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SoC Firmware Engineering Manager, Annapurna Labs Machine Learning Acceleration, AWS

Amazon

SoC Firmware Engineering Manager, Annapurna Labs Machine Learning Acceleration, AWS

Amazon

Cupertino, CA, USA

·

On-site

·

Full-time

·

2w ago

When a new Trainium or Inferentia chip comes back from the fab, our code is the first software to touch it. We're looking for a hands-on engineering manager who lives and breathes low-level software — someone who's debugged register-level issues at 3am and wants to build a team that does it better.

Our SoC HAL (Hardware Abstraction Layer) team owns the lowest layer of user-space software on AWS's custom ML accelerator chips: the firmware that boots, configures, and manages every hardware block on the SoC. Your software runs as a shared library on embedded Linux, reaching into the chip to program PCIe links, initialize HBM controllers, configure PLLs, manage interrupt controllers, and orchestrate fabric interconnects across 270+ hardware block instances per chip — all deployed across millions of servers in AWS's global fleet.

Tech stack: C++17, CMake, Google Test, Python, System Verilog DPI, SPI, APB/AXI bus protocols, PCIe, UCIe, HBM, PLL, custom IPs

As the SoC Firmware Manager, you will:

  • Manage, coach, and grow a team of 6 engineers — set technical direction, own hiring, and create an environment where strong engineers want to stay
  • Coordinate deliverables across chip architects, RTL designers, verification engineers, validation engineers, and platform software teams — you're the single point of accountability for HAL readiness on every new chip program
  • Own bring-up for new SoC tape-outs, from first-silicon power-on through production fleet deployment
  • Prioritize work across multiple concurrent chip programs and customer teams, balancing urgent bring-up needs against long-term architecture investments
  • Drive the architecture of our C++ template metaprogramming framework, BUTR (Built-in Unit Test for Registers), and HITL (Hardware-in-the-Loop) test infrastructure
  • Ship the same C++ codebase to three execution environments: System Verilog DPI for chip verification, QEMU for emulation, and Carbon OS on embedded microcontrollers for production fleet
  • Get into the weeds alongside your team — debug register-level HW/SW interactions, review code, and write code yourself when it matters

Most firmware teams target one platform and ship to a few thousand units. We target three platforms from a single source tree and deploy across AWS's global fleet — where a single register misconfiguration can impact millions of servers. Our software must be stateless, survive live-updates on running production servers without reboots, and be correct down to individual register bits. The microcontroller can reboot at any time — including during customer workloads — and the HAL must resume managing the SoC by querying hardware state on-demand. No cached state, no assumptions.

Your pre-silicon software runs in simulation and emulation months before real silicon arrives. When the chip comes back from the fab, you validate those predictions on real hardware — and when they don't match, you figure out whether it's a silicon bug or a software bug. For Trainium3, our HAL enabled a full ML training workload within 12 hours of first power-on: https://www.aboutamazon.com/news/aws/trainium-3-ultraserver-faster-ai-training-lower-cost

No ML background needed. Your firmware is the foundation that enables ML training across clusters of thousands of interconnected accelerators — you'll work on components like PCIe and HBM, but won't need to understand ML itself.

This role can be based in Cupertino, CA or Austin, TX. The team is split between the two sites.

Basic Qualifications

  • 3+ years of engineering team management experience
  • 7+ years of professional software development in C or C++, including embedded, firmware, or systems-level development
  • 4+ years of designing or architecting software systems (abstraction layers, hardware/software interfaces)
  • Experience developing software that interfaces directly with hardware: SoC, ASIC, FPGA, or embedded microcontrollers
  • Experience with register-level programming and hardware debug (waveform analysis, bus-level tracing, or similar)

Preferred Qualifications

  • Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
  • Experience with silicon bring-up or pre/post-silicon software validation
  • Experience shipping software across multiple target platforms (simulation, emulation, production hardware)
  • Familiarity with bus protocols (APB, AXI, PCIe) or memory subsystems (HBM, DDR)
  • Experience with C++ template metaprogramming or code generation frameworks
  • Experience building or maintaining hardware abstraction layers or board support packages

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, CA, Cupertino - 212,700.00 - 287,700.00 USD annually
USA, TX, Austin - 184,900.00 - 250,200.00 USD annually

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关于Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

员工数

Seattle

总部位置

$1.5T

企业估值

评价

2.9

10条评价

工作生活平衡

2.8

薪酬

3.7

企业文化

2.5

职业发展

2.3

管理层

2.1

35%

推荐给朋友

优点

Good pay and compensation

Strong benefits package

Flexible scheduling options

缺点

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

薪资范围

4个数据点

Junior/L3

L2

L3

L4

L5

L6

M3

M4

M5

M6

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L4

0份报告

$181,968

年薪总额

基本工资

-

股票

-

奖金

-

$154,672

$209,264

面试经验

10次面试

难度

3.7

/ 5

时长

21-35周

录用率

20%

体验

正面 10%

中性 10%

负面 80%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge