Explore 2 python software engineer jobs from 2 hiring companies in Beaver City, NE, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Python Software Engineer Jobs

CorVel

Motional

Hybrid

Mission Summary:
As a Technical Lead Manager at Motional, you'll lead a team responsible for the development and delivery of core trajectory planning algorithms via numerical optimization for autonomous vehicles. In this role, you will be at the forefront of shaping the motion planning and control systems that enable our fleet to navigate complex environments safely, efficiently, and comfortably. As a key leader, you will drive the development and continuous performance improvements of cutting-edge trajectory generation algorithms, collaborate with cross-functional teams (Planning, Perception, Prediction, Localization, ML Products, and Systems Engineering), and mentor a talented group of highly skilled engineers to deliver state-of-the-art solutions.&nbsp;
If you are passionate about autonomous driving and being part of our commercial launch this year, thrive on solving challenging real-world problems, and eager to make a significant impact in a rapidly evolving field, we want to hear from you! 
What you'll do:
<ul>
<li>Lead and scale a high-impact trajectory planning team, defining its technical vision, execution strategy, and long-term organizational role within the Motion organization.</li>
<li>Drive commercial launch readiness for trajectory planning by delivering on-road driving behavior improvements (safety, comfort, and assertiveness) across the fleet through feature expansion, continuous performance improvements, and innovation through state-of-the art methods.</li>
<li>Apply a rigorous, metrics-driven framework to quantify and improve on-road performance. Champion leveraging existing training and evaluation pipelines to ensure scalable, production-ready delivery.</li>
<li>Manage the computational efficiency and real-time performance of trajectory generation algorithms, ensuring latency budget compliance.</li>
<li>Lead the rapid triage and root-cause analysis (RCA) of critical fleet incidents, translating real-world edge cases into immediate algorithmic refinements and validation sets.</li>
<li>Oversee the successful execution of complex, multi-team initiatives, ensuring technical alignment from design through deployment while maintaining a rigorous standard for testing and validation to meet the high safety bars required for our commercial launch.</li>
<li>Coordinate with peer leads to provide technical leadership, making consequential decisions on architectural direction, strategic investments, tactical execution, and technical debt reduction.Ensure technical excellence through rigorous design and code reviews while actively facilitating the professional growth and mentorship of your engineering team. Set and drive ambitious goals that challenge the team to deliver industry-leading trajectory planning solutions.</li>
<li>Define and negotiate quarterly and annual technical roadmaps aligned with company-level autonomy milestones in coordinate with project managers and execute plans on schedule. </li>
</ul>
What we're looking for:
<ul>
<li>Proven Engineering Leadership: 2+ years of experience managing high-performing development teams, with a demonstrable track record of inspiring, mentoring, and coaching engineers and driving measurable productivity gains.</li>
<li>Ship-to-Production Mindset: Experience leading the delivery of production-quality algorithms in a high-stakes environment (Autonomous Vehicles, Robotics, or Aerospace). You know what it takes to move from a prototype to a commercially viable product.</li>
<li>Strategic Vision: Ability to look beyond the immediate deliverables to define and defend a balanced technical roadmap that balances long-term architectural health with the urgent needs of a 2026 commercial launch.</li>
<li>Technical Domain Expertise: Deep theoretical and practical expertise in numerical optimization and optimal control. You should be highly proficient in areas such as Model Predictive Control, nonlinear programming, and convex optimization applied to real-time trajectory generation.</li>
<li>Advanced Motion Planning: Significant experience solving motion planning problems under uncertainty, including interaction-aware planning with dynamic agents and complex environmental constraints. Experience with Machine Learning based approaches is a significant plus.</li>
<li>Full-Stack Robotics Context: Strong intuition for the entire robotics stack. You understand how upstream (Perception, Prediction) and downstream (Control, Actuation) systems impact trajectory feasibility and fleet safety.</li>
<li>Production-Grade Software Development: Expertise in Modern C++ development within a Linux environment, with a focus on writing high-performance, real-time, and safety-critical code.</li>
<li>Tooling Proficiency: Fluency in Python for rapid prototyping, data analysis, and visualization. Experience applying AI-augmented development workflows to large-scale Modern C++ codebases (e.g., agentic tools for multi-file refactoring, automated test generation, semantic code navigation, and code review acceleration) is strongly preferred. Experience with SQL or big-data frameworks for fleet-scale performance analysis is a significant plus.</li>
<li>Influence &amp; Clarity: Exceptional communication skills, with the ability to translate complex mathematical concepts into actionable plans for cross-functional stakeholders and executive leadership.</li>
<li>Educational Foundation: Master’s or PhD in Robotics, Computer Science, Electrical/Mechanical Engineering, or a related quantitative field. </li>
</ul>
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.
&nbsp;<div class="content-pay-transparency"><div class="pay-input"><div class="description">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.&nbsp;
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. </div><div class="title">Salary Range</div><div class="pay-range">$240,000&mdash;$330,000 USD</div></div></div><div class="content-conclusion">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.&nbsp;&nbsp;
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&nbsp; <a href="https://c212.net/c/link/?t=0&amp;l=en&amp;o=3300142-1&amp;h=1642745316&amp;u=https%3A%2F%2Fc212.net%2Fc%2Flink%2F%3Ft%3D0%26l%3Den%26o%3D3253528-1%26h%3D3781125006%26u%3Dhttps%253A%252F%252Fc212.net%252Fc%252Flink%252F%253Ft%253D0%2526l%253Den%2526o%253D3089636-1%2526h%253D3468778127%2526u%253Dhttps%25253A%25252F%25252Fc212.net%25252Fc%25252Flink%25252F%25253Ft%25253D0%252526l%25253Den%252526o%25253D2881693-1%252526h%25253D646020682%252526u%25253Dhttps%2525253A%2525252F%2525252Furldefense.com%2525252Fv3%2525252F__http%2525253A%2525252Fwww.motional.com%2525252F__%2525253B!!KT8c38mO!j78LjnhAm2VK7Fu23VO6KlwqDXvVTQFMzmyzieKQqZDQksh2tpWEseK4to8eKzwsEwI%25252524%252526a%25253Dwww.Motional.com%2526a%253Dwww.Motional.com%26a%3Dwww.Motional.com&amp;a=www.Motional.com">www.Motional.com</a> and follow us on <a href="https://twitter.com/motionaldrive">Twitter</a>, <a href="https://www.linkedin.com/company/67123512/">LinkedIn</a>,&nbsp;<a href="https://www.instagram.com/motionaldrive/">Instagram</a> and <a href="https://www.youtube.com/channel/UCr__mGPkBb-KMoYWbSGuA9w">YouTube</a>.
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.</div>

