Senior Data Science Engineer Visa Sponsorship Jobs in Nevada
Senior data science engineer visa sponsorship jobs in Nevada are concentrated in Las Vegas, where gaming and hospitality giants like MGM Resorts, Caesars Entertainment, and Wynn Resorts increasingly rely on data science talent to power analytics platforms. Reno's growing tech sector and proximity to California also attracts employers seeking senior-level machine learning and data engineering expertise.
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INTRODUCTION
Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn't just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.
The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.
We are seeking a highly skilled Software Engineer to play a critical role in evaluating and improving the performance of our autonomous vehicle (AV) technology. This engineer will be responsible for developing and implementing metrics and software tools, primarily using Python, to effectively measure, analyze, and report on the performance of our AV systems. Their work will directly contribute to accelerating the development of safe and reliable autonomous technologies by transforming complex AV data into actionable insights for the organization.
What You'll Be Doing:
- Design AV Performance Analysis Pipelines: Define, design, and implement key pipelines to extract on-road or simulated events and evaluate autonomous vehicle performance (e.g., lane change capability, oscillation/braking metrics, VRU emergence from occlusion).
- Develop Metrics Software and AI-Powered Tools: Leverage strong Python skills to develop frameworks, AI-powered tools, and systems for calculating, aggregating, and visualizing AV performance metrics from large datasets.
- Collaborate Cross-Functionally: Work with systems, software, AI, controls, simulation, and validation teams to understand needs and improve systems like Perception, Prediction, and Planning.
- Ensure Data Quality and Validation: Implement rigorous checks and validation processes to ensure the accuracy and integrity of data used for performance evaluation.
- Document and Share Knowledge: Create clear documentation for metrics and analysis tools, and share best practices with the engineering team.
- Advance Technical Expertise: Proactively evaluate and integrate new technologies and methodologies relevant to autonomous vehicles and software engineering.
What We're Looking For:
- 5+ years of software engineering experience and a Bachelor's degree in Computer Science or a related field; a Master's degree is a plus.
- Expert-level proficiency in Python and a strong understanding of modern software development principles and best practices.
- Strong analytical and problem-solving skills, particularly in the context of complex system performance evaluation and data analysis.
- Proficient with Git and standard version control workflows.
- Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts and results to diverse audiences (engineers, product managers, leadership).
- Proven ability to work both independently and effectively as part of a multidisciplinary team.
- Strong attention to detail and a commitment to data quality, accuracy, and rigorous testing.
Comfortable working in a fast-paced, agile, continuous integration/continuous delivery (CI/CD) environment.
Bonus Points (not required):
- Experience working with autonomous vehicle sensor data (e.g., LiDAR, camera, radar).
- Familiarity with simulation environments and data generated from AV simulations.
- Experience with data visualization tools (e.g., Looker) for presenting performance metrics.
- Knowledge of statistical analysis and machine learning techniques relevant to performance evaluation.
Success Metrics:
- Successful design and implementation of key autonomous vehicle performance metrics.
- Improvement in the efficiency and effectiveness of AV performance evaluation processes.
- Timely and accurate delivery of data and insights to AV development teams.
- Contribution to the overall advancement and safety of our autonomous vehicle technology.
This is a unique opportunity to make a meaningful impact at Motional by enhancing our data platform and accelerating development speed for our industry-leading autonomous vehicle metrics and capabilities ecosystem. We take pride in having some of the brightest and most dedicated talent in the world on our team. If you're innovative, driven, and eager to tackle challenges, we'd love to have you join us!
Physical Demands:
While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.
Travel Requirements (greater than 20%):
Expected to travel for 1-2 weeks each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business.
Working Environment:
The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particles. The noise level in the environment is low to moderate.
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.
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.

INTRODUCTION
Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn't just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.
The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.
We are seeking a highly skilled Software Engineer to play a critical role in evaluating and improving the performance of our autonomous vehicle (AV) technology. This engineer will be responsible for developing and implementing metrics and software tools, primarily using Python, to effectively measure, analyze, and report on the performance of our AV systems. Their work will directly contribute to accelerating the development of safe and reliable autonomous technologies by transforming complex AV data into actionable insights for the organization.
What You'll Be Doing:
- Design AV Performance Analysis Pipelines: Define, design, and implement key pipelines to extract on-road or simulated events and evaluate autonomous vehicle performance (e.g., lane change capability, oscillation/braking metrics, VRU emergence from occlusion).
- Develop Metrics Software and AI-Powered Tools: Leverage strong Python skills to develop frameworks, AI-powered tools, and systems for calculating, aggregating, and visualizing AV performance metrics from large datasets.
- Collaborate Cross-Functionally: Work with systems, software, AI, controls, simulation, and validation teams to understand needs and improve systems like Perception, Prediction, and Planning.
- Ensure Data Quality and Validation: Implement rigorous checks and validation processes to ensure the accuracy and integrity of data used for performance evaluation.
- Document and Share Knowledge: Create clear documentation for metrics and analysis tools, and share best practices with the engineering team.
- Advance Technical Expertise: Proactively evaluate and integrate new technologies and methodologies relevant to autonomous vehicles and software engineering.
What We're Looking For:
- 5+ years of software engineering experience and a Bachelor's degree in Computer Science or a related field; a Master's degree is a plus.
- Expert-level proficiency in Python and a strong understanding of modern software development principles and best practices.
- Strong analytical and problem-solving skills, particularly in the context of complex system performance evaluation and data analysis.
- Proficient with Git and standard version control workflows.
- Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts and results to diverse audiences (engineers, product managers, leadership).
- Proven ability to work both independently and effectively as part of a multidisciplinary team.
- Strong attention to detail and a commitment to data quality, accuracy, and rigorous testing.
Comfortable working in a fast-paced, agile, continuous integration/continuous delivery (CI/CD) environment.
Bonus Points (not required):
- Experience working with autonomous vehicle sensor data (e.g., LiDAR, camera, radar).
- Familiarity with simulation environments and data generated from AV simulations.
- Experience with data visualization tools (e.g., Looker) for presenting performance metrics.
- Knowledge of statistical analysis and machine learning techniques relevant to performance evaluation.
Success Metrics:
- Successful design and implementation of key autonomous vehicle performance metrics.
- Improvement in the efficiency and effectiveness of AV performance evaluation processes.
- Timely and accurate delivery of data and insights to AV development teams.
- Contribution to the overall advancement and safety of our autonomous vehicle technology.
This is a unique opportunity to make a meaningful impact at Motional by enhancing our data platform and accelerating development speed for our industry-leading autonomous vehicle metrics and capabilities ecosystem. We take pride in having some of the brightest and most dedicated talent in the world on our team. If you're innovative, driven, and eager to tackle challenges, we'd love to have you join us!
Physical Demands:
While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.
Travel Requirements (greater than 20%):
Expected to travel for 1-2 weeks each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business.
Working Environment:
The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particles. The noise level in the environment is low to moderate.
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.
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.
Senior Data Science Engineer Job Roles in Nevada
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Search Senior Data Science Engineer Jobs in NevadaSenior Data Science Engineer Jobs in Nevada: Frequently Asked Questions
Which companies in Nevada sponsor visas for senior data science engineers?
Gaming and hospitality conglomerates are the most active sponsors in Nevada, including MGM Resorts International, Caesars Entertainment, and Wynn Resorts, all of which maintain sizable data and analytics teams in Las Vegas. Beyond gaming, Switch (the data center operator headquartered in Las Vegas) and fintech companies expanding into Reno also have a track record of sponsoring H-1B visas for senior data science engineering roles.
Which visa types are most common for senior data science engineer roles in Nevada?
The H-1B is the most common visa for senior data science engineers in Nevada, as the role consistently qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related technical field. Candidates with an approved I-140 or who hold an O-1A based on demonstrated expertise in machine learning or AI research are also hired. Australians may pursue the E-3 as an alternative to the H-1B.
How to find senior data science engineer visa sponsorship jobs in Nevada?
Migrate Mate is built specifically for international job seekers and filters senior data science engineer roles in Nevada by verified visa sponsorship willingness, saving time you'd otherwise spend researching individual employers. Beyond browsing Migrate Mate, targeting Las Vegas-headquartered gaming companies and Reno-based technology employers directly is effective, since these organizations have established immigration processes and regularly sponsor senior technical hires.
Which cities in Nevada have the most senior data science engineer sponsorship jobs?
Las Vegas accounts for the large majority of senior data science engineer sponsorship activity in Nevada, driven by the data-intensive operations of major casino resort corporations and a growing fintech presence. Reno is a secondary hub, benefiting from Nevada's favorable business environment and its proximity to the San Francisco Bay Area, which has attracted technology employers including several cloud infrastructure and e-commerce logistics companies that hire senior data science talent.
Are there any Nevada-specific considerations for senior data science engineers seeking visa sponsorship?
Nevada has no state income tax, which affects prevailing wage benchmarking since the Department of Labor sets wage levels based on local market rates rather than California figures, meaning offered salaries may differ from comparable Bay Area roles. The University of Nevada, Las Vegas and University of Nevada, Reno produce data science graduates who create some local hiring pipelines, but senior-level roles typically require several years of applied machine learning or data engineering experience that employers weigh heavily during sponsorship decisions.
What is the prevailing wage for sponsored senior data science engineer jobs in Nevada?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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