Senior Engineer - On-site

Who is Trace3?Trace3 is a premier Transformative IT Authority, delivering innovative technology solutions and consulting services that empower our clients. Our elite engineering and dynamic innovation help IT executives and organizations gain a competitive edge through our process of Integrate, Automate, Innovate.At Trace3, we foster a culture that blends th…

At Tensorwave Cloud, we are dedicated to creating a seamless, secure, and resilient AI infrastructure on a large scale, breaking down barriers and redefining the norms to empower innovators and nurture AI advancements.Role OverviewWe are looking for a proactive Site Reliability Engineer with a robust software engineering background, tasked with the design, construction, and maintenance of highly scalable, secure, and resilient infrastructure.In this pivotal role, you will engage in low-level systems design, automate infrastructure using contemporary tools, and ensure platform reliability.This position is perfect for individuals who thrive at the intersection of systems programming and DevOps, proficient in coding with Go, JavaScript, Rust, C, or Zig while managing infrastructure with NixOS, Kubernetes, and Terraform.Key ResponsibilitiesDesign, build, and sustain infrastructure systems utilizing Linux and NixOS.Utilize Terraform for infrastructure-as-code to provision and scale resources effectively.Architect and operate Kubernetes clusters with an emphasis on performance, security, and automation.Develop high-performance tools and internal utilities in Go or Rust.Create and manage CI/CD pipelines for infrastructure and code deployments.Monitor system performance, troubleshoot issues, and enhance reliability through observability tools.Work collaboratively with engineering teams to support deployment strategies and development workflows.Required QualificationsBachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience.5+ years of experience in DevOps, Site Reliability, or Infrastructure Engineering roles.Proficiency in one or more low-level programming languages such as Rust or Go.Extensive experience with Linux systems and configuration management.Hands-on experience with Terraform, Kubernetes, and containerized environments.Strong understanding of systems programming, performance tuning, and operating system internals.Familiarity with CI/CD practices and infrastructure monitoring/alerting tools.

Role overview Trace3 seeks a Tier 1 Engineer to work on-site in Las Vegas, NV. This position centers on technical support and troubleshooting for client systems, ensuring their reliability and smooth operation. Key responsibilities Handle client support requests and resolve technical issues as they arise Troubleshoot both hardware and software problems Implement solutions to maintain efficient system performance for clients Work location This role requires on-site presence in Las Vegas, NV.

About the Role Slickdeals is looking for a Senior Data Engineer in Las Vegas, NV. This role focuses on building and refining data pipelines that support analytics and business decisions. The work involves close collaboration with teams across the company to make sure data stays accurate and available. What You Will Do Design, implement, and improve data pipelines Work with teams from different departments to understand data needs Maintain data integrity and make information accessible for analysis and reporting

Phasor Engineering Inc, a proud subsidiary of Quanta Services, Inc, stands as a premier specialty contractor, renowned for having the largest and most highly trained skilled workforce across North America. Our mission is to deliver fully integrated infrastructure solutions tailored for the electric power, underground utilities, and communications sectors.Within our esteemed Geomatics Division, we offer essential spatial services that are vital for constructing, maintaining, mapping, and monitoring electrical infrastructure. By employing cutting-edge geomatics technology—spanning GPS systems, terrestrial scanners, drones, high-precision optical and infrared sensors, and helicopter-based LiDAR—we ensure top-tier service delivery.Our specialization in power infrastructure projects has positioned us as experts in the field. The Phasor Geomatics team comprises highly qualified engineers and technicians, each possessing extensive experience with large transmission line constructions, renewable energy initiatives, remote inspections, pipeline projects, and more. We consistently leverage our expertise to innovate and enhance efficiency and value for our clients.Currently, Phasor’s Geomatics division is in search of a Survey Crew Chief to join our team for long-term opportunities across Canada and the United States, working on large-scale construction projects.

Join Desert Parkway as a Financial Analyst or Senior Financial Analyst and take your career to the next level. We are seeking a detail-oriented professional to provide critical financial insights and support strategic decision-making within our organization.

Join our dynamic team at dstaff as a Senior Software Engineer specializing in Android. In this role, you will be responsible for designing, developing, and maintaining high-quality mobile applications that delight our users. You will work closely with cross-functional teams to deliver innovative software solutions that meet business needs.

