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Qat Jobs (NOW HIRING)

Goli Tech

Business Analyst 5

Eureka, MI · On-site

Responsible for adhering to the project schedule by developing test cases and completing Quatlity Assurance Testing (QAT) in accordance with the schedule. * Responsible for working with User ...

EnCharge AI

$175K - $245K/yr

Research and develop quantization-aware training (QAT) and post-training quantization (PTQ) techniques for deep learning models. * Implement low-bit precision optimizations (e.g., INT8, BF16)

Tachyon Technologies

Sr. ODI Developer

Seattle, WA · On-site

Troubleshoot and resolve QAT and production issues. * Good documentation skills for preparing installation, configuration and deployment steps. * Web/Data Service in ODI (Inbound & Lookup)

JCB North America

Inspector - Fabrication

Pooler, GA · On-site

The QAT is responsible for identifying defects, analyzing data, and driving corrective actions to improve product quality, reduce waste, and support continuous improvement initiatives in a high ...

JCB North America

Inspector

Pooler, GA · On-site

The QAT is responsible for identifying defects, analyzing data, and driving corrective actions to improve product quality, reduce waste, and support continuous improvement initiatives in a high ...

Ahold Delhaize

PT Produce Sales Associate (236768)

Hampton, SC · On-site

$12.75 - $17.25/hr

We are committed to the professional development of our associates through on-the-job learning opportunities and training. qAt Food Lion, Associates are the most important assets to our organization.

jcb

Inspector

Pooler, GA · On-site

The QAT is responsible for identifying defects, analyzing data, and driving corrective actions to improve product quality, reduce waste, and support continuous improvement initiatives in a high ...

jcb

Inspector - Fabrication

Pooler, GA · On-site

The QAT is responsible for identifying defects, analyzing data, and driving corrective actions to improve product quality, reduce waste, and support continuous improvement initiatives in a high ...

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All JobsQat Jobs

Qat information

See salary details

$28K

$62.3K

$97.5K

How much do qat jobs pay per year?

As of Aug 26, 2026, the average yearly pay for qat in the United States is $62,323.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $73,000.00 per year, depending on experience, location, and employer.

What is a QAT?

Qat, also known as khat, is not a job title but rather a plant native to East Africa and the Arabian Peninsula. The leaves of the qat plant are chewed for their stimulant effects, which can produce feelings of euphoria and increased alertness. While qat plays a significant social and cultural role in some countries, especially Yemen and parts of East Africa, it is considered a controlled or illegal substance in many other nations due to its psychoactive properties. There is no recognized occupation specifically called 'Qat.' If you are referring to a different job title, please provide more context or check for possible misspellings.

What are the key skills and qualifications needed to thrive as a Quality Assurance Tester?

To thrive as a Quality Assurance Tester, you need a strong understanding of software development processes, attention to detail, and familiarity with testing methodologies, often supported by a degree in computer science or a related field. Proficiency with tools like Selenium, Jira, and test case management systems, as well as ISTQB certification, is typically expected. Strong analytical thinking, communication, and problem-solving skills set exceptional QA testers apart. These abilities are crucial for identifying defects, ensuring software reliability, and facilitating smooth collaboration within development teams.

What are some common challenges faced by QAT professionals when collaborating with development teams?

QAT professionals often face the challenge of ensuring clear communication with developers, especially when reporting bugs or clarifying requirements. Misunderstandings can arise if test cases are not aligned with the intended functionality, leading to delays in resolving issues. Additionally, balancing thorough testing within tight project deadlines can be demanding. Successful QATs proactively engage with developers through regular meetings, detailed documentation, and constructive feedback to foster a collaborative and efficient workflow.

What is the difference between Qat vs Barista?

