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Parallel Jobs in Austin, TX (NOW HIRING)

Neurophos

Staff Compiler Engineer

Austin, TX · On-site

MLIR experience is a plus • Experience writing programs that parse, analyze, and mutate programs as abstract syntax trees • Experience in instrumenting and debugging parallel programs • ...

Intelliswift Software

Engineering PM

Austin, TX · On-site

To help drive different technology projects from initial request through implementation, qa and production role out and in parallel lead projects focused on internal infrastructure improvements 2. ...

NextSilicon

HPC Customer Solutions Engineer

Austin, TX · Remote

Working understanding of standards-based parallel programming models and languages such as MPI, OpenMP, CUDA, or OpenACC * Familiarity with HPC software stack components including LLVM compilers and ...

New

Neurophos Inc

Firmware Engineer

Austin, TX · On-site

$125K - $150K/yr

Parallel Debugging: Experience debugging parallel and asynchronous programs (strongly preferred) * Real-Time Systems: Experience with bare metal programming and RTOS (FreeRTOS, Zephyr, or similar ...

Neurophos

Firmware Engineer

Austin, TX · On-site

$110 - $150/hr

Parallel Debugging: Experience debugging parallel and asynchronous programs (strongly preferred) * Real-Time Systems: Experience with bare metal programming and RTOS (FreeRTOS, Zephyr, or similar ...

Nvidia

Senior Developer Technology Engineer - AI

Austin, TX · Hybrid

$54 - $71.25/hr

Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures? Is it rewarding to investigate, find, and eliminate system bottlenecks to achieve the ...

NextSilicon

HPC Customer Solutions Engineer

Austin, TX · On-site +1

Working understanding of standards-based parallel programming models and languages such as MPI, OpenMP, CUDA, or OpenACC * Familiarity with HPC software stack components including LLVM compilers and ...

Mirantis

Technical Product Manager, AI Storage

Austin, TX

$165K - $191K/yr

You will shape how k0rdent AI reasons about parallel file systems (Lustre, GPFS, BeeGFS, WEKA, VAST, DAOS), S3-compatible object stores for training data and checkpoints, automated tiering between ...

Mirantis

Technical Product Manager, AI Storage

Austin, TX · On-site

$165K - $191K/yr

You will shape how k0rdent AI reasons about parallel file systems (Lustre, GPFS, BeeGFS, WEKA, VAST, DAOS), S3-compatible object stores for training data and checkpoints, automated tiering between ...

Mirantis

Technical Product Manager, AI Storage

Austin, TX · On-site +1

$165K - $191K/yr

You will shape how k0rdent AI reasons about parallel file systems (Lustre, GPFS, BeeGFS, WEKA, VAST, DAOS), S3-compatible object stores for training data and checkpoints, automated tiering between ...

PROLIM Global Corporation

Business Analyst 3

Austin, TX · On-site

$43.25 - $59.75/hr

Formulates systems to parallel overall business strategies. Experienced with business process reengineering and identifying new applications of technology to business problems to make business more ...

PROLIM Global Corporation

Business Analyst 3

Austin, TX · On-site

$43.25 - $59.75/hr

Formulates systems to parallel overall business strategies. Experienced with business process reengineering and identifying new applications of technology to business problems to make business more ...

Prolim Global

Business Analyst 3

Austin, TX · On-site

$43.25 - $59.75/hr

Formulates systems to parallel overall business strategies. Experienced with business process reengineering and identifying new applications of technology to business problems to make business more ...

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Showing results 21-40

All JobsParallel JobsParallel Jobs in Austin, TX

Parallel information

See Austin, TX salary details

$24.8K

$51.9K

$89.7K

How much do parallel jobs pay per year?

As of Aug 7, 2026, the average yearly pay for parallel in Austin, TX is $51,900.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,600.00 and $59,000.00 per year, depending on experience, location, and employer.

What are common challenges faced by professionals working in parallel computing roles, and how can they be addressed?

Professionals in parallel computing roles often encounter challenges such as debugging complex, concurrent code and optimizing performance across multiple processors. These issues require a solid understanding of parallel algorithms and experience with tools designed for performance profiling and debugging. Collaboration with team members is essential, as projects typically involve working closely with software engineers, system architects, and hardware specialists. To address these challenges, it's helpful to stay current with best practices, participate in code reviews, and leverage community resources and documentation.