Role overview Speechify seeks a Senior Software Engineer to focus on Windows and desktop application development. This position is located in Las Vegas, NV. What you will do Design, build, and refine software for desktop platforms, with a primary focus on Windows environments. Collaborate with product, design, and engineering teams to deliver new features that improve the user experience. Take part in the entire development cycle, from initial concept through release and ongoing updates. Collaboration This engineer works closely with cross-functional teams to ensure applications align with user needs and maintain high quality standards.

SummaryThe Senior Engineer for Windows & Cloud Systems will focus on managing applications and systems across our on-premises Windows, Microsoft Azure, and AWS environments. The ideal candidate possesses in-depth knowledge of client/server applications and their underlying technologies. The Allegiant Operations Team is tasked with supporting all customer-facing IT systems and services for Allegiant Air. Visa Sponsorship: Available

Anduril Industries is a pioneering defense technology firm dedicated to enhancing the capabilities of the U.S. and allied military forces through innovative technologies. By integrating the cutting-edge expertise, technologies, and business models of the 21st century's most forward-thinking companies, Anduril is fundamentally transforming the design, manufacturing, and deployment of military systems. At the heart of Anduril's operations lies Lattice OS, an AI-powered platform that consolidates vast data streams into a real-time, interactive 3D command and control center. As global strategic competition intensifies, Anduril is committed to delivering groundbreaking advancements in autonomy, artificial intelligence, computer vision, sensor fusion, and networking technology to military applications in a fraction of the traditional timeline.This role seeks a dynamic and detail-oriented Senior Flight Test Engineer who will take the lead on the developmental testing of a revolutionary Group 5 UAS. Collaborating closely with program leadership and cross-functional teams, you will be instrumental in establishing a team dedicated to addressing complex challenges and reshaping the industry. Your responsibilities will encompass planning, coordinating, executing, and reporting on all aspects of the test program.The Test and Evaluation team at Anduril spans all product lines and business areas, managing flight operations and test range activities. Our team undertakes comprehensive system-level development testing, production acceptance testing, component qualification testing, and more. If you thrive in a highly innovative, fast-paced environment where your contributions have a direct impact on fielded products, this position represents an exceptional opportunity.

Mission Summary: At Motional, we are revolutionizing the way autonomous vehicles extract vital intelligence from vast amounts of multimodal sensor data. Our cutting-edge autonomous driving stack relies on identifying rare edge cases, long-tail scenarios, and critical model errors. Our ML-powered multimodal data mining framework, Omnitag, serves as the backbone for this discovery process. As a Senior Machine Learning Engineer on the Data Mining team, you will be tasked with constructing the "Brain" of this framework. This involves designing large-scale multimodal Teacher models that comprehend the intricacies of the world, followed by distilling them into highly efficient Student models capable of processing exabytes of data in near real-time. Your contributions will sit at the crossroads of large-scale representation learning, retrieval optimization, and reasoning systems. You'll directly affect how we compress knowledge into effective encoders for rapid searches and how we utilize reinforcement learning to enhance data discovery workflows and intelligent querying. By developing smarter mining tools, you'll expedite the entire model improvement lifecycle for teams engaged in 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 efficient training pipelines for knowledge distillation while ensuring that student models achieve high accuracy with minimal inference latency and memory usage. Reinforcement Learning for Data Discovery: Create RL-based policy learning and reasoning systems tailored for autonomous driving applications. Implement and scale RL training workflows (e.g., PPO, DQN, actor-critic methods) for both simulation and real-world interactions. Investigate reward shaping, environment modeling, and multi-agent RL when relevant. Optimize Model Deployment for Real-Time Inference: Collaborate with backend engineers to deploy distilled and RL models into production, optimizing for latency, throughput, and hardware efficiency across GPU/CPU clusters. Implement model versioning, A/B testing, and performance regression monitoring. Research and Integrate Agentic Systems: Explore and prototype workflows for autonomous reasoning, chain-of-thought prompting, and goal-directed behavior. Integrate these systems into our broader autonomy stack as experimental or production components. Drive Production Reliability: Establish patterns and protocols that enhance the reliability of our production systems.

Mission Overview:The Autonomous Vehicle (AV) Test Engineering team at Motional is dedicated to ensuring the safety, functionality, and performance of our cutting-edge self-driving technology through rigorous and systematic testing protocols. As a Senior AV Test Engineer, you will play a pivotal role in strategizing, planning, and executing extensive test campaigns covering perception, planning, and control systems across various environments, including virtual simulations, closed courses, and public roadways.In this capacity, you will lead the development of testing initiatives across multiple AV subsystems, mentor junior engineers, and spearhead enhancements to our testing tools, infrastructure, and methodologies. Your leadership will be crucial in driving cross-functional projects that significantly influence product readiness and safety assurance, translating complex engineering specifications into actionable test plans and quantifiable quality metrics. Your contributions will be essential in advancing iterative development, conducting fault injection analyses, and validating safety-critical systems that adhere to the highest standards of reliability and compliance.

