Senior Manager, Technology Consulting

EPAM Systems

Newtown, PARemoteJob$180–220K/yrTracked 1w agoSeen in employer's feed 4 days ago

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At a glance

Compensation
$180–220K/yr
Location
Newtown, PARemote
Work Authorization
Not specified

Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

EPAM Systems is hiring a Senior Manager, Technology Consulting. The role leads a center of excellence to drive performance and optimization of AI workloads on advanced hardware accelerators such as TPUs and GPUs, shaping AI research and production deployments across Google Cloud and the open‑source ecosystem. The senior manager will also track hardware and compiler advances, engage with researchers and framework developers, and build infrastructure tools to improve scalability and efficiency.

Key focus areas include Design and optimize high‑performance kernels using languages such as Pallas, Mosaic, and Triton for TPU and GPU architectures., Architect benchmarking suites, autotuning frameworks, performance analysis tools, regression testing, and documentation to enhance developer interaction., and Track advancements in hardware architectures, compiler technologies, and AI models to uncover new performance‑optimization opportunities..

Important skills include Pallas, Mosaic, Triton, Tensor Processing Unit, Graphics Processing Unit, and C++.

Skills & qualifications

RequiredNice to have

Skills

PallasMosaicTritonTensor Processing UnitGraphics Processing UnitC++PythonCUDAJAXPyTorchAccelerated Linear AlgebraMLIROpenXLAPerformance Optimization at Kernel LevelLow‑Precision FormatsMixture of ExpertsModern Accelerators UnderstandingCompiler Principles UnderstandingInvestigative Problem‑Solving CapabilitiesCommunication Skills

Qualifications

Bachelor's Degree or Equivalent Practical Experience12+ Years Industry Experience5+ Years Software Development in C++ or Python3+ Years Testing Maintaining or Launching Software Products1+ Year Software Design and ArchitectureExperience Optimizing TPU/GPU CodeExperience With ML Frameworks JAX/PyTorchRecord of Building Developer Infrastructure

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match
Paid Time Off

Full job description

Are you passionate about squeezing every last drop of performance out of advanced hardware accelerators? Step into a role where you will shape the future of AI. In this role, you will drive the performance and optimization of both training and serving, delivering massive impact for customers. We are seeking a talented leader to build out a center of excellence and scale this practice. You will have exposure to the newest Tensor Processing Unit (TPU) and Graphics Processing Unit (GPU) hardware, the latest ML models, and the advanced toolchains that bridge them. Your work will directly enable AI research and production deployments across Google Cloud and the broader open-source ecosystem. You will address complex technical issues that directly impact the efficiency and scalability of AI across the industry. The AI and Infrastructure team is redefining what's possible.

Req# 1067369299

Responsibilities

  • Design and optimize high-performance kernels (using languages like Pallas, Mosaic, and Triton) targeting Tensor Processing Unit (TPU) and Graphics Processing Unit (GPU) architectures for critical Machine Learning (ML) operations, redefining what's possible from massive training runs to high-speed inference

  • Architect infrastructure such as benchmarking suites, autotuning frameworks, performance analysis tools, regression testing, and documentation, transforming how the developer community interacts with increasingly critical custom kernels in key Open-Source Software (OSS) libraries

  • Track the latest advancements in hardware architectures, compiler technologies, and AI models to identify new opportunities for performance optimization through custom kernels

  • Engage with ML researchers, framework developers (Just After eXecution (JAX), PyTorch), and compiler engineers (Accelerated Linear Algebra (XLA)) to enhance adoption, identify new requirements, and address bottlenecks by providing appropriate solutions

Requirements

  • Bachelor's degree or equivalent practical experience

  • Overall 12+ years of industry experience; 5 years of experience with software development in C++ or Python

  • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture

  • Experience with performance optimization at the kernel level

  • Experience optimizing TPU/GPU code, using low-level kernel languages like Pallas, Compute Unified Device Architecture (CUDA), or Triton

  • Knowledge of ML Frameworks (JAX/PyTorch), common operations like attention and Mixture of Experts (MoEs), including model optimization and low-precision formats

  • Understanding of modern accelerators (e.g., data movement, pipelining, heterogeneous compute, and scale-out)

  • Understanding of compiler principles (optimization, code generation) and toolchains such as MLIR, OpenXLA

  • Demonstrate a record of building developer infrastructure, including Open-Source Software (OSS) libraries, flexible high-performance APIs, and easy-to-consume documentation to empower the community

  • Excellent investigative and problem-solving capabilities with communication skills across cross-functional teams

We offer

  • Medical, Dental and Vision Insurance (Subsidized)

  • Health Savings Account

  • Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)

  • Short-Term and Long-Term Disability (Company Provided)

  • Life and AD&D Insurance (Company Provided)

  • Employee Assistance Program

  • Unlimited access to LinkedIn learning solutions

  • Matched 401(k) Retirement Savings Plan

  • Paid Time Off – the employee will be eligible to accrue 15-25 paid days, depending on specific level and tenure with EPAM (accrual eligibility may change over time)

  • Paid Holidays - nine (9) total per year

  • Legal Plan and Identity Theft Protection

  • Accident Insurance

  • Employee Discounts

  • Pet Insurance

  • Employee Stock Purchase Program

  • If otherwise eligible, participation in the discretionary annual bonus program

  • If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program

This Remote Position Cannot be Performed in New York City.

This posting includes a good faith range of the salary EPAM would reasonably expect to pay the selected candidate. The range provided reflects base salary only. Individual compensation offers within the range are based on a variety of factors, including, but not limited to: geographic location, experience, credentials, education, training; the demand for the role; and overall business and labor market considerations. Most candidates are hired at a salary within the range disclosed. Salary range: $180,000 - $220,000. In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position.

In accordance with the LA County Fair Chance Ordinance, you may find a copy of the Notice containing a summary of the Ordinance’s key provisions here: Concept FCO Posting 8 27 24 (lacounty.gov)

EPAM Systems, Inc. is an equal opportunity employer. We recognize the value of diversity and inclusion in creating success for our customers, business partners, shareholders, employees and communities. We are committed to recruiting, hiring, developing and promoting employees without discrimination. As a global employer, this commitment includes complying with all laws in the countries in which we operate. Nevertheless, we believe equal employment practices should not be limited to what the law requires. Equal opportunity and inclusion are essential to motivate, empower and recognize the best in everyone.

At EPAM, employment actions are based on individual qualifications, without regard to race, color, religion, creed, gender, pregnancy status, sexual orientation, gender identity, gender expression, marital or familial status, national origin, ancestry, genetics, age, disability status, veteran status, citizenship status when otherwise legally able to work, or any other characteristic protected by law.

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