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Rust Linux Kernel Jobs in Missouri (NOW HIRING)

Experience programming on embedded ARM cores supporting SoC architectures in Linux, RTOS, or bare ... Experience with kernel development using Yocto. * Knowledge of dynamics and control systems. * Able ...

A systems language -- Rust, Go, or C/C++ -- plus Python * Linux internals and the kernel/userspace boundary * eBPF, sandboxing, or other OS-level instrumentation and isolation * High-throughput data ...

Experience with C/C++/Rust and system level environments * Strong experience with Python ... Experience with Linux operating systems and kernel fundamentals A Final Note At Mytra, we build ...

Rust Linux Kernel information

What is a Rust Linux Kernel developer?

Rust Linux Kernel developers are software engineers who contribute to the Linux kernel using the Rust programming language. They focus on writing new kernel modules or components in Rust, aiming to improve safety, security, and maintainability compared to traditional C code. These developers typically have a deep understanding of both systems programming and the Linux kernel architecture. Their work is part of an ongoing effort to gradually integrate Rust into the kernel alongside existing C code.

What are the key skills and qualifications needed to thrive as a Rust Linux Kernel developer?

To thrive as a Rust Linux Kernel Developer, you need deep knowledge of systems programming, strong proficiency in Rust and C, and experience with Linux kernel internals. Familiarity with build systems (e.g., Make), version control (Git), and relevant certifications such as Linux Foundation Certified Engineer are typically valuable. Excellent problem-solving skills, attention to detail, and effective collaboration are essential soft skills in this role. These abilities ensure robust, secure, and maintainable kernel contributions while facilitating smooth teamwork in complex open-source environments.

What are some common challenges faced when working on Rust integration within the Linux kernel, and how do teams typically address them?

A frequent challenge in this role is bridging the gap between Rust and the existing C-based Linux kernel codebase. This includes ensuring memory safety, managing interoperability between the two languages, and adhering to strict kernel coding standards. Teams often address these challenges through extensive code reviews, collaborative discussions on kernel mailing lists, and by actively participating in the upstream kernel and Rust-for-Linux communities. Continuous learning and communication are essential, as both the Rust integration and kernel development methodologies are rapidly evolving.

What is the difference between Rust Linux Kernel vs C Linux Kernel Developer?

AspectRust Linux KernelC Linux Kernel Developer
Required CredentialsKnowledge of Rust programming, Linux kernel basicsProficiency in C, Linux kernel development experience
Work EnvironmentContributing to Linux kernel modules using Rust, Linux environmentDeveloping and maintaining Linux kernel code in C
Industry UsageEmerging in kernel development, experimental projectsStandard in Linux kernel development
Common Search/ComparisonOften compared for language choice in kernel modulesTraditional role, baseline for kernel development

The main difference between a Rust Linux Kernel developer and a C Linux Kernel Developer lies in the programming language used. Rust developers focus on leveraging Rust's safety features for kernel modules, while C developers work with the traditional C language. Both roles require Linux kernel knowledge, but Rust is newer and less widespread in kernel development, making it an emerging area compared to the well-established C role.

What are popular job titles related to Rust Linux Kernel jobs in Missouri?

For Rust Linux Kernel jobs in Missouri, the most frequently searched job titles are:

What cities in Missouri are hiring for Rust Linux Kernel jobs?

Cities in Missouri with the most Rust Linux Kernel job openings:

Senior Linux Systems Engineer: Virtualization for AI

Jobtailor

California, MO • On-site

$150 - $210/hr

Other

Posted 4 days ago


Job description

  • Design secure execution environments using containerd, runc, gVisor, Kata Containers, KubeVirt, and KVM/QEMU.
  • Build GPU‑aware runtime infrastructure supporting VFIO, Kata, NVIDIA GPU Operator, and PCIe passthrough for multi‑tenant AI workloads.
  • Improve Linux kernel and hypervisor performance through optimization of scheduling, memory management, I/O, NUMA locality, and virtualization primitives.
  • Debug complex interactions across Linux, KVM, GPU drivers, firmware, and Kubernetes when workloads don't behave as expected.
  • Develop observability and debugging tooling using eBPF, perf, tracepoints, and kernel tracing infrastructure.
  • Improve container and VM startup performance, resource isolation, and runtime efficiency for latency‑sensitive AI inference and training workloads.
  • Extend virtualization infrastructure supporting virtio devices, IOMMU, SR‑IOV, mediated devices, nested virtualization, and hardware passthrough.
  • Profile production systems and build performance analysis tooling to identify bottlenecks across kernels, hypervisors, container runtimes, storage, networking, and GPUs.
  • Collaborate with security, platform, networking, and GPU infrastructure teams to define the next generation of runtime isolation and workload execution.
Requirements
  • 5+ years building production systems software, platform infrastructure, virtualization, or Linux‑based distributed systems.
  • Strong Linux systems knowledge, including namespaces, cgroups, scheduling, memory management, filesystems, networking, and process lifecycle.
  • Experience with virtualization technologies such as KVM, QEMU, VFIO, virtio, Kata Containers, KubeVirt, Firecracker, or gVisor.
  • Experience building or operating Kubernetes platforms and container runtimes at scale.
  • Strong systems programming skills in Go, Rust, C/C++, or a combination thereof.
  • Comfortable debugging production failures that span hardware, operating systems, container runtimes, virtualization, and distributed infrastructure.
  • Experience profiling and optimizing system performance using tools such as perf, eBPF, ftrace, bpftrace, flame graphs, or crash analysis.
Core Competencies

Demonstrates expertise in building and optimizing production systems software and virtualization infrastructure, with a strong focus on Linux systems, container runtimes, and performance analysis. Proficient in debugging complex interactions across hardware and software layers to ensure efficient and secure execution environments.

Highest‑signal resume keywords
  • Linux Systems Knowledge
  • Virtualization Technologies (KVM, QEMU, Kata Containers)
  • Systems Programming (Go, Rust, C/C++)
  • Performance Profiling and Optimization
  • Kubernetes Platform Experience
ATS Optimization Keywords Hard Skills
  • Linux Kernel Optimization
  • Containerd
  • GVisor
  • KubeVirt
  • GPU‑Aware Runtime Infrastructure
  • EBPF
  • VFIO
  • PCIe Passthrough
  • Debugging Complex Interactions
  • Performance Analysis Tooling
Soft Skills
  • Collaboration
  • Problem‑Solving
Industry Keywords
  • Distributed Systems
  • Virtualization Primitives
  • Resource Isolation
  • Latency‑Sensitive Workloads
  • Multi‑Tenant AI Workloads
Tools & Technologies
  • NVIDIA GPU Operator
  • KVM/QEMU
  • Flame Graphs
  • Crash Analysis
  • Ftrace
  • Bpftrace
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