AspectQatBarista
Required CredentialsNone specific, cultural knowledgeFood safety certification, barista training
Work EnvironmentSocial, informal settings, often in Middle Eastern regionsCoffee shops, cafes, fast-paced environment
Employer & Industry UsageCommon in Middle Eastern markets, social gatheringsGlobal hospitality industry, retail food service
Search & Comparison IntentUnderstanding cultural or traditional practicesJob opportunities, skills required in coffee service

Qat and Barista are distinct roles with different cultural and industry contexts. Qat involves the social practice of chewing or offering qat leaves, mainly in Middle Eastern cultures, requiring cultural knowledge. Baristas work in coffee shops, focusing on beverage preparation and customer service, often needing specific training. While both are roles within social or service environments, they serve different purposes and industries.

More about Qat jobs

What job categories do people searching Qat jobs look for?

The top searched job categories for Qat jobs are:

Qat jobs near you
Infographic showing various Qat job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 4% Part Time, and 7% Contract. Highlights an 92% Physical, 4% Hybrid, and 4% Remote job distribution, with an average salary of $62,323 per year, or $30 per hour.

Staff Machine Learning Engineer - LLM Quantization & Deployment

Santa Clara, CA • On-site

XPENG
See more jobs at XPENGexternal

Full-time

Posted 13 days ago

Job description

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.
 
Our mission is to build strong foundation for LLM deployment and quality sign-off for next-gen XPENG Turing AI chip. This includes and is not limited to: LLM model fine tuning, PTQ, QAT, on-vehicle inference and related fields.
 
Key Responsibilities
  • Develop VLA inference models, ensure numerical consistency with training models, and productionize LLM quantization methods, including PTQ, QAT, mixed-precision inference, INT8, FP4, and lower-bit techniques.
  • Develop production-quality Python code with strong testing, observability, reproducibility, and failure handling.
  • Build robust model export, calibration, benchmarking, validation, and deployment pipelines.
  • Engage early with the VLA model research team to establish performance estimates and prove model feasibility.
  • Curate evaluation datasets and establish a comprehensive metric suite to systematically benchmark VLA performance.
  • Analyze numerical errors, accuracy regressions, and performance trade-offs.
  • Develop PTQ and QAT orchestration workflows.
  • Serve as the primary interface with field-testing and simulation teams for issue triage and autonomous driving performance sign-off.
  • Collaborate with the in-vehicle software team on latency analysis and issue triage.
  • Collaborate with the training infrastructure team to develop QAT and model distillation.
Basic Qualifications
  • Master in CS/CE/EE, or equivalent, with 3-5 years of industry experience.
  • Strong understanding of Transformer architectures and LLM inference.
  • Hands-on experience quantizing or deploying deep learning models in production.
  • Proficiency with PyTorch and at least one inference or compilation stack.
  • Strong Python programming and software engineering skills.
  • Ability to work effectively across research, systems, infrastructure, and product teams.
  • Excellent communication and problem-solving skills, with the ability to thrive in a fast-paced and collaborative environment.
Preferred Qualifications
  • Experience with weight-only, activation, KV-cache, dynamic, static, or mixed-precision quantization.
  • Experience with AWQ, GPTQ, SmoothQuant, or related methods.
  • Strong numerical analysis and systems engineering skills.
  • Experience with one or more LLM runtimes, such as TensorRT-LLM, vLLM, SGLang, llama.cpp, ONNX Runtime, TVM, MLIR, or custom runtimes.
  • Experience deploying LLMs on resource-constrained or heterogeneous hardware.
  • Contributions to model optimization, inference, compiler, or serving projects.
  • Publications at NeurIPS, ICML, ICLR, ACL, or related conferences.
What We Provide
  • A fun, supportive and engaging environment.
  • Infrastructures and computational resources to support your work.
  • Opportunity to work on cutting edge technologies with the top talents in the field.
  • Opportunity to make a significant impact on the transportation revolution by the means of advancing autonomous driving.
  • Competitive compensation package.
  • Snacks, lunches, dinners, and fun activities.
 
The base salary range for this full-time position is $215,280 - $364,320, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
 
We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.

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