Technical Program Manager - Embedded Software
United States · Remote · Full-time
- Posted 1mo ago
- From EnCharge AI’s careers page
- Location
- United States
- Work mode
- Remote
- Type
- Full-time
- Level
- Senior
- Experience
- 8+ years
- Department
- Software Development
Opens the listing on job-boards.greenhouse.io
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About the role
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.
Skills they ask for
Pick one to see other roles that ask for it.
- Embedded firmware bring up
- Device driver
- Accelerator architecture
- Memory and dma
- Interrupts and command queues
- Boot and initialization
- Hardware software interfaces
- Performance and system level debugging
- Linux kernel driver development
- Jtag lab based debug workflows
- Hardware validation methodologies
- Fpga simulation and emulator environments
About EnCharge AI
AI computing from edge to cloudEnCharge AI develops AI computing technology spanning edge to cloud, including analog in-memory computing hardware and software for AI workloads.
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