At Tensorwave Cloud, we are dedicated to crafting seamless, secure, and scalable AI infrastructure that empowers innovators and disrupts the conventional landscape.About the RoleWe are seeking a Senior Full Stack Software Engineer who will take the lead in designing, developing, and enhancing our cloud-based dashboards, real-time monitoring solutions, and vital internal systems that support engineering and operations at scale.This role offers significant impact and ownership for those who thrive on diving deep into infrastructure, architecting resilient full-stack solutions, and delivering tools that enhance the efficiency and reliability of our organization.You will guide systems from conception through to production, encompassing infrastructure provisioning, backend services, data pipelines, and user-friendly frontends, ensuring they remain secure, performant, and straightforward to manage in our dynamic environment.As a key team member, you will influence strategy, establish best practices, and create foundational systems that our engineers depend on daily.

Join Motional as a Senior Software Engineer focusing on Autonomous Vehicle Performance Metrics. In this role, you will contribute to the development of cutting-edge technologies that enhance the performance and safety of autonomous vehicles. You will work alongside a talented team of engineers and researchers, leveraging your expertise to innovate and optimize software solutions.

Motional’s Las Vegas office, conveniently located under 10 miles from the iconic Las Vegas Strip, is a hub for one of the largest fleets of self-driving vehicles. The city’s advanced grid system and designation as one of America’s leading “smart cities” provide an ideal environment for extensive research and development.This position is based in our Las Vegas office and will require in-office attendance several days each week.Mission Summary:Become a key player in our journey as we introduce our commercial Autonomous Vehicle (AV) ride service. We are in search of a dedicated Senior Software Engineer to join our Command Center team, where you will serve as the crucial link between our real-world AV operations and our core development team. Your efforts will ensure smooth vehicle operations and drive the rapid evolution of our technology.Key Responsibilities:AV Operations Integration & SupportServe as the principal engineering presence at the Las Vegas AV operation center, offering real-time technical support and troubleshooting to guarantee daily mission success.Address production incidents to minimize downtime and enhance feedback loops between on-road operations and our global engineering teams.Establish yourself as the go-to technical expert by providing operational insights that shape our product roadmap and support our readiness for commercial launch.Command Center Feature DevelopmentDesign and develop innovative software tools to optimize AV fleet operations, including cloud platforms, over-the-air deployment, and fleet management systems.Construct and maintain essential technologies, including ride-hail partner integration and the global scaling of our autonomous vehicle services.Collaborate across functions to deliver scalable and efficient solutions that meet both engineering and operational requirements.

Location: Las Vegas, Nevada, United States Motional develops autonomous driving technology aimed at making driverless vehicles safe, reliable, and accessible. Backed by Hyundai Motor Group, Motional works to advance transportation safety and sustainability through real-world deployment of AI-powered vehicles. Team: Systems Readiness and Performance This group bridges software development and real-world application. The team leads system design, validates the autonomy stack, and sets measurable performance targets. Collaboration with autonomy, infrastructure, and operations teams is key to building the safety case for launching fully driverless IONIQ 5 robotaxis in Las Vegas. Role overview The Senior Engineer, Autonomy Machine Learning Systems, joins the Autonomy Subsystems team, which designs and evaluates autonomy software modules. This role centers on improving machine learning subsystems within Motional's autonomy stack. Evaluate machine learning models using offline testing, open and closed-loop re-simulations, and on-road performance analysis Define and track metrics for autonomy subsystem performance Validate machine learning model performance against established metrics Deliver insights to machine learning developers and teams to help improve model performance in deployed vehicles Requirements Experience designing and evaluating safety-critical systems and machine learning models Interest in autonomy, robotics, and machine learning Motivation to help build production-ready systems for scaled robotaxi deployment

