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Temporary Software Engineer Gpu Jobs in Riverside, CA

Strong programming skills in C/C++, Python required, with experience in embedded software ... Experience with hardware-software integration and optimization for embedded systems, including GPU ...

Strong programming skills in C/C++, Python required, with experience in embedded software ... Experience with hardware-software integration and optimization for embedded systems, including GPU ...

Strong programming skills in C/C++, Python required, with experience in embedded software ... Experience with hardware-software integration and optimization for embedded systems, including GPU ...

Strong software engineering fundamentals and experience writing robust, production-quality C++ . * Experience with CUDA and GPU optimization is highly desirable. * Background in autonomous vehicles ...

Senior Perception Engineer

Irvine, CA · On-site

$160K - $1M/yr

Strong software engineering fundamentals and experience writing robust, production-quality C++ . * Experience with CUDA and GPU optimization is highly desirable. * Background in autonomous vehicles ...

Senior Perception Engineer

Irvine, CA · On-site

$160K - $1M/yr

Strong software engineering fundamentals and experience writing robust, production-quality C++ . * Experience with CUDA and GPU optimization is highly desirable. * Background in autonomous vehicles ...

Showing results 41-60

Temporary Software Engineer Gpu information

See Riverside, CA salary details

$66.2K

$153.9K

$214.4K

How much do temporary software engineer gpu jobs pay per year?

As of Sep 7, 2026, the average yearly pay for temporary software engineer gpu in Riverside, CA is $153,907.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,200.00 and $180,500.00 per year, depending on experience, location, and employer.

What does a temporary software engineer GPU do?

A Temporary Software Engineer GPU is responsible for designing, developing, and optimizing software that interacts with graphics processing units (GPUs), typically for a specific project or short-term period. Their duties may include writing code to improve GPU performance, working on graphics or compute-intensive applications, and collaborating with hardware and software teams to ensure efficient GPU utilization. These roles are often contract-based and require strong programming skills in languages such as C++ or CUDA, as well as a solid understanding of GPU architectures.

What are the typical projects a temporary software engineer GPU might work on, and how do they collaborate with permanent team members?

As a Temporary Software Engineer GPU, you can expect to be assigned to specific, time-bound projects such as optimizing graphics performance, supporting new hardware integration, or debugging GPU-related issues. You’ll often work closely with permanent engineers, participating in code reviews, daily stand-ups, and cross-functional meetings to ensure alignment and knowledge transfer. Collaboration is key, as you may need to quickly get up to speed with existing codebases and tools, and contribute solutions that fit seamlessly into larger, ongoing projects. The role offers a fast-paced environment where adaptability and strong communication skills are highly valued.

What are the key skills and qualifications needed to thrive as a temporary software engineer GPU, and why are they important?

To thrive as a Temporary Software Engineer GPU, you need a solid background in computer science, experience with GPU programming (such as CUDA or OpenCL), and proficiency in languages like C++ or Python. Familiarity with GPU development environments, debugging tools, and version control systems, along with any relevant certifications, is highly valuable. Strong problem-solving abilities, adaptability, and effective teamwork skills help set candidates apart in this fast-evolving field. These skills enable efficient development, optimization, and integration of GPU-accelerated applications, which is crucial for meeting project deadlines and technical goals.

What are the most commonly searched types of Software Engineer Gpu jobs in Riverside, CA?

The most popular types of Software Engineer Gpu jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Temporary Software Engineer Gpu jobs?

Cities near Riverside, CA with the most Temporary Software Engineer Gpu job openings:

Computational Aeroelasticity Developer

Cadence Design Systems Inc.

Irvine, CA • Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 15 days ago


Key responsibilities

  • Contribute to the development, verification, validation, and deployment of advanced aeroelastic simulation capabilities.

  • Support the development of simulation technologies for high-speed and hypersonic vehicle applications, including hypersonic aerodynamics, aerothermodynamics, and shock-wave interactions.

  • Collaborate with structural dynamics, CFD, and multiphysics teams to build integrated simulation workflows.


Cadence Design Systems rating

9.0

Company rating: 9.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

34th of 247 rated software companies


Job description

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

Computational Aeroelasticity Software Developer (Early Career)

Position Overview

Cadence Design Systems is seeking a highly motivated Computational Aeroelasticity Software Developer to contribute to the development of next-generation aeroelastic and aerothermoelastic simulation technologies spanning subsonic through hypersonic flight applications. This role is ideal for a recent Ph.D. graduate, postdoctoral researcher, or early-career engineer with research experience in computational aeroelasticity, multidisciplinary simulation, scientific computing, or related fields.

The successful candidate will work with senior MSC Nastran developers to develop, validate, and commercialize advanced simulation methods used by aerospace, defense, and space organizations worldwide.

Key Responsibilities

Computational Aeroelasticity & Aerothermoelasticity Development

Contribute to the development, verification, validation, and deployment of advanced aeroelastic simulation capabilities, including:

Low-Fidelity Methods

  • Panel methods, Doublet Lattice Method (DLM), and Vortex Lattice Method (VLM)
  • Generalized aerodynamic force generation
  • Linearized and frequency-domain aerodynamic modeling

Medium-Fidelity Methods

  • Hybrid CFD-panel methodologies
  • Reduced-order and surrogate modeling
  • Transonic correction techniques
  • Time-domain aeroelastic formulations
  • Flexible vehicle dynamic simulation methods

High-Fidelity Methods

  • CFD-based aeroelasticity using Euler and Navier-Stokes solvers
  • Fluid-structure interaction (FSI) and CFD-CSD coupling
  • Nonlinear aeroelasticity and aerothermoelasticity
  • High-speed and hypersonic aeroelastic analysis

Support the development of solutions for:

  • Static and dynamic aeroelasticity
  • Flutter prediction
  • Divergence and control reversal
  • Gust response and aeroservoelasticity
  • Buffet response and limit-cycle oscillations
  • Nonlinear aeroelastic behavior

Work with senior technical staff to transition advanced research concepts into production-quality commercial software.

