--- title: 'Technical Program Manager - Embedded Software at EnCharge AI' canonical: 'https://feeny.ai/job/technical-program-manager-embedded-software-encharge-ai-united-states-w18v49ve3s0r' type: 'job' last_seen: '2026-09-05' --- # Technical Program Manager - Embedded Software at EnCharge AI - **Company:** EnCharge AI - **Location:** United States - **Work type:** remote - **Posted:** 2026-08-20 - **Last confirmed live:** 2026-09-05 - **Apply:** https://job-boards.greenhouse.io/enchargeai36/jobs/4376670009 ## Job description 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. ## About EnCharge AI ## Company Overview - **One-liner**: EnCharge AI develops analog in-memory computing hardware and software to deliver high-efficiency, low-cost AI inference from edge devices to cloud data centers. - **Entity Type**: Private (Series B – II stage) - **Headquarters**: Santa Clara, California, United States - **Founded**: 2022 - **Founders**: Naveen Verma, Ph.D. (CEO) and Kailash Gopalakrishnan, Ph.D. (CTO) ## Core Business - **Primary industry**: AI semiconductor hardware and embedded software products - **Target customers**: B2B – enterprises deploying AI at scale, edge-device manufacturers, cloud service providers, and defense/industrial sectors - **Mission**: Democratize advanced AI by enabling deployment beyond cloud infrastructure to local servers and mobile devices, while slashing costs and environmental impact ## Products & Services - **Analog In-Memory Computing GPUs & Digital AI Accelerators**: Custom silicon (chiplets, ASICs) and standard-form-factor PCIe cards that perform AI inference using analog computation for orders-of-magnitude better energy efficiency and compute density. - **Software Stack**: Seamless orchestration layer that supports on-device and cloud deployment, enabling model portability, quantization, and compiler optimizations across EnCharge’s hardware. - **Edge-to-Cloud Platforms**: Integrated solutions for power-, space-, and cost-constrained environments, covering autonomous systems, smart devices, data center inference, and private on-premise AI. ## Market Standing - **Valuation / Market Cap**: Not publicly disclosed - **Key Metrics**: Annual Revenue ~$10M (LinkedIn estimate) | Total Funding $162.9M - **Notable Investors & Partners**: Tiger Global Management (led $100M Series B, Mar 2025), Anzu Partners (led $21.7M Series A, Dec 2022), DARPA ($18.6M grant, Mar 2024), and others including corporate/institutional backers. - **Growth Signals**: - 58.6% YoY headcount growth (75 employees, as of mid-2025) - 39 active job openings spanning hardware, compiler, and AI architecture roles - 150+ patents granted, 300+ technical publications - Talent inflows from Intel, IBM, Cerebras, AMD, Meta, Microsoft ## Competitive Advantages - **Analog In-Memory Computing Moa**t: A proprietary compute architecture that uses charge-domain analog circuits, validated silicon, and leverages existing semiconductor supply chains. - **Record Efficiency**: Claims 20× higher TOPS/W, 9× higher compute density (TOPS/mm²), 10× lower total cost of ownership, and 100× lower CO₂ emissions compared to leading cloud/GPU alternatives. - **Deep IP Portfolio**: 150+ granted patents and 300+ publications from 20+ years of foundational research by the founding team (Princeton, IBM, etc.). - **End-to-End Solution**: Full-stack hardware and software (compiler, quantization, runtime) designed for seamless edge-to-cloud orchestration without vendor lock-in. ## Strategic Focus - Scale production and customer deployments of their analog in-memory compute chips for high-volume edge and data center inference. - Expand software ecosystem to support mainstream AI frameworks (PyTorch, TensorFlow, ONNX) and enable easy drop-in replacement for existing GPU-accelerated workloads. - Deepen partnerships with defense (DARPA) and enterprise cloud providers, emphasizing data privacy, security, and sustainability. - Double down on sustainability messaging (100× lower CO₂) to meet ESG mandates in enterprise AI procurement. ## Why Work Here - **Mission-Driven Impact**: Opportunity to make AI accessible to the “99%” by dramatically reducing energy and cost barriers. Work is cited as a “once-in-a-lifetime” chance by leadership. - **World-Class Team**: Colleagues include industry luminaries from Princeton, IBM, and top semiconductor houses; 57% of staff are in technical roles (engineering, research, compiler). - **Culture of Collaboration & Innovation**: The careers page highlights integrity, growth, and collaborative problem-solving in a fast-paced startup environment. - **Comprehensive Rewards**: Benefits package includes typical startup perks; equity likely offered given funding stage. - **Work Policy**: Hybrid presence indicated by offices in Santa Clara, Canada, Germany, Norway, South Korea, and India. Remote flexibility likely for some roles. - **Active Hiring**: 39 open positions across DFT, physical design, compiler engineering, and NPU architecture – strong signal of scaling and technical investment. ## Sources 1. [EnCharge AI Official Website](https://www.enchargeai.com/) 2. [EnCharge AI Careers Page](https://www.enchargeai.com/careers) 3. [EnCharge AI About Us (Leadership & Founders)](https://www.enchargeai.com/about-us) 4. [EnCharge AI LinkedIn Company Page](https://www.linkedin.com/company/encharge-ai) 5. [CB Insights Profile – EnCharge AI](https://www.cbinsights.com/company/encharge-ai) ## Other roles at EnCharge AI - [Principal Solutions Engineer](https://feeny.ai/job/principal-solutions-engineer-encharge-ai-united-states-vgghgxj68g9h) — United States - [Lead DFT Engineer](https://feeny.ai/job/lead-dft-engineer-encharge-ai-canada-united-states-q4ggksnf4q7g) — Canada / United States - [Senior PD Engineer: Synthesis & STA](https://feeny.ai/job/senior-pd-engineer-synthesis-sta-encharge-ai-bengaluru-wfbtaq6984et) — Bengaluru, India - [Senior Staff / Principal SOC Floorplan Lead](https://feeny.ai/job/senior-staff-principal-soc-floorplan-lead-encharge-ai-bengaluru-5rjzbdmx1e0r) — Bengaluru, India - [Staff Engineer: STA Methodology & Sign-off Lead](https://feeny.ai/job/staff-engineer-sta-methodology-sign-off-lead-encharge-ai-bengaluru-dnr9280vbw00) — Bengaluru, India - [Principal SOC Physical Verification & Integration Specialist](https://feeny.ai/job/principal-soc-physical-verification-integration-specialist-encharge-ai-bengaluru-z28meksf9r5v) — Bengaluru, India - [Staff / Senior Staff CAD & Methodology Engineer (Digital Implementation & Signoff)](https://feeny.ai/job/staff-senior-staff-cad-methodology-engineer-digital-implementation-signoff-bbfjk21sk0rk) — Bengaluru, India - [Research Engineer, AI Models](https://feeny.ai/job/research-engineer-ai-models-encharge-ai-germany-5kv1pnxdmybd) — Germany - [Research Engineer, AI Models](https://feeny.ai/job/research-engineer-ai-models-encharge-ai-india-s35hk7vzfyr3) — India - [AI Compiler Engineer](https://feeny.ai/job/ai-compiler-engineer-encharge-ai-united-states-canada-germany-norway-qxpwrahb89wk) — United States / Canada / Germany / Norway