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Full Time Parallel Programming Jobs (NOW HIRING)

$109.30K - $164K/yr

Strong skills in C++, version control systems, and parallel programming * Will contribute ... full-time employees designed to support both personal and professional well-being. In addition to ...

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SKILLED INDUSTRIAL ELECTRICIAN PARALLEL LUMBER GROUP Parallel33 Lumber Corporation TERMS: FULL TIME ... programming of PLC's (primarily Allen Bradley Controllogix) · Above average ability to repair and ...

Direct Hire/Full-time/Permanent Position Need only USC/GC Job Details: Responsibilities: Work in ... packages, parallel programming, multi-threading Good knowledge of important architectural ...

IT Manager

Los Angeles, CA · On-site

$102.40K - $125.50K/yr

Parallel Systems is pioneering autonomous battery-electric rail vehicles designed to transform ... You will report into the engineering organization and work primarily on-site at our California ...

IT Manager

Los Angeles, CA · On-site

$102.40K - $125.50K/yr

Parallel Systems is pioneering autonomous battery-electric rail vehicles designed to transform ... You will report into the engineering organization and work primarily on-site at our California ...

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Full Time Parallel Programming information

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$81K

$110.8K

$130K

How much do full time parallel programming jobs pay per year?

As of May 30, 2026, the average yearly pay for full time parallel programming in the United States is $110,762.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,500.00 and $119,500.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Parallel Programming vs Software Developer?

AspectFull Time Parallel ProgrammingSoftware Developer
Required CredentialsBachelor's in Computer Science or related, knowledge of parallel algorithmsBachelor's in Computer Science or related, coding skills
Work EnvironmentResearch labs, high-performance computing centers, tech companiesTech firms, startups, corporate IT teams
Industry UsageHigh-performance computing, scientific research, data processingWeb development, app creation, enterprise solutions
Common Search/ComparisonParallel programming roles, HPC programming jobsSoftware development careers, coding jobs

Full Time Parallel Programming focuses on developing software that leverages multiple processors simultaneously, often in scientific or data-intensive fields. Software Developers create a wide range of applications across industries. While both roles require programming skills, parallel programming emphasizes high-performance computing and specialized algorithms, whereas software development covers broader application development.

What cities are hiring for Full Time Parallel Programming jobs? Cities with the most Full Time Parallel Programming job openings:
What are the most commonly searched types of Parallel Programming jobs? The most popular types of Parallel Programming jobs are:
What states have the most Full Time Parallel Programming jobs? States with the most job openings for Full Time Parallel Programming jobs include:

Systems Research Engineer, GPU Programming

Together AI

San Francisco, CA • On-site

$160K - $230K/yr

Full-time

Medical

Posted 7 days ago


Job description

About the Role
As a Systems Research Engineer specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications. Working closely with the modeling and algorithm team, you will co-design GPU kernels and model architecture to enhance the performance and efficiency of our AI systems. Collaborating with the hardware and software teams, you will contribute to the co-design of efficient GPU architectures and programming models, leveraging your expertise in GPU programming and parallel computing. Your research skills will be vital in staying up-to-date with the latest advancements in GPU programming techniques, ensuring that our AI infrastructure remains at the forefront of innovation.
Requirements
  • Strong background in GPU programming and parallel computing, such as CUDA and/or Triton.
  • Knowledge of ML/AI applications and models
  • Knowledge of performance profiling and optimization tools for GPU programming
  • Excellent problem-solving and analytical skills
  • Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or equivalent practical experiences
Responsibilities
  • Optimize and fine-tune GPU code to achieve better performance and scalability
  • Collaborate with cross-functional teams to integrate GPU-accelerated solutions into existing software systems
  • Stay up-to-date with the latest advancements in GPU programming techniques and technologies
About Together AI
Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.
Compensation
We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Equal Opportunity
Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Please see our privacy policy at https://www.together.ai/privacy