Senior Software Engineer - Kernel/Security

Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide.

If you'd like to build the world's best deep learning cloud, join us. 

*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.

What you’ll Do

• Join a team of industry-leading experts and work alongside the best minds in the field

• Collaborate with top-tier professionals who are shaping the future of the industry

• Design and build foundational Linux security features and infrastructure that protect AI/ML workloads running across thousands of GPUs on modern cloud platforms

• Develop security capabilities for containerized and virtualized environments, including secure boot, system hardening, kernel integrity monitoring, and isolation technologies

You

• Linux Security Expertise – 8+ years of experience with Linux-based production systems, with a strong focus on security at the OS and kernel level (e.g., SELinux, AppArmor, seccomp, namespaces, cgroups, integrity measurement, and TPM).

• Kernel & Hardening – Deep understanding of Linux kernel internals and experience securing kernel subsystems (e.g., syscall filtering, LSMs, audit frameworks, eBPF for security observability).

• Cloud & Infrastructure Security – Experience building or securing core cloud infrastructure (e.g., secure virtualization/KVM/QEMU, hardened images, secure boot, confidential computing, software-defined perimeter, network segmentation, firewalling, identity and access management).

• Security Architecture – Ability to design and implement end-to-end security architectures for large-scale, distributed systems. Familiarity with threat modeling, risk analysis, and mitigation planning for both x86_64 and aarch64 platforms.

• Programming Languages – Strong background in C with experience writing secure, high-performance code. Familiarity with Rust, Python, and Go is a plus. Strong track record of delivering security-critical systems from concept to production.

• Education – Background in computer science, cybersecurity, electrical engineering, or a related field.

You will be successful in this role if you have

• Have led and taken full ownership over large, ambiguous, cross team projects from conception to production

• Enjoy moving fast and making a large business impact

• Value working on a team of high performers that hold each other accountable

• Are a self-starter, curious, and not afraid to ask when in doubt

• Are a quick learner, enjoy learning new technologies and methodologies

• Value working on a low ego team that emphasizes strong communication, collaboration, and getting to the right answer as a team

• Care deeply about well-tested code

Salary Range Information

Based on market data and other factors, the salary range for this position is $255,000-$405,000. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

• Founded in 2012, ~350 employees (2024) and growing fast

• We offer generous cash & equity compensation

• Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.

• We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability

• Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG

• Health, dental, and vision coverage for you and your