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Trt Jobs in California (NOW HIRING)

Ageless Mens Health

Registered Nurse (RN)

Carlsbad, CA · On-site

$47/hr

At Ageless, we focus on medically managed testosterone replacement therapy (TRT) , weight management , skin care , and concierge medicine - helping men improve their overall health, confidence, and ...

LanceSoft

Travel Radiation Therapist

Marysville, CA · On-site

Therapeutic Radiologic Technology (TRT) certification required * CA RTT and ARRT license required * BLS/CPR certification preferred * Fluoroscopy Permit preferred Schedule * Monday-Friday * 40 hours ...

Ageless Men's Health

Registered Nurse (RN)

Carlsbad, CA · On-site

$47/hr

At Ageless, we focus on medically managed testosterone replacement therapy (TRT), weight management, skin care, and concierge medicine -- helping men improve their overall health, confidence, and ...

Ageless Mens Health

Registered Nurse (RN)

Carlsbad, CA · On-site

$47/hr

At Ageless, we focus on medically managed testosterone replacement therapy (TRT) , weight management , skin care , and concierge medicine -- helping men improve their overall health, confidence, and ...

Bestica

Travel Radiation Therapist

Glendale, CA · On-site

Required Therapeutic Radiologic Technology Certification (TRT): Required About Bestica We are a trusted provider of solutions in Information Technology and Healthcare sectors to the DoD, Federal and ...

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Trt information

See California salary details

$30

$61

$88

How much do trt jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for trt in California is $61.29, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $70.24 per hour, depending on experience, location, and employer.

What are some typical challenges faced by a TRT Specialist, and how are they addressed?

TRT Specialists often navigate challenges such as coordinating between multiple stakeholders, accommodating varying medical restrictions, and ensuring regulatory compliance. To address these obstacles, they rely on strong organizational skills, up-to-date knowledge of industry guidelines, and clear communication across teams. They also develop tailored return-to-work plans and monitor employee progress closely, making adjustments as needed to support a smooth transition. As a result, proactive problem-solving and flexibility are highly valued in this role to achieve successful outcomes for both employees and employers.

What are the key skills and qualifications needed to thrive in the Trt position, and why are they important?

To excel as a TRT (Transitional Return to Work) Specialist, you need a strong understanding of workers' compensation, occupational health, and disability management, often complemented by certifications in case management or human resources. Familiarity with case management software, claims processing systems, and relevant legal or regulatory guidelines is essential for success. Excellent communication, negotiation, and problem-solving skills are vital in collaborating with employees, healthcare providers, and employers. These competencies enable effective coordination of return-to-work programs, ensuring both compliance and supportive reintegration for employees.

What are popular job titles related to Trt jobs in California? For Trt jobs in California, the most frequently searched job titles are:
What job categories do people searching Trt jobs in California look for? The top searched job categories for Trt jobs in California are:
Trt jobs near you
Infographic showing various Trt job openings in California as of July 2026, with employment types broken down into 3% As Needed, 80% Full Time, 13% Part Time, and 4% Contract. Highlights an 96% Physical, and 4% Remote job distribution, with an average salary of $127,492 per year, or $61.3 per hour.

Senior Software Engineer, Quantized Inference

Nvidia

Santa Clara, CA

$143K - $189K/yr

Full-time

Re-posted 3 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 246 rated software companies

Job description

We are now looking for a Senior Software Engineer for Quantized Inference! NVIDIA is seeking software engineers to accelerate the discovery and deployment of efficient inference recipes for LLMs. A recipe defines which operators are transformed into low-precision or sparsified variants - unlocking throughput and latency gains without regressing accuracy or verbosity. Recipes may incorporate techniques such as rotations, block scaling to attenuate outlier impact, or improved calibration data drawn from SFT/RL pipelines.

Each new recipe demands corresponding kernel and model-level implementations in inference engines (vLLM, TRT-LLM, SGLang). The candidate will translate recipe specifications into functionally correct, performant code, e.g., writing Triton kernels, inserting quantize/dequantize nodes into prefill and decode paths, and ensuring per-expert scaling in MoE layers is handled correctly. From there, the candidate will collaborate with partner inference teams to further optimize throughput and interactivity on target workloads. This work is a core component of our productization effort across Megatron-LM, ModelOpt, and vLLM.

What you'll be doing:

  • Implement quantized and sparse recipes in inference engines (vLLM, TRT-LLM, SGLang)

  • Own model export pipelines (ModelOpt, Megatron-LM <-> HuggingFace), ensuring quantized checkpoints serialize correctly for downstream serving

  • Build prototypes and benchmarking harnesses to evaluate recipe throughput/interactivity before full optimization

  • Develop data analysis tooling and visualizations for numerics debugging

  • Improve developer productivity across the team: CI, build systems, training infrastructure, pipeline friction

  • Participate in code reviews and incorporate feedback

What we need to see:

  • Proficient in Python; familiarity with C++

  • Strong software engineering fundamentals: concise, well-tested code; fluent with AI-assisted tooling

  • Experience with ML accelerators with a basic understanding of how certain ML layers affect execution time

  • Familiarity with PyTorch internals (custom ops, autograd, export) or equivalent framework

  • Experience reading, modifying, or contributing to a large open-source codebase

  • MS/PhD in Computer Science or related field, or equivalent experience.

  • 4+ years in a relevant software engineering role

  • Demonstrated ability to move fast with ambiguous requirements, with strong written and verbal communication

Ways to stand out from the crowd:

  • Experience contributing to inference serving frameworks (vLLM, TRT-LLM, SGLang) or Triton kernel development

  • Track record of debugging numerical issues across mixed-precision boundaries

  • Deep experience with model compression techniques: PTQ, QAT, structured/unstructured sparsity

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 26, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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