Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 2 hours agoWe saw it 41 min after it went up

Lead System Development Engineer

AMD1,257 open roles

Where
Hyderabad, India
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowLead System Development EngineerAMD · Hyderabad, India

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on AMD's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. AMD postings stay open a median of 38 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.2%30 days
This job: posted 2 hours ago

AMD median: 38 days open

The posting

ADVANCE YOUR CAREER. ADVANCE THE WORLD.

At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.

Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career.

Lead System Development Engineer

THE ROLE:

AMD is looking for a Lead System Development Engineer to join a team enabling AI inference on AMD's Versal AI Edge SoC platforms. You will work across the full vertical stack — collaborating with embedded Linux, AI runtime, hardware, and platform teams to integrate, validate, and deliver AI solutions on AMD's latest AI Edge hardware. The role spans System design, board bring-up, BSP integration, AI runtime enablement, System characterization, and application pipeline development, with a strong focus on system-level quality and customer readiness

THE PERSON:

The ideal candidate operates at the hardware-software boundary — someone who can design and implement FPGA/SoC subsystems, profile and characterize hardware designs, and debug issues that span RTL, firmware, and software layers. You are equally comfortable in a design tool analyzing timing or resource utilization as you are reading a device driver or inference runtime log. You take ownership of complex, cross-layer problems and drive them to resolution independently.

KEY RESPONSIBILITIES:

  • Design, implement, and verify FPGA/SoC subsystems for AI edge platforms, including hardware accelerator integration, IP configuration, and design bring-up
  • Profile and characterize hardware designs — timing closure, resource utilization, power analysis, and thermal behavior — and drive identified issues to resolution
  • Debug design-specific hardware issues using in-system debug tools (logic analyzers, hardware monitors, JTAG) and correlate findings across RTL, firmware, and software layers
  • Lead platforms bring-up activities for new AI edge SoC hardware, including boot flow validation, storage subsystem integration, and peripheral initialization
  • Integrate and validate AI inference runtimes and hardware accelerator stacks on embedded SoC targets, debug performance, correctness, and model deployment issues end-to-end
  • Support deep learning model compilation, quantization, and optimization workflows targeting embedded AI accelerators (NPU/DPU/spatial compute engines)
  • Develop and maintain Yocto-based embedded Linux — recipes, layers, rootfs configuration, and kernel/driver integration
  • Write tooling and automation to support hardware validation, device programming workflows, and CI/CD pipelines
  • Partner with hardware and silicon teams on system stability, power characterization, and platform validation
  • Contribute to technical documentation, release notes, and customer-facing enablement content

PREFERRED EXPERIENCE:

  • Hands-on FPGA/SoC design experience: RTL integration, IP configuration
  • Experience with FPGA design tools (Vivado or equivalent) for implementation, resource analysis, power estimation, and in-system debug
  • Proficiency with hardware profiling and characterization: performance benchmarking, power/thermal analysis, and design-specific bottleneck identification
  • Proficiency with low-level hardware debug tools: JTAG, in-system logic analyzers, hardware monitors, signal analyzers
  • Strong C/C++ development skills with emphasis on embedded and systems-level code quality
  • Experience with embedded NPU, DPU, or spatial/dataflow AI accelerators — integration, debugging, and performance tuning
  • Hands-on experience deploying AI inference frameworks on edge or embedded hardware — ONNX Runtime, TensorFlow Lite, TensorRT, or equivalent vendor-specific runtimes
  • Hands-on Yocto/Open Embedded and embedded Linux experience: BSP bring-up (bootloaders, device trees, kernel drivers), recipe authoring, layer customization, and rootfs configuration
  • Working knowledge of hardware acceleration concepts: DMA, memory-mapped I/O, PCIe, interrupt handling, shared memory buffers
  • Experience with GStreamer or comparable multimedia/dataflow pipeline frameworks for hardware-accelerated workloads is a plus

#LI-PK1

Benefits offered are described: AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.

This posting is for an existing vacancy.

Lead System Development Engineer

THE ROLE:

AMD is looking for a Lead System Development Engineer to join a team enabling AI inference on AMD's Versal AI Edge SoC platforms. You will work across the full vertical stack — collaborating with embedded Linux, AI runtime, hardware, and platform teams to integrate, validate, and deliver AI solutions on AMD's latest AI Edge hardware. The role spans System design, board bring-up, BSP integration, AI runtime enablement, System characterization, and application pipeline development, with a strong focus on system-level quality and customer readiness

THE PERSON:

The ideal candidate operates at the hardware-software boundary — someone who can design and implement FPGA/SoC subsystems, profile and characterize hardware designs, and debug issues that span RTL, firmware, and software layers. You are equally comfortable in a design tool analyzing timing or resource utilization as you are reading a device driver or inference runtime log. You take ownership of complex, cross-layer problems and drive them to resolution independently.

KEY RESPONSIBILITIES:

  • Design, implement, and verify FPGA/SoC subsystems for AI edge platforms, including hardware accelerator integration, IP configuration, and design bring-up
  • Profile and characterize hardware designs — timing closure, resource utilization, power analysis, and thermal behavior — and drive identified issues to resolution
  • Debug design-specific hardware issues using in-system debug tools (logic analyzers, hardware monitors, JTAG) and correlate findings across RTL, firmware, and software layers
  • Lead platforms bring-up activities for new AI edge SoC hardware, including boot flow validation, storage subsystem integration, and peripheral initialization
  • Integrate and validate AI inference runtimes and hardware accelerator stacks on embedded SoC targets, debug performance, correctness, and model deployment issues end-to-end
  • Support deep learning model compilation, quantization, and optimization workflows targeting embedded AI accelerators (NPU/DPU/spatial compute engines)
  • Develop and maintain Yocto-based embedded Linux — recipes, layers, rootfs configuration, and kernel/driver integration
  • Write tooling and automation to support hardware validation, device programming workflows, and CI/CD pipelines
  • Partner with hardware and silicon teams on system stability, power characterization, and platform validation
  • Contribute to technical documentation, release notes, and customer-facing enablement content

PREFERRED EXPERIENCE:

  • Hands-on FPGA/SoC design experience: RTL integration, IP configuration
  • Experience with FPGA design tools (Vivado or equivalent) for implementation, resource analysis, power estimation, and in-system debug
  • Proficiency with hardware profiling and characterization: performance benchmarking, power/thermal analysis, and design-specific bottleneck identification
  • Proficiency with low-level hardware debug tools: JTAG, in-system logic analyzers, hardware monitors, signal analyzers
  • Strong C/C++ development skills with emphasis on embedded and systems-level code quality
  • Experience with embedded NPU, DPU, or spatial/dataflow AI accelerators — integration, debugging, and performance tuning
  • Hands-on experience deploying AI inference frameworks on edge or embedded hardware — ONNX Runtime, TensorFlow Lite, TensorRT, or equivalent vendor-specific runtimes
  • Hands-on Yocto/Open Embedded and embedded Linux experience: BSP bring-up (bootloaders, device trees, kernel drivers), recipe authoring, layer customization, and rootfs configuration
  • Working knowledge of hardware acceleration concepts: DMA, memory-mapped I/O, PCIe, interrupt handling, shared memory buffers
  • Experience with GStreamer or comparable multimedia/dataflow pipeline frameworks for hardware-accelerated workloads is a plus

#LI-PK1

Benefits offered are described: AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.

This posting is for an existing vacancy.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against AMD's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on AMD's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    AMD's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.