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Full Time Evtol Jobs (NOW HIRING)

XPENG

Staff Technical Program Manager

Santa Clara, CA · On-site

$151K - $196K/yr

... landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is ... The base salary range for this full-time position is $125,580 - $212,520, in addition to bonus ...

Merlin Labs

Mechanical Engineer

Boston, MA

$85K - $115K/yr

Experience in autonomous aircraft, UAVs, eVTOL, robotics, or flight hardware development is highly ... Additionally, Merlin offers top-tier benefits for full-time employees. Merlin Labs offers an ...

Shield AI

Lead Prototype Technician (R5476)

Dallas, TX · On-site

$43 - $64/hr

Military aircraft, UAV, eVTOL, or rotorcraft experience. * Prototype-to-production transition ... Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity ...

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Full Time Evtol information

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$42.5K

$46.9K

$48K

How much do full time evtol jobs pay per year?

As of Aug 22, 2026, the average yearly pay for full time evtol in the United States is $46,900.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,000.00 and $47,000.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Evtol vs Part Time Evtol?

AspectFull Time EvtolPart Time Evtol
Work ScheduleStandard full-time hours, typically 40+ hours per weekFewer hours, often scheduled around other commitments
CertificationsRequires commercial pilot license, Evtol-specific trainingSame certifications as full-time, but with flexible scheduling
Work EnvironmentDedicated maintenance and operation facilities, in-flight dutiesSimilar environments but with less on-site time
Employer UsageUsed by companies for regular transportation servicesUsed for supplementary or part-time operations

Full Time Evtol roles involve regular, scheduled work hours with comprehensive responsibilities, while Part Time Evtol positions offer flexible hours with similar certification requirements. Both roles operate in comparable environments and serve the industry’s transportation needs, but differ mainly in scheduling and commitment level.

More about Full Time Evtol jobs

What are the most commonly searched types of Evtol jobs?

The most popular types of Evtol jobs are:

What states have the most Full Time Evtol jobs?

States with the most job openings for Full Time Evtol jobs include:

What job categories do people searching Full Time Evtol jobs look for?

The top searched job categories for Full Time Evtol jobs are:

Full Time Evtol jobs near you
Infographic showing various Full Time Evtol job openings in the United States as of August 2026, with employment types broken down into 2% Internship, 95% Full Time, 2% Part Time, and 1% Contract. Highlights an 95% Physical, 3% Hybrid, and 2% Remote job distribution, with an average salary of $46,900 per year, or $22.5 per hour.

Staff Machine Learning Engineer - LLM Quantization & Deployment

XPENG

Santa Clara, CA • On-site

Full-time

Posted 8 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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