Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.

Job Information

Microsoft Corporation Principal Software Engineer in Redmond, Washington

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.

The Artificial Intelligence (AI) Platform organization at Microsoft builds the end-to-end Azure AI stack/Platform as a Service (PaaS) and is core to Azure’s innovation and differentiation, as well as all of Microsoft’s flagship products, from Office to Teams, to Xbox. We are the team building Azure OpenAI, Azure Machine Learning (ML), Cognitive Services, and the global Azure AI infrastructure for running the largest AI workloads on the planet.

We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.

The Artificial Intelligence (AI) Frameworks team at Microsoft develops the AI software used to train and deploy the world’s most advanced AI models. We collaborate with our hardware teams and partners to build the software stacks for Microsoft’s next-generation supercomputers and the new Maia-100 AI accelerator. We work closely with ML researchers and developers to optimize and scale out model training and inference. We work directly with OpenAI on the models hosted on the Azure OpenAI service.

We are hiring a Principal Software Engineer to work on graphics processing unit (GPU) performance analysis and optimization. As a member of this team, you will have the opportunity to work on the fundamental abstractions, programming models, runtimes, libraries and application programming interfaces (APIs) to enable large scale training and inferencing of models on novel AI hardware.

This is a technical role: it requires hands on software design and development skills. We’re looking for someone who has a demonstrated history of solving hard 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.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Responsibilities

  • Collaborate broadly across multiple disciplines from hardware designers to ML developers

  • Engage with key partners to understand and implement robust performance analysis and optimization for state-of-the-art large language models (LLMs) and other models.

  • Perform software development in C/C++, Python, and GPU development in languages such as CUDA, ROCm, or Triton.

  • Identify requirements, scope solutions, estimate work, schedule deliverables.

  • Embody our Culture (https://www.microsoft.com/en-us/about/corporate-values) and Values (https://careers.microsoft.com/us/en/culture)

Qualifications

Required/Minimum Qualifications

  • Bachelor's Degree in Computer Science, or related technical discipline 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.

  • 4+ years' experience with C/C++ 4+ years’ practical experience working on real-world applications that use GPUs, experience in optimizing GPU kernels for performance

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/Additional Qualifications

  • Bachelors Degree or advanced degree in computer engineering, computer science, or related fields, and 10+ years of software development experience.

  • Experience in low-level program behavior, including performance and memory usage, proficiency using profiling tools such as NVIDIA Visual Profiler, nvprof, and NVIDIA Nsight Compute

  • Technical background and foundation in software engineering principles, architecture design, and performance analysis

  • Intellectual curiosity and passion about learning new technologies

  • Exposure to state-of-the art Deep Neural Network training and inference workloads, including research techniques

  • Great cross-team collaboration skills and the desire to collaborate in a team of researchers and developers

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $133,600 - $256,800 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 $173,200 - $282,200 per year.

Software Engineering IC6 - The typical base pay range for this role across the U.S. is USD $158,500 - $276,600 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 $202,800 - $304,200 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

Microsoft will accept applications and processes offers for these roles on an ongoing basis.

#aiplatform#

Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .

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