This position is looking for a highly motivated flight test engineer, and test lead with emphasis in developmental test of a new and revolutionary Group 5 UAS. You will work heavily with the program leadership and a wide spectrum of cross-departments to help build a team focused on solving hard problems and changing the industry forever. The role will be responsible for assisting on planning, coordination, execution and reporting on all facets of the test program.

The Test and Evaluation team at Anduril works across the entire spectrum of products and business lines, as well as all flight operations and test range management. Our team conducts full system level development testing, new production acceptance testing, sub-component qualification testing and much more. In short, if it involves test, we support it. If you are interested in working in an extremely innovative and fast paced environment, where your work directly makes an impact and difference in the products that are fielded this a fantastic opportunity.

WHAT YOU’LL DO

• As a lead Flight Test Engineer, under minimal supervision, you will determine, develop and recommend various approaches to achieve T&E goals set by Anduril T&E and Program leadership. You will manage, guide, and execute technical efforts of the Fury development test program. You will provide direct input to test event planning, preparation, execution and reporting.
• This position will focus heavily on new aircraft development, with emphasis on envelope expansion, flying qualities, vehicle autonomy, and test in operational environments.
• You will be responsible for ensuring comprehensive flight test campaign execution of multiple test articles in support of high-risk test events.
• Test duties include the testing hardware and software in laboratory, ground and flight test environments, with emphasis placed on resource planning. You will be expected to seek process improvements to increase test efficiency across all test environments.
• You will be directly responsible for supporting test execution at government test facilities with USG partners.
• You will facilitate and lead the technical interactions between disparate engineering teams. You will coordinate across the members of T&E IPT, including Flight Operations and Maintenance.
• You will directly contribute to periodic and milestone engineering reviews, often facilitating technical discussions between Anduril and customer representatives.
• Faced with numerous technical and execution challenges, you will be expected to develop creative solutions to unique problems. You will be biased for action — you are empowered to engage your team to solve and fix any problem you encounter without direct supervision.
• You will be part of an organization that challenges traditional T&E paradigms and is poised to affect the trajectory of the flight test industry.

REQUIRED QUALIFICATIONS

• 10+ years of experience as test conductor/director for developmental aircraft, weapons, or missile systems.
• A bachelor's degree or a related technical discipline from an accredited institution. May substitute equivalent engineering experience in lieu of education.
• Test engineering experience working with developmental systems of manned and/or unmanned aircraft to include requirements development, test planning and execution, and test reporting.
• Must have a complete understanding of Test & Evaluation engineering concepts, principles, codes, and theory; with experience demonstrating a broad application of those areas. This includes experience working across program Integrated Product Teams to influence system design or configuration.
• Previous experience with and current working knowledge of DCMA INST 8210, MIL-STD-516, 14 CFR, and service related T&E guiding documents. Foundational expertise and working knowledge of the National Airspace System, government restricted airspace and UAS operating rules and regulations thereof.
• Prior experience conducting development flight test operations at military ranges.
• Must possess the ability to understand new concepts quickly; apply them accurately; organize, schedule, and coordinate work phases; and determine the appropriate approach at the task level or, with assistance, at the project level to provide solutions to a range of complex problems.
• Strong computer and documentation experience.
• Must have strong communication (written and verbal) and interpersonal skills.
• Ability to work independently and as part of a team; able to perform complex tasks in one or more engineering areas.
• Experience with large aircraft development and working with the Department of Defense (DoD)
• Able to work extended hours as required.
• Ability to travel as required for test planning and execution
• Ability to immediately obtain a U.S. Top Secret-Level security clearance.

PREFERRED QUALIFICATIONS

• 15+ years experience in Test & Evaluation, or related technical fields.
• Previously held a role as the Flight Test Engineering Lead
• Been a part of the first flight of a developmental aircraft, or major aircraft system.
• Bias for action – if you see a problem, you want to solve and fix it
• Experience managing individuals or teams of multiple individuals
• Experience with large UAS development
• Previous experience working within a Combined Test Force or equivalent

At Anduril we are developing unmanned aerial systems capable of terminal guidance, long range intelligence collection, precision relative and global navigation, and unsupervised autonomy. The Test and Evaluation team works across the entire spectrum of products ranging from Lattice Ghost UAS, Sentry Tower, cUAS, missile, Fury and many of our other platforms.

As a Group 5 Test Pilot, you will support the development and field testing of Anduril’s largest and most powerful Unmanned Aerial System products. In this role, you will prepare aircraft for flight, conduct flight tests as the test pilot, and support the test engineering team throughout the lifecycle of the developmental aircraft.

WHAT YOU’LL DO

• Collaborate closely with Flight Test Engineers and Discipline Engineers to develop safe, effective, and efficient test procedures, evaluate system and test safety, and verify the functional design of the system.
• Participate in ground and flight testing of developmental aircraft to determine compliance with specifications, validate airworthiness, and assess operational suitability.
• Assist in developing system test procedures and engage in laboratory and surrogate open-air environment testing.
• Serve as a guiding member within the Test and Evaluation team, regularly interfacing with the T&E lead, T&E Technical Director, Chief Test Pilot, Lead Flight Test Engineer, and customer representatives.
• Take direct responsibility for the safe flight of the aircraft and act as an advisor during safety reviews, design reviews, and airworthiness reviews.
• Expand the mission envelope by pushing the boundaries of safe and normal flight.
• Support Fury flight tests as a surrogate and chase pilot, flying high-performance jet aircraft in demanding roles including photo/video, air data pacer, and safety chase across the flight envelope.
• Participate in flight operations and help direct the flight test program.
• Collaborate with other test pilots to approve control station configurations, author flight procedures, develop and verify emergency procedures, and support test team and control room training.
• Review test procedures, flight test plans, flight test cards, operating limitations, flight test schedules, support documents, and ground handling documents in preparation for ground and flight testing.
• Attend system design and configuration control meetings, providing input to resolve change requests and determining change priority, timelines, and test verification requirements leading up to software releases and aircraft block changes.
• Develop creative solutions to technical and execution challenges, acting with a bias for action and engaging your team to solve problems efficiently.

REQUIRED QUALIFICATIONS

• Graduate of a U.S. military test pilot school (TPS) or meet DCMAINST 8210.1 series alternate education and experience qualifications for contractor UA pilot/operator.
• 5+ years experience as a Group 5 UAV pilot.
• 2,000 hours Pilot-in-Command time or 500 hours in unmanned aircraft.
• Qualifying hours must include 200 hours Pilot-in-Command during engineering flight test and 10 hours during experimental flight test.
• Commercial pilot certificate with instrument rating.
• FAA Class 2 Medical, renewed annually.
• One of the following education and experience combinations:
• Undergraduate or higher degree in aerospace-related engineering or scientific discipline plus one year of applicable engineering test flight experience.
• Undergraduate or higher degree in other engineering or scientific discipline plus two years of applicable engineering test flight experience.
• Non-engineering undergraduate or higher degree plus three years of applicable engineering test flight experience.
• No degree plus four years of applicable engineering test flight experience.
• Ability to travel as required to support off-site aircraft testing.
• Strong ability to quickly understand new concepts, apply them accurately, organize, schedule, and coordinate work phases, and determine appropriate approaches to complex problems.
• Excellent written and verbal communication and interpersonal skills, especially regarding technical subjects and authoring technical documents supporting safe aircraft operation.
• Experience authoring flight manuals and technical documentation necessary to operate developmental aircraft and delivering configuration-controlled publications to customers.
• Proficiency with basic MS Office tools (Word, PowerPoint, Excel).
• Ability to work independently and as part of a team; capable of performing complex tasks.
• Willingness to work extended and irregular hours.
• Ability to obtain and maintain a U.S. TS/SCI security clearance.

PREFERRED QUALIFICATIONS

• 10+ years experience as a Group 5 UAV pilot working with developmental aircraft.
• 2,000 hours Pilot-in-Command time or 500 hours in unmanned aircraft.
• ATP certificate with Class 1 medical.
• Certified Flight Instructor / Instrument.

As the Virtual Construction Field Engineer, you will support the Nox Innovations virtual design team and broader Nox Group construction installation teams with research and validation in the field. This will include design, trade coordination, layout, installation coordination, and validation.

Responsibilities

• Manage the Asset Routing submissions daily by
  • Providing support to the field on routing processes from VC WFD
  • Ensuring routing plans are reviewed and constraints are logged and followed up on by Nox Group’s field personnel and Virtual Construction.
• Coordinate & manage internal and external constraints during the modeling process by
  • Maintaining a daily VC constraint log
  • Coordinate constraint resolution
  • Attend VC internal and external coordination meetings to document and coordinate constraints and assist in coordination resolution
  • Monitor & share weekly constraint progression with the project & VC teams
• Assist with the constructability review in the field.  
• Assist the installation team with understanding the scope as needed
• Perform field validations of installation against the design to ensure the design is being followed and report any design to installation deviations to VC PE
• Provide total station layout points on site as needed.
• Assist installers with knowledge of how to understand and navigate the model and sheet sets, including PF part labels.
• Perform daily coordination between the VC Project Coordinator and the onsite field operations teams to ensure the model and design are aligned.
• Provide updates and support to the VC Project Manager to ensure continuity between the VC Engineers and the onsite Field Operations

Qualifications

• 5+ years’ experience in the construction field, electrical a bonus
• 2+ years’ experience in CAD
• Experience in Project Layout
• Ability to stand for long hours and walk job sites
• Ability to climb a ladder
• Ability to lift up to 45 lbs
• Excellent written and verbal communication ability
• Organized, systematic, and competent in performing detailed tasks
• Has a strong ability to be a team player and leader
• Self-starter and motivated to work efficiently and effectively
• Must possess outstanding interpersonal skills
• Cultural fit—ability to build positive working relationships

Education/Certifications

• High school diploma or G.E.D. equivalent

Safety Level
This is a safety sensitive position, and all applicable policies including drug test and background check will apply.

• The inherent responsibilities of your role may include physical working conditions. In order to safely and successfully perform job duties you must be able to:  
  • Potentially lift up to 50 pounds 
  • Potentially need to do repeated pushing, pulling, carrying, reaching (or working above shoulder), walking, standing, sitting, stooping, kneeling, bending, and climbing  
  • Potentially operate a motor vehicle, crane, tractor, etc.  
• We reserve the right to continually monitor your ability to safely and successfully complete these inherent physical responsibilities and take action as deemed appropriate in accordance with the Americans with Disability Act (ADA)

#NXCLIND1

Role Summary
In this role, you will drive end-to-end reliability for our Solid-State Transformer (SST) platform, from concept to field deployment. You will lead cross-functional teams to mitigate program risks via Failure Mode and Effects Analysis (DFMEA)/Fault Tree analysis (FTA) and set clear reliability benchmarks for supplier selection. By developing advanced Physics-of-failure (PoF) modeling and performing expert-level RCA, you will ensure our hardware meets the demanding lifetime required for modern energy infrastructure. 

Responsibilities: 

• Assist in the setup and execution of reliability test plans for SST’s, including thermal mapping and accelerated life testing. 

• Utilize statistical methods to analyze test data, identifying trends in component or system-level failures. 

• Participate in DFMEA sessions, helping to document risks and track mitigation actions. 

• Perform initial root-cause analysis on failed components using lab equipment (microscopes, X-ray, etc.) and coordinate with senior engineers on complex investigations. 

• Assist in building reliability block diagrams and basic PoF models to predict product lifetime. 

• Work closely with the Design and Manufacturing teams to communicate test results and ensure reliability targets are met. 

