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Ebpf Linux Jobs (NOW HIRING)

SentinelOne

OR

$122K - $161K/yr

... new Linux related security technologies through design and implementation of strategies and ... You will work on low-level kernel hooks leveraging eBPF through user-space processing pipelines ...

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How much do ebpf linux jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for ebpf linux in the United States is $55.32, according to ZipRecruiter salary data. Most workers in this role earn between $50.24 and $59.38 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an eBPF Linux engineer?

To thrive as an eBPF Linux Engineer, you need strong skills in Linux systems programming, networking fundamentals, and proficiency with C or Go, often supported by a computer science degree or equivalent experience. Familiarity with eBPF tools (like bpftrace, libbpf, or bpftool), kernel debugging, and knowledge of containerization platforms are typically required. Analytical thinking, problem-solving, and effective collaboration set top professionals apart in this field. These competencies are crucial for developing efficient, secure, and scalable system observability or networking solutions within complex Linux environments.

What is the difference between Ebpf Linux vs Linux Kernel Developer?

AspectEbpf LinuxLinux Kernel Developer
Required credentialsKnowledge of eBPF, Linux internals, C programmingDeep understanding of Linux kernel, C, and kernel modules
Work environmentDeveloping and deploying eBPF programs within Linux systemsWriting, maintaining, and optimizing Linux kernel code
Employer and industry usageTech companies, cloud providers, security firms using eBPF for monitoring and securityOperating system vendors, enterprise IT, open-source projects

Ebpf Linux specialists focus on developing eBPF programs to enhance Linux system capabilities, while Linux Kernel Developers work on core kernel code. Both roles require strong C skills and Linux knowledge but differ in scope and focus.

What is an eBPF Linux engineer?

An eBPF Linux engineer is a software professional who specializes in working with eBPF (extended Berkeley Packet Filter) technology on the Linux operating system. eBPF allows for the execution of sandboxed programs in the Linux kernel, enabling advanced networking, security, and observability features without modifying kernel source code. Engineers in this role typically develop, optimize, and troubleshoot eBPF programs for use cases such as network monitoring, performance analysis, and security enforcement. They need a strong understanding of Linux internals, networking, and programming in C and sometimes Rust or Go. eBPF Linux engineers are increasingly in demand due to the growing use of cloud-native and containerized environments.

What are some common challenges faced when developing with eBPF on Linux systems?

Developing with eBPF on Linux often involves navigating kernel version compatibility, as eBPF features evolve rapidly and may not be available on older kernels. Debugging eBPF programs can also be challenging due to strict verifier constraints and limited debugging tools. Additionally, integrating eBPF with existing monitoring or networking solutions requires a solid understanding of both kernel space and user space interactions. Collaborating with platform engineers and security teams is common, as eBPF programs frequently impact system performance and security.
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Ebpf Linux jobs near you
Infographic showing various Ebpf Linux job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 1% Part Time, and 10% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $115,062 per year, or $55.3 per hour.

Senior Linux Kernel Systems Software Engineer - CSP Engagements

NVIDIA AI

Seattle, WA • On-site

Full-time

Re-posted yesterday

Job description

Job Summary:
NVIDIA AI is seeking a Senior Software Engineer to join their CSP Engagements team, focusing on system software for Datacenter products. The role involves designing and developing software solutions for data center servers, collaborating with Cloud Service Providers, and performing advanced system debugging and performance optimization.
Responsibilities:
• Design and develop software solutions for data center servers including Linux kernel modifications, device drivers, and system optimizations for GB200 and next-gen platforms.
• Lead hardware bring-up activities, BSP development, and hardware-software co-design for Cloud Service Provider deployments.
• Partner directly with CSPs to deliver technical solutions, co-develop & co-debug features and optimizations, and provide support during new product introductions.
• Collaborate with cross-functional teams in designing end-to-end solutions spanning firmware, OS, middleware, and applications with focus on AI/ML and HPC workloads.
• Perform advanced system debugging, root cause analysis, and performance optimization for large-scale data center environments.
• Collaborate with AE, FAE, and Solution Architect teams to deliver integrated customer solutions and technical documentation.
Qualifications:
Required:
• Deep expertise in data center server architectures, HPC systems, and hardware-software co-design.
• Expert knowledge of Linux kernel internals, device drivers, communication protocols (PCIe, USB, Ethernet).
• Deep understanding of computer architecture, microprocessor concepts, and expert knowledge of ARM (aarch64) and x86 architectures.
• Ability to debug kernel crash dumps and all types of lock-up issues. Hands-on experience with GDB, kdump, and eBPF tracing to debug multiprocessor systems. Good understanding of ARM and Intel assembly.
• Strong understanding of PCIe virtualization and IOMMU.
• Deep understanding of NUMA architectures including memory topology, processor-memory locality, and performance optimization for multi-CPU systems in data center environments.
• Strong programming skills in C/C++, Python, plus experience with virtualization, Kubernetes, and cloud-native architectures.
• Skilled in complex system-level debugging, performance analysis, and test design.
• BS or MS in Computer Engineering, Computer Science, or related field (or equivalent experience). 10+ years of system software development experience.
Preferred:
• Experience with GPU computing (CUDA), deep learning workloads.
• Expertise in Out of Band and In-band management architectures.
• Knowledge of Memory fabric and CXL architectures.
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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