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Job Description Company Overview Unicity was founded with a bold mission to make healthy living a reality in an on-the-go world. Unicity's business model is person to person sales which has given a personal touch to our sales and growth. This position would be located in Las Vegas, NV and will be on-site. Unicity is dedicated to developing innovative, science-based products and programs that promote metabolic health and improve the quality of life for people everywhere. For over 30 years, Unicity has been dedicated to developing high-quality products that contain the vital nutrients your body needs. With the proper process, cutting-edge technology, and a mission to Make Life Better, Unicity is paving the way for a better tomorrow. In addition to competitive pay we can offer: • Heath, Dental, Vision, Life and other benefits that begin within a month, • Paid Parental Leave, • Generous vacation allowance in addition to company paid holidays, • 401(k) with company match, • Substantial company product allowance, • Reimbursement for internet, cell phone and gym/wellness activities About the Role: Summary/Objective The Machine Operator is responsible for the successful learning, operation, and basic preventative maintenance of assigned production equipment. This role is key to maintaining efficient production processes, ensuring quality output, assisting in the training of new employees, and supporting all other production area needs. Essential Functions • Responsible for the complete lifecycle of assigned production equipment, including start-up, operation, change over, shut down, and routine preventative maintenance as prescribed by P.M. charts., • Operate and monitor multiple processes on high-speed automated or semi-automated manufacturing equipment., • Perform essential manual tasks such as loading and supplying production line items, reworking product, and loading conveyors., • Maintain the work area and equipment in a clean, orderly condition, strictly adhering to prescribed safety regulations., • Ensure all required production and maintenance documentation is completed accurately and timely., • Responsible for producing quality finished goods, proactively identifying, and eliminating non-conforming product., • Receive and be responsive to frequent supervision and assistance with regard to machine set-up and operations., • Complete all required tasks related to the effective and efficient operation of the assigned manufacturing area., • Strictly adhere to company policies, current Good Manufacturing Practices (cGMPs), and Standard Operating Procedures (SOPs). Competencies • Teamwork Orientation, • Time Management and Organization, • Performance Management, • Results-Driven Focus, • Basic Mathematical Skills, • Strong verbal and written communication skills Supervisory Responsibility This position has no direct supervisory responsibilities. Work Environment While performing the duties of this job, the employee is frequently exposed to fumes or airborne particles, moving mechanical parts, and vibration. The noise level in the work environment can be loud. Employee may be exposed to powdered raw materials that may have commonly recognized allergens. Physical Demands The physical demands described are representative of those that must be met by an employee to successfully perform the essential functions of this job. • Lifting/Moving: Must frequently lift and/or move up to 10 pounds and occasionally lift and/or move up to 50 pounds., • Movement: Occasionally required to sit; climb or balance; and stoop, kneel, crouch or crawl., • Vision: Specific vision abilities required include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus. Position Type/Expected Hours of Work This is a full-time position. Hours of work are Monday through Friday, 8:00 a.m. to 5:00 p.m., totaling 40 hours per week. No travel is expected for this position. Required Education and Experience • Minimum of 1 year of food/dietary supplement manufacturing experience., • Training in general safety, electrostatic discharge awareness, foreign object damage awareness, and quality system awareness. Preferred Education and Experience • Prior experience specifically as a Machine Operator.

Overview: WHY COOLSYS? At CoolSys, we offer more than just a job—we provide stability, growth, and industry-leading benefits for our employees. No wonder Newsweek named CoolSys one of America’s Greatest Workplaces! As a large company serving diverse customers, we invest in our team with: • Competitive Compensation: $37.00- $45.00 hr., • Ongoing Education & Training: Access to state-of-the-art facilities and paid online training., • Comprehensive Benefits: Medical, Dental, Vision, and Prescription coverage, paid vacation/holidays, and a 401(K) match with 100% immediate vesting., • Year-Round, Diverse Work: Stay engaged with consistent, interesting projects throughout the year, working across various industries and systems to keep learning and growing., • Extra Perks: Quarterly bonus plan, tuition reimbursement, employee discounts on vehicles, hotels, theme parks, pet insurance, and more. Join us and advance your career while working with top-tier clients in the HVAC and refrigeration industry! Responsibilities: This position is responsible for assisting in the repair and overhaul of equipment, refrigeration, heating, and ventilation equipment to ensure customer needs are met efficiently, accurately, and on time. • Provides service to the customer base by repairing and overhauling equipment, such as compressors, water pumps, air handlers, and electrical and mechanical control devices in a safe, efficient, and timely manner that exceeds customers’ expectations, • Provides general repair work on refrigeration, heating, and ventilation equipment, such as air conditioning units, evaporative condensers, ice machine equipment, water pumps, gas furnaces, compressors, and electric motors in a safe and timely manner., • Provides preventative maintenance activities for customers by diagnosing equipment malfunction and any operating deficiency of the mechanical equipment to ensure quality work performance for the customer base., • Test malfunctioning systems and components using electrical and/or mechanical skills., • Maintain legible corporate and personal records of work history., • Provides department support by processing job tickets, and work orders to the necessary department promptly., • Provide support by picking up, delivering, and installing cases., • Perform work on minor construction and remodeling projects including startups of new installations., • Drives company vehicle in a safe manner., • Performs other related duties and projects as assigned by management. Qualifications:, • High school diploma/GED., • EPA certification., • Certification from an accredited vocational-technