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Sensor Jobs in Nevada (NOW HIRING)

micro1 AI

First-Person AI Video Trainer

Reno, NV · Remote

$13/hr

Record synchronized video footage to validate and enhance the integrity of collected sensor data. * Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and ...

micro1 AI

First-Person AI Video Trainer

Henderson, NV · Remote

$13/hr

Record synchronized video footage to validate and enhance the integrity of collected sensor data. * Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and ...

micro1 AI

First-Person AI Video Trainer

Las Vegas, NV · Remote

$13/hr

Record synchronized video footage to validate and enhance the integrity of collected sensor data. * Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and ...

VIVA USA INC

Mechanical Assembler

Minden, NV · On-site

$18.25 - $22.75/hr

... Sensor, Oil & Gas, Electrical None English Notes : Monday - Friday 6 : 30am to 2 : 00pm VIVA is an equal opportunity employer. All qualified applicants have an equal opportunity for placement, and ...

Varsity Tutors

Robotics Tutor

Las Vegas, NV · Remote

$18 - $40/hr

Ability to explain sensor integration, PID control, gear ratios, and autonomous navigation while preparing students for robotics competitions, engineering coursework, and STEM career pathways.

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Sensor information

See Nevada salary details

$15

$30

$46

How much do sensor jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for sensor in Nevada is $30.27, according to ZipRecruiter salary data. Most workers in this role earn between $24.47 and $35.00 per hour, depending on experience, location, and employer.

What is a sensor job?

A sensor job involves designing, testing, installing, or maintaining sensors used to detect physical or environmental conditions such as temperature, pressure, motion, or light. These roles often require knowledge of electronics, programming, and data analysis, and may involve working in manufacturing, research, or field environments.

What engineer makes $500,000 a year?

Senior engineers in specialized fields such as petroleum, aerospace, or software engineering with extensive experience and advanced skills can earn salaries around $500,000 annually. These roles often require advanced degrees, certifications, and leadership responsibilities, and compensation may include bonuses and stock options.

Which 3 jobs will survive AI?

Sensor technicians and engineers are likely to continue working alongside AI, as their roles involve complex troubleshooting, calibration, and maintenance of hardware that requires hands-on skills. Data analysts and cybersecurity specialists are also expected to remain in demand, as AI tools often augment their work rather than replace it entirely, especially in environments requiring critical thinking and specialized knowledge.

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

To thrive as a Sensor in an industrial or scientific setting, you need strong analytical and observational skills, attention to detail, and familiarity with data collection or quality assessment methodologies. Typically, Sensors use specialized measuring instruments, data logging software, and may require certifications relevant to safety or technical standards. Strong communication, teamwork, and problem-solving abilities help Sensors excel, especially when relaying findings or collaborating on process improvements. These skills are vital for ensuring accurate and reliable monitoring, supporting operational efficiency, and identifying potential issues promptly.

Why is Gen Z struggling to get jobs?

Sensor roles often require technical skills, certifications, and experience, which can be challenging for Gen Z job seekers due to limited work history. Additionally, competition from more experienced candidates and the need for adaptability to new technologies can make entry-level positions more difficult to secure for younger applicants.

What is a Sensor job?

A Sensor job typically involves working with sensor technologies to collect, analyze, and interpret data for various applications. This role may include designing, developing, testing, and maintaining sensors used in industries like automotive, healthcare, manufacturing, and environmental monitoring. Responsibilities often involve programming, signal processing, calibration, and integration with other systems. Sensor professionals may work as engineers, technicians, or researchers focused on improving accuracy and reliability. The job requires knowledge of electronics, physics, and data analysis tools.

What are some common challenges Sensors face on the job?

Sensors often work in environments where maintaining accuracy and consistency under time constraints can be a challenge, especially when multiple samples need to be analyzed quickly. Adapting to new technologies, processes, or strict regulatory standards may also require ongoing training and attention. Additionally, Sensors must remain vigilant for minor anomalies, as small errors can impact overall quality or safety. However, these challenges are balanced by established procedures, team support, and opportunities to develop specialized technical expertise over time.

What are popular job titles related to Sensor jobs in Nevada? For Sensor jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Sensor jobs in Nevada look for? The top searched job categories for Sensor jobs in Nevada are:
Sensor jobs near you
Infographic showing various Sensor job openings in Nevada as of July 2026, with employment types broken down into 100% Full Time. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $62,960 per year, or $30.3 per hour.
Senior Machine Learning Engineer, Data Mining

Senior Machine Learning Engineer, Data Mining

Motional

Las Vegas, NV • On-site

$117K - $154K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 26 days ago

Job description

Mission Summary:
At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery.
As a Senior Machine Learning Engineer on the Data Mining team, your mission is to build the "Brain" of this engine: designing massive multimodal Teacher models that understand the world, and distilling them into hyper-efficient Student models that can scour exabytes of data in near real-time. You will work at the intersection of large-scale representation learning, retrieval optimization, and reasoning systems. Your work will directly influence how we compress knowledge into efficient encoders for fast search, and how we apply reinforcement learning to optimize data discovery workflows and intelligent querying. By building smarter mining tools, you will accelerate the entire model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation.
What You'll Do:
  • Architect and Train Distilled Models: Design and implement teacher-student model frameworks for multimodal sensor data. Develop training pipelines for knowledge distillation. Ensure student models maintain high accuracy while drastically reducing inference latency and memory footprint.
  • Reinforcement Learning for Data Discover: Build RL-based policy learning and reasoning systems for autonomous driving applications. Implement and scale RL training workflows (e.g., PPO, DQN, actor-critic methods) for simulation and real-world interaction. Explore reward shaping, environment modeling, and multi-agent RL where applicable.
  • Optimize Model Deployment for Real-Time Inference: Collaborate with backend engineers to deploy distilled and RL models into production. Optimize for latency, throughput, and hardware efficiency across GPU/CPU clusters. Implement model versioning, A/B testing, and monitoring for performance regressions.
  • Research and Integrate Agentic Systems: Explore and prototype agentic workflows for autonomous reasoning, chain-of-thought prompting, and goal-directed behavior. Integrate such systems into our broader autonomy stack as experimental or production components.
  • Drive Production Reliability: Establish patterns for graceful degradation, fault tolerance, and cost optimization. Operate Omnitag as a mission-critical data platform serving the entire ML organization, with a focus on reliability, debuggability, and operational excellence.
  • Mentor and Collaborate: Work closely with ML scientists, data engineers, and autonomy teams to translate research advances into scalable engineering solutions. Guide junior engineers in best practices for model training, evaluation, and deployment.

What We're Looking For:
  • BS in Computer Science, Machine Learning, or related field, or equivalent professional experience.
  • 6+ years of hands-on experience in machine learning engineering, with a focus on model post training, optimization, and deployment.
  • Strong experience with model distillation or teacher-student training - practical knowledge of loss functions, training strategies, and evaluation of compressed models.
  • Proven experience with reinforcement learning in production or research settings: policy optimization, reward design, simulation environments, and RL-based reasoning.
  • Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX).
  • Strong software engineering fundamentals: testing, CI/CD, containerization, and system design.
  • Experience deploying ML models in cloud environments (AWS, GCP, or Azure) and optimizing for inference.
  • Demonstrated ability to ship production-grade ML systems and mentor team members.
  • Demonstrated track record of shipping robust, well-tested, production-grade systems and mentoring junior engineers

Bonus Points (Nice-to-Haves):
  • MS/PhD in Computer Science, Machine Learning, or related field.
  • Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning.
  • Background in autonomous driving, robotics, or real-time decision-making systems.
  • Familiarity with multimodal learning, sensor fusion, or embodied AI.
  • Experience building active learning loops, using the model to find the data that breaks the model.
  • Experience with ML-based data mining, active learning, or contrastive learning.
  • Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms.
  • Publications or open-source contributions in RL, distillation, or efficient ML.

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Salary Range
$172,000-$229,000 USD
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

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