Lyte · 11 hours ago
Embedded Software Tools Engineer
Lyte AI builds perception systems for Physical AI operating in complex environments. The Senior Embedded Software Tools Engineer will design, build, and maintain software tools for efficient development and deployment of embedded systems, collaborating with various engineering teams to enhance productivity and system reliability.
Artificial Intelligence (AI)ComplianceFinTechQuantum ComputingReal TimeRobotics
Responsibilities
Design, develop, and maintain embedded software development and test tools used across the organization
Build tooling to support:
Chip, SoC, and board bring-up
Firmware and driver development
Characterization of RTOS- and Linux-based embedded systems
Develop tools for flashing, provisioning, configuration, calibration, and recovery of embedded devices
Create debugging, tracing, and diagnostics tools that interface with:
JTAG/SWD and other hardware debug interfaces
Target-side firmware, bootloaders, kernels, and drivers
Build automation for:
Build, test, and deployment pipelines
Hardware-in-the-loop (HIL) and system-level testing
Factory and manufacturing test systems
Design and maintain tooling for factory use cases, including:
Board and system-level test automation
Production flashing and configuration
Validation, calibration, and pass/fail reporting
Develop simulation, emulation, and test harnesses to enable faster iteration without physical hardware
Integrate toolchains across heterogeneous targets (MCUs, CPUs, DSPs, NPUs, GPUs, custom ASICs)
Improve observability of embedded systems through logging, metrics, tracing, and crash analysis
Ensure tools are reliable, scalable, secure, and easy for engineers and factory operators to use
Collaborate closely with firmware, driver, hardware, test, manufacturing, and systems teams to define requirements and interfaces
Support production, manufacturing, and field-debug workflows with robust tooling and root-cause analysis
Qualification
Required
Bachelor's degree or higher in Computer Engineering, Computer Science, Electrical Engineering, or a related field
7+ years of experience developing software tools for embedded or systems environments
Strong software engineering skills in: Python, C and/or C++, Shell scripting (Bash or similar)
Solid understanding of embedded systems fundamentals: Boot flows, memory, interrupts, and concurrency, RTOS- and Linux-based embedded systems
Experience working with embedded build systems, cross-compilation toolchains, and flashing workflows
Familiarity with firmware and driver development and bring-up processes
Experience designing developer- and operator-facing tools with a focus on usability, reliability, and automation
Strong debugging and problem-solving skills across hardware and software boundaries
Ability to collaborate effectively across hardware, firmware, software, test, and manufacturing teams
Preferred
Experience with embedded Linux environments: Yocto, Buildroot, cross-compilation toolchains, Kernel build and configuration workflows
Experience with RTOS-based systems (e.g., FreeRTOS, Zephyr, QNX, ThreadX)
Familiarity with hardware debug and trace tools: JTAG/SWD, OpenOCD, GDB, Trace32, Lauterbach
Experience building HIL, SIL, and automated factory test frameworks
Experience with emulation and simulation tools (QEMU, virtual platforms)
Experience with CI/CD systems for embedded software
Experience supporting manufacturing, factory, and production test environments
Experience working across multiple processor architectures: ARM Cortex-M/R/A, DSPs, NPUs, GPUs, custom accelerators
Knowledge of CUDA and GPU programming for tooling, testing, simulation, or acceleration use cases
Background in robotics, autonomous systems, or other complex embedded products
Benefits
Competitive salary and equity
Comprehensive medical, dental, and vision coverage
401(k) retirement plan
Flexible vacation and time-off policy
Collaborative, fast-paced, and inclusive work environment
Opportunity to work on cutting-edge technologies with a highly cross-functional team
Company
Lyte
Lyte is the perception layer of Physical AI.
Funding
Current Stage
Growth StageTotal Funding
$107MKey Investors
Avigdor Willenz
2026-01-05Series Unknown· $107M
Recent News
2026-01-11
2026-01-09
2026-01-09
Company data provided by crunchbase