• Maintain detailed records of test procedures, lab results, and reliability reports for key milestones. 

• Ability to travel occasionally to different facilities to support hardware deployment and testing. 

Qualifications: 

• Bachelor’s or Master’s degree in Electrical Engineering, Mechanical Engineering, or Reliability Engineering. 

• Strong understanding of power electronics fundamentals and circuit analysis. 

• Basic familiarity with reliability statistics (Weibull distribution, MTBF) and a desire to master advanced Bayesian and Monte Carlo methods. 

• Comfortable working in a high-voltage lab environment; experience with basic diagnostic tools (Oscilloscopes, Multimeters). 

• Interest in learning reliability tools such as ReliaSoft (Weibull++, ALTA) or simulation software like Ansys Sherlock. 

• Basic proficiency in Python, MATLAB, or R for data processing and automation. 

• Excellent written and verbal skills; ability to translate complex data into clear, actionable updates for the team. 

• A "first principles" thinker who is eager to learn and thrives in a fast-paced hardware startup environment. 

Please note: This role requires working on-site 5 days a week. We do not offer hybrid or remote options. 

We are looking for a Principal Specialist Sales Engineer to join our Healthcare Zero Trust Branch team. This is a remote role, reporting to the Director of Specialists Solutions Architects. The Speciality Sales team is a global group of professionals who are passionate about delighting our customers, nurturing trusted partnerships, and sharing their expertise to drive a secure, cloud-enabled digital future and further cement our position as the world leader in cloud security. Sales, Customer Success, Sales Enablement, Solution Architects, Business Development, Transformation, and Technology Partnerships all work together to demonstrate the power and agility of Zscaler cloud transformation to the world. We're looking for an experienced Senior Sales Engineer to join our Exposure Management team.

What you’ll do (Role Expectations)

• Create and deliver technical product presentations to prospective customers
• Gather customer technical requirements to ensure proposed solutions will meet customer goals and needs
• Lead product evaluations and custom product configurations
• Design evaluation test plans with customers and guide the process to successful outcomes

Who You Are (Success Profile)

• You thrive in ambiguity and are comfortable building the path as you walk it, seeing ambiguity not as a hindrance but as the raw material to build something meaningful.
• You act like an owner and your passion for the mission fuels your bias for action, allowing you to navigate seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver who seeks out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You are customer-obsessed and build deep empathy for the customer to anchor your decisions in solving their real-world problems.
• You are resilient and adaptable, viewing change as an opportunity and maintaining composure and focus in high-pressure situations.

What We’re Looking for (Minimum Qualifications)

• Bachelor’s Degree in Technology, a related field, or equivalent professional experience
• 10+ years of experience in Sales Engineering, Solutions Consulting, or Solutions Architect
• Proven experience selling network security technologies (SD-WAN, routing protocols, SWG, routing, proxies, firewalls, SSL/IPsec, VPNs, DLP, and end-user monitoring)

What Will Make You Stand Out (Preferred Qualifications)

• Industry standard certifications such as CISSP, CCNA, Network+, CCNP, CCIE, or Security+
• Deep understanding of complex, multi-year sales cycles and expertise in value-based storytelling

#LI-Remote

#LI-EV1

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.

Mission Summary:

The Autonomy Subsystems team at Motional is focused on designing and evaluating modules of the autonomy software. We are seeking a talented senior engineer to contribute to evaluation of our machine learning subsystems. Our team performs a variety of evaluations of machine learning models, including offline model eval, evaluation of open and closed-loop re-simulations, and assessment of on-road performance. Our goal is to establish metrics that describe autonomy subsystem performance, evaluate against those metrics to validate performance, and provide meaningful insight to ML developers and teams, working closely alongside them to improve the performance of ML models on the car.

We are looking for a highly-technical systems engineer with experience designing and evaluating safety critical systems and machine learning models. Bring your passion for autonomy, robotics, and machine learning to our team to help build a production-ready system and prepare for our scaled robotaxi service deployment.

Responsibilities:

• Define, prototype, and validate advanced metrics that bring new insights to model performance evaluation for autonomy subsystems (mainly focused on perception, prediction, and planning).
• Assess coverage of existing training and testing, then curate test sets that sufficiently capture Motional’s intended deployment operational design domain, across many axes (agent types, interaction types, map/spatial, etc.).
• Evaluate machine learning model performance against these metrics and tests.
• Assess system-level performance and subsystem contribution to system behavior through large-scale data analysis of on-road and simulation events.
• Define performance requirements for autonomy subsystems, and supporting analyses required to establish these targets.
• Coordinate subsystem-level evaluation with other system-level testing efforts across the systems team in support of the safety case and safety claims.
  
  

Qualifications:

• An engineer who has demonstrated strong cross-functional collaborative skills and is highly self-starting. This is a highly cooperative role across systems, autonomy, infrastructure, and other parts of the organization.
• Proven engineer with 5+ years of experience working on high-tech safety critical systems or robotics, ideally from a systems, robotics, or similar background.
• Master’s degree in relevant fields (systems, robotics, ML, CS, etc.) or Bachelor’s degree plus significant relevant in-field experience.
• Skilled Python developer, familiarity with analyzing the large scale data required to train and test ML models.
• Experience designing unique metrics that capture key aspects of system behavior and are used to enhance model development.
  
  

Bonus Skills:

• Experience training machine learning models, familiarity with state-of-the-art ML model architectures.
• Deep experience with a specific aspect of machine learning for autonomous robotics (perception, prediction, or planning).
• Knowledge of C++, especially applied to safety critical systems.
• Experience with systems verification and validation techniques
• Experience with regression testing updates to already-deployed software in a safety-critical environment.
• Experience with automotive standards (E.g: ISO 12207, ISO 26262, ISO 21448)
• Experience with software quality management and assurance activities (E.g: IATF 16949, ISO 9001)
• Thorough understanding of robotics systems including sensors, actuators, mechatronics and software systems
• Work in cross collaboration teams to address problems and find solutions
  
  

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 particlesThe noise level in the environment is low to moderate. 

Motional AD LLC is an Equal Employment Opportunity employer and we welcome all qualified applicants.  All applicants will receive impartial consideration without regard to race, sex, color, national origin, age, disability, veteran status, genetic data, religion, gender identity, sexual orientation or other legally protected status.  Motional AD LLC is a Drug-free workplace.

Role Summary

We are seeking a skilled and passionate Senior Manufacturing Engineer to lead the design and development of advanced automation equipment and assembly lines as we scale our hardware product portfolio. In this role, you will drive cross-functional initiatives to bring innovative hardware solutions from concept through to full-scale production. Collaborating closely with controls, mechanical and electrical design teams, you will implement robust machine and process architecture.  

This role presents a unique opportunity to influence product design from its earliest stages. It is a rare and valuable learning experience for manufacturing engineers to be embedded so deeply in both product and manufacturing development. 

 Responsibilities: 

• Lead Design for Manufacturing (DFM) and Design for X (DFx), Assembly, Quality, Reliability 

• Lead and implement robust manufacturing processes, including process sequencing, critical parameter development, and assembly recipes 

• Drive quality, repeatability, and throughput in both prototype and production environments. 

• Collaborate closely with Design Engineering, NPI, Quality, and Production teams throughout the product lifecycle 

• Act as a technical lead to resolve quality and functional issues in production and with contract manufacturers. 

• Develop data-driven action plans and root cause analyses to ensure timely resolution and continuous improvement. 

• Design and validation of novel prototype tooling and assembly equipment with 3rd third-party equipment builder. 

• Collaborate with the equipment design engineer for in-house equipment development. 

• Oversee internal and external development of equipment and processes for new product introduction and scale-up. 

• Support the ramp-up of production lines, resolving technical issues, optimizing process performance, and ensuring lines meet takt time, yield, and labor efficiency targets. 

• Perform line balancing and capacity planning studies to support efficient line layout, equipment utilization, and throughput targets as production scales. 

• Maintain comprehensive process documentation, participate in Engineering Change Management 

• Drive continuous improvement efforts through data collection, analysis, and feedback loops 

• Mentor technicians and production associates as needed 

Qualifications: 

• Bachelor’s or master’s degree in mechanical, Manufacturing, or Industrial Engineering (or related field) 

• 5+ years of experience in manufacturing engineering, with background in DFM, process development, and high-mix or low-to-high-volume production 

• Hands-on experience in any of the following manufacturing processes: injection molding, die casting, machining, assembly automation, potting, wilding, soldering, laser, adhesion. 

• Experience in participating in large-scale capital equipment design projects. From Request from quotation to FAT, SAT or SOP. 

• Background in concept-to-production equipment development. 

• Experience in data collection and analysis for process development or applicable process engineering expertise 

• Willing to lead cross-functional projects and vendor engagements 

• Experience in problem-solving and a data-driven mindset 

• Familiarity with tools such as OEE, CP, CPK, PFMEA, DOE, root cause analysis, and SPC 

• Written and verbal communication skills 

• Experience working in Agile development environments, including task management and sprint planning using Scrum methodologies and tools like Jira. 

• Ability to travel up to 20% - 25% including internationally 

Bonus Qualifications: 

• Proficiency in CAD software (3D EXPERIENCE (3DX), CATIA, NX, SolidWorks, Creo etc.) for designing mechanical assemblies. 

• Experience with DFM/DFA (Design for Manufacturing/Assembly) methodologies. 

• GD&T and its impact on manufacturability. 

• Knowledge of motion control, pneumatics, hydraulics, and sensors. 

• Knowledge of mechanical, electrical and electronic schematics.  

• Power Electronics Assembly experience is highly valued from energy, automotive, aerospace, semiconductor, or consumer electronics manufacturing. 

• Experience in Overall Equipment Efficiency (OEE) improvements.  

Please note: This role requires working on-site 5 days a week. We do not offer hybrid or remote options.  

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 Staff Machine Learning Engineer, you will serve as a technical leader defining the roadmap and architecture for the machine learning systems that power our data discovery and model improvement lifecycles. Rather than focusing on a single specialized domain, you will leverage your broad ML expertise to architect massive, scalable systems, from multimodal representation learning and active learning loops to hyper-efficient production inference. You will own system-level architecture, lead multi-quarter, multi-person initiatives, and partner across the engineering organization to unblock teams and influence our department-wide technical strategy. By establishing robust processes and mentoring those around you, you will ensure our ML platforms act as a reliable, mission-critical engine for the entire autonomy stack.

What You'll Do:

• Define Technical Strategy & Roadmaps: Develop and execute multi-quarter, high-impact technical roadmaps for core ML systems. Proactively inform leadership to guide reprioritization, ensuring initiatives consistently drive team-wide and department-level OKRs and KPIs.
• Architect System-Level Solutions: Own the system-level architecture for complex ML products. Design scalable frameworks for massive data mining and highly optimized, real-time inference across GPU/CPU clusters.
• Drive Cross-Functional Execution: Lead multi-person projects to completion across teams. Influence partner teams' technical roadmaps (such as Autonomy) to solve shared problems, break down silos, and build alignment.
• Elevate Engineering Excellence: Establish department-wide standards for ML system design, code quality, testing, and deployment. Deliver processes to proactively address issues and participate in org-wide incident response planning.
• Operate as a Generalist Expert: Apply a broad toolkit of ML techniques (deep learning, representation learning, active learning, generative AI) to solve complex, ambiguous problems. Unblock yourself and your team when facing unprecedented technical challenges.
• Mentor and Lead: Act as a role model and technical go-to person. Coach Senior and junior engineers, lead architectural reviews, and elevate Motional’s engineering culture through internal documentation, tech talks, and collaborative design.
  
  

What We're Looking For (Must-Haves):

• BS in Computer Science, Machine Learning, or a related field (or equivalent practical experience)
• 8+ years of hands-on ML engineering experience, with a proven track record of owning architecture, deployment, and optimization of large-scale ML systems
• Demonstrated experience working with multimodal foundation models in ML production systems, including integration, scaling, fine-tuning, or deployment of models that process multiple data modalities (e.g., camera, LiDAR, radar, text)
• Demonstrated technical leadership: defining multi-quarter roadmaps, leading multi-person initiatives, and driving department-level technical strategy
• Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX), backed by strong software engineering fundamentals (system design, CI/CD, containerization)
• Broad ML generalist knowledge, with practical experience spanning model training, deep learning architectures, evaluation methodologies, and production deployment at scale
• Experience deploying ML models in cloud environments (AWS, GCP, or Azure) and optimizing for latency, throughput, and hardware efficiency
• Proven ability to mentor peers, explain complex trade-offs to leadership, and drive consensus across disparate teams
  
  

Bonus Points (Nice-to-Haves):

• MS/PhD in Computer Science, Machine Learning, or a related field.
• Background in autonomous driving, robotics, or complex real-time decision-making systems.
• Experience with massive-scale ML data mining, active learning loops, and contrastive/representation learning.
• Familiarity with multimodal learning, sensor fusion, or large foundation models.
• Deep knowledge of model serving tools (TF Serving, Triton, TorchServe) and enterprise MLOps platforms.
• Demonstrated experience leading org-wide severity reviews or establishing incident response planning for mission-critical ML platforms.
  
  

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.

MongoDB is building a world-class team in North America to create tooling that helps customers modernize their applications and migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise legacy workloads and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model. The tools developed by the Code Generation and Data Migration team are critical in this journey, helping customers with schema modeling, code generation, initial data loads, and continuous data synchronization.

We're looking for a Senior Engineer with a strong background in computer science fundamentals, systems design, experience in the Java ecosystem, streaming systems, and data-intensive applications to join our engineering team. In this role, you will be instrumental in designing, building, and optimizing the underlying data structures, algorithms, and database interactions that power our generative AI platform, code generation and migration tools. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation and  building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React.You will work on critical components that ensure the scalability, efficiency, and reliability of our services, collaborating closely with AI researchers, product management and other engineers to design and implement cutting-edge products that solve complex customer challenges.

This role will be based out of North America in the PST and MST zones only.

The ideal candidate for this role will have

• 2+ years of  engineering experience in backend systems, distributed systems, or core platform development
• Experience in one or several of Java, Rust, C/C++, and/or Python, with a strong understanding of systems-level programming, memory management, and performance tuning
• Experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
• Experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc)
• Exposure to client-side technologies such as JavaScript and React is a plus
• Good understanding of algorithms, data structures and their time and space complexity
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills

Nice to Have

• Familiarity with cloud-native distributed systems (e.g., Kubernetes)
• Experience with NoSQL databases and understanding of their trade-offs is great, but not required. We'll teach you NoSQL
• Contributions to relevant open-source projects

Position Expectations

• Contribute high-quality, well-tested backend code to the data migration engine and core components of our generative AI orchestration platform
• Collaborate effectively with Product Management, AI researchers and machine learning engineers and designers to build and deliver on the product roadmap
• Work to develop robust and efficient backend services that orchestrate AI functionalities
• Identify and address performance bottlenecks and architectural challenges in our systems, particularly within data flow and orchestration
• Participate actively in code reviews to enforce best practices and patterns
• Help troubleshoot and resolve complex technical issues in our distributed systems
• Give and solicit feedback on technical design documents and pull requests
• Perform tasks related to process such as CI/CD, quality, testing, etc 

Success Measures

Within the first three months, you will have:

• Familiarize yourself with the MongoDB database and aggregation language
• Familiarize yourself with the backend tech stack including Java, Spring Boot, and Kafka
• Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
• Started collaborating with your peers and contributed to code reviews

Within six months, you will have:

• Familiarised yourself with the rest of our the application modernization tool stack
• Delivered at least one large scale feature that spans the entire tech stack
• Reviewed and contributed to scope and technical design documents

Within 12 months, you will have:

• Become a key contributor to our backend stack, capable of taking on complex features independently
• Helped recruit and interview new members of the team
• Collaborated effectively with other teams at MongoDB on cross-functional projects

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

REQ ID: 425547

MongoDB Technical Services Engineers use their exceptional problem solving and customer service skills, along with their deep technical experience, to advise customers and to solve their complex MongoDB problems. Technical Service Engineers are experts in the entire MongoDB ecosystem - database server, drivers, cloud and infrastructure. This also includes services such as Atlas (database as a service), or Cloud Manager (which helps customers with automation, backup and monitoring of their MongoDB systems). Our engineers combine their MongoDB expertise with passion, initiative, teamwork and a great sense of humor to achieve exceptional results for our customers.

The Federal Risk and Authorization Management Program (FedRAMP) is a US government-wide program that provides a standardized approach to security assessment, authorization, and continuous monitoring for cloud products and services. Our FedRAMP program requires that anyone who is accessing customer data or metadata inside the Authorization Boundary be a US Citizen on US Soil. In order for us to triage and assign cases, it is necessary to be able to identify available resources at any given time. For this reason the FedRamp team is composed of three separate shifts: first shift, second shift, and third shift. This posting is for Third Shift, in which your working hours would be 8pm-5am PST. There is a desired commitment to this shift though applicants must have the flexibility to work a more typical schedule (12pm-9pm PST) during their ramping period (between 6 to 9 months) before transitioning to Third shift.

Weekend Shift: We are looking to speak to candidates who are interested in working out of our West Coast offices under our flexible or remote working models, Monday to Friday for the first 6-9 months depending on ramping speed. Once considered ramped, they will transition to a permanent Wednesday to Sunday work week to provide weekend coverage alongside other peers. Saturdays and Sundays are considered fully online workdays and not an on-call shift. Due to the 24/7 nature of our support organization, certain events throughout the year will require volunteering for coverage outside one's normal work days or work hours (i.e. regional offsites, regional holidays, etc). These are typically announced weeks in advance with a sign-up system that considers equitability.

Cool things you’ll do

MongoDB is on a mission to change the way people think about databases. Along the way, our customers encounter questions and issues about how our approach to databases works for their use case. In Technical Services, it's our job to help these people.

You'll be working alongside our largest customers, solving their complex issues - resolving questions on architecture, performance, recovery, security, and everything in between. You'll be an expert resource on standard methodologies in running MongoDB at scale, whatever that scale may be. You'll be an advocate for customers' needs - working with our product management and development teams on their behalf. And you'll contribute to internal projects, including software development of support tools for performance, benchmarking, and diagnostics. In addition, you will also be responsible for mentoring and ramping new team members and taking initiatives in building knowledge of new product lines within the MongoDB ecosystem.

What you need

We consider all candidates with an eye for those who are self taught, insatiably curious, and multi-faceted.

It’s important for candidates to check off these boxes:

• Systems engineering experience, including Linux performance, memory management, I/O tuning, configuration, security, networking, clusters, and troubleshooting
• Should have a good understanding of Networking concepts and protocols (DNS, TCP/IP, SSL/TLS, etc)
• Storage engineering experience, including NAS, SAN, SSD, multi-pathing, and caching
• Experience building and maintaining complex mission-critical production database systems
• Be able to read code, and basic coding/scripting ability in one or more languages: Java, Python, Ruby, C, C++, C#, Javascript, node.js, Go, etc
• Broad awareness of customer workloads and use cases, including performance, availability, and scalability
• Experience analyzing issues holistically, from the application tier through the database, down to the storage
• Genuine desire to help people
• Ability to think on your feet, remain calm under pressure, and solve problems in real-time
• Desire and ability to rapidly learn a wide variety of new technical skills
• Collaboration: willingness and ability to get help from team members when required, and the good judgment to know when to seek help

Bonus Points

• Experience managing large scale databases (e.g. RDBMS, NoSQL)
• Experience with authentication systems such as LDAP, Kerberos, AD
• Experience using or managing MongoDB
• Experience using distributed version control systems, and in particular git
• Experience using any cloud services stack such as AWS, Azure or GCP
• Experience with Kubernetes or other orchestration systems using vendor-specific Enterprise operators.

Success Measures

• In 3 months, you’ll have gained a deep understanding of MongoDB and its ecosystem. You will complete New Hire Training
• In 6 months, you will be comfortable working frontline with our customers. You will also complete the MongoDB Certified DBA Associate exam
• In 12 months, you will be a technical specialist within MongoDB and will be helping your peer engineers in advance diagnostics. Also, you will be encouraged to handle technical escalations independently

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 1273373874

Mission Summary:

Motional’s onboard autonomous driving system team works at the intersection of software engineering, machine learning, sensors, and hardware compute platforms to evolve Motional’s next-generation on-board autonomous driving system. As part of this team, the High Performance Compute Platform team is responsible for Motional’s current and next-generation onboard autonomous driving system. If you are a software engineer and love the idea of working on embedded AI hardware and software compute systems to create the next generation of autonomous vehicles, we would love to talk with you. We are hiring in a range of levels, from graduate engineers to Staff engineers.

What You'll Be Doing:

• Design and develop infrastructure software on various hardware platforms for applications such as vision processing, radar systems, safety monitoring, etc., to be run on self-driving vehicles.
• Design test harnesses for embedded software components and full systems
• Provide technical mentorship to engineers.
• Proactively work with cross-functional engineering teams to solve complex and interesting problems.
  
  

What We're Looking For:

• Experience with creating detailed requirements from use cases.
• Ability to lead a technical initiative, including breaking down work and guiding other engineers through execution.
• Experience writing software for embedded platforms in C and C++.
• Experience with Test-Driven Development (TDD).
• Experience working on embedded Linux / RTOSs.
• Experience working with networks (Ethernet, CAN etc.) and the common networking protocols.
• Experience with debugging on embedded platforms.
• Experience writing software in Python and experience doing automation with shell scripting.
• Experience working with ARM Cortex MCUs or Microprocessors.
  
  

Bonus Points (not required):

• Experience working with large data pipelines, and platforms that require deterministic execution.
• Experience using inter-system communication protocols such as I2C and SPI
• Experience deploying Machine Learning models.
• Experience working with GPUs.
• Experience working directly with the Linux kernel or Device Drivers.
• Experience with Simulation and Code Generation, and knowing when their use is appropriate.
• Experience working with Bazel.
• Experience integrating various sensors, including Cameras, IMUs, Radars, LIDARs.
• Experience with PyTorch, TensorFlow, ONNX, and/or other ML frameworks. 
  
  

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 ROLE:

Are you passionate about driving innovation in the data storage industry? Are you skilled in crafting technical solutions that exceed customer expectations? If so, we have an exciting opportunity for you! Everpure (formerly Pure Storage), a leader in the data storage and flash technology space, is seeking a talented and motivated Senior Pre-Sales Systems Engineer to join our dynamic team. 

As a Senior Pre-Sales Systems Engineer, you will play a crucial role in understanding our customers' unique challenges and tailoring Everpure solutions to meet their specific needs. Collaborating closely with the sales team, you will act as a technical expert during the sales process, helping to showcase the value of our products and services.

WHAT YOU’LL DO:

• Develop an exhaustive understanding of what drives a customer’s business and what motivates their decision making
• Connect the dots from technology solutions, inclusive of the Everpure portfolio and others from the ecosystem, to measurable customer business outcomes
• Partner closely with account managers, specialists and channel partners to create a seamless and holistic customer experience and strategy to drive revenue growth and net new business
• Delight customers and teammates with your technical leadership and domain expertise on storage products, distributed storage architectures, file systems, and competitive storage offerings in the DAS, NAS and SAN product spaces
• Take control of evaluations,  benchmarks and system configurations
• Build and deliver technical product and architecture presentations with vigor to customers and lock in the technical win with clients and prospective accounts
• Capture requirements and translate Customer’s business needs into innovative solutions to accelerate their growth and capacity
• Seek out and spur new opportunities for interoperability, functional, and performance testing/validation
• Promote mutual roadmap and planning exchanges
• Liaise with product and technical marketing to produce materials (i.e. whitepaper, web presentations) that support overall alliance plans and objectives
• Stay current with the competition and ensure that materials accurately reflect the latest, differentiated solution positioning
• Move with market trends and competitive landscape to promote thought leadership within our organization
• Lead by example living the Everpure Values:  Persistence, Creativity, Teamwork, Ownership and Customer-first  

WHAT YOU BRING:

• Pre-sales experience is required
• 5 or more years of relevant experience, mixed among technology, design, and communications required. Experience supporting the sales of enterprise storage, networking, systems, cloud, or software to enterprise accounts preferred
• Deep understanding of the architecture, design and implementation of multi-tiered client/server and web-based computing solutions
• Must have a familiarity with modern web architecture a plus (LAMP stack, scale-out vs scale-up architectures, AWS well-architected framework, microservices architecture)
• Prior experience in targeting new prospects and converting them into clients
• Contribute significant portions and/or lead responses to RFPs, RFQs and RFIs
• Superior knowledge of current and emerging storage architectures (FC, iSCSI, NAS, OSD, SAN)
• Previous experience with Linux, NFS file systems and Linux distributed network environment
• Installation/configuration of distributed computing, multiprocessing, virtual memory subsystem, storage subsystems architecture, shared memory architectures, cache architectures, windowing systems
• Strong knowledge of digital transformation to a Cloud Native architecture, On-Prem, Public Cloud, Provisioning Automation, and Containers
• Knowledge of VMware, Local Area Networking, Ethernet, TCP/IP and general networking
• Familiarity with AWS, Azure, GCP, containers, k8s and microservices architectures a plus
• Curiosity and passion around technology and explaining and showing new technology platforms and concepts to customers
• Familiarity with storage-intensive applications and their requirements such as structured databases (SQL, Oracle) is highly desirable
• Excellent verbal and written interpersonal skills

#LI-REMOTE

#LI-JL4

Job Description

As an Instrumentation and Controls Project Engineer you will be joining a growing team of other Electrical and Control System Engineers, Control System Integration Engineers, and Technicians. This position will be designing instrumentation and control systems for Data Centers. Projects range from high level conceptual designs, detailed site designs and retrofits, factory witness testing of equipment, and construction administration and verification. This role will communicate and coordinate with other engineering disciplines, teams, subconsultants, clients, vendors, and contractors to learn, implement, and verify Data Center Building Management Systems are designed and constructed properly. You will be responsible for managing your tasks including the Building Management System (BMS) design, specifications, and drawings. This position may require occasional travel to project sites for meetings, information collection, and construction administration.

Additional duties will include:

• Selection and specification of process instrumentation.
• Selection and specification of Programmable Logic Controllers (PLCs) and Human Machine Interface (HMI) equipment.
• Selection and specification of networking components and media including copper, fiber, and wireless hardware.
• Development of control system (BMS) sequences of operations.
• Submittal review and field inspections.
• Task Management

Job Description

Olsson delivers multidisciplinary design services for some of the world’s most innovative companies. Our U.S. data center projects rank among the largest and most complex engineering efforts today, giving you the chance to shape critical infrastructure that powers global connectivity. 

We are seeking a skilled Project Manager to join our industry-leading Data Center Project Management team. In this role, you will oversee large, multidiscipline design projects throughout the design and construction phases, ensuring the project adheres to the approved design, specifications, and contractual agreements while promptly resolving issues during construction.  You will be responsible for driving the project forward through project closeout, ensuring successful delivery on time, within scope, and on budget. This role will require you to travel to project sites on a weekly basis. 

Primary responsibilities include: 

• Stakeholder Liaison: Act as the primary point of contact between the design team, client representatives, contractors, and stakeholders, ensuring clear communication throughout the project lifecycle. 
• Design Adherence: Oversee the implementation of design intent, ensuring project execution aligns with specifications, contract documents, and quality standards. 
• Technical Coordination: Urgently manage the flow of technical documentation (including RFIs, submittals, and design deliverables), reviewing for cross-discipline completeness and constructability. 
• Project Delivery & Risk: Drive project delivery to meet schedule and budget milestones, proactively identifying and mitigating project risks. 
• Issue Resolution: Lead the resolution of technical and site-specific issues, coordinating between design and construction partners to swiftly address unforeseen conditions or conflicts. 
• Quality Assurance: Conduct regular site observations and quality reviews to verify progress, identify deficiencies, and ensure reporting accuracy. 
• Meeting Leadership: Lead and document project coordination meetings to drive decision-making and team alignment. 
• Change Management: Manage the scope modification process, including the review and negotiation of Change Orders and contract adjustments. 
• Project Closeout: Oversee the closeout process, ensuring the accurate maintenance of record documents and final deliverables.

• 6+ years of project experience in the Architecture, Engineering, and Construction industry with increasing responsibility. 
• 2+ years of experience in industry-related project management or construction management; may be concurrent with project experience. 
• Excellent communication, organization, time management, attention to detail, and problem-solving.  
• Knowledge of engineering/design terms, contracts, financials, and operations. 
• Proven ability to meet client expectations through effective project or construction management. 
• Strong decision-making, leadership, organization, and negotiation abilities. 
• Strong conflict management and resolution skills. 
• Proficiency in MS Office, construction management software, and understanding of construction processes/codes.  

#LI-DD1

Mission Summary:

As a Staff Engineer within the Platform Engineering team, you will be a hands-on technical leader driving the evolution of Motional's global cloud and hybrid infrastructure. Operating as a senior individual contributor, you'll tackle our hardest platform problems directly — designing systems, creating code, and setting technical direction for initiatives that span multiple teams. Your work will help transform our R&D environment into a hardened, cost-efficient, and scalable commercial backbone, and ensure our internal platforms deliver the developer velocity required for rapid AV deployment.

What you'll be doing:

• Design and build major components of our cloud architecture — including networking, storage, compute abstraction layers. You'll own the technical design end-to-end and create code where it matters most
• Drive technical evolution of our Kubernetes-based developer platform. Identify the highest-leverage improvements to scalability, cost attribution, access control, and developer ergonomics — then design and implement them to reduce configuration complexity and accelerate engineering velocity
• Raise the reliability bar across Platform Engineering. Define and implement standards for SLIs, SLOs, observability, and failover, and partner with peer teams to roll them out across platform-layer services
• Drive FinOps practices — cost visibility, attribution, accountability as well as optimization recommendations
• Design and ship AI-native developer experiences by integrating LLM-powered tooling into CI, build systems, monitoring platforms, and local development workflows to remove friction and boost engineering throughput
  
  

What we're looking for:

• Bachelor's or Master's in Computer Science, Engineering, or a related field (or equivalent practical experience)
• 9 years in Software or Infrastructure Engineering, with significant experience in a senior IC capacity
• Deep, expert-level knowledge of Kubernetes internals and ecosystem (Operators (Crossplane, ArgoWorkflow/Airflow, KubeRay), Kubecost/OpenCost, Service Mesh, GitOps and other CNCF projects)
• Proven track record of designing or migrating complex workloads between on-prem data centers and major cloud providers (AWS, GCP, other)
• Experience with Infrastructure-as-Code (Terraform/CloudFormation, Terraform Cloud/Spacelift/Atlantis) and advanced observability tooling (OpenTelemetry, Prometheus/VictoriaMetrics, Grafana, Datadog)
• Expert in architecting AI-driven operations, leveraging LLMs and agentic workflows to automate incident response, predictive scaling, and intelligent system observability
• Demonstrated ability to influence technical roadmaps across an entire engineering organization and mentor senior technical staff
  
  

Bonus points (not required):

• Proven expertise in CI/CD orchestration, build systems (Bazel, RBE), frameworks
• Prior experience with large-scale machine learning training pipelines
• Experience leading technical projects in a globally distributed team
• Open-source contributions to Kubernetes, observability, or infrastructure tooling ecosystems

About Team & About Role:

Rubrik’s sales organization is a united group of elite cross-functional sales professionals that help companies & government entities achieve resilience against cyberattacks, malicious insiders, and operational disruptions. We offer continuous professional development through our world class sales enablement program and our One Rubrik selling approach provides all the resources you need to exceed your goals, maximize your earnings potential and take your career to the next level. All this while doing something that truly matters, protecting the world's data.

As a SaaS Product Line Specialist Sales Engineer, you will provide technical direction and business guidance to the regional sales team. We are seeking a self-starter who will exceed sales quotas by driving innovative technical programs, pipeline generation alongside AEs, customer demonstrations, POCs, and overseeing day-to-day account-level activities. You will be responsible for evangelizing, positioning, and architecting Rubrik’s Data Resilience, Observability and Remediation tools to a targeted list of new & existing customers throughout the Western Region.

What You'll Do:

• Provides technical leadership and direction to Rubrik, customers, and prospects in the development and positioning Rubrik's SaaS solutions (M365, Google Workspace, Jira, Dynamics)
• Serves as a trusted technology advisor to customers and serves as a public cloud subject matter expert when positioning Rubrik's SaaS capabilities to key accounts.
• Leads technical sales calls, gathers / analyzes customer feedback, and identifies trends.
• Qualifies sales opportunities in the terms of customer technical requirements, competition, decision making process and funding.
• Maintains a consistent cadence with product management to ensure product roadmap alignment with customer demands.
• Assists with the development of marketing and sales collateral to ensure alignment with customer needs and technical accuracy.
• Aids in the development and delivery of technical enablement to Rubrik, channel, and alliance partner sales architects.
• Cross-functionally drives the adoption of Rubik's cloud native protection technologies throughout Rubrik and the public cloud ecosystem.

Preferred Qualifications:

• 5+ years of sales engineering experience in an unstructured data environment with a proven track record of success
• Additional preference for experience with M365, Google Workspace, Dynamics, Jira and other SaaS applications
• Driven – need for success, highly energetic with a strong hands-on, “can do” approach.
• The successful candidate must have a fundamental breadth of technical knowledge in cloud data management, backup and disaster recovery and data analytics.
• Entrepreneurial - willing to go the extra mile, strong work ethic, resourceful, “get it done” attitude
• Strives in moving in a fast-paced environment; including handling multiple calls/demos per day with immediate follow up.
• A high level of business acumen and experience working with Cx0 level personnel, bringing technology solutions to solve business challenges.
• Smart, adaptable and open-minded

#LI-CG1

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.

Role Summary

This role requires a blend of deep technical knowledge, regulatory acumen, and strategic thinking to ensure that all firmware and software for Solid-State Transformers (SST) adhere to the highest standards of safety, reliability, and compliance. 

