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Level Jax Jobs (NOW HIRING)

Nvidia

Senior Software Engineer, JAX

Santa Clara, CA

$143K - $189K/yr

Design and implement JAX core components and drive peak performance on NVIDIA products. * Work with ... The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for ...

Nvidia

OR · On-site

$122K - $161K/yr

Design and implement JAX core components and drive peak performance on NVIDIA products. * Work with ... The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for ...

NVIDIA

Senior Software Engineer, JAX

Santa Clara, CA

$142K - $188K/yr

Design and implement JAX core components and drive peak performance on NVIDIA products. * Work with ... The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for ...

JAX Mercantile Co.

Part Time Cashier [JBR]

Broomfield, CO · On-site

$15.16 - $16.25/hr

Help Jax make every visitor feel welcome in your role as a Cashier at our Jax Outdoor Gear Farm and ... Sustaining a level of enthusiasm and engagement through a work shift * Comfortable and clear ...

JAX Mercantile Co.

Part Time Cashier [JBR]

Broomfield, CO · On-site

$15.16 - $16.25/hr

Help Jax make every visitor feel welcome in your role as a Cashier at our Jax Outdoor Gear Farm and ... Sustaining a level of enthusiasm and engagement through a work shift * Comfortable and clear ...

Bil-Jax Haulotte

Finance Controller

Archbold, OH

At Haulotte Bil-Jax , we're proud to be a manufacturing facility specializing in aerial work ... This position requires someone who can effectively analyze transactional-level financial data ...

Sciforium

GPU Kernel Engineer

San Francisco, CA · On-site

$190K - $250K/yr

Integrate low-level GPU kernels into frameworks such as PyTorch, JAX, and custom internal runtimes. * Develop performance models, identify bottlenecks, and deliver kernel-level improvements that ...

Cambridge Management, Inc.

Porter - JAX

Jacksonville, FL · On-site

$14.50 - $16.50/hr

Groundskeepers contribute to community retention efforts by taking initiative in maintaining community appearance and always providing the highest level of customer service. Requirements. Essential ...

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All JobsLevel Jax Jobs

Level Jax information

See salary details

$11K

$86.7K

$113K

How much do level jax jobs pay per year?

As of Jun 12, 2026, the average yearly pay for level jax in the United States is $86,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $107,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Level Jax, and why are they important?

I'm sorry, but 'Level Jax' does not appear to be a recognized real-world professional occupation, so I cannot provide an answer for this job title.

What are some common challenges faced by Level Designers at Jax, and how can they be addressed?

Level Designers at Jax often face the challenge of balancing creative vision with technical constraints, such as performance optimization and adherence to gameplay requirements. Collaboration with artists, programmers, and game designers is essential, as feedback and iteration are integral parts of the development process. To address these challenges, clear communication, openness to constructive criticism, and staying up-to-date with industry tools and workflows are key. Being proactive in seeking feedback and regularly playtesting levels can lead to more polished and engaging game environments.

What is the difference between Level Jax vs Network Technician?

AspectLevel JaxNetwork Technician
Required CertificationsCompTIA Network+, Cisco CCNACompTIA Network+, Cisco CCNA
Work EnvironmentData centers, corporate IT departmentsTelecommunications companies, IT support teams
Industry UsageIT, telecommunications, networkingIT, telecommunications, networking

Both Level Jax and Network Technicians require similar certifications like CompTIA Network+ and Cisco CCNA. They often work in data centers, corporate IT, or telecom environments. The main difference lies in specific job roles and responsibilities, with Level Jax typically focusing on more advanced network infrastructure tasks, while Network Technicians handle routine maintenance and troubleshooting.

What are Level Jax jobs?