Principal Engineer Team Lead - Trajectory Planning Lead

Principal Engineer Team Lead

2+ years engineering leadership; production-quality robotics software; strong C++ and Python; advanced optimization and motion planning expertise; master’s or PhD in a quantitative field.

We have an exciting opportunity for a Data Scientist within our data product space. This individual will be focused on designing, building, and deploying machine learning models and data products that support our enterprise initiatives. This role focuses on developing scalable, production ready solutions by translating complex business problems into data-driven approaches and model-based outputs.
Working closely with product managers, engineering teams, and business stakeholders, this position contributes to the development of data products from concept through deployment, ensuring solutions are reliable, performant, and aligned with real world use cases. The role includes hands on model development, feature engineering, and integration into production systems within cloud environments.
The ideal candidate has experience building and operationalizing machine learning models and is comfortable working with modern AI techniques, including large language models (LLMs) and retrieval-augmented generation (RAG), where applicable. Experience with platforms such as Azure, AWS, or similar ecosystems is strongly preferred.
Success in this role requires strong technical expertise, problem-solving skills, and the ability to deliver high-quality solutions within a structured development environment. This role focuses on building and deployment of production data products and is not limited to exploratory analysis or reporting.
This position is open to remote or hybrid.
ESSENTIAL FUNCTIONS & RESPONSIBILITIES:
<ul>
<li>Mine and analyze data from internal databases to drive optimization and improvement of product development and business strategies</li>
<li>Creating new, experimental frameworks to collect data</li>
<li>Building tools to automate data collection</li>
<li>Develop custom data models and algorithms to apply to data sets</li>
<li>Design, build, train, and deploy machine learning models and data products for enterprise use</li>
<li>Translate business and operational needs into scalable data science solutions and modeling approaches</li>
<li>Perform feature engineering, data preparation, and exploratory analysis to support model development</li>
<li>Develop and evaluate models using appropriate techniques (e.g., classification, regression, NLP, optimization)</li>
<li>Contribute to the design of data products, including model outputs, APIs, and integration into downstream systems</li>
<li>Support advanced AI use cases, including LLM-based solutions, retrieval-augmented generation (RAG), and hybrid modeling approaches where appropriate</li>
<li>Collaborate with engineering teams to integrate models into production environments using APIs, pipelines, and cloud services</li>
<li>Support deployment and lifecycle management of models within Azure Machine Learning, AWS, or similar platforms</li>
<li>Perform model validation, testing, and documentation to ensure quality and reproducibility</li>
<li>Contribute to technical design discussions and provide input on architecture and implementation strategies</li>
<li>Work within the full software development lifecycle (SDLC), including version control, testing, and release processes</li>
<li>Communicate model behavior, assumptions, and results clearly to technical and non-technical stakeholders</li>
<li>Develop A/B testing framework and test model quality</li>
<li>Passion for technology and emerging AI/ML trends</li>
<li>Additional duties as assigned</li>
</ul>
 