Responsibilities: 

• Develop and oversee compliance implementation for SST firmware and software to meet or exceed industry standards and regulations 

• Continuously perform risk assessments to identify potential compliance issues in firmware development processes and implementation 

• Design, develop, and execute compliance testing protocols, ensuring software meets all regulatory requirements 

• Maintain comprehensive documentation for compliance activities, including test results, compliance reports, and change management logs 

• Assess and audit complete development toolchain for compliance risks and vulnerabilities 

• Work with product and compliance teams to maintain clear communication with regulatory agencies or auditors 

• Guide developers to follow a compliance by design philosophy for relevant software 

• Work with engineers to solve complex problems and ensure project milestones are met 

• Stay updated with new technologies and methodologies to enhance compliance efficiency and effectiveness 

Qualifications: 

• Degree in Electrical Engineering, Computer Engineering, Software Engineering, Computer Science, Mechatronics, etc. with 5+years of professional experience or combined equivalent experience with evidence of exceptional ability 

• 3+years of experience with software compliance, regulatory agencies, and preferably functional safety or electrical standards (IEC 62443, UL 1998, UL 5500, IEC 60730, IEC 62351, etc.) 

• Proficiency in C or C++ for embedded systems 

• Experience with software and firmware testing frameworks 

• Excellent written and verbal communications in English, especially where compliance documentation is concerned 

• Excellent analytical skills to conduct risk assessments and safety analysis (FMEA, HAZOP, etc.) 

Throughout our worldwide network of experts, clients and communities, Jensen Hughes is renowned for our leadership in fire protection engineering – a legacy of responsibility we have proudly upheld since 1939. Today, our expertise extends broadly across closely related security and risk-based fields – from accessibility consulting and risk analysis to process safety, forensic investigations, security risk consulting, emergency management, digital innovation and more. 

Our engineers and consultants collaborate to solve complex safety and security challenges, ensuring our clients can protect what matters most. For over 80 years, we have helped mitigate risks that threaten lives, property and reputations. Through technology, expertise and industry-leading research, we remain dedicated to our purpose of making our world safe, secure and resilient.

At Jensen Hughes, we believe that creating and sustaining a culture of trust, integrity and professional growth starts with putting our people first. Our employees are our greatest strength, and we value the unique perspectives and talents they bring to our organization. 

Our wide range of Global Employee Networks connect people from across the organization, supporting career development and providing forums for individuals to share experiences on topics they're passionate about. Together, we are cultivating a connected culture where everyone has the opportunity to learn, grow and succeed together.

Jensen Hughes is looking to hire college students for internships within our Fire Protection Engineering discipline across our locations throughout the United States.   Please refer to our full list of office locations here.

Responsibilities:

• Performs a variety of technical, both routine and moderately complex tasks that provide familiarity with programs, staff, and operating procedures. 
• Collaborate and work under the direction of engineers to support Code Consulting, Fire Protection engineering and/or Security design efforts.
• Performs developmental assignments involving the application of standard engineering techniques, procedures, and criteria in carrying out routine engineering tasks under close supervision. 
• Applies prescribed method to complete limited and specific portions of the broader assignment of an experienced engineer, adjusts and correlates data, recognizes discrepancies in results and follows operations through a series of related detailed steps or processes. 

Qualifications:

• Working towards a Bachelor’s or Master’s degree in Fire Protection, Mechanical, Chemical, or other related engineering fields 
• At least two years of undergraduate schooling
• Responsible self-starter with problem solving and reasoning skills
• Demonstrate effective written and oral communication skills to write reports, business correspondence, presentations and procedure manuals, and to respond to questions from groups of managers, clients, and the public
• Passion for advancing the science of making our world safe, secure and resilient and exceeding our client expectations

#LI-KS1

Company Overview

Throughout our worldwide network of experts, clients and communities, we are renowned for our leadership in fire protection engineering – a legacy of responsibility we have proudly upheld since 1939. Today, our expertise extends broadly across closely related security and risk-based fields – from accessibility consulting and risk analysis to process safety, forensic investigations, security risk consulting, emergency management, digital innovation and more.

Our engineers and consultants collaborate to solve complex safety and security challenges, ensuring our clients can protect what matters most. For over 80 years, we have helped mitigate risks that threaten lives, property and reputations. Through technology, expertise and industry-leading research, we remain dedicated to our purpose of making our world safe, secure and resilient.

At Jensen Hughes, we believe that creating and sustaining a culture of trust, integrity and professional growth starts with putting our people first. Our employees are our greatest strength, and we value the unique perspectives and talents they bring to our organization. 

Our wide range of Global Employee Networks connect people from across the organization, supporting career development and providing forums for individuals to share experiences on topics they're passionate about. Together, we are cultivating a connected culture where everyone has the opportunity to learn, grow and succeed together.

Job Overview

Jensen Hughes is seeking a Mid to Senior Fire Protection Engineer to add to our growing team in Las Vegas, NV, Phoenix, AZ and Colorado Springs, CO. This strategic growth position calls for an experienced candidate who can work directly with clients and perform their own technical work (“Seller Doer”).  Hybrid work options are available for experienced fire protection engineers with client connections and business development capabilities. The successful applicant will have a well-rounded background in building code and fire code consulting and possess strong analytical and creative thinking skills. The position will coordinate and conduct building plan reviews, interpret the building/fire codes, develop alternative solutions, prepare building design reports, and coordinate with fire protection engineering design teams.

Responsibilities

• Manage and implement a wide variety of consulting projects
• Satisfy client needs and expectations by completing assigned tasks on schedule and within budget
• Coordinate and conduct building and fire code reviews and analyses, including plan reviews and site visits
• Prepare and peer review of project-related technical reports
• Develop fire protection strategies, performance-based design approaches, and alternative solutions to resolve client design issues
• Effectively communicate with project team members, clients, and others

Minimum Requirements 

• Bachelor’s Degree or higher in Engineering (preferably Fire Protection), Architecture, or related field
• Four (4) years of professional Fire Protection Consulting experience

 Preferred Qualifications:

• Eight (8) years of experience in Building Code and Fire Protection Consulting
• Registered Professional Engineer (PE), preferably in Fire Protection Engineering or other professional designation in Fire Protection, is highly desirable (such as NICET Level IV in any of the Fire Protection certifications)
• The ideal candidate will be a "Doer Seller," with client connections and ability to develop new business.
• Excellent verbal and written communication skills
• Experience with developing building code concepts and equivalencies, conducting building plan reviews, and conducting field reviews/inspections
• Experience with project management or specific responsibilities for any portion of large complex projects is preferred
• Ability to present clear and technically sound fire protection engineering strategies
• Ability to work independently and as part of a team, enjoy professional challenges, and endeavor to be an integral part of the long-term growth of Jensen Hughes
  
  #LI-KS1

About Axon 911 

Axon 911 brings together Prepared and Carbyne under Axon. Together, we are creating the only platform that combines modern 911 infrastructure with an AI intelligence layer—helping public safety agencies move faster, make better decisions, and deliver better outcomes in the moments that matter most.

911 is the backbone of public safety, yet the professionals behind it have long been held back by outdated technology. Axon 911 is here to change that. Joining this team means more than taking a job—it means helping shape the future of emergency response and building a safer, more connected world.

Your Impact

As a Senior Sales Engineer, Public Safety (Mountain or Pacific Region), you are both a technical expert and a storyteller. You’ll work closely with Account Executives (AEs), Regional Sales Managers (RSMs), and customers to translate complex technical requirements into compelling solutions. You will lead discovery, configure and demonstrate our platform, manage technical validations, and ensure a smooth handoff to post-sales implementation.

This role is ideal for someone who understands the intersection of technology, public safety operations, and customer success, and who thrives in a mission-driven, fast-paced environment.

What You’ll Do

Pre-Sales Solutioning

• Partner with AEs and RSMs to qualify opportunities, understand customer challenges, and design tailored technical solutions.
• Conduct in-depth discovery with 911 centers, emergency management agencies, and public safety IT teams.
• Deliver engaging product demonstrations, technical workshops, and proof-of-concept sessions tailored to the agency’s environment.
• Lead and respond to RFPs, RFIs, and security questionnaires with accuracy and professionalism.
• Translate complex technical concepts into clear, benefit-focused explanations for non-technical audiences.

Technical Leadership

• Serve as the subject-matter expert for Prepared’s platform architecture, integrations, APIs, and data workflows.
• Provide configuration and system design guidance based on customer requirements, existing CAD/NG911 systems, and IT infrastructure.
• Advise agencies on best practices for network security, system interoperability, and deployment planning.
• Stay up-to-date with public safety software trends, standards (NG911, CAD, RMS, PSAP operations), and competitor offerings.

Sales Enablement & Collaboration

• Work alongside Sales, Product, and Engineering to continuously improve our demo environments, messaging, and field readiness.
• Collect and relay customer feedback to influence product roadmap and technical documentation.
• Support proposal teams with technical content, diagrams, and specifications.
• Assist marketing and partner teams in developing technical collateral, webinars, and events.

Customer Advocacy

• Build trust with agency decision-makers, IT administrators, and operations leaders by demonstrating deep understanding of public safety workflows.
• Ensure technical confidence throughout the sales cycle to accelerate buying decisions.
• Represent Prepared at tradeshows, conferences, and industry events as a technical ambassador.

What You Bring

• 8+ years of progressive experience in public safety, emergency communications, or PSAP operations, with senior-level leadership experience strongly preferred (Director, Assistant Director, Executive Director, or equivalent).
• Demonstrated experience selling, implementing, or enabling public safety software (e.g., NG911 call handling, CAD, RMS, ESInet, radio systems, mass notification, or emergency communications platforms).
• Proven ability to operate as a field-facing technical advisor to Sales—owning discovery, solution design, demonstrations, technical validation, and RFP/RFI responses end-to-end.
• Deep understanding of PSAP workflows, operational constraints, funding models, procurement cycles, and compliance environments, including experience presenting to boards, executives, and elected officials.
• Strong technical fluency across cloud-based platforms, integrations/APIs, network infrastructure, data workflows, and system interoperability within public safety environments.

Additional Requirements

• Track record of building credibility with PSAP directors, IT leadership, emergency management leaders, and dispatch supervisors through consultative, trust-based engagement.
• Experience partnering cross-functionally with Product and Engineering to influence roadmap priorities based on real-world PSAP needs.
• Comfortable operating in high-growth, ambiguous environments with minimal playbooks—able to create structure, demo narratives, and field enablement materials where needed.
• Exceptional executive communication and storytelling skills—able to translate technical capability into operational ROI and mission impact.
• Willingness to travel up to 75% and represent Prepared as a technical ambassador at industry conferences and customer events.

Public Safety Technology & Systems Expertise

Candidates who are well-positioned for success in this role typically bring hands-on experience working with the core technology systems that power emergency communications centers.

This may include experience with:

• 911 call handling systems (CHE) such as VESTA, Viper, or Solacom
 • Computer-Aided Dispatch (CAD) platforms used to manage emergency response workflows
 • Radio console systems supporting multi-agency communications
 • Logging recorders used for call review, compliance, and operational analysis
 • Network and traffic analysis tools, such as Wireshark, used to troubleshoot system performance and integrations

Successful candidates often have direct experience supporting, configuring, troubleshooting, or operating these systems within PSAPs, ECCs, or other mission-critical public safety environments.

Work Location

This is a fully remote role open to candidates based in the United States. Candidates located in the Mountain or Pacific regions are strongly encouraged to apply. Due to the nature of the position, up to 75% travel is required, including customer meetings, training sessions, and industry events.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, dental, and Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

Pay Transparency

Axon offers a comprehensive total compensation package, which includes base salary, a generous annual bonus, and company equity.

The starting base salary for this role ranges from $110,000 to $160,000 annually, excluding commission and bonuses, and varies based on geographic market. Actual base pay will depend on several factors, including level, function, training, transferable skills, work experience, business needs, and location.