Join us at the forefront of technology, where we are transforming the data storage industry through innovative solutions. As part of our team, you'll lead with creativity, grow alongside us, and collaborate with some of the brightest minds in the field.If you're eager to embrace the multitude of opportunities available and make a significant impact, we invite you to be part of our journey.THE ROLE:Do you have a passion for innovation in the data storage sector? Are you adept at designing technical solutions that exceed client expectations? If yes, we have an exciting opportunity for you! Everpure, a renowned leader in data storage and flash technology, is looking for a talented and driven Senior Pre-Sales Systems Engineer to become part of our dynamic team.In this role, you will be instrumental in understanding the unique challenges faced by our customers and customizing Everpure solutions to address their specific needs. Collaborating closely with the sales team, you will serve as a technical expert throughout the sales process, helping to articulate the value of our products and services.WHAT YOU’LL DO:Gain an in-depth understanding of the factors influencing customer decisions and their business drivers.Link technology solutions, including the Everpure portfolio and ecosystem partners, to tangible business outcomes for customers.Work closely with account managers, specialists, and channel partners to deliver a seamless and comprehensive customer experience that fosters revenue growth and new business opportunities.Impress customers and colleagues with your technical leadership and domain expertise in storage products, distributed storage architectures, file systems, and competitive offerings across DAS, NAS, and SAN solutions.Manage evaluations, benchmarks, and system configurations effectively.Create and present dynamic technical product and architecture presentations to clients, securing technical wins with current and prospective accounts.Capture client requirements and translate their business needs into innovative solutions that enhance growth and capacity.Identify and cultivate new opportunities for interoperability, functional performance testing, and validation.Facilitate mutual roadmap discussions and planning sessions.Collaborate with product and technical marketing teams to develop supporting materials (e.g., whitepapers, web presentations) that align with overall alliance strategies and objectives.Stay informed about competitive products and market trends.

Join Motional as a Senior Automation Test Engineer, where innovation meets cutting-edge technology in the field of autonomous vehicles. In this pivotal role, you will leverage your expertise in automation testing to enhance our software systems, ensuring the highest quality and performance of our products.

Mission Overview: The Senior Systems Safety Engineer: Leads the design and execution of engineering safety protocols for our cutting-edge autonomous vehicle (AV) systems. Takes charge of hazard evaluations, risk assessments, and guarantees adherence to established safety standards such as ISO 26262, SOTIF, and ASIL. Engages with interdisciplinary teams, including software, hardware, and AI specialists, to ensure safety is seamlessly integrated into the AV system design and validation processes. Core Responsibilities: Supervise and implement comprehensive system safety procedures for autonomous vehicle platforms. Conduct thorough hazard analyses and risk assessments (HARA) on AV components and subsystems. Support the definition and validation of functional safety requirements in line with ISO 26262 and SOTIF (ISO 21448). Collaborate with hardware, software, and AI teams to embed safety measures into perception, decision-making, and control subsystems. Contribute to the creation 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. Oversee the development and execution of safety verification and validation plans, encompassing simulation, testing, and real-world driving scenarios. Work alongside certification bodies and regulatory agencies to facilitate safety case documentation and approval workflows. Promote a culture of safety within the organization by providing guidance and training.

At Tensorwave Cloud, we are dedicated to constructing a seamless, secure, and robust AI infrastructure that operates at scale. Our aim is to break down barriers and redefine industry standards, empowering innovators and fostering AI advancements.About the PositionWe are in search of a Senior Machine Learning Engineer who will design and manage the essential systems that drive large-scale ML training and inference on TensorWave’s GPU platform. This position encompasses workload orchestration, cluster operations, performance optimization, and enhancing the developer experience for production ML workloads.Key ResponsibilitiesArchitect, manage, and enhance ML infrastructure systems that support distributed training and inference workloads.Develop reliable and repeatable workload execution and orchestration strategies within shared GPU environments.Diagnose and resolve performance, reliability, and scalability challenges across the ML stack.Collaborate with ML, systems, and platform teams to enhance developer experiences and operational effectiveness.Required QualificationsBachelor of Science in Computer Science, Computer Engineering, or a related technical field, or equivalent professional experience.Proficient in supporting production ML systems utilizing SLURM and Kubernetes.Deep understanding of GPU-accelerated workloads and concepts of distributed systems.Strong Linux skills with experience in troubleshooting infrastructure-level issues.Ability to create automation and tools using Python, Go, or similar languages.Preferred QualificationsExperience across schedulers, orchestration platforms, or cluster management tools.Familiarity with large-scale GPU environments or high-performance computing (HPC) systems.Track record of enhancing infrastructure reliability, efficiency, or performance at scale.What We OfferMission-driven organization.Competitive salary package.Stock options.Comprehensive medical coverage fully paid by the employer.