Hypersonic & High-Speed Flight Simulation

Contribute to the development of simulation technologies for high-speed and hypersonic vehicle applications, including:

  • Hypersonic aerodynamics and aerothermodynamics
  • Shock-wave/boundary-layer interactions
  • Thermal-structural coupling and aerothermoelasticity
  • High-temperature flight environments
  • Flight stability and control at high Mach numbers

Participate in the implementation and validation of numerical methods such as:

  • Piston theory
  • Supersonic and hypersonic aerodynamic methods
  • Shock-expansion techniques
  • Reduced-order models
  • CFD-based aeroelastic methodologies

Prior research experience in one or more of these areas is highly desirable.

Multidisciplinary Simulation & Structural Dynamics

Collaborate with structural dynamics, CFD, and multiphysics development teams to build integrated simulation workflows.

Contribute to:

  • Modal analysis and structural dynamics
  • Dynamic response analysis
  • Eigenvalue extraction methods
  • Coupled aerodynamic-structural simulations
  • Thermal stress and buckling analyses
  • Large-scale finite element modeling

Support applications involving:

  • Commercial and military aircraft
  • Rotorcraft and UAVs
  • Hypersonic vehicles
  • Space and launch systems
  • Advanced aerospace and defense platforms

Scientific Software Development

Develop robust and scalable commercial software capabilities, including:

  • Numerical algorithms and solver development
  • Scientific software architecture
  • APIs and workflow automation
  • Multiphysics integration frameworks
  • Verification and validation methodologies
  • Automated testing and continuous integration practices

Participate in the full software development lifecycle from research prototype to commercial product deployment.

High-Performance Computing

Contribute to the development and optimization of scalable simulation technologies using:

  • Parallel computing concepts
  • MPI, OpenMP, GPU, or accelerator technologies
  • Cloud and distributed computing environments

Optimize algorithms for large-scale engineering simulations and advanced aerospace workflows. Prior experience is beneficial but not required.

Customer & Industry Engagement

Work with technical experts, product teams, and customers to:

  • Understand aerospace simulation requirements
  • Support technical demonstrations

Required Qualifications

General

US person status satisfying U.S. export control requirements as defined by the International Traffic in Arms Regulations (ITAR) and Export Administration Regulations (EAR)

Education

  • Ph.D. with outstanding research experience in Aerospace Engineering, Mechanical Engineering, Applied Mechanics, Computational Engineering, or a related field.
  • Research specialization in computational aeroelasticity, aerodynamics, CFD, structural dynamics, or multidisciplinary simulation.

Experience

  • 0-5 years of industrial experience, or equivalent graduate/postdoctoral research experience.
  • Demonstrated research experience in aeroelasticity spanning low to high speed flight regimes.
  • Experience developing research software, computational tools, or numerical simulation capabilities.
  • Ability to translate research concepts into practical engineering solutions.
  • Record of technical publications, research projects, or thesis work in relevant areas.

Technical Skills

Aerodynamics

  • Knowledge of potential flow methods, panel methods, DLM, or VLM
  • Understanding of subsonic, transonic, supersonic, or hypersonic aerodynamics
  • Familiarity with CFD fundamentals and numerical methods

Aeroelasticity

  • Coursework or research in flutter, dynamic aeroelasticity, gust response, or aeroservoelasticity
  • Familiarity with aeroelastic modeling and reduced-order methods
  • Exposure to aerothermoelasticity or high-speed aeroelasticity is a plus

Structural Dynamics & FEA

  • Modal analysis and structural dynamics fundamentals
  • Finite element methods and numerical analysis
  • Dynamic response and eigenvalue analysis

Software Development

  • Programming experience in C++ and Python.
  • Experience developing scientific or engineering software
  • Knowledge of software engineering best practices

High-Performance Computing

  • Familiarity with parallel computing concepts
  • Exposure to MPI, OpenMP, CUDA, GPU computing is desirable

Professional Skills

  • Strong analytical and problem-solving abilities
  • Passion for computational engineering and simulation technology
  • Ability to learn new technical domains quickly
  • Excellent written and verbal communication skills
  • Ability to work effectively in multidisciplinary teams
  • Customer-focused mindset with strong collaboration skills

Preferred Qualifications

  • Ph.D. research focused on computational aeroelasticity, aerothermoelasticity, CFD, structural dynamics, or hypersonics
  • Publications in recognized aerospace journals or conferences
  • Experience with commercial or research simulation tools such as MSC Nastran, Abaqus, ZAERO, FUN3D, SU2, SCFLOW, Fidelity, Charles, Fluent, STAR-CCM+, CFD++, or equivalent
  • Experience with multidisciplinary design optimization (MDO)
  • Experienced in leveraging AI for development
  • Reduced-order modeling techniques
  • Experience with HPC environments and large-scale simulations
  • Participation in collaborative research programs with aerospace organizations, government laboratories, or universities

The annual salary range for California is $98,000 to $182,000. You may also be eligible to receive incentive compensation: bonus, equity, and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the salary range is a guideline and compensation may vary based on factors such as qualifications, skill level, competencies and work location. Our benefits programs include: paid vacation and paid holidays, 401(k) plan with employer match, employee stock purchase plan, a variety of medical, dental and vision plan options, and more.

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