Our benefits are designed to support you physically, financially, and emotionally—through life’s major milestones and in your everyday moments. To learn more about our benefits, please visit www.axon.com/careers/benefits.

Motional’s Las Vegas office is located less than 10 miles from the Las Vegas strip at 730 E Pilot Road and is home to one of the largest fleets of self-driving vehicles. The city’s grid system of roads and being one of America’s “smart cities” allows for extensive research and development testing.

Mission Summary:

We are seeking a motivated Test Control Engineer to join our Team. In this strong intermediate level role, you will take full ownership of assigned tasks within defined test execution procedures and support the broader Test Engineering team in validating sophisticated autonomous systems. Working under the guidance of senior engineers, you will ensure our vehicles and systems are mission-ready through rigorous readiness checks, real-time monitoring, and low-level subsystem validation.

Key Responsibilities:

• Test Execution & Readiness: Take full ownership of assigned tasks within defined test procedures, including specific checklist items and system monitoring. Perform all pre- and post-test readiness checks completely, accurately, and on time. 
• Set up, configure, and operate AB Dynamics systems (GST, Launchpad), including target preparation and robot operation.
• Execute structured scenario-based testing using track infrastructure and robotic platforms.
• Subsystem Validation: Execute and support fault injection and low-level control testing for critical subsystems, including actuator-level behavior (throttle, brake, steering) against expected control responses and safety constraints.
• System Monitoring: Provide timely and accurate real-time monitoring of assigned system statuses during testing to ensure safe and successful execution.
• Technical Support: Execute basic configuration and setup of instrumentation and telemetry. Assist in on-vehicle and off-vehicle tests focusing on critical components such as control systems and perception.
• Utilize Vector tools (CANalyzer/CANoe) for live debugging, signal tracing, and post-test analysis.
• Documentation & Triage: Maintain accurate, organized, and complete logs of all test activities. 
• Analyze vehicle logs (CAN, telemetry, system logs) to identify anomalies and support root cause analysis (RCA).
• Collaborate directly with developers to reproduce issues and validate fixes.
• Issue Escalation: Promptly and clearly escalate all anomalies or issues to a senior engineer immediately upon detection.
• Simulation Support: Support testing within virtual environments, including Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) platforms.
  
  

Qualifications:

• Technical Proficiency: Proficiency with laptop computers, GSuite apps, and touchscreen smartphones. Strong familiarity with Linux environments and a general understanding of low-level vehicle control systems.
• Hardware & Tools: Basic exposure to automotive communication protocols (CAN, LIN, Ethernet) and tools like CANalyzer or CANoe for bus-level debugging.
• Programming & Data: Basic exposure to scripting languages such as Python, Bash/Shell, or SQL. Ability to analyze logs to assess system behavior.
• Communication: Proactive communicator who raises issues early and clearly with minimal prompting. Demonstrated ability to operate as a self-starter in fast-paced, ambiguous environments.
• Professionalism: Punctual, reliable, and a strong team player who works cooperatively as a supportive member of the test execution team.
• Operational Requirements: Must be able to safely maneuver around autonomous vehicles and multitask with various technologies. Ability to work flexible shifts (mornings, evenings, weekends, or overnights) and travel up to 15% with short notice. Hands-on work at test track environments is a core part of this role. Comfortable working around vehicles, hardware, and test equipment daily.
• Physical Demands: Must be able to sit for extended periods and occasionally lift or move up to 50 pounds. Must be comfortable working outdoors in various weather conditions.
• Driver’s License: A valid driver's license is required.
  
  

Preferred Qualifications:

• General awareness of industry safety standards such as ISO 26262 and ISO 21448 (SOTIF).
• Experience with automated test case execution.
• Experience with track-based testing using robotics platforms.
• Experience testing low-level vehicle control systems (body-controls, braking, steering)
  
  

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.

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.

While performing the duties of this job, the team member is regularly exposed to outside weather conditions, road conditions, and pedestrian traffic.  The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and airborne particles.  The noise level in the environment is low to moderate.

Motional AD LLC is an Equal Employment Opportunity employer, and we welcome all qualified applicants.  All applicants will receive impartial consideration regarding race, sex, color, national origin, age, disability, veteran status, genetic data, religion, gender identity, sexual orientation, or another legally protected status.  Motional AD LLC is a Drug-free workplace.

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.

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 particlesThe noise level in the environment is low to moderate.

Mission Summary:

The Staff Systems Safety Engineer:

• Oversees the development and implementation of engineering safety processes for our autonomous vehicle systems
• Is responsible for reviewing hazards, risk assessments, and ensuring compliance with industry safety standards (ISO 26262, SOTIF, and ASIL).
• Collaborates with cross-functional teams, including software, hardware, and AI engineers, to ensure integration of safety into the design and validation of our AV system
  
  

Essential Duties:

• Ensure and oversee the development and implementation of  system safety processes for autonomous vehicle platforms.
• Ensure hazard analysis and risk assessments (HARA) for AV components and subsystems are conducted.
• Assist in the definition and verification of functional safety requirements in compliance with ISO 26262 and SOTIF (ISO 21448).
• Collaborate with hardware, software, and AI teams to integrate safety measures into perception, decision-making, and control systems.
• Support the development of failure mode and effects analysis (FMEA) and fault tree analysis (FTA) for AV systems.
• Ensure compliance with regulatory and industry safety standards, including SAE J3016, NHTSA, and UNECE WP.29.
• Ensure the development and execution of safety verification and validation plans, including simulation, testing, and real-world driving scenarios.
• Work with certification bodies and regulators to ensure safety case documentation and approval processes.
• Contribute to the development of safety culture within the organization by providing guidance and training
  
  

Qualifications:

Educational Requirements

• Bachelor’s or Master’s degree in Systems Engineering, Electrical Engineering, Computer Science, Mechanical Engineering, or a related field 

Technical / Specialized Knowledge, Skills, Abilities:

• 5+ years industry and 3+ years of experience in safety engineering for automotive, aerospace, or robotics systems.
• Strong knowledge of functional safety standards (ISO 26262, SOTIF, ASIL).
• Knowledge of systems / software engineering standards (INCOSE, ISO15288, ASPICE CMMI)
• Experience with hazard analysis, risk assessment, and safety case development.
• Proficiency in safety analysis tools (e.g., Medini Analyze, Ansys, Fault Tree+, FMEA software).
• Familiarity with autonomous vehicle architectures, including perception, planning, and control systems.
• Experience working with real-time embedded systems and software safety.
• Strong problem-solving, analytical, and communication skills.
• Experience with machine learning safety challenges in AVs.
• Knowledge of cybersecurity principles related to vehicle safety (ISO/SAE 21434).
• Experience in safety assurance for AI-driven systems.
• Previous work with automotive OEMs, Tier 1 suppliers, or AV startups

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.

Working Environment:

The work environment characteristics described here are representative of 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. 

While performing the duties of this job, the team member is regularly exposed to the office environment, outside weather conditions, road conditions, and pedestrian traffic.  The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and airborne particles.  The noise level in the environment is low to moderate. When traveling, the team member will be exposed to airports, airplanes, hotels and public transportation environments.

This role is based in our Pittsburgh or Las Vegas office and requires in-office days each week.

Motional’s Las Vegas office is located less than 10 miles from the Las Vegas strip at 730 E Pilot Road and is home to one of the largest fleets of self-driving vehicles. The city’s grid system of roads and being one of America’s “smart cities” allows for extensive research and development testing.

Mission Summary:

The Autonomous Vehicle (AV) Test Engineering team at Motional is responsible for validating the safety, functionality, and performance of our self-driving technology and commercial operations platform through rigorous, system-level testing. Motional is seeking a highly skilled and motivated Senior Automation Test Engineer to join our AV Test Engineering team. In this role, you will lead the design, development, and execution of backend and frontend automation frameworks for our fleet operations platform — the operational backbone of our commercial robotaxi service. You will also lead and mentor a fellow automation engineer, driving best practices and continuous improvement across the team.

What you'll work on:

• Own the architecture, development, and maintenance of scalable backend and frontend test automation frameworks for a fleet operations platform, with a primary focus on backend API and service-level validation.
• Design and execute comprehensive automated test suites covering backend services, APIs, and data pipelines, as well as frontend UI workflows within the operations platform.
• Lead integration testing efforts for third-party APIs and internal services, ensuring reliable end-to-end data flow across fleet management, dispatching, and monitoring systems.
• Develop automation solutions primarily in Python and Go for backend testing, and JavaScript for frontend validation, while proactively adopting new tools and frameworks as the platform evolves.
• Lead, mentor, and collaborate with one automation test engineer, providing technical guidance, code reviews, and support for professional development.
• Partner closely with software engineers and product teams to define test strategies, identify coverage gaps, and establish quality gates within CI/CD pipelines.
• Conduct root-cause analysis on test failures and system defects, driving resolution across backend services and frontend interfaces.
• Contribute to documentation, test plans, and operational frameworks that bring clarity and transparency to the automation testing process for all stakeholders.
  
  

What we're looking for:

• 5+ years in software QA or test automation, with a strong emphasis on backend and API testing.
• Bachelor's degree or higher in Engineering, Computer Science, or a related technical field.
• Technical Expertise:
• Hands-on proficiency in Python and Go for backend test automation, and JavaScript for frontend automation.
• Demonstrated experience designing and building automation frameworks from the ground up for complex, distributed systems.
• Experience with REST/gRPC API testing, service integration validation, and data pipeline verification.
• Experience with CI/CD pipelines and integrating automated quality gates for production-grade software releases.
• Proven ability to lead technical efforts, operate autonomously, and drive cross-functional collaboration.
• Ability and willingness to quickly learn new tools, frameworks, and technologies as the platform and stack evolve.
  
  

Bonus points:

• Experience with autonomous vehicle fleet monitoring, dispatching, or fleet management systems.
• Experience with Uber API or similar ride-hail/transportation platform integration testing.
• Familiarity with cloud telemetry systems or AV data pipelines.
• Experience in a cross-site or global engineering organization.
• Master's degree in a relevant field.

 This role is based in our Las Vegas office and requires in-office days each week.

Motional’s Las Vegas office is located less than 10 miles from the Las Vegas strip at 730 E Pilot Road and is home to one of the largest fleets of self-driving vehicles. The city’s grid system of roads and being one of America’s “smart cities” allows for extensive research and development testing.

This role is based in our Las Vegas office and requires in-office days each week.

Mission Summary:

Join us as a key technical leader in Las Vegas as we launch our commercial Autonomous Vehicle (AV) ride service. We are seeking a Staff Software Engineer with a strong product mindset to bridge the gap between our Operations partners and our global Engineering team. You will lead the development of critical operational tools—like fleet management and orchestration systems—while shaping the roadmap to ensure our technology meets real-world needs.

What You'll Be Doing:

Hands-on Development & Leadership

• Build High-Impact Ops Tools: Lead the coding and delivery of frontend and backend services that the Operations team uses daily to monitor and manage the fleet. You will balance long-term scalability with the need for immediate operational solutions.
• Act as the primary engineering presence at the Las Vegas AV operation center, providing real-time technical support and troubleshooting to ensure daily mission success.
• You will interview and onboard future hires, mentor junior engineers, and define the workflows (handovers, async communication, documentation standards) that enable seamless collaboration between Las Vegas and Singapore.