KNOWLEDGE & SKILLS:
<ul>
<li>Strong problem-solving skills with an emphasis on product development.</li>
<li>Strong foundation in machine learning, statistical modeling, and data science techniques</li>
<li>Experience building and deploying machine learning models in production environments</li>
<li>Familiarity with modern AI approaches, including:
<ul>
<li>Natural language processing (NLP)</li>
<li>Large language models (LLMs)</li>
<li>Retrieval-Augmented Generation (RAG)</li>
<li>Feature engineering and model evaluation techniques</li>
</ul>
</li>
<li>Experience working with cloud platforms such as Azure, AWS, or similar ecosystems</li>
<li>Familiarity with data pipelines, APIs, and integration patterns</li>
<li>Proficiency in programming languages such as Python and database management including SQL</li>
<li>Strong problem-solving skills with the ability to structure complex problems into analytical solutions</li>
<li>Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.), their real-world advantages/drawbacks and experience with applications</li>
<li>Excellent presentation and written/verbal communication skills</li>
</ul>
 
EDUCATION & EXPERIENCE:
<ul>
<li>Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical field; Master’s preferred</li>
<li>2–5+ years of experience in data science, machine learning, or related roles</li>
<li>Experience developing and deploying machine learning models in production environments</li>
<li>Experience with cloud-based ML platforms such as Azure Machine Learning, AWS SageMaker, or similar</li>
<li>Exposure to AI platforms such as Azure OpenAI, AWS Bedrock, or similar technologies preferred</li>
<li>Experience working within enterprise software environments and SDLC practices preferred</li>
</ul>
 
PAY RANGE:
CorVel uses a market based approach to pay and our salary ranges may vary depending on your location.  Pay rates are established taking into account the following factors:  federal, state, and local minimum wage requirements, the geographic location differential, job-related skills, experience, qualifications, internal employee equity, and market conditions.  Our ranges may be modified at any time.
For leveled roles (I, II, III, Senior, Lead, etc.) new hires may be slotted into a different level, either up or down, based on assessment during interview process taking into consideration experience, qualifications, and overall fit for the role.  The level may impact the salary range and these adjustments would be clarified during the offer process.
Pay Range:  $82,574 – $127,490
A list of our benefit offerings can be found on our CorVel website: <a href="https://www.corvel.com/company/careers/" target="_blank" rel="noopener">CorVel Careers | Opportunities in Risk Management</a>
In general, our opportunities will be posted for up to 1 year from date of posting, or until we have selected candidate(s) to fulfill the opening, whichever comes first.
 
<a href="https://www.corvel.com/" target="_blank" rel="noopener">About CorVel</a>
CorVel, a certified Great Place to Work® Company, is a national provider of industry-leading risk management solutions for the workers’ compensation, auto, health and disability management industries.   CorVel was founded in 1987 and has been publicly traded on the NASDAQ stock exchange since 1991. Our continual investment in human capital and technology enable us to deliver the most innovative and integrated solutions to our clients.  We are a stable and growing company with a strong, supportive culture and plenty of career advancement opportunities.  Over 4,000 people working across the United States embrace our core values of Accountability, Commitment, Excellence, Integrity and Teamwork (ACE-IT!).
A comprehensive benefits package is available for full-time regular employees and includes Medical (HDHP) w/Pharmacy, Dental, Vision, Long Term Disability, Health Savings Account, Flexible Spending Account Options, Life Insurance, Accident Insurance, Critical Illness Insurance, Pre-paid Legal Insurance, Parking and Transit FSA accounts, 401K, ROTH 401K, and paid time off.
CorVel is an Equal Opportunity Employer, drug free workplace, and complies with ADA regulations as applicable.
#LI-Remote

Data Scientist II

2–5+ years of data science experience; Bachelor's in CS/DS/Engineering/Math; production ML deployment; cloud platforms (Azure/AWS); Python and SQL; strong communication.

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