Systems Software Engineer

Reposted 12 Days Ago
Be an Early Applicant
Los Altos, CA, USA
In-Office
Mid level
Software
The Role
Design, develop, and optimize embedded software for AI-enabled devices. Integrate AI algorithms with hardware, improve system performance, validate and test AI features, document designs, maintain version control, and support deployment and troubleshooting of embedded AI systems.
Summary Generated by Built In
Description

About Majestic Labs

We’re a fast-moving, US-Israeli AI startup building next-generation infrastructure for the world’s most demanding AI workloads. Our mission is to accelerate the future of intelligence and make it ubiquitously accessible by delivering full stack custom AI servers optimized for large-scale inference and training.

Backed by top-tier investors and led by industry veterans, we’re scaling rapidly. We seek forward-thinking engineers and operators who thrive in a collaborative environment and excel at solving complex challenges from first principles. If you want to build infrastructure that fundamentally changes what the world can accomplish with AI, come join us!

About the position

We’re looking for a systems software engineer to work on the lowest layers of that stack: the runtime, firmware, and device software that sit between high-level AI workloads and custom accelerator hardware. You’ll help build the software responsible for device bring-up, kernel dispatch, memory mapping, queueing, synchronization, performance monitoring, and debug infrastructure.

This is not a conventional embedded firmware role. The work spans firmware, operating-system interfaces, simulator bring-up, accelerator runtime design, hardware/software contracts, and performance-critical execution paths.

Responsibilities

  • Own critical boot and runtime contracts: firmware image layout, configuration, core release, liveness detection, shared queues, command/completion formats, memory mappings, and versioned ABIs.
  • Build and optimize low-latency communication paths between host runtime software and accelerator cores, including submission/completion queues, doorbells, interrupts, polling paths, and synchronization mechanisms.
  • Work with custom processor cores, multi-core coordination, traps/exceptions, page tables, protection mechanisms, MMIO, DMA, and accelerator memory hierarchies.
  • Develop observability and debug infrastructure for a complex distributed accelerator system, including boot metrics, hardware counters, trace capture, performance monitoring, debug paths, and failure diagnosis for hung or slow jobs.
  • Help shape the production device software architecture: the boundary between kernel-mode components, userspace runtime libraries, simulator backends, and hardware-native backends.
  • Collaborate closely with hardware architects, compiler/runtime engineers, kernel developers, and performance engineers to define the software/hardware contracts for future chips.
  • Debug issues that cross abstraction layers: AI graph execution, runtime scheduling, device queues, firmware, memory translation, interrupts, simulator behavior, and hardware state.
Requirements
  • 5+ years of experience building low-level systems software, firmware, runtimes, operating systems, device drivers, or accelerator software.
  • Strong C programming skills and comfort reading or writing assembly where needed.
  • Deep understanding of computer architecture fundamentals: CPU privilege modes, virtual memory, interrupts, atomics, caches, memory ordering, MMIO, DMA, and performance counters.
  • Experience with one or more of: processor firmware, ARM or RISC-V systems software, Linux kernel drivers, bare-metal firmware, bootloaders, hypervisors, RTOS internals, or accelerator runtimes.
  • Ability to design and maintain stable binary interfaces and versioned contracts between independently evolving software components.
  • Strong debugging instincts across hardware/software boundaries, including cases where the only available evidence is a memory dump, trace buffer, hardware counter, queue state, or simulator log.
  • Comfortable working in a fast-moving environment where simulators, firmware, drivers, runtime libraries, and hardware specs are evolving together.
  • Excellent communication skills and the ability to collaborate across hardware, compiler, runtime, and product teams.

Preferred Qualifications

  • Experience with custom accelerators, GPUs, NPUs, SmartNICs, DPUs, or other complex SoCs.
  • Low-level firmware experience, especially privilege modes, control/status registers, traps, memory protection, virtual memory, multi-core boot, or hardware debug support.
  • Linux driver or userspace driver/runtime experience, including ioctl/mmap APIs, DMA, IRQ handling, polling vs interrupt tradeoffs, and zero-copy paths.
  • Experience with hardware trace and performance infrastructure such as ARM CoreSight, ETM/ETF/ETR, ATB funnels, hardware PMUs, trace encoders, or similar SoC observability systems.
  • Experience designing queue protocols, command buffers, completion queues, doorbells, synchronization objects, or low-latency producer/consumer systems.
  • Experience with simulator and silicon bring-up: QEMU, virtual platforms, SystemC, RTL simulation, FPGA/prototyping, or first-silicon debug.
  • Experience with modern build systems such Bazel, cross-compilation, freestanding toolchains, linker scripts, and hermetic build systems in general.

At Majestic Labs, we are shaping the next paradigm and making AI ubiquitous by building radically better infrastructure across the entire stack-from systems engineering and VLSI to compilers and AI applications. This epic mission requires a relentless culture of innovation, grit, and dedication. Our employees are our most important asset.

Have you read the job description and feel you could be a great fit?

We seek smart, curious, self-driven individuals who enjoy creative problem-solving and continuous learning. Even if you don't meet all requirements, we'd love to hear from you if you have the mindset to tackle complex challenges.

Majestic Labs is an equal opportunity employer deeply committed to diversity of background and thought. If you are ready to dare greatly, learn from mistakes, engage in vigorous debates, and help create a step-function shift in human technical capability-we want to meet you!

Skills Required

  • Bachelor's degree in Computer Science, Electrical Engineering, or a related field
  • Minimum of 3 years of experience in embedded systems development
  • Proficiency in C/C++
  • Proficiency in Python
  • Experience with AI frameworks such as TensorFlow or PyTorch
  • Strong understanding of microcontrollers
  • Strong understanding of real-time operating systems
  • Familiarity with version control systems such as Git
  • Excellent problem-solving and communication skills
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The Company
55 Employees
Year Founded: 2023

What We Do

Majestic Labs is reimagining AI infrastructure for the world’s most demanding workloads. Today, organizations are forced to overprovision expensive compute just to access the required memory their models need. We took a fundamentally different approach by pairing a massive amount of compute with 1000x the memory to create game changing improvements in performance, power and deployment efficiency. Our customers can literally replace racks of traditional AI infrastructure with a single Majestic server.

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