Product Engineering & Stakeholder Alignment

• Own the "Ops-to-Tech" Bridge: Partner deep with Operations, Product, and TPMs to translate complex, real-world fleet challenges into clear, actionable technical requirements for the global engineering team.
• Shape the Tooling Roadmap: Drive the vision for our fleet management and orchestration systems. You won't just build tickets; you will identify the right problems to solve to increase fleet efficiency and reduce manual toil.
• Feedback Loop Architect: Design processes and features that turn qualitative operational feedback into quantitative data, helping the global team prioritize platform improvements.

What We're Looking For:

• 8+ years of professional experience as a software engineer, with a proven track record of designing and building distributed systems.
• Strong "Product" Mindset: You are obsessed with value. You can look at a chaotic operational floor and architect a software solution that brings order and efficiency.
• Experience supporting production systems with a customer-centric mindset and strong communication skills.
• Ability to manage stakeholders (Ops, Product) and communicate effectively with a remote engineering team to get things done without owning the entire stack.
• Proficiency in Golang / Python for web service and scripting.
• Experience building cloud services using SQL and NoSQL databases.
• A Bachelor's or Master's in Computer Science, Engineering, or a related field (or equivalent practical experience).

Bonus Points (not required): 

• Experience with Amazon Web Services (AWS), Docker, and Terraform.
• Experience with OLAP databases (e.g., ClickHouse) or building observability tools for monitoring and tracing.
• Previous experience in the Autonomous Vehicle (AV), Robotics, or IoT industries.

Motional’s Las Vegas office is located less than 10 miles from the Las Vegas strip at 730 E Pilot Road and is home to one of the largest fleets of self-driving vehicles. The city’s grid system of roads and being one of America’s “smart cities” allows for extensive research and development testing.

This role is based in our Las Vegas office and requires in-office days each week.

Mission Summary:

Join us on the ground floor as we launch our commercial Autonomous Vehicle (AV) ride service. We are looking for a mission-driven Senior Software Engineer to join our Command Center team. You will be the vital link between our real-world AV operations and our core development team, ensuring our vehicles run smoothly and our technology rapidly evolves.

What will you be doing:

AV operations integration & support

• Act as the primary engineering presence at the Las Vegas AV operation center, providing real-time technical support and troubleshooting to ensure daily mission success.
• Resolve production incidents to reduce downtime and strengthen feedback loops between on-road operations and global engineering teams.
• Become the go-to technical expert, surfacing operational insights that influence our product roadmap and support commercial launch readiness.

Command Center feature development

• Design and develop software tools that enhance AV fleet operations, including cloud platform, over-the-air deployment, and fleet management systems.
• Build and maintain foundational technologies including ride-hail partner integration and the global scaling of the autonomous vehicle service.
• Collaborate cross-functionally to deliver scalable, efficient solutions aligned with both engineering and operational requirements.

What we're looking for:

• 5+ years of professional experience as a software engineer, with a proven track record of designing and building distributed systems.
• Strong Product Mindset: You focus on real-world impact. You can identify bottlenecks within a busy operational workflow and design software solutions that bring order and efficiency.
• Experience supporting production systems with a customer-centric mindset and strong communication skills.
• Experience working independently and collaborating effectively with a globally distributed team across different time zones.
• Proficiency in Golang / Python for web service and scripting.
• Experience building cloud services using SQL and NoSQL databases.
• Comfortable working in a fast-paced, continuous delivery environment.
• A Bachelor's or Master's in Computer Science, Engineering, or a related field (or equivalent practical experience).

Bonus Points (not required):

• Experience with Amazon Web Services (AWS), Docker, and Terraform.
• Experience with OLAP databases (e.g., ClickHouse) or building observability tools for monitoring and tracing.
• Previous experience in the Autonomous Vehicle (AV), Robotics, or IoT industries.

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.

Mission Summary:

The Autonomous Vehicle (AV) Test Engineering team at Motional is responsible for validating the safety, functionality, and performance of our self-driving technology through rigorous, system-level testing. As a Senior AV Test Engineer, you will take a lead role in the strategy, planning, and execution of comprehensive test campaigns that span perception, planning, and control systems across virtual, closed-course, and public road environments.

In this role, you will guide test development efforts across multiple AV subsystems, mentor junior engineers, and drive improvements to our tooling, test infrastructure, and methodologies. You will lead cross-functional initiatives that directly impact release readiness and safety assurance, translating high-level engineering requirements into scalable test plans and measurable quality outcomes. Your work will contribute to iterative development, fault injection analysis, and validation of safety-critical systems that meet the highest standards for reliability and compliance.

Essential Duties:

Technical Leadership & Validation:

• Lead the planning, design, and execution of validation campaigns across simulation, SIL, HIL, and on-vehicle environments, with a focus on perception, planning, and control systems.
• Serve as the technical lead for scenario-based testing, utilizing platforms like Applied Intuition or equivalents for synthetic and re-simulation use cases.
• Lead AV capability campaigns, employing AB Dynamics equipment for system-level validation and performance benchmarking.
• Own the creation and execution of test plans for complex mechatronic and software systems, including drive-by-wire (DBW), braking, steering, and system integrations.

Test Infrastructure & Analysis:

• Develop and maintain robust test infrastructure using Python, Shell, and automation frameworks, ensuring modular, reusable, and scalable test architecture.
• Conduct detailed analysis of logs and system behavior, supporting root-cause investigations across AV software and hardware components.
  
  

Quality Assurance & Compliance:

• Participate in and lead QA review cycles, helping to define entry/exit criteria, regression coverage, and release readiness gates.
• Ensure traceability and compliance by documenting procedures, results, and outcomes using Jira, GitLab, and Confluence.
• Contribute to compliance with safety-critical standards such as ISO26262, ISO21448 (SOTIF), and ISO9001.
  
  

Collaboration & Mentorship:

• Represent the Test Engineering function in cross-functional planning meetings, collaborating closely with perception, planning, controls, and safety teams.
• Mentor and support junior Test Engineers, providing technical guidance and fostering a culture of continuous learning and improvement.
  
  

Strategic Adaptation & Support:

• Continuously adapt and optimize test strategies in response to evolving product requirements, architectural shifts, and real-world findings.
• Support after-hours testing or incident triage as needed by fleet or field operations.
• Travel domestically on occasion to support on-site testing or operational deployments.
• Perform additional duties as assigned.

Required Qualifications:

• Bachelor's degree or higher in Engineering, Robotics, ECE, Computer Science, or a related technical field.
• 5+ years of experience in software QA or system testing, including AV, ADAS, robotics, or safety-critical systems.
• Demonstrated expertise in test strategy, test case development, test execution, and automation for complex mechatronic or autonomous systems.
• Experience leading end-to-end testing across software stacks and physical systems, including SIL, HIL, and real-world deployments.
• Strong analytical skills with proficiency in debugging, log parsing, and root cause analysis.
• Excellent verbal and written communication skills, with the ability to drive cross-functional alignment and effectively report technical findings.
• Proven ability to lead technical efforts, mentor junior engineers, and operate with minimal oversight.
• High level of initiative, ownership, and accountability in a fast-paced, startup-style engineering environment.
• Flexible schedule and willingness to support late meetings, night shifts, or urgent test activities as required.

Preferred:

• Master’s degree in a relevant field.
• Deep familiarity with CAN-based tools (CANalyzer, CANoe) for fault injection, bus analysis, and subsystem verification.
• Working knowledge of industry standards for safety-critical systems such as ISO26262, ISO21448 (SOTIF), and ISO9001.
• Familiarity with AV safety case development or safety validation workflows.
• Experience with robotic middleware (e.g., ROS), cloud telemetry systems, or AV data pipelines.
• Experience in a cross-site or global engineering organization.
  
  

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.

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.

While performing the duties of this job, the team member is regularly exposed to outside weather conditions, road conditions, and pedestrian traffic.  The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and airborne particles.  The noise level in the environment is low to moderate.

Motional AD LLC is an Equal Employment Opportunity employer, and we welcome all qualified applicants.  All applicants will receive impartial consideration regarding race, sex, color, national origin, age, disability, veteran status, genetic data, religion, gender identity, sexual orientation, or another legally protected status.  Motional AD LLC is a Drug-free workplace.

Mission Summary:

The Autonomous Vehicle (AV) Test Engineering team at Motional is responsible for validating the safety, functionality, and performance of our self-driving technology through rigorous, system-level testing. As an AV Test Engineer, you will take a lead role in the strategy, planning, and execution of comprehensive test campaigns that span perception, planning, and control systems across virtual, closed-course, and public road environments.

Motional is seeking a highly skilled and motivated Senior/Mid-Level AV Test Engineer to join our AV Test Engineering team. You will play a lead role in validating the safety, functionality, and performance of our self-driving technology through rigorous, system-level testing across virtual, closed-course, and public road environments, with a direct focus on commercial readiness of our robotaxi service.

This role requires a proven technical leader who can guide test development, drive continuous improvements to our infrastructure, and ensure high standards for release readiness and safety assurance as we move towards mass deployment.

What you'll work on:

• Own the planning, design, and execution of comprehensive validation campaigns across Perception, Planning, and Control systems using simulation, SIL, HIL, and on-vehicle environments, specifically targeting scenarios critical for robotaxi service reliability and rider experience.
• Drive test execution and documentation to meet the highest standards, ensuring system compliance with safety-critical standards (ISO26262, ISO21448 (SOTIF)), with an emphasis on Operational Design Domain (ODD) limits and safe fallback behavior.
• Develop, maintain, and enhance robust, scalable test infrastructure and automation frameworks using Python, Shell, and relevant platforms to support high-volume, fleet-wide software rollouts.
• Serve as a technical lead for scenario-based testing (using tools like Applied Intuition) and AV capability campaigns, focusing on testing for end-to-end mission performance and service uptime.
• Service Readiness Validation:
  • Design and execute testing for non-driving features critical to the commercial service, including rider interactions, remote assistance handoffs, fleet operations protocols, and over-the-air (OTA) update verification.
  • Define and track Service Quality Indicators (SQI) and KPIs related to rider experience and operational efficiency during validation.
• Conduct detailed log analysis, support root-cause investigations across AV software and hardware, and utilize CAN-based tools for subsystem verification, particularly diagnosing issues impacting fleet efficiency and customer satisfaction.
• Lead QA review cycles, define release readiness gates for commercial software, represent Test Engineering in cross-functional forums, and mentor junior engineers.

What we're looking for:

• 5+ years in software QA or system testing, specifically within AV, ADAS, robotics, or safety-critical systems.
• Bachelor’s degree or higher in Engineering, Robotics, ECE, Computer Science, or a related technical field.
• Technical Expertise:
• Demonstrated expertise in test strategy, automation, and end-to-end testing for complex mechatronic/autonomous systems.
• Experience planning and executing tests in a simulated environment, both HIL and SIL
• Experience with CI/CD pipelines and integrating quality gates for production-grade software releases.
• Proven ability to lead technical efforts, mentor, operate with minimal oversight, and drive cross-functional alignment with teams like Fleet Operations and Product.

Bonus points:

• Master’s degree in a relevant field.
• Deep familiarity with CAN-based tools (CANalyzer/CANoe) and logging/debugging techniques.
• Working knowledge of industry safety standards (ISO26262, SOTIF).
• Familiarity with AV safety case development or safety validation workflows.
• Experience with robotaxi service features (e.g., in-cabin HMI testing, rider support systems).
• Experience with ROS, cloud telemetry systems, or AV data pipelines.
• Experience in a cross-site or global engineering organization.

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.

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.

While performing the duties of this job, the team member is regularly exposed to outside weather conditions, road conditions, and pedestrian traffic.  The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and airborne particles.  The noise level in the environment is low to moderate.

