ZipRecruiter

Log In

1

Amd Engineering Jobs (NOW HIRING)

Amd

Software Solutions Architect

Austin, TX · On-site

AMD is looking for a Principal strategic software engineering lead who is passionate about architecting and delivering solutions for enterprises purchasing client and graphics solutions such as high ...

AMD

Software Solutions Architect

Austin, TX · On-site

... AMD roadmap based on real-world enterprise usage • Mentor engineers and drive technical excellence across the team • Develop new solution concepts that demonstrate the value of AMD platforms in ...

AMD

Senior Linux Software Engineer

Austin, TX · On-site

AMD is a company that builds great products to accelerate next-generation computing experiences. They are seeking a Senior Linux Software Engineer to work with OS partners on enabling Linux distros ...

AMD

Performance Architect - x86 & Customer Solutions

$170K/yr

... of AMD based solutions. • Collaborate with customers, partners and internal product and engineering teams as a technical expert with deep domain expertise in the target use cases, system ...

AMD

Technical Program Manager - Training at Scale

San Jose, CA · On-site

$151K - $195K/yr

... engineering teams. Responsibilities : • Lead end-to-end technical programs for Training at Scale on AMD Instinct products, from planning and scoping through release. • Own the Training Docker ...

previous pagenext page

Showing results 21-40

All JobsAmd Engineering Jobs

Amd Engineering information

See salary details

$32.5K

$63K

$95.5K

How much do amd engineering jobs pay per year?

As of Aug 12, 2026, the average yearly pay for amd engineering in the United States is $62,977.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,000.00 and $72,000.00 per year, depending on experience, location, and employer.

What is the difference between Amd Engineering vs Mechanical Engineering?

AspectAmd EngineeringMechanical Engineering
Required CredentialsBachelor's degree in engineering, certifications in CAD or project managementBachelor's or higher in mechanical engineering, PE license often preferred
Work EnvironmentDesign firms, manufacturing, aerospace, electronicsManufacturing plants, design firms, automotive, aerospace
Industry UsageUsed in electronics, hardware, and systems designUsed across industries like automotive, aerospace, energy

While Amd Engineering focuses on designing and developing electronic and hardware systems, Mechanical Engineering covers a broader range of physical systems and machinery. Both roles require engineering degrees and share similar work environments, but their technical focus and industry applications differ significantly.

What do AMD engineers do?

AMD engineers design, develop, and test semiconductor products such as processors and graphics cards. They work with hardware architecture, software integration, and performance optimization, often using tools like CAD software and programming languages. Their role involves collaboration across teams to improve product efficiency and innovation.

What is an AMD engineer?

AMD Engineers are professionals who work for Advanced Micro Devices (AMD), a leading semiconductor company. They design, develop, and test microprocessors, graphics cards, and other computing technologies. Their work involves hardware and software engineering, collaborating on product innovation, and optimizing performance for consumer and enterprise devices. AMD Engineers may specialize in areas like chip design, embedded systems, or software development, contributing to advancements in high-performance computing and graphics solutions.

What are some typical challenges faced by engineers working at AMD, and how can new hires best prepare for them?

Engineers at AMD often work on cutting-edge semiconductor technologies, which means they must quickly adapt to fast-paced development cycles and complex problem-solving scenarios. New hires may find the integration of hardware and software, rapid innovation, and collaboration across global teams particularly challenging. To prepare, it's beneficial to strengthen both your technical knowledge and soft skills, such as communication and adaptability, and to stay current with industry trends. Proactively seeking mentorship and engaging in cross-functional teamwork can also help ease the transition and foster professional growth.

What are the key skills and qualifications needed to thrive as an AMD engineer?

To thrive as an AMD Engineer, you need a strong background in computer engineering, microarchitecture, and hardware design, generally supported by a relevant degree in electrical or computer engineering. Familiarity with hardware description languages (HDLs) like Verilog or VHDL, simulation tools, and industry certifications such as those in system-on-chip (SoC) design are commonly required. Analytical thinking, problem-solving, and effective teamwork are crucial soft skills in this role. These competencies ensure the development of efficient, innovative processors and enable effective collaboration within multidisciplinary teams.
More about Amd Engineering jobs
What cities are hiring for Amd Engineering jobs? Cities with the most Amd Engineering job openings:
What states have the most Amd Engineering jobs? States with the most job openings for Amd Engineering jobs include:
What job categories do people searching Amd Engineering jobs look for? The top searched job categories for Amd Engineering jobs are:
Amd Engineering jobs near you
Infographic showing various Amd Engineering job openings in the United States as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $62,977 per year, or $30.3 per hour.

Principal AI Solutions Architect

Advanced Micro Devices, Inc

Santa Clara, CA • On-site

$207K/yr

Full-time

Re-posted 4 days ago

Advanced Micro Devices rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

27th of 157 rated electronics manufacturers

Job description

WHAT YOU DO AT AMD CHANGES EVERYTHING
At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.
THE ROLE:
As a Principal AI Infrastructure Solution Engineer, you will partner with AMD's AI software teams and customers to enable large-scale LLM training and inference on AMD Instinct GPUs. You will design and validate production-ready Kubernetes architectures and translate inference frameworks such as vLLM and SGLang into deployable customer solutions. Your work will accelerate customer time-to-production and strengthen AMD's leadership in AI infrastructure.
THE PERSON:
You are a solution-oriented AI infrastructure engineer with strong expertise in GPU-accelerated computing and large-scale AI deployments. You excel at translating complex technologies into customer-ready solutions and delivering production-grade Kubernetes-based inference and training systems. You bring hands-on experience with Kubernetes-native distributed training, including scheduling, topology-aware GPU placement, and operating resilient, high-performance AI workloads at scale.
KEY RESPONSBILITIES:
  • Design and deliver reference architectures for LLM training and inference on AMD GPUs, from single-node to multi-datacenter deployments using Kubernetes and SLURM.
  • Architect and validate Kubernetes-based distributed training stacks for large-scale LLM workloads on AMD GPUs.
  • Define and implement gang scheduling and topology-aware GPU placement for multi-node training workloads.
  • Enable Kubernetes-native training controllers including Kubeflow Training Operator, MPI Operator, Volcano, and Kueue.
  • Partner with enterprise customers and cloud providers to deploy and optimize production AMD GPU clusters for distributed inference and multi-tenant workloads.
  • Implement and validate GPU orchestration using Kubernetes GPU Operator, device plugins, metrics exporters, and SLURM controllers.
  • Benchmark and optimize LLM inference frameworks (vLLM, SGLang) on AMD hardware, producing customer-ready performance playbooks.
  • Develop repeatable benchmarks for Kubernetes-based distributed training, covering scaling efficiency, step time, communication, and checkpointing.
  • Create tuning guides for RCCL/NCCL-equivalent communication, CPU/GPU affinity, interconnect utilization, and workload-specific optimizations.
  • Serve as the feedback loop between customers and AMD engineering, translating requirements into validated performance improvements.

PREFERRED EXPERIENCE:
  • Deployed and operated large-scale GPU clusters for production AI training and inference
  • Deep expertise in Kubernetes GPU orchestration (operators, device plugins, scheduling, multi-tenancy, observability)
  • Hands-on experience with distributed training on Kubernetes (Kubeflow, MPI Operator, Volcano, Kueue, Ray)
  • Strong knowledge of gang scheduling, elastic jobs, quotas, priority, and shared GPU environments
  • Tuned Kubernetes networking and storage for AI workloads (high-performance CNI, RDMA where applicable, scalable checkpointing)
  • Implemented ML observability for training (GPU/comms metrics, step-time analysis, SLO-driven ops)
  • Experience in AI/ML infrastructure, solution architecture, and production GPU deployments
  • Proven success enabling customers through complex AI platform deployments and migrations
  • Strong background working across engineering and customer-facing roles
  • Understanding of AI accelerator architectures and inference optimization techniques
  • Experience operationalizing Kubernetes-based distributed training at scale
  • Open-source contributions or AI infrastructure community engagement (plus)

ACADEMIC CREDENTIALS:
  • Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field required

LOCATION:
  • Santa Clara, Ca or open to discuss other locations.

This role is not eligible for visa sponsorship.
#LI-EV1
#LI-HYBRID
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.

What Advanced Micro Devices employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply