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Level Jax Jobs (NOW HIRING)

Mercor

MLOps Engineer - AI Specialist

New York, NY · Remote

$90 - $140/hr

... level topics . * Design challenging, domain-relevant tasks, and write accurate and well-structured ... Hands-on production experience with JAX and/or PyTorch at scale. * Experience writing or optimizing ...

Intelliswift Software

Sr. Java Developer

Pleasanton, CA · On-site

$63.75 - $81.25/hr

Expert level comfort in traversing the entire Java and Web stack: client-side through the ... Must have JEE 6 experience, including JPA, JAX-RS, JAX-WS, JMS * Expert in Java EE APIs including ...

Jax, LLC dba Golden Corral

Meat Cutter

Spartanburg, SC · On-site

$16 - $17/hr

Our franchise organization, Jax, LLC dba Golden Corral, is currently seeking energetic, friendly ... the production level. * Notifies the Manager of any discrepancies in product or equipment.

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All JobsLevel Jax Jobs

Level Jax information

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$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.
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What cities are hiring for Level Jax jobs? Cities with the most Level Jax job openings:
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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.
Senior Machine Learning Engineer, Runtime and Serving

Senior Machine Learning Engineer, Runtime and Serving

Waymo

Mountain View, CA • On-site, Remote

$213K - $263K/yr

Other

Posted 13 days ago

Job description

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

The ML Optimization team at Waymo provides a set of tools to support and automate the lifecycle of the machine learning workflow, including feature and experiment management, model development, optimization and monitoring. These efforts have resulted in making machine learning more accessible to teams at Waymo, including Perception, Planner, Research and Simulation.

We are looking for engineers with ML software & systems expertise to help build the next generation Waymo onboard ML inference engine for Waymo fundamental model. You'll work across the entire ML stack from the system perspective, from efficient deep learning models, model compression, ML software (e.g. JAX, XLA, Triton, and CUDA), to . You will be pleasantly challenged with deploying Waymo ML models on limited computation resources. In this hybrid role, you will report to the Senior Manager of Runtime and Optimization.

You will:

  • Architect and develop an efficient, high-performance ML runtime and serving system tailored for both onboard autonomous vehicle compute and large-scale, offboard data center environments.
  • Lead the integration and feature development for ML inference runtimes across both domains, balancing the strict real-time latency and memory constraints of onboard systems with the high-throughput, highly concurrent demands of offboard serving fleets.
  • Drive the strategic migration of ML workloads toward a JAX-native runtime architecture, which includes extending and modifying underlying ML compilers and runtimes (e.g., OpenXLA/PjRT, TensorRT).
  • Collaborate with world-class Waymo ML practitioners across perception, planner, and research to analyze system-level ML workloads and apply hardware-aware compute optimizations.
  • Design and build robust tooling for profiling, benchmarking, and identifying system-level bottlenecks across the end-to-end ML software stack.

You Have:

  • B.S. or M.S. in CS, EE, Deep Learning or a related field
  • 5+ years of professional software engineering experience focused on building, scaling, or maintaining ML systems and infrastructure.
  • 5+ years production programming in C++.
  • 3+ years of production experience in Python and major deep learning frameworks (e.g., PyTorch, JAX).
  • Experience optimizing ML software for hardware accelerators (e.g., GPUs, TPUs, custom silicon).
  • Experience building low-latency, highly concurrent distributed backend systems.

We Prefer

  • PhD in CS, EE, Deep Learning or a related field.
  • Experience modifying ML compilers, runtimes, or inference engines (e.g., TensorRT, ONNX Runtime, OpenXLA/PjRT, TVM).
  • Experience building or scaling LLM serving systems, including expertise in distributed inference and performance optimization (e.g., KV/prefix caching, continuous batching).
  • Experience with custom kernel development (e.g., CUDA/CUDA Tile, Triton, JAX/Pallas).
  • Experience architecting unified serving APIs and optimizing tensor buffer management (e.g., zero-copy data transfer, shared memory) for complex, multi-model inference pipelines.

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range
$213,000—$263,000 USD

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