Technical Program Manager - Embedded Software

Linuxconfig; Northern (KY); Hybrid; USD 200,000 - 250,000; Full time

Job summary

EnCharge AI is seeking a Technical Program Manager for Embedded Software to drive cross-functional execution across silicon, firmware, drivers, compiler, runtime, and system teams. You will own the program plan from architecture through bring-up, pre-/post-silicon validation, and deployment to surface risks before blockers arise.

In this role you will align embedded software milestones with chip tape-out, silicon bring-up, board bring-up, and customer/OEM delivery dates, leading geographically

Qualifications

• Experience leading embedded software programs with hardware coupling.
• Strong background coordinating silicon bring-up and board bring-up activities.
• Extensive Linux kernel driver experience and debugging expertise.
• Familiar with pre-silicon validation and hardware validation methodologies.

Responsibilities

• Own end-to-end program management for embedded software workstreams.
• Build and maintain integrated schedules aligning software milestones with tape-out and bring-up.
• Partner with ASIC/hardware, platform and validation teams to manage scope and dependencies.
• Identify and drive cross-team risk resolution and blockers.
• Lead front-to-back hardware-software integration, including firmware boot flows and memory management.
• Run the program cadence with planning, standups, reviews and retrospectives.
• Coordinate globally distributed teams and external partners as needed.
• Help build the program management function including tooling and reporting.

Skills

Embedded software

Firmware

Drivers

Low-level systems

Program management

Tools

JTAG debugging

FPGA simulation

Emulator environments

Linux kernel development

Job description

Technical Program Manager - Embedded Software

US Remote

EnCharge AI is building a new generation of AI compute systems designed to deliver dramatically

higher energy efficiency for AI inference. Our technology combines innovative compute

architectures with a full-stack software platform spanning silicon, firmware, drivers, compilers,

runtimes, and AI model enablement.

We are looking for a Technical Program Manager - Embedded Software to drive execution

across our embedded software organization and ensure tight alignment between firmware, drivers,

hardware, architecture, compiler, runtime, and system teams.

About the Role

As Embedded SW TPM, you will be the connective tissue between silicon, platforms and systems

teams, driving the embedded and low-level software programs that enable EN100 (and future

accelerators) to run real AI workloads reliably and efficiently. You'll own the program plan from

architecture through bring-up, pre-/post- silicon validation, and customer/OEM deployment to

surface risks before they become blockers and keeping a hardware-coupled software org moving

in lockstep with silicon milestones.

What You’ll Do

• Own end-to-end program management for embedded software workstreams: device drivers, firmware, boot-loaders and board support packages for EnCharge accelerators.
• Build and maintain integrated program schedules that align embedded software milestones with chip tape-out, silicon bring-up, board bring-up, and customer/OEM delivery dates.
• Partner closely with embedded software, ASIC/hardware, platform and validation teams to define scope, sequence dependencies, and track execution against plan.
• Identify, track, and drive resolution of cross-team risks and blockers (e.g., silicon errata
• Drive silicon bring-up and platform enablement, including early firmware, boot flows, device initialization, memory management, command submission, interrupts, power management, and hardware/software integration.
• Run the program's operating cadence: planning, standups, milestone reviews, retrospectives tuned to what a hardware-coupled software team actually needs, not generic ceremony.
• Drive execution across geographically distributed engineering teams and external partners as needed.
• Help build the program management function like process, tooling, and reporting.

What We’re Looking For

• 8+ years of technical program or project management experience, with a meaningful portion spent on embedded software, drivers, firmware, or low-level systems software.
• Direct experience coordinating software programs tightly coupled to hardware (silicon bring-up, board bring-up, or similar), ideally in AI/ML accelerators, semiconductors, robotics, or a related hardware-software domain.
• Background in Linux kernel driver development processes, JTAG/lab-based debug workflows, or hardware validation methodologies.
• Experience with FPGA simulation and emulator environments like Zebu, Veloce,
• Strong understanding of areas such as:
• Embedded firmware
• Memory and DMA
• Interrupts and command queues
• Boot and initialization
• Hardware/software interfaces
• Performance and system-level debugging
• Track record of managing complex, multi-team schedules with hard external dependencies (tape-out dates, partner deliverables, customer commitments) and keeping them honest.
• Strong risk management instincts — you find the thing that's going to break the schedule two months before it does.
• Excellent written and verbal communication; able to flex between engineering detail and executive summary.

Preferred Qualifications

• Experience with AI accelerators, GPUs, NPUs, DSPs, or other heterogeneous compute
• Experience with silicon bring-up and early hardware/software co-development.
• Experience with firmware for custom accelerators or SoCs.
• Experience working across firmware, driver, compiler, and runtime teams.
• Experience with simulation/emulation environments used for pre-silicon software development.
• Experience with Linux kernel, embedded Linux, RTOS, or low-level systems software.
• Experience managing external engineering partners or vendors.

EnCharge AI is an equal employment opportunity employer in the United States.

The salary range for this position is $200,000 to $250,000 USD per year. Actual compensation offered will be determined based on job-related knowledge, skills, and experience.