Position Summary

Reporting to the Vice President, Mining, the Senior Mine Engineer is responsible for mine planning, design, and optimization activities to support safe, efficient, and cost-effective mining operations. This role plays a key part in driving the strategic direction of the mining operations, and ensuring alignment between operational execution and strategic mine objectives.

Key Responsibilities

• Develop and support the execution of mine designs and plans for the restart of mining operations
• Design and optimize open pit and/or underground mine layouts, including haul roads, ramps, stopes, and sequencing
• Ensure all mine plans comply with safety standards, regulatory requirements, and environmental guidelines
• Collaborate closely with exploration, operations/mining contractors, permitting, and other site teams to align plans and ensure successful execution
• Support and manage engineering consultants on studies as required
• Monitor mine performance and reconcile actual results against plan; identify variances and implement improvements
• Conduct economic evaluations, cost analysis, and productivity assessments
• Mentor and supervise junior mine engineers and technical staff
• Support budgeting, forecasting, and life-of-mine planning activities and capital projects
• Implement and maintain mine planning software and systems
• Develop mine planning processes and procedures
• Contribute to continuous improvement initiatives and operational excellence programs

Qualifications

• Bachelor’s degree in Mining Engineering or related discipline (Master’s degree is an asset)
• Professional Engineer (PE) license or ability to obtain in Nevada preferred
• Minimum 10 years of mining experience, with strong exposure to planning and operations
• Experience in open pit and underground operations
• Proficiency in mine planning software (e.g., Deswik)
• Strong understanding of drill & blast, geotechnical considerations, and mine economics
• Knowledge of U.S. mining regulations (MSHA standards)

Skills & Competencies

• Strong analytical and problem-solving abilities
• Leadership and mentoring skills
• Excellent communication and cross-functional collaboration
• Ability to work in a fast-paced, remote site environment
• High attention to detail with a focus on safety and efficiency
• Strategic thinking with hands-on operational awareness

Working Conditions

• Site-based role at a mining operation in Nevada
• Exposure to typical mining environments (dust, noise, varying weather conditions)

What We Offer

• Competitive salary
• Comprehensive benefits package
• 401(k)
• Career development and advancement opportunities

Pay Range & Compensation Package

Compensation details will be discussed during the interview process.

Equal Opportunity Statement

We are committed to diversity and inclusivity in our hiring practices and encourage applications from all qualified individuals.

Mission Summary:

Motional is seeking a Staff Front End Engineer expert for its Web Visualization Tooling team.  This role will directly contribute through the creation of critical web tooling and visualization that allows us to improve our feedback loops for machine learning (ML) engineers and improve the performance and adaptability of our autonomous vehicle (AV) system.

What you'll be doing:

• Drive cross-team standards and best practices for web development
• Own cross team collaboration, ensuring deliveries are made on time and effectively
• Architect and scale a modern frontend ecosystem using React, TypeScript, and Vue.
• Collaborate closely with ML, frontend, UX, data services, data mining, and data annotation teams to align tooling with real-world workflows
• Build mission-critical UI systems used by a variety of internal customers.
• Design initiative experiences for complex, data-heavy workflows.
• Drive best practices around performance, scalability and maintainability
• Ship quickly and iterate in a product driven environment.
  
  

What we're looking for:

• Desire to design and build user-facing visual applications, and a passion for good UX.
• Strong proficiency in React, Typescript and modern frontend architecture
• Proficiency in Vue
• Strong product sense with a focus on UX and usability.
• Ability to work with high ownership and autonomy.
• Ability to work autonomously and independently, and to drive development initiatives with little oversight. High aptitude for learning and organization skills.
• Great interpersonal skills and ability to mentor and (on occasion) delegate to other engineers at various levels of relative seniority.
• A well-established technical design and documentation habit
• Capability to work directly with customers to identify foundational needs and provide solutions.
  
  

Bonus Points(not required): 

• Demonstrated project management expertise / advanced hands-on understanding of project management agility and operational excellence.
• A love for the continuous delivery of value.
• Exposure to backend systems (Node, Python)
• Experience in Game Development or 3D Visualization

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.

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.

Role Summary

We are looking for an experienced Senior Quality Engineer to support solid state transformer production. In this role, you will be responsible for designing and implementing the Quality Management System to enable high quality products and commercialization. You will partner with design, supply chain and manufacturing to develop Amperesand’s quality processes, you will lead regulatory and customer audits to qualify Amperesand as a preferred supplier.  

The Quality Engineer is a professional problem solver, that can make good use of quality techniques to solve quality challenges and develop reliable processes that prevent creation of defects. The Sr. Quality Engineer will work on high quality products that meet the high reliability standards in the electrical grid equipment business. 

Responsibilities:

• Development of processes to meet the ISO9001 standard. 
• Lead customer, regulatory and compliance audits. 
• Development of manufacturing requirements, quality standards, and product quality plans to ensure products meet the expectations of our target customers. 
• Deployment of manufacturing level requirements to subsystems, assemblies & components to ensure a clear focus on design and customer needs. 
• Identification of critical requirements to ensure proper supplier and production focus on critical needs. 
• Lead development of FMEAs (Design & Process) for development teams to identify and address critical risks. 
• Manage and facilitate the root cause & corrective actions system through tracking and validation of issues and support in root cause analysis through facilitating brainstorming, use of lean methodologies, hypothesis testing, design of experiments, etc. 

Qualifications:

• Bachelor’s or Master's Degree in Electrical, Mechanical, Materials, Industrial Engineering, or equivalent experience. 
• ASQ or Six Sigma certification are preferred. 
• 5+ years of experience in quality, with background in electrical assemblies and/or power electronics.
• Strong interpersonal and communication skills are an absolute requirement to establish effective working relationships within Amperesand and its partners. 
• Specific training and demonstrated success in applying design for quality and problem-solving methodologies, FMEA, process capability analysis, hypothesis testing, DoE, SPC, etc. 
• Strong background and demonstrated success applying statistical methods. 
• Minitab, JMP or other statistical software capabilities are preferred. 
• Data mining and database (e.g. MySQL) experience. 
• Excellent oral, written and presentation skills.  

Please note: This role requires working on-site 5 days a week. We do not offer hybrid or remote options. Travel up to 15% of the time to suppliers and customers in the USA and overseas.