Role Summary 

This role is an opportunity to work with a high-agency startup team operating in the hard-tech and energy systems space. You will play a critical role in designing, building, and scaling the backend systems that power Amperesand’s factory software and interacting with ERP, analytics, and operational software platforms. 

This is a hands-on role. You will architect and deliver production-grade backend services that support high-concurrency, high-availability workloads across manufacturing, supply chain, and enterprise operations. The role requires close collaboration with frontend, product, AI, and domain expert teams — along with a strong sense of ownership, systems thinking, and pragmatism in building reliable software for real-world operations. 

Responsibilities

• Own the design, architecture, and implementation of backend systems for Amperesand’s factory software and interactions with ERP, analytics, and operational platforms. 

• Build and scale high-concurrency, high-availability services in Go to support mission-critical manufacturing and business workflows.  

• Design robust APIs, service interfaces, and data models that enable frontend applications, analytics systems, and internal tools.  

• Develop backend capabilities for workflow orchestration, machine and system integrations, telemetry ingestion, operational event processing, and reporting.  

• Build distributed systems that are reliable, observable, and resilient under production load.  

• Optimize backend performance across service latency, throughput, data access patterns, and system resource utilization.  

• Collaborate closely with frontend, product, and domain teams to translate operational requirements into scalable backend architectures.  

• Drive best practices for service reliability, fault tolerance, testing, deployment, and maintainability.  

• Contribute to technical strategy and architecture decisions across backend, infrastructure, and platform layers.  

• Mentor other engineers through code reviews, design reviews, and strong engineering standards.  

• Leverage AI-assisted development tools where useful to improve engineering velocity, code quality, and developer productivity.  

•  Document service designs, architecture decisions, and tradeoffs for cross-functional stakeholders. 

Qualifications

• 7+ years of experience in backend or distributed systems engineering, including production deployments in scalable environments.  

• Strong experience with Go and building production backend services.  

• Proven experience designing systems for high concurrency, high availability, and fault tolerance.  

• Experience building backend platforms for operational systems such as MES, ERP, analytics, workflow engines, or other enterprise/business-critical software.  

• Strong understanding of API design, microservices, distributed system patterns, and asynchronous/event-driven architectures.  

• Experience with databases and data systems such as PostgreSQL, Redis, MQTT, NATS, ClickHouse, or similar technologies.  

• Familiarity with real-time data processing, telemetry pipelines, and backend systems that support dashboards, reporting, and analytics.  

• Experience with observability and production operations, including logging, metrics, tracing, alerting, and incident debugging.  

• Familiarity with cloud infrastructure and containerized deployment environments such as AWS, Kubernetes, and Docker.  

• Strong testing discipline across unit, integration, and end-to-end service validation.  

• Comfortable working with AI coding tools such as Copilot, Cursor, Claude, or similar tools to supplement and accelerate development.  

• Proficiency in English and ability to communicate effectively with wider teams.  

• Ability to travel up to 20%, including international 

• Ability to walk or tour through the factory to test the software 

Bonus Qualifications

• Background in energy engineering systems (power systems, energy storage, power electronics, or controls). 

• Experience in manufacturing, industrial automation, supply chain, energy systems, or other operational technology domains 

• Experience designing systems that integrate with machines, PLCs, IoT devices, or external enterprise platforms. 

• Experience with MES, digital twins, or asset health monitoring. 

• Open-source contributions to backend projects. 

• Experience working within or building design systems.  

• Experience building backend platforms that support AI-enabled workflows, data capture, or operational intelligence systems.  

• Familiarity with CI/CD workflows and software DevOps practices. 

• Experience working with hardware, firmware, or operations teams. 

Please note: This role requires working on-site 5 days a week. We do not offer hybrid or remote options. 

Responsibilities: 

• Lead the industrialization of new suppliers and products, ensuring a smooth transition from development to volume production. 

• Serve as the primary company representative at supplier sites, overseeing manufacturing and production activities while supporting our teams globally in driving our development & production goals.  

• Support and monitor all supplier quality initiatives to ensure compliance with company standards. 

• Collaborate with suppliers to implement and maintain quality testing procedures, ensuring components meet technical and performance requirements. 

• Act as the liaison between suppliers and cross-functional teams in Singapore and the U.S., facilitating material readiness, engineering design alignment, and seamless communication. 

• Identify, evaluate, and onboard global suppliers and establish strategic partnerships to secure high-quality materials and components that meet production requirements 

• Collaborate with engineering, manufacturing, quality, and supply chain teams to ensure supplier readiness and alignment with technical specifications, cost targets, and production timelines. 

• Monitor and control material inventory levels at suppliers to support ramp-up schedules and reduce material shortages. 

• Analyze supplier capabilities, lead times, design for manufacturing support, and potential risks to develop mitigation strategies that prevent production disruptions. 

• Support and optimize logistics for new suppliers and products, including transportation planning and customs requirements. 

• Support the Supply Chain team in defining and monitoring KPIs such as supplier performance, delivery timelines, quality metrics, and ramp-up success to identify areas for process improvement. 

• Partner with cross-functional teams and leadership to align supplier industrialization activities with overall business objectives and production forecasts. 

Qualifications:  

• Bachelor's degree in an engineering related field.  A master's degree is preferred.  Ideally someone with experience working on electrical power products.  

• 8+ years' experience in a mix of engineering, program management & supply chain fields with evidence showing an exceptional ability to manage multiple complex projects simultaneously.  

• Proven experience working in an organization focused on new technologies, the NPI process, and in a startup environment.  Ideally someone that has experience developing supplier capabilities.  

• Strong knowledge of international trade regulations and customs processes.  

• Demonstrated ability to work and lead cross functionally by managing teams / projects. 

• Exceptionally strong communication skills that demonstrate an ability to communicate visually, verbally, and in writing.  

• Experience working with engineering teams focused on electrical systems, power electronics, or other similar products in a manufacturing / production environment. 

• Ability to work well under pressure while simultaneously managing competing priorities, challenges, and risks.  Effective response to adapting to competing priorities, risks, and program changes as needed and quickly.  

• Willingness and ability to travel up to 50% including internationally 

Please note: This role requires working on-site 5 days a week. We do not offer hybrid or remote options. 

Salary: $145,000-$165,000 annual

Role Summary

In this role, you will lead the control architecture and system behavior of advanced AC-DC and DC-DC power conversion platforms across low- and medium-voltage applications. You will define and drive control strategies for complex converter topologies, including multilevel and resonant systems. As a Staff engineer, you will own system-level control decisions, set technical direction across programs, and ensure performance targets are achieved from concept through production. You will work across modeling, digital control development, embedded implementation, hardware integration, and validation to deliver robust, scalable, high-performance power conversion solutions. You will also mentor engineers and raise the technical standard of the control organization

Responsibilities:

• Own control architecture for advanced power conversion systems across AC-DC and DC-DC platforms.

• Own system-level dynamic performance (stability, bandwidth, transient response, robustness, efficiency) from concept through production.

• Drive control strategy across interacting power stages and ensure stable operation under all operating conditions.

• Define digital control execution requirements and ensure real-time implementation meets system performance targets.

• Lead system-level stability analysis and performance closure under aggressive development timelines.

• Establish validation methodology and acceptance criteria, including frequency response, transient testing, and fault handling robustness.

• Lead complex root-cause investigations across hardware, firmware, sensing, and protection domains.

• Drive control-related risk assessment (DFMEA) and mitigation planning across development programs.

• Ensure control solutions scale across product variants and future platforms.

• Influence system-level trade-offs across topology, sensing, control strategy, performance, cost, and power density.

• Elevate control engineering standards through rigorous design reviews, modeling discipline, and mentorship.

Qualifications:

• Degree in Electrical Engineering or equivalent industry experience with strong specialization in power electronics and control systems.

• 5+ years of experience designing and deploying digital control for power converters in commercial or industrial applications.

• Demonstrated ownership of control architecture or system-level dynamic performance in complex power conversion systems (e.g., multi-stage, high-power, grid-connected, or modular platforms).

• Strong expertise in advanced converter control, including resonant, multilevel, or other high-performance topologies across isolated and non-isolated systems.

• Experience with solid-state transformer (SST) architectures or tightly integrated multi-stage AC-DC/DC-DC systems is strongly preferred.

• Deep command of control theory, including multi-loop stability analysis, loop interaction mitigation, nonlinear system behavior, and dynamic modeling.

• Proven experience implementing and guiding high-performance real-time digital control on embedded platforms (DSP/MCU/SoC).

• Strong proficiency in embedded C and ability to review and influence real-time control implementation decisions.

• Extensive hands-on laboratory experience debugging high-power systems and leading system-level validation and performance closure.

• Demonstrated ability to independently resolve complex, cross-domain technical challenges and drive cross-functional trade-off decisions.

Bonus Qualifications: 

• Exposure to medium-voltage power electronics systems.

• Experience with multilevel or modular converter architectures.

• Experience with bidirectional power flow control.

• Experience supporting products from R&D through production release.

• Experience contributing to patents or novel control techniques.

Role Summary 

We are seeking a technically sharp and strategically minded Staff Patent Engineer to join our team, focused on protecting and advancing our intellectual property portfolio in medium voltage solid-state transformer (SST) technology. In this role, you will serve as a senior IP leader at the intersection of cutting-edge power electronics engineering and patent strategy, driving innovation identification, portfolio development, and IP governance in close collaboration with R&D leaders, product teams, and legal counsel. 

Responsibilites 

• Lead patentability strategy for our medium voltage Solid State Transformer product portfolio, working directly with R&D and product teams to identify and protect breakthrough innovations. 

• Own end-to-end invention disclosure development — from engineering conversations to submission-ready disclosures — and manage prosecution activities in close coordination with outside patent counsel. 

• Conduct prior art searches and provide expert patentability assessments for new inventions spanning power conversion topologies, control algorithms, magnetics, thermal management, and grid integration. 

• Define and execute a long-range IP portfolio strategy aligned to our SST product roadmap and business objectives. 

• Monitor the competitive patent landscape across medium voltage power electronics and SST-adjacent technologies to inform R&D and product strategy. 

• Mentor engineers across the organization on invention identification, disclosure best practices, and IP awareness to build a strong innovation culture. 

• Serve as the primary IP interface between engineering teams, business development, and legal counsel throughout the product lifecycle. 

• Support international patent filing strategies (PCT, EPO) in coordination with outside counsel. 

Qualifications 

• Technical degree in Electrical Engineering, Power Electronics, or a closely related field; Master's or Ph.D. strongly preferred. 

• 5–8 years of experience in power electronics engineering, with solid expertise in medium voltage systems, solid-state transformers, or advanced converter technologies. 

• Proven track record of building and managing IP portfolios in a complex, fast-moving technology domain. 

• Strong working knowledge of power semiconductor devices (IGBTs, SiC MOSFETs), converter topologies (DAB, resonant converters, multilevel), and grid-connected applications. 

• Demonstrated ability to read, interpret, and strategically evaluate patent claims and technical literature. 

• USPTO registration as a Patent Agent or Patent Attorney strongly preferred. 

• Experience using patent search and analytics platforms (Derwent, PatSnap, Espacenet, or similar). 

• Entrepreneurial mindset with a bias toward action and the ability to drive IP initiatives with a high degree of ownership. 

• Excellent written and verbal communication skills — able to translate complex engineering concepts into clear, strategically sound patent language. 

• Willingness and ability to travel up to 10%, including internationally. 

Please note: This role requires working on-site 5 days a week. We do not offer hybrid or remote options. 

Salary: $170,000-$210,000/annual DOE and location

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.