High Performance Computing Engineer
Core
Design, implement, and optimize algorithms for large-scale discrete optimization problems (scheduling, logistics, resource allocation) using operations research, advanced mathematical programming, and quantum computing technologies.
Role type
Senior IC High Performance Computing Engineer (Optimization & Quantum)
Builds
Scalable optimization solvers and pipelines for data-driven systems
Domain
Operations Research, Quantum Computing, High Performance Computing
Deliverable
production ML models (via careerplan.io/jobs/563499732856262-high-performance-computing-engineer-at-slb)
Required skills
Discrete optimization, Linear/Quadratic programming, Heuristic/metaheuristic algorithms, Quantum computing (annealing/gate model), HPC/Distributed computing, Python/C++/Julia, Solver technologies (CPLEX/Gurobi)
Preferred skills
Cross-platform optimization APIs, Hybrid quantum-classical workflows, Published research, Domain-specific optimization (supply chain/logistics)
Responsibilities
Design and optimize algorithms for scheduling, logistics, and resource allocation; Develop heuristic and metaheuristic approaches for non-convex problems; Leverage HPC environments to scale problem-solving; Utilize quantum computing hardware for modeling and benchmarking; Collaborate with data scientists and engineers to integrate solutions; Conduct performance analysis and benchmarking of optimization pipelines.
Seniority
Senior, hands-on IC
