ZipRecruiter

Log In

1

Pde Jobs (NOW HIRING)

Voltai, Inc

Computational Scientist

Palo Alto, CA · On-site

Develop and scale MPI+CUDA PDE solvers for electrostatics, charge transport, and electromagnetic field problems on complex 3D IC geometries across multi-node GPU clusters * Tune and extend AMG ...

Asurion

$92K - $114K/yr

About the Role The Senior Financial Analyst, FP&A - PDE&M supports financial planning, forecasting, and business partnership activities across Asurion's Product, Engineering, and Marketing ...

Meta

Industrial Design Architect (ME/PDE)

Seattle, WA · On-site

$144K - $204K/yr

Meta Reality Labs is shaping the future of technology and our Industrial Design team is helping bring the next generation of hardware to life. As an Industrial Design Architect, you will use your ...

previous pagenext page

Showing results 21-40

All JobsPde Jobs

Pde information

See salary details

$18

$33

$49

How much do pde jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for pde in the United States is $33.68, according to ZipRecruiter salary data. Most workers in this role earn between $27.64 and $41.35 per hour, depending on experience, location, and employer.

What is a PDE?

PDE stands for Partial Differential Equations, which are mathematical equations involving functions and their partial derivatives. A PDE specialist typically researches, analyzes, and solves these equations to model various phenomena in fields like physics, engineering, finance, and biology. Their work involves both theoretical analysis and computational methods to find solutions or approximate behavior of complex systems. PDE experts often contribute to scientific advancements, engineering designs, and simulation software development.

What are some common challenges faced by product development engineers when transitioning a product from prototype to mass production?

Product Development Engineers often encounter challenges when moving from prototype to mass production, such as ensuring the design is manufacturable at scale, maintaining quality and performance standards, and managing tight timelines. They must collaborate closely with manufacturing, quality assurance, and supply chain teams to resolve issues like material sourcing, process optimization, and cost control. Effective communication and problem-solving skills are crucial, as unexpected production hurdles can arise that require quick and innovative solutions.

What are the key skills and qualifications needed to thrive as a product development engineer, and why are they important?

To thrive as a Product Development Engineer, you need a strong background in engineering principles, product design, and problem-solving, typically supported by a relevant engineering degree. Familiarity with CAD software, prototyping tools, and knowledge of manufacturing processes are commonly required, along with certifications like Six Sigma or PMP being advantageous. Creativity, effective communication, and teamwork are vital soft skills for collaborating with cross-functional teams and driving innovation. These skills ensure the efficient creation of high-quality products that meet market needs and business objectives.

What is the difference between Pde vs Mechanical Engineer?

AspectPdeMechanical Engineer
Required CredentialsAssociate's or Bachelor's degree in drafting, CAD, or related fieldBachelor's degree in Mechanical Engineering
Work EnvironmentDesign offices, CAD labs, manufacturing settingsDesign, testing, manufacturing facilities, offices
Industry UsageConstruction, manufacturing, product designAutomotive, aerospace, robotics, manufacturing
Common Search/ComparisonYesYes

While Pde (Drafting Technician) focuses on creating detailed technical drawings and CAD models, Mechanical Engineers are involved in designing, analyzing, and developing mechanical systems. Both roles often collaborate but differ in education requirements and scope of work, with Mechanical Engineers typically holding higher-level responsibilities in engineering design and analysis.

More about Pde jobs

What cities are hiring for Pde jobs?

Cities with the most Pde job openings:

What states have the most Pde jobs?

States with the most job openings for Pde jobs include:

What job categories do people searching Pde jobs look for?

The top searched job categories for Pde jobs are:

Pde jobs near you
Infographic showing various Pde job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, 11% Part Time, and 4% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $70,060 per year, or $33.7 per hour.

Computational Scientist

Voltai, Inc

Palo Alto, CA • On-site

Full-time

Re-posted 18 days ago

Job description

About Voltai
Voltai is developing world models, and agents to learn, evaluate, plan, experiment, and interact with the physical world. We are starting out with understanding and building hardware; electronics systems and semiconductors where AI can design and create beyond human cognitive limits.
About the Team
Backed by Silicon Valley's top investors, Stanford University, and CEOs/Presidents of Google, AMD, Broadcom, Marvell, etc. We are a team of previous Stanford professors, SAIL researchers, Olympiad medalists (IPhO, IOI, etc.), CTOs of Synopsys & GlobalFoundries, Head of Sales & CRO of Cadence, former US Secretary of Defense, National Security Advisor, and Senior Foreign-Policy Advisor to four US presidents.
What You'll Work On
  • Develop and scale MPI+CUDA PDE solvers for electrostatics, charge transport, and electromagnetic field problems on complex 3D IC geometries across multi-node GPU clusters
  • Tune and extend AMG preconditioners, Krylov solvers, and mesh pipelines for performance and correctness at scale
  • Build and train neural operators (FNO, DeepONet, GNO, and variants) as high-fidelity surrogates for PDE-based field solvers
  • Design simulation pipelines that generate training data for neural operator models - including sampling strategies, mesh handling, and physical consistency checks
  • Validate everything: analytical solutions, published benchmarks, and cross-validation between field solvers and learned surrogates

Required
  • PhD in computational physics, applied mathematics, computational engineering, or a closely related field
  • Deep expertise in numerical PDE methods: FEM, FVM, or BEM - weak formulations, quadrature, convergence, error analysis
  • Strong C++ and CUDA - writing and optimizing kernels, memory hierarchy, multi-GPU programming
  • Multi-node HPC: MPI, domain decomposition, collective communication, strong/weak scaling
  • Sparse linear algebra at depth: Krylov methods, algebraic multigrid, preconditioning strategies
  • Hands-on experience with neural operators (FNO, DeepONet, or equivalent) - training, architecture design, and evaluation on PDE datasets
  • Solid understanding of AI for Science methodology: how to design datasets from simulations, handle out-of-distribution generalization, and ensure physical consistency of learned models

Strongly Preferred
  • Experience with HYPRE, PETSc, and Trilinos
  • Familiarity with multi-node GPU clusters: NCCL, CUDA-aware MPI, NVLink topologies
  • Published work in neural operators, physics-informed ML, or scientific HPC
  • IC design domain knowledge: device physics, semiconductor materials, layout data formats

Apply