EnCharge AI Logo

EnCharge AI

Technical Program Manager - Embedded Software

Posted One Month Ago
Remote
Hiring Remotely in US
200K-250K Annually
Senior level
Remote
Hiring Remotely in US
200K-250K Annually
Senior level
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.
The summary above was generated by AI

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.

Similar Jobs

12 Minutes Ago
Remote or Hybrid
45K-85K Annually
Junior
45K-85K Annually
Junior
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handles inbound calls and warm leads, consults customers on insurance needs, recommends appropriate property and casualty coverage, and converts prospects into policyholders. The role includes paid licensing and sales training, customer communication, persuasion, lead conversion, and adherence to remote-work and scheduling requirements.
Top Skills: Cable/Fiber/Dsl InternetPcWired High-Speed Internet
An Hour Ago
Remote or Hybrid
88K-118K Annually
Senior level
88K-118K Annually
Senior level
Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
The Senior Consultant develops and implements business process and technology solutions for clients, provides training, and manages project risks and deliverables while mentoring junior consultants.
Top Skills: Active DirectoryAzure
An Hour Ago
Remote or Hybrid
United States
88K-132K Annually
Senior level
88K-132K Annually
Senior level
Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Leads business and technical requirements analysis, business case development, process improvement, solution design, testing, implementation, and post-deployment optimization for Workday ERP systems. Partners with business leaders, architects, QA, IT, vendors, and project teams to deliver scalable solutions. Facilitates large-group meetings, mentors analysts, assesses system changes, and recommends continuous improvements across Workday modules.
Top Skills: Enterprise Resource Planning (Erp)System Lifecycle ManagementWorkday Adaptive PlanningWorkday ErpWorkday FinancialsWorkday PsaWorkday Time And Expense

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account