Hpc Performance Modeling Developer Jobs

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Quantum Simulations Software Developer

Lawrence Berkeley National Laboratory San Francisco Bay Area, CA

San Francisco Bay Area, CA

Today

$120k - $202k/yr Full time Computational Physics Distributed Computing Engineering

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Job Description

Lawrence Berkeley National Laboratory (NERSC) is hiring a Quantum Simulations Software Developer to advance large-scale classical quantum circuit simulations on NERSC resources.

Responsibilities

Simulate quantum circuit performance on classical supercomputers
Design and optimize classical simulation algorithms for quantum circuits
Evaluate approximate simulation approaches to improve scalability on classical hardware
Develop hardware-aware performance models and planners for distributed MPS simulation
Develop circuit-level resource models for classical quantum simulation
Publish results in peer-reviewed journals and present progress at scientific conferences, workshops, and technical meetings
Handle problems of diverse scope where analysis of data requires evaluation of identifiable factors
Apply good judgment in selecting methods and techniques to reach solutions
Network with senior internal and external personnel in the area of expertise

Requirements

Typically requires minimum 5 years of related experience with a Bachelor’s degree; or 3 years with a Master’s degree; or equivalent work experience
Demonstrated understanding of fundamentals of quantum computing and the quantum circuit model of computation
Experience running quantum circuit simulations using exact and approximate approaches such as tensor networks
Proficiency in at least one programming language: Python, Julia, or C++
Familiarity with quantum computing frameworks: Qiskit, Cirq, Pennylane
Ability to work independently and as part of a team in a fast-paced research environment
Ability to prepare periodic updates (written and oral) for internal and external reviews or reports
Ability to troubleshoot and solve problems of diverse scope where analysis of data requires evaluation of identifiable factors
Ability to network with senior internal and external personnel in the area of expertise
Excellent oral and written communication skills

Technologies & Tools

Python, Julia, C++, Qiskit, Cirq
Pennylane
Tensor networks
NVIDIA libraries: cuTENSOR, cuTENSORNET, cuTENSORMp
C3PQ
SLURM
GPU acceleration
MPI
Distributed MPS simulation
Distributed state-vector simulations
Perlmutter

Desired Skills / Knowledge

Familiarity with computing hardware, CPU/GPU architecture, and using HPC systems
Experience with NVIDIA libraries for large-scale tensor constructions (cuTENSOR, cuTENSORNET, cuTENSORMp)
Experience with C3PQ or equivalent heuristic-based contraction algorithms in state-vector or tensor network settings
Experience running large-scale computations on a supercomputer, including SLURM job scripts, GPU acceleration, and MPI communication

Benefits

Exceptional health and retirement benefits, including pension or 401K-style plans
Parental bonding leave (for both mothers and fathers)
Vacation and sick time, plus a Winter Holiday Shutdown every year
Pet insurance
A culture where you’ll belong, with investment in teams

Position Details

Location: San Francisco Bay Area, CA (hybrid)
Salary: USD 119,712 - 202,020 per yearly
Appointment type: Full-time, until September 29, 2028 term appointment with possibility of extension or conversion to Career appointment based on satisfactory performance, continuing availability of funds, and operational needs
Application timing: Priority consideration for applications submitted by November 20, 2026; applications accepted until the job posting is removed
Background check: Required; convictions are evaluated for direct relation to responsibilities and requirements
Work authorization: Must be eligible to work in the U.S. at time of hire; visa sponsorship not available
Relocation: Not eligible for relocation assistance
Union represented: Represented by a union for collective bargaining purposes

Work Modality

Substantial on-site presence required, with eligibility for flexible work mode
Hybrid work may be considered: on-site at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA plus some telework
Hybrid schedule requires residing within 150 miles of Berkeley Lab
Work schedules depend on business needs; in rare cases, full-time telework or remote work modes may be considered

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