates, and OS installation using automation frameworks; manage lifecycle operations including deployment, maintenance, and decommissioning
• Participate in 24x7 on-call rotation; respond to production incidents and coordinate resolution with cross-functional teams including datacenter operations, network engineering, and application teams
• Lead post-incident reviews, document root causes, and drive continuous improvement initiatives focused on automation, reliability, monitoring, and operational efficiency
Qualifications:
Required:
• Bachelor's degree in Computer Science, Engineering, or related technical field (or equivalent practical experience)
• 3+ years (System Engineer) or 5+ years (Senior System Engineer) in Linux system administration, datacenter operations, or infrastructure engineering
• Strong Linux/Unix fundamentals including system administration, shell scripting (Bash, Python), troubleshooting, and performance tuning
• Experience with server hardware architecture, troubleshooting techniques, and understanding of compute, memory, storage, and networking components
• Experience in automation and configuration management tools (Ansible, Puppet, Chef, Terraform)
• Strong analytical and problem-solving skills with ability to diagnose complex technical issues under pressure
• Excellent communication and collaboration skills; ability to work effectively with cross-functional teams
Preferred:
• Experience managing large-scale GPU infrastructure (NVIDIA H100, A100, B200, GB200) in production environments supporting AI/ML workloads
• Deep knowledge of GPU architecture, CUDA toolkit, GPU drivers, monitoring tools (nvidia-smi, DCGM)
• Experience with HPC cluster management, job schedulers (Slurm, PBS, LSF), and container orchestration (Kubernetes, Docker)
• Proficiency in out-of-band management protocols (IPMI, Redfish, BMC) and firmware management for server hardware
• Experience with high-performance networking (InfiniBand, RoCE, RDMA) and network troubleshooting in GPU cluster environments
• Familiarity with datacenter operations including rack installations, cabling, power management, and thermal considerations
Company:
Fluidstack provides cloud infrastructure for AI with GPU clusters, orchestration, and monitoring for intensive workloads. Founded in 2017, the company is headquartered in New York, USA, with a team of 51-200 employees. The company is currently Growth Stage.