What is the difference between Parallel vs Network Engineer?

AspectParallelNetwork Engineer
Required CertificationsCompTIA A+, Cisco CCNA, Network+CCNA, CCNP, CompTIA Network+
Work EnvironmentData centers, server rooms, cloud environmentsCorporate offices, data centers, ISPs
Industry UsageIT, cloud services, data managementTelecommunications, IT, enterprise networks
Common Search/ComparisonParallel vs Network Engineer

Parallel and Network Engineer roles share similar certifications and work environments, often overlapping in IT and data management sectors. However, Parallel roles focus more on parallel processing and computing tasks, while Network Engineers specialize in designing and maintaining network infrastructure. Understanding these differences helps job seekers identify the right career path based on their skills and interests.

What is a parallel?

In the context of computing and technology, 'Parallel jobs' refer to tasks or processes that are executed simultaneously across multiple processors or computers. This approach is commonly used in high-performance computing (HPC), data processing, and scientific research to speed up complex computations by breaking them into smaller, concurrent tasks. Parallel jobs can significantly reduce the time required to process large datasets or perform intensive calculations. They are managed using parallel computing frameworks and often require specialized software and hardware to coordinate the execution of multiple processes. Understanding how to design and manage parallel jobs is essential for roles in data science, engineering, and research fields.

What skills and qualifications are needed to thrive as a parallel?

To thrive as a Parallel Computing Engineer, you need a strong background in computer science, mathematics, and parallel algorithms, often supported by a relevant degree. Proficiency with parallel programming languages (such as CUDA, OpenMP, or MPI), high-performance computing (HPC) clusters, and debugging tools is essential. Strong analytical thinking, collaborative teamwork, and effective problem-solving skills help you stand out in this field. These skills are vital for optimizing computational processes and ensuring efficient, scalable solutions in complex computing environments.
What cities near Austin, TX are hiring for Parallel jobs? Cities near Austin, TX with the most Parallel job openings:
Parallel jobs near you
Infographic showing various Parallel job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution, with an average salary of $51,900 per year, or $25 per hour.

Staff Compiler Engineer

Neurophos

Austin, TX • On-site

Full-time

Re-posted 8 days ago

Job description

Job Summary:
Neurophos is an innovative startup focused on redefining the future of AI hardware through the use of silicon photonics. The Staff Compiler Engineer will lead the development of compilers for their novel LLM accelerator architecture, bridging high-level AI workloads with custom hardware to enhance performance.
Responsibilities:
• Design and implement toolchains for our custom LLM accelerator architecture
• Develop optimization strategies that bridge software algorithms to hardware implementations
• Design and implement custom compiler components, including IR dialects, graph transformations, and lowering passes
• Optimize computational graphs and memory access patterns for our hardware architecture
• Integrate with existing ML frameworks (e.g., PyTorch, JAX, Triton)
• Build and maintain test infrastructure to ensure compiler correctness and performance
Qualifications:
Required:
• Master's degree in Computer Science or related field
• 5+ years of experience in compiler development
• Expert-level proficiency in Python and C
• Experience with hardware compilers
• Familiarity with Large Language Model architectures and their computational requirements
• Hands-on experience with compiler frameworks and code optimization techniques
• Deep understanding of computer architecture, memory hierarchies, and parallel computing concepts
• Experience with AI/ML accelerators (GPUs, TPUs, FPGAs) and their programming models
Preferred:
• PhD in Computer Science or related field
• 10+ years of industry experience
• Strong background in graph theory and graph transformations in a compiler or optimization context; MLIR experience is a plus
• Experience writing programs that parse, analyze, and mutate programs as abstract syntax trees
• Experience in instrumenting and debugging parallel programs
• Experience with structured, human-supervised AI/agentic coding workflows
• Experience with LLM quantization techniques and model optimization
• Experience with high-performance computing and low-latency system design
• Familiarity with deep learning frameworks and neural network optimization
Company:
Neurophos develops photonic AI processing technology that focuses on hardware solutions for accelerating artificial intelligence inference. Founded in 2020, the company is headquartered in Austin, USA, with a team of 51-200 employees. The company is currently Early Stage.

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