Level Jax jobs typically refer to positions offered by Level Jax, a gaming lounge and esports center located in Jacksonville, Florida. These roles may include game attendants, event coordinators, customer service representatives, and technical support staff. Employees help manage gaming events, assist customers with equipment, and ensure a fun and safe environment for gamers of all ages. Working at Level Jax often requires strong communication skills, a passion for gaming, and the ability to work flexible hours. The company may also offer opportunities for advancement in the growing esports and gaming industry.
More about Level Jax jobs
What cities are hiring for Level Jax jobs? Cities with the most Level Jax job openings:
What states have the most Level Jax jobs? States with the most job openings for Level Jax jobs include:
What job categories do people searching Level Jax jobs look for? The top searched job categories for Level Jax jobs are:
Level Jax jobs near you
Infographic showing various Level Jax job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $86,666 per year, or $41.7 per hour.

Distributed Training and Inference Engineer

Sciforium

San Francisco, CA • On-site

$190K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 21 days ago

Job description

Sciforium is an AI infrastructure company developing next-generation multimodal AI models and a proprietary, high-efficiency serving platform. Backed by multi-million-dollar funding and direct sponsorship from AMD with hands-on support from AMD engineers the team is scaling rapidly to build the full stack powering frontier AI models and real-time applications.
About the role
Sciforium is seeking a highly skilled Distributed Training and Inference Engineer to build, optimize, and maintain the critical software stack that powers our large-scale AI training and serving workloads. In this role, you will work across the entire machine learning infrastructure from low-level CUDA/ROCm runtimes to high-level frameworks like JAX and PyTorch to ensure our distributed training systems are fast, scalable, stable, and efficient.
This position is ideal for someone who loves deep systems engineering, debugging complex hardware-software interactions, and optimizing performance at every layer of the ML stack. You will play a pivotal role in enabling the training and deployment of next-generation LLMs and generative AI models.
What you'll do
  • Software Stack Maintenance: Maintain, update, and optimize critical ML libraries and frameworks including JAX, PyTorch, CUDA, and ROCm across multiple environments and hardware configurations.
  • End-to-End Stack Ownership: Build, maintain, and continuously improve the entire ML software stack from ROCm/CUDA drivers to high-level JAX/PyTorch tooling.
  • Distributed System Optimization: Ensure all model implementations are efficiently sharded, partitioned, and configured for large-scale distributed training and serving.
  • System Integration: Continuously integrate and validate modules for runtime correctness, memory efficiency, and scalability across multi-node GPU/accelerator clusters.
  • Profiling & Performance Analysis: Conduct detailed profiling of compilation graphs, training workloads, and runtime execution to optimize performance and eliminate bottlenecks.
  • Debugging & Reliability: Troubleshoot complex hardware-software interaction issues, including vLLM compilation failures on ROCm, CUDA memory leaks, distributed runtime failures, and kernel-level inconsistencies.
  • Collaborate with research, infrastructure, and kernel engineering teams to improve system throughput, stability, and developer experience.

Ideal candidate profile
  • 5+ years of industry experience in ML systems, distributed training, or related fields.
  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or related technical fields.
  • Strong programming experience in Python, C++, and familiarity with ML tooling and distributed systems.
  • Deep understanding of profiling tools (e.g., Nsight, ROCm Profiler, XLA profiler, TPU tools).
  • Deep expertise with partitioning configuration on the modern ML frameworks such as PyTorch and JAX.
  • Experience with multi-node distributed training systems and orchestration frameworks (DTensor, GSPMD, etc.).
  • Hands-on experience maintaining or building ML training stacks involving CUDA, ROCm, NCCL, XLA, or similar technologies.

Nice-to-have
  • Extensive experience with the XLA/JAX stack, including compilation internals and custom lowering paths.
  • Familiarity with distributed serving or large-scale inference frameworks (e.g., vLLM, TensorRT, FasterTransformer).
  • Background in GPU kernel optimization or accelerator-aware model partitioning.
  • Strong understanding of low-level C++ building blocks used in ML frameworks (e.g., XLA, CUDA kernels, custom ops).

Benefits include
  • Medical, dental, and vision insurance
  • 401k plan
  • Daily lunch, snacks, and beverages
  • Flexible time off
  • Competitive salary and equity

Equal opportunity
Sciforium is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

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