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Parallel Jobs in Austin, TX (NOW HIRING)

Tenstorrent

Software Engineer, TT-Distributed

Austin, TX · On-site

$100K - $500K/yr

Design and build distributed APIs enabling data-parallel and tensor-parallel AI workloads. * Leverage MPI-based technologies and related frameworks to scale programming models across multiple hosts ...

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 ...

IBM

Delivery Consultant, GDPS

Austin, TX · On-site

Required : • Bachelor's Degree • Expertise in IBM Geographically Dispersed Parallel Sysplex (IBM GDPS ® ) IT Delivery • Expertise in IBM Z and Storage technology and products • Demonstrated ...

Dell, Inc.

Technical Staff-Storage Architect

Round Rock, TX · On-site

$230K - $292K/yr

Architect AI-optimized storage and data management solutions integrating optimized, scale-out file, object, and parallel filesystem SDS technologies.-optimized storage and data management solutions ...

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 ...

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 ...

Lorven Technologies

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 ...

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 ...

HonorVet Technologies

Business Analyst 3

Austin, TX · Hybrid

$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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All JobsParallel JobsParallel Jobs in Austin, TX

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See Austin, TX salary details

$24.8K

$51.9K

$89.8K

How much do parallel jobs pay per year?

As of Jun 14, 2026, the average yearly pay for parallel in Austin, TX is $51,948.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,700.00 and $59,000.00 per year, depending on experience, location, and employer.

Did the US lose 33,000 jobs in June?

The job title 'Parallel' does not relate directly to employment data; however, in June, the US economy added approximately 339,000 jobs according to the Bureau of Labor Statistics, so there was no loss of 33,000 jobs that month. Job reports are typically released monthly and include data on employment changes across various sectors.

How to make $2000 a week working from home?

To make $2000 a week working from home, individuals often pursue high-paying freelance roles, remote sales positions, or specialized consulting that leverage in-demand skills. Building a strong portfolio, gaining relevant certifications, and using online platforms can help increase earning potential, but consistent high income typically requires experience, skill, and dedication.

What are some 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 are parallel jobs?

Parallel jobs refer to tasks or processes that run simultaneously to improve efficiency and reduce completion time. In a work context, this often involves managing multiple projects or responsibilities at the same time, requiring strong organizational and multitasking skills.

What are the key skills and qualifications needed to thrive as a Parallel (Parallel Computing Engineer), and why are they important?

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.

How to make $10,000 a month without a degree?

To earn $10,000 a month in a role like a software developer or freelancer, focus on building specialized skills, gaining experience, and offering high-value services. Many high-paying jobs in tech, sales, or consulting do not require a degree but do require strong skills, certifications, or a proven track record, often involving remote work or flexible schedules.
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 June 2026, with employment types broken down into 80% Full Time, 18% Part Time, and 2% Contract. Highlights an 74% Physical, 6% Hybrid, and 20% Remote job distribution, with an average salary of $51,948 per year, or $25 per hour.

Software Engineer, TT-Distributed

Tenstorrent

Austin, TX • On-site

$100K - $500K/yr

Full-time

Posted 12 days ago

Job description

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.
As our TT-Distributed Software Engineer, you will develop and optimize distributed software systems that power the most efficient and highest-performing AI and HPC clusters. In this role, you'll work on distributed programming across multiple nodes, utilizing systems programming, inter-node communication, and Tenstorrent's scalable architectures to advance the state-of-the-art distributed inference and training infrastructure.
This role ishybrid, based out of Santa Clara, CA; Austin, TX; or Toronto, ON.
We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.
Who You Are
  • Strong C or C++ engineer with solid foundations in systems programming, operating systems, and distributed systems principles.
  • Enthusiastic about distributed computing, including IPC, socket programming, and cluster resource coordination.
  • Comfortable reasoning about scalability, fault tolerance, and performance across multi-node environments.
  • Curious and first-principles thinker who challenges conventional approaches to distributed system design.
  • Motivated to grow into a deep technical expert in large-scale distributed AI infrastructure.

What We Need
  • Architect, implement, and optimize distributed software systems that coordinate computation and communication across clusters of AI accelerators and CPUs.
  • Design and build distributed APIs enabling data-parallel and tensor-parallel AI workloads.
  • Leverage MPI-based technologies and related frameworks to scale programming models across multiple hosts and compute nodes.
  • Develop robust systems using IPC, inter-node sockets, and distributed communication primitives to ensure reliability and high performance.
  • Build and maintain testing, debugging, profiling, and monitoring tools for large-scale distributed workloads and collaborate with model and systems teams on cluster bring-up.

What You Will Learn
  • How large-scale distributed inference and training systems are architected across thousands of accelerators.
  • Advanced techniques in collective communication, synchronization, and parallel workload distribution.
  • The performance characteristics of Tenstorrent hardware in multi-node cluster environments.
  • How distributed programming models integrate with compilers, runtimes, and AI frameworks.
  • The real-world challenges of deploying, debugging, and scaling next-generation AI clusters.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.
Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.
This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

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