Senior Software Engineer - Performance

Posted 12 Days Ago
Be an Early Applicant
Mountain View, CA, USA
In-Office
120K-261K Annually
Senior level
Software • Quantum Computing • Metaverse • Infrastructure as a Service (IaaS)
The Role
Drive end-to-end inference performance for OpenAI and other LLMs: benchmark and profile on NVIDIA/AMD GPUs and Microsoft silicon, implement and optimize performance-critical software, build tooling for deployment velocity and monitoring, and collaborate across hardware and software teams to reduce compute footprint and accelerate model deployment.
Summary Generated by Built In
Overview

The Artificial Intelligence Performance team at Microsoft develops AI software that enables running AI models everywhere, from world’s fastest AI supercomputers, to servers, desktops, mobile phones, IoT devices and internet browsers. We collaborate with our hardware teams and partners, both internal and external, and operate at the intersection of AI algorithmic innovation, purpose-built AI hardware, systems, and software. We are a team of highly capable and motivated people that pride themselves on a collaborative and inclusive culture.
We own inference performance of OpenAI and other state of the art LLM models and work directly with OpenAI on the models hosted on the Azure OpenAI service serving some of the largest workloads on the planet with trillions of inferences per day in major Microsoft products, including Office, Windows, Bing, SQL Server, and Dynamics.
As a Senior Software Engineer - Performance on the team, you will have the opportunity to work on multiple levels of the AI software stack, including the fundamental abstractions, programming models, compilers, runtimes, libraries and APIs to enable large scale training and inferencing of models. You will benchmark OpenAI and other LLM models for performance on GPUs and Microsoft HW, debug and optimize performance, monitor performance and enable these models to be deployed in the shortest amount of time and the least amount of HW possible helping achieve Microsoft Azure's capex goals.
This is a hands-on technical role requiring software design and development skills. We’re looking for someone who has a demonstrated history of solving technical problems and is motivated to tackle the hardest problems in building a full end-to-end AI stack. An entrepreneurial approach and ability to take initiative and move fast are essential.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.


Responsibilities

As a Senior Software Engineer on the team the common tasks of the job would include, but not be limited to:

  • Identify and drive improvements to end-to-end inference performance of OpenAI and other state-of-the-art LLMs
  • Measure, benchmark performance on Nvidia/AMD GPUs and first party Microsoft silicon
  • Optimize and monitor performance of LLMs and build SW tooling to enable insights into performance opportunities ranging from the model level to the systems and silicon level to improve customer experience and reduce the footprint of the computing fleet
  • Enable fast time to market of LLMs/models and their deployments at scale by building SW tools that afford velocity in porting models on new Nvidia and AMD GPUs
  • Design, implement, and test functions or components for our AI/DNN/LLM frameworks and tools
  • Speeding up/reducing complexity of key components/pipelines to improve performance and/or efficiency of our systems
  • Communicate and collaborate with our partners both internal and external
  • Embody Microsoft's Culture and Values

Qualifications

Required Qualifications:

  • Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

  • Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience. 
  • Technical background and solid foundation in software engineering principles, computer architecture, GPU architecture, HW neural net acceleration
  • Experience in end-to-end performance analysis and optimization of state of the art LLMs, including proficiency using GPU profiling tools
  • Experience in DNN/LLM inference and experience in one or more DL frameworks such as PyTorch, Tensorflow, or ONNX Runtime and familiarity with CUDA, ROCm, Triton
  • Cross-team collaboration skills and the desire to collaborate in a team of researchers and developers  

#AIInfra


Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay


This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.



Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Skills Required

  • Bachelor's Degree in Computer Science or related field AND 6+ years technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
  • Ability to meet Microsoft, customer and/or government security screening requirements, including passing the Microsoft Cloud background check upon hire and biannually.
  • Master's Degree in Computer Science or related field AND 8+ years technical engineering experience OR Bachelor's with 12+ years experience OR equivalent experience.
  • Technical background and solid foundation in software engineering principles, computer architecture, GPU architecture, and HW neural net acceleration.
  • Experience in end-to-end performance analysis and optimization of state-of-the-art LLMs, including proficiency using GPU profiling tools.
  • Experience in DNN/LLM inference and experience with one or more deep learning frameworks such as PyTorch, TensorFlow, or ONNX Runtime.
  • Familiarity with CUDA, ROCm, and Triton.
  • Cross-team collaboration skills and ability to work with internal and external partners.

Microsoft Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.

  • Fair & Transparent Compensation Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
  • Retirement Support Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
  • Parental & Family Support Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.

Microsoft Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Redmond, WA
206,870 Employees
Year Founded: 1975

What We Do

At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.

Similar Jobs

ServiceNow Logo ServiceNow

Staff Software Engineer

Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Hybrid
Santa Clara, CA, USA
29000 Employees
191K-334K Annually

NVIDIA Logo NVIDIA

Software Engineer

Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
In-Office
2 Locations
21960 Employees
152K-288K Annually

NVIDIA Logo NVIDIA

Software Engineer

Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
In-Office or Remote
2 Locations
21960 Employees
152K-242K Annually

NVIDIA Logo NVIDIA

Software Engineer

Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
In-Office or Remote
6 Locations
21960 Employees
184K-357K Annually

Similar Companies Hiring

Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account