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Internship - Geotechnical Engineer (Hybrid)
Barr Engineering Co.
Minneapolis, MN
- $22.66 to $30.46 USD / hour
Added just now
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Internship - Geotechnical Engineer - 6 Month (Hybrid)
Barr Engineering Co.
Minneapolis, MN
- $22.66 to $30.46 USD / hour
Barr is seeking a geotechnical engineer intern to join our innovative and collaborative team of over 90 geotechnical engineers and geologists. In this hybrid role, you will support the…
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Senior Cloud Engineer
Eide Bailly
Minneapolis, MN
The Cloud Senior Engineer is responsible for supporting complex engineering initiatives across the Microsoft cloud environment, with a primary focus on Microsoft Dynamics 365 CRM, the Power…
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Senior Cloud Engineer
Eide Bailly
Minneapolis, MN
The Cloud Senior Engineer is responsible for supporting complex engineering initiatives across the Microsoft cloud environment, with a primary focus on Microsoft Dynamics 365 CRM, the Power…
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Engineer II, Google Cloud
PwC
Minneapolis, MN
As a Engineer II, Google Cloud you will contribute to the design, build, testing, and optimization of cloud-native applications on Google Cloud, supporting work across the full software…
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Front End React Engineer
Eliassen Group
Saint Paul, MN
- $80 to $90 USD / hour
Our client seeks an experienced Front End React Engineer to join a small, focused team building features across three SaaS products in consumer goods retail. Global brands and retailers…
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Forward Deployed Engineer Specialists (FDE) (Mid/Senior Level)
Salesforce, Inc.
NY
- $148,500 to $285,800 USD / year
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Hardware Engineer, Networking Switch Bring Up and Rack Level Performance Validation
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Santa Clara, CA
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Advanced Micro Devices, Inc
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Sunnyvale, CA
Added 18 mins ago
Staff Software Engineer, AI/ML, Cloud IAM, Dataset and Model Training
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8 years of experience in software development.
Added 20 mins ago
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Front End React Engineer
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- $80 to $90 USD / hour
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Added 22 mins ago
Senior Test Automation Engineer - Local to Pittsburgh, PA
CGI
Pittsburgh, PA
We are seeking an experienced Senior Test Automation Engineer with 8+ years of experience in software quality engineering, test automation, and enterprise application testing. The ideal…
Added 22 mins ago
Sr Fullstack Developer
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Pittsburgh, PA
CGI is seeking an experienced Full Stack Java Software Developer at the Expert level to provide technical leadership in the design, development, modernization, and delivery of complex…
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OT Security Engineer
CGI
Pittsburgh, PA
CGI is looking for operational Technology (OT) security engineer for a fulltime position in New Orleans.
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Software Engineer in Test
CGI
Cary, NC
We CGI is seeking an experienced Software Engineer in Test and Automation to help teams build and deliver reliable, scalable applications. In this role, you will design reusable testing…
Added 24 mins ago
Sr Engineering Manager
MED Medtronic Inc
Tempe, AZ
Added 32 mins ago
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Incoming Quality Inspector - Mechanical and Machined Parts (R6590)
Shield AI
Seattle, WA
- $33 to $50 USD / hour
…intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities…

Advanced Micro Devices, Inc

Advanced AI Workloads - Performance and Scalability Engineer

San Jose, CA, United States

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Job details

Apply by: Nov 3, 2027
Posting language: English
Posted: Nov 3, 2026

Original job description

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.

THE ROLE:

AMD is looking for a performance-obsessed engineer to drive AI inference performance to the absolute limit on AMD GPUs. You will lead a small, highly technical team and work end-to-end across the stack: profiling, diagnosing, and optimizing leading models on customer-relevant serving configurations (e.g. agentic coding, long-context, high-throughput serving). You move from challenge to challenge, tackling the hardest performance problems across our most strategic customer engagements and leaving behind measurable uplifts and reusable methodology. This is not a sustaining role: every engagement is different, every optimization leaves a lasting impact.

THE PERSON:

You can take any AI workload, understand it top to bottom, and make it faster. You are equally comfortable profiling a distributed serving deployment, diagnosing a kernel-level bottleneck, and presenting optimization results to a customer's VP of Engineering. You understand GPU kernel performance deeply: not just how to use profiling tools, but how to reason about occupancy, cache behavior, memory coalescing, and instruction-level bottlenecks from first principles. You lead through technical depth: you set the standard for your team by doing the hardest work yourself and pulling others up along the way. You are AI-fluent, not just in the models you optimize, but in how you work: you leverage AI agents and tools daily to accelerate your workflows, and you actively define new ways of using them to make yourself and your team more effective. You thrive under pressure, move fast, and measure everything.

KEY RESPONSIBILITIES:

Drive performance optimization end-to-end across the stack on leading models and customer-relevant serving configurations, closing competitive gaps through kernel and systems-level optimizations
Profile, diagnose, and resolve the hardest cross-stack performance bottlenecks, from GPU kernels and operator dispatch to framework-level scheduling and multi-node communication
Diagnose kernel-level performance issues using profiling tools: identify occupancy limitations, L2 cache thrashing, register pressure, memory coalescing issues, etc, and translate findings into actionable optimizations
Lead customer-facing technical engagements: present findings, recommend optimizations, and deliver measurable performance uplifts
Integrate and optimize custom kernels (Triton, Gluon, CK, PyDSL, ASM, AITER) within serving frameworks, understanding dispatch paths, shape extraction, and backend selection
Optimize multi-node distributed inference: communication-compute overlap, parallelism strategies, and scale-out performance
Develop and refine shared performance optimization methodology that raises the bar across the broader team
Leverage AI agents to accelerate daily work and define best practices for AI-assisted performance engineering
Upstream optimizations into open-source frameworks such as vLLM, SGLang, and PyTorch

PREFERRED EXPERIENCE:

Software development experience in GPU computing, AI systems, or high-performance computing
Deep hands-on experience with AI serving frameworks (vLLM, SGLang, TensorRT-LLM, or similar) and their internals
Strong background in end-to-end workload profiling and bottleneck diagnosis: you can trace from user request to GPU kernel and back
Understanding of GPU kernel performance characteristics: occupancy, register and LDS pressure, memory coalescing, cache utilization, wavefront scheduling, and instruction-level bottlenecks
Ability to read and reason about kernel-level profiling data and translate it into concrete optimization actions. You may not write kernels from scratch daily, but you can tell exactly why one is slow and what needs to change
Understanding of model architectures (transformers, MoE, diffusion), inference paradigms (speculative decoding, prefill-decode disaggregation, continuous batching), and how they map to hardware
Experience with custom kernel development or integration (HIP, CUDA, Triton, CK, or similar)
Understanding of multi-GPU and multi-node distributed systems: scale-up and scale-out topologies, RCCL/NCCL, RDMA, and communication-compute overlap
System and rack-level design awareness: understanding performance tradeoffs across the full deployment stack
Strong proficiency in Python and C++
Customer-facing technical leadership experience: ability to engage with customers, present findings, and drive decisions
Fluent in AI-assisted development: daily user of AI agents and tools, with a mindset toward defining new AI-powered workflows
Strong Linux systems knowledge
Excellent written and verbal English communication skills

PREFERRED ACADEMIC CREDENTIALS:

Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent. Advanced degree preferred but exceptional industry experience valued equally.

LOCATION:

San Jose, CA, preferred

This role is not eligible for visa sponsorship.

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.

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Skills

Scheduling
Communication skills
PyTorch
Software development
Python
C++
Leadership
Communicate with customers
Linux
Computer science
Computer engineering
Electrical engineering

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