Technical Program Manager - Embedded Software

Posted Yesterday
Hiring Remotely in US
Remote
200K-250K Annually
Senior level
Artificial Intelligence • Hardware • Software
The Role
Own end-to-end embedded software program execution across firmware, drivers, bootloaders, hardware, architecture, compiler, runtime, and validation teams. Align software milestones with tape-out, silicon and board bring-up, validation, and customer delivery. Identify and resolve cross-team risks, manage schedules and operating cadence, support platform enablement, and coordinate distributed engineering teams and external partners for AI accelerator deployments.
Summary Generated by Built In

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

affecting driver behavior, toolchain dependencies, host OS/driver compatibility).

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,

Palladium.

Strong understanding of areas such as:

o Embedded firmware

o Device drivers

o SoC/accelerator architecture

o Memory and DMA

o Interrupts and command queues

o Boot and initialization

o Hardware/software interfaces

o 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

architectures.

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.

Skills Required

  • 8+ years of technical program or project management experience
  • Meaningful experience with embedded software, drivers, firmware, or low-level systems software
  • Experience coordinating software programs tightly coupled to hardware, including silicon or board bring-up
  • Background in Linux kernel driver development processes, JTAG or lab-based debugging, or hardware validation methodologies
  • Experience with FPGA simulation and emulator environments such as Zebu, Veloce, or Palladium
  • Strong understanding of embedded firmware, device drivers, SoC or accelerator architecture, memory and DMA, interrupts, command queues, boot, initialization, hardware/software interfaces, performance, and system-level debugging
  • Experience managing complex, multi-team schedules with external dependencies
  • Strong risk management, written communication, and verbal communication skills
  • Experience with AI accelerators, GPUs, NPUs, DSPs, or heterogeneous compute architectures
  • 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 or emulation environments for pre-silicon software development
  • Experience with Linux kernel, embedded Linux, RTOS, or low-level systems software
  • Experience managing external engineering partners or vendors
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The Company
HQ: Santa Clara, CA
31 Employees
Year Founded: 2022

What We Do

EnCharge AI is a leader in advanced AI hardware and software systems for edge computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems.

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