Microsoft

Senior Software Engineer

Redmond, WA US
USD 117k - 250k
Java JavaScript Python Azure Kubernetes Microservices C++ C#
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Description

Microsoft Quantum is dedicated to solving some of the world’s intractable problems and forever altering our economic, industrial, academic, and societal landscape. In just hours or days, a quantum computer will solve some complex problems that would otherwise take today’s computers billions of years! This has massive implications for research in sustainability, energy, environmental systems, smart materials, and more. Microsoft is working to build a scalable quantum machine, to empower people and organizations with this incredible technology stack. 

 

Are you passionate about building innovative systems at the intersection of HPC (high-performance computing), AI (Artificial Intelligence) and Quantum? Do you want to be part of the next revolution in computing? Microsoft is looking for you! We are looking forSenior Software Engineer. Join our team as we create a new “supercomputing as a service” offering focused on Chemistry and Material Science workloads. For more information about our team, visit https://quantum.microsoft.com/.

 

Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we’re dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world. 

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.

Required/Minimum Qualifications

  • Bachelor's Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.
  • 2+ years programming experience with proficiency in at least one general-purpose programming language relevant to scientific computing, such as C/C++/C#/Python.
  • 4+ years in a collaborative software development environment.  
  • Experience with using cloud-based services (Azure or similar) to build highly scalable performance aware systems.  

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.

Additional or Preferred Qualifications

  • Computer Science, Computer Engineering degree or equivalent experience.
  • End to end deployment of HPC infrastructure in Azure.
  • Familiarity with HPC (High Performance Computing) solutions in Azure or other hyperscalers.
  • Familiarity with Kubernetes/AKS, Azure Store, Azure Batch.
  • Knowledge of scheduler systems (e.g., Slurm).
  • Hands-on Linux experience – systems administration and troubleshooting.
  • Experience with containerization/deploying applications and microservices.
  • Experience with open-source software development.
  • Self-motivated with an ability to succeed in a team-oriented, dynamic environment.
  • Detail oriented design, coding, debugging, and problem-solving skills.

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 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 $153,600 - $250,200 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 for the role until July 5, 2024.

 

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

 

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

 

#Quantum 

This role, as part of the Azure Quantum Elements team, will create new Azure services that are designed to cater for demanding HPC (High Performance Computing) workloads (think classical supercomputer scale). These services will blend traditional HPC solutions with AI & Quantum accelerators (both third party and first party hardware). The candidate for this position is agile and able to adapt to changing conditions and expanding priorities as we learn and grow. Such a candidate has proficient communication and cross-team collaboration skills.

  • Deploy and co-design high-performance computing infrastructure solutions for computational chemistry and materials science workloads on Azure.
    • End to end deployment of HPC infrastructure in Azure.
    • Communicate with end users and platform engineers in a timely and professional manner.
    • Monitor system event logs, determine cause of errors and troubleshoot them.
    • Improve and optimize the infrastructure together with the team, based on learnings and customer requests.
  • Benchmark and tune performance of computational packages on Azure.
  • Implement best practices for software development, build, test, and release processes. 
  • Create usage documentation along with matching examples. 
  • Create automated testing processes for the software implementations. 
  • Provide technical support to users worldwide for these systems. 
  • Track, prioritize, and implement new features and maintain related software. 
  • Support a one team, one culture approach.
  • Mentor less experienced engineers 
  • Lead with an inclusive, growth mindset. 

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