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Senior Systems Software Engineer Jobs (NOW HIRING)

Jobgether

$190K - $300K/yr

The Senior Distributed Systems Software Engineer will design highly reliable backend systems focused on real-time data synchronization, streaming, and cloud-native architectures. Working on complex ...

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How much do senior systems software engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for senior systems software engineer in the United States is $135,290.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $160,000.00 per year, depending on experience, location, and employer.

What is a senior systems software engineer?

A Senior Systems Software Engineer is an experienced professional who designs, develops, and maintains system-level software such as operating systems, embedded systems, and network protocols. They are responsible for ensuring that software interacts efficiently with hardware, optimizing performance, and troubleshooting complex issues. Senior engineers often lead technical projects, mentor junior team members, and collaborate with cross-functional teams to deliver robust software solutions.

What are some common challenges faced by senior systems software engineers and how can they be addressed?

Senior Systems Software Engineers often encounter challenges such as integrating legacy systems with modern technologies, optimizing system performance under tight resource constraints, and ensuring robust security in complex environments. These challenges can be addressed by staying current with industry best practices, collaborating closely with cross-functional teams (like DevOps and Security), and regularly participating in code reviews and architecture discussions. Leveraging automation tools and maintaining thorough documentation also help in efficiently managing and scaling large, distributed systems.

What are the key skills and qualifications needed to thrive as a senior systems software engineer?

To thrive as a Senior Systems Software Engineer, you need deep expertise in computer science, operating systems, and programming languages like C/C++, often supported by a relevant degree and extensive experience. Familiarity with version control systems (e.g., Git), build automation tools, and debugging/profiling utilities is typically required, and certifications in systems programming or cloud platforms can be advantageous. Exceptional problem-solving, collaboration, and communication skills set standout engineers apart by enabling them to navigate complex systems and coordinate effectively with cross-functional teams. These skills are vital for building robust, efficient software solutions that meet business and technical requirements in demanding environments.
What cities are hiring for Senior Systems Software Engineer jobs? Cities with the most Senior Systems Software Engineer job openings:
Who are the top companies hiring for Senior Systems Software Engineer jobs? The top employers for Senior Systems Software Engineer jobs are:
What states have the most Senior Systems Software Engineer jobs? States with the most job openings for Senior Systems Software Engineer jobs include:
Infographic showing various Senior Systems Software Engineer job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $135,290 per year, or $65 per hour.

Senior Systems Software Engineer - GPU Performance at Scale

NVIDIA AI

Santa Clara, CA • On-site

Full-time

Re-posted 4 hours ago

Job description

Job Summary:
NVIDIA AI has been transforming computer graphics and accelerated computing for over 25 years. They are seeking a Senior Systems Software Engineer to drive innovation in AI and GPU computing, focusing on performance practices in large-scale GPU infrastructure.
Responsibilities:
• Lead the implementation of performance practices in large-scale GPU infrastructure, delivering powerful tools, methodologies, and flows to validate and improve multiple datacenter products concurrently.
• Align next-generation AI workloads with next-generation datacenter builds for NVIDIA GPUs, CPUs, and networking hardware. Engage early with HW/FW/SW/platform internal and customer teams.
• Develop engineering solutions that provide continuous insights into the performance of AI workloads in evolving environments, generating swift insights into improvements and regressions.
• Decompose high-complexity performance or stability issues into minimal reproduction cases, working towards identifying the root cause.
• Participate in collaborations with various SW and FW teams (BMC/SBIOS/OS/drivers, etc.) to develop outstanding methods and tools. Analyze, debug, and resolve critical firmware and software issues to achieve the highest AI workload performance at scale.
Qualifications:
Required:
• Proven understanding of accelerated computing software stacks (CUDA).
• Experience with modern cloud and container-based enterprise computing architectures, with Slurm preferred.
• Strong programming and scripting experience in C/C++/Python/Bash.
• Deep expertise in systems architecture and the impact of various components on performance.
• Experience with container technology and Linux-based OSes, with Docker preferred.
• Experience supporting high-performance computing or deep learning in engineering or academic research communities.
• Strong teamwork and communication skills, coupled with results-focused analytical abilities.
• BS in Engineering, Mathematics, Physics, or Computer Science (or equivalent experience); MS or PhD desirable with 8+ years of applicable experience.
Preferred:
• End-to-end GPU performance engineering from the profiler to systems analysis.
• Linux systems programming and optimization experience.
• Exposure to virtualization techniques and cloud platform solutions.
• Experience with scheduling and resource management systems.
• Experience with large-scale HPC environments.
Company:
Explore the latest breakthroughs made possible with AI. Founded in , the company is headquartered in Santa Clara, CA, US, , with a team of 10001+ employees. The company is currently Late Stage.

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