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Mpi Developer Jobs in Tennessee (NOW HIRING)

... Particle (MPI), Eddy Current, Ultrasonic, and Visual Inspection - to support the servicing and ... Plan workload to meet production schedules in coordination with Production and Engineering teams.

... Particle (MPI), Eddy Current, Ultrasonic, and Visual Inspection - to support the servicing and ... Plan workload to meet production schedules in coordination with Production and Engineering teams.

... Particle (MPI), Eddy Current, Ultrasonic, and Visual Inspection - to support the servicing and ... Plan workload to meet production schedules in coordination with Production and Engineering teams.

... Particle (MPI), Eddy Current, Ultrasonic, and Visual Inspection - to support the servicing and ... Plan workload to meet production schedules in coordination with Production and Engineering teams.

Mpi Developer information

What are the key skills and qualifications needed to thrive as an MPI Developer, and why are they important?

To thrive as an MPI Developer, you need strong proficiency in parallel programming concepts, C/C++ or Fortran, and a solid understanding of distributed computing, typically supported by a degree in computer science or a related field. Familiarity with the Message Passing Interface (MPI) standard, experience using HPC clusters, and knowledge of debugging and profiling tools are essential. Excellent problem-solving skills, teamwork, and clear communication help you collaborate effectively with researchers and engineers on complex projects. These skills are crucial for developing high-performance, scalable software that efficiently utilizes computing resources in scientific and engineering environments.

What are some common challenges MPI Developers face when working on large-scale distributed systems?

MPI Developers often encounter challenges related to debugging and optimizing parallel code across multiple nodes, especially when scaling to thousands of processes. Issues like process synchronization, deadlocks, and communication bottlenecks can arise and require strong problem-solving skills and familiarity with MPI debugging tools. Additionally, ensuring efficient data distribution and minimizing latency between nodes are critical for performance, making collaboration with system administrators and hardware specialists essential. Regular code reviews and performance profiling are common practices to address these challenges effectively.

What are MPI developers?

MPI developers are software engineers or programmers who specialize in using the Message Passing Interface (MPI) standard to create parallel applications, primarily for high-performance computing (HPC) environments. They design, implement, and optimize code that allows multiple computers or processors to work together efficiently by communicating and sharing data. MPI developers often work in fields like scientific computing, engineering simulations, and data analysis, where large-scale computations are required. Their expertise includes understanding parallel algorithms, distributed computing, and troubleshooting issues related to parallel performance.

What is the difference between Mpi Developer vs Software Engineer?

AspectMpi DeveloperSoftware Engineer
Required CredentialsBachelor's in Computer Science or related field, MPI programming experienceBachelor's or higher in Computer Science, programming skills
Work EnvironmentHigh-performance computing, scientific research, research labsVaried industries including tech, finance, healthcare, often in office settings
Industry UsageResearch institutions, scientific computing, HPC centersTechnology, software development, enterprise solutions

In summary, Mpi Developers specialize in parallel programming using MPI for scientific and high-performance computing, whereas Software Engineers have broader roles across various industries focusing on software development. Both roles require programming skills, but Mpi Developers focus more on HPC environments and MPI-specific expertise.

Postdoctoral Research Associate - Programming Systems for Extreme Heterogeneity

Postdoctoral Research Associate - Programming Systems for Extreme Heterogeneity

Oak Ridge National Laboratory

Oak Ridge, TN

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago


Oak Ridge National Laboratory rating

9.3

Company rating: 9.3 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

4th of 103 rated laboratories


Job description

Requisition Id 16505 

Overview:

The Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL) is seeking an exceptional Postdoctoral Researcher to advance programming systems for extreme-scale, heterogeneous computing. This role sits at the intersection of compiler infrastructure, formal verification, runtime systems, and hardware/software co‑design—expanding into emerging paradigms such as quantum and analog computational models.

You will explore how compilers, runtimes, and AI-driven agents can co-optimize complex architectures, reasoning across conventional processors (CPUs/GPUs), custom accelerators, and next-generation quantum and analog devices. Your work will contribute to a vision of autonomous system engineering in which AI agents understand algorithmic intent, architectural constraints, and performance models—driving system co-design across the entire computing stack.

Major Duties/Responsibilities:

  • LLVM Compiler Innovation: Advance the LLVM toolchain to support autonomous “closed-loop” optimization environments, enabling AI agents to analyze, transform, and validate IR with performance-driven reasoning.
  • HPC System Co‑Design: Investigate methods through which AI agents guide architectural design decisions for massively parallel heterogeneous systems, including pathways that integrate quantum or analog co-processors.
  • Performance Engineering at Scale: Profile, model, and optimize distributed codes using MPI, OpenMP, CUDA, ROCm, and related HPC technologies while bridging theoretical AI models with real hardware constraints.
  • Cross‑Paradigm Integration(new optional emphasis): Explore how compilers and runtimes can unify classical, quantum, and analog execution models under a shared optimization framework.

Basic Qualifications:

  • Ph.D. in Computer Science, Computer Engineering, or a closely related field.
  • Compiler and Systems Expertise: Strong experience with LLVM (e.g., writing passes, IR transformations) and HPC programming in C++, MPI, OpenMP, CUDA, or related models.
  • Solid understanding of distributed-memory systems and many‑core architectures.

Preferred Qualifications:

  • Formal Methods: Experience with automated reasoning or verification tools (e.g., Z3, TLA+, LEAN) to ensure correctness of compiler- or AI‑generated code.
  • Mathematical Foundations: Background in linear algebra, graph algorithms, and related areas central to dataflow and tensor optimization.
  • Hardware/Software Co‑Design: Familiarity with architectural simulators (e.g., Gem5, SST) or HDLs.
  • Quantum / Analog Computing: Exposure to quantum programming models (e.g., QIR, Q#, Qiskit, Cirq) or analog/neuromorphic systems; interest in integrating these paradigms into unified compilation and optimization strategies.
  • Programming Languages & Frameworks: Experience with Julia, Rust, Python, Kokkos, OpenSHMEM, or similar emerging ecosystem tools.

Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding.

Letters of Recommendation:

Please submit three letters of reference when applying for this position. You can upload these directly to your application or have them sent to postdocrecruitment@ornl.gov with the position title and number referenced in the subject line.

Security, Credentialing, and Eligibility Requirements:

For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required. Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation.
To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.

For foreign national candidates:
If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment. Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment

About ORNL:

As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.

ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience.

Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.

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This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.

If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply.  UT-Battelle is an E-Verify employer.


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