MakerMaker: Autonomous research agents for recursive self-improvement
4+ YOE4+ years GPU kernel development; hardware-level fluency; profiling; Python/C++ reading; track record of kernel-level optimizations; strong systems know-how.
TypeSafe AI: Building reliable, general frontier AI models for automation.
Deep CUDA/GPU kernel expertise, experience building and optimizing training and inference kernels, LLM training experience, profiling and eliminating performance bottlenecks.
Atlanta or Boston or Chicago or Denver or Los Angeles or New York City or San Francisco or Austin
$172k-$190k/yrRemoteFull Time
Flock Safety: Sells AI-powered cameras and software for public safety surveillance.
8+ YOE8+ years experience in embedded/kernel engineering, mastery of C/C++, Linux/Android kernel and chipset bring-up, bootloader and driver development, firmware debugging, and experience with large fleets of connected devices.
Member of Technical Staff - Low Level & Kernels Capabilities
San Francisco or Toronto or Seattle
$200k-$350k/yrOnsiteFull Time
Preference Model: Building reinforcement learning environments to train frontier AI models.
Experienced low-level systems engineer fluent in C/C++/CUDA and Python, kernel and kernel-optimization experience, hardware-aware coding, familiarity with LLMs, and ability to design robust, ungameable RL environments.
Nimble: Building autonomous robotic systems for supply chain fulfillment.
3+ YOE3+ years professional software engineering experience; proficiency in Rust, C, or C++; Linux kernel development, board bring-up, bootloader/uboot/EDK2/UEFI experience, networking knowledge, and strong communication and mentoring skills.
Microchip TechnologyNasdaq: MCHP: Manufacturer of microcontrollers, analog, and mixed-signal integrated circuits.
15+ YOE15+ years developing embedded platform software; strong Linux kernel and driver experience, U-Boot and bootloader work, ARM board bring-up, networking protocols, proficient in C and shell scripting, strong debugging skills.
Crusoe: Provides energy-efficient cloud infrastructure powered by stranded and renewable energy.
8+ YOE8+ years in compute SRE or Linux system engineering; deep Linux kernel and virtualization knowledge; experience with KVM/QEMU/Xen/VMware; Go/C/Rust proficiency; system-level debugging and CI/CD for bare-metal/cloud.
Mirendil: Developing frontier artificial intelligence models to accelerate scientific research.
Design and optimize performant ML kernels, reduce memory bandwidth bottlenecks, enable low-precision formats, and contribute to compiler/runtime stacks; deep hardware-software expertise required.
Radical Numerics: Building general biological intelligence models for scientific discovery.
Deep expertise in large-model inference, GPU performance engineering, kernel development (CUDA/Triton), Python and PyTorch, distributed systems, and production model deployment.
Fluidstack: Provides high-performance cloud GPU infrastructure for AI development.
Experience building production infrastructure automation in Go or Python, bare-metal provisioning, deep Linux/kernel/network debugging, and automating provisioning and lifecycle management for GPU fleets.
Upwind Security: Provides a runtime-first cloud security platform for infrastructure protection.
3+ YOEBachelor's in CS or related, 3+ years systems programming (C/C++/C#), Windows kernel driver and Windows security module experience, familiarity with Windows internals, networking, and file systems.
Black Forest Labs: Develops generative AI models for image and video creation.
Deep experience with large-scale training systems, PyTorch, distributed training, GPU profiling and performance, low-precision/quantization work, kernel-level optimizations, and debugging distributed training failures.
Anthropic: Developing safe and reliable artificial intelligence systems.
Deep Linux internals and kernel security knowledge, C and systems programming, eBPF experience, familiarity with SELinux/AppArmor/seccomp, track record fixing OS-level vulnerabilities; bachelor's degree or equivalent.
E2B: Open-source cloud infrastructure for running autonomous AI agents.
5+ YOE5+ years building distributed systems; deep Linux/kernel and VM hypervisor expertise; systems programming in Go/Rust/C/C++; production orchestration (Kubernetes/Nomad); networking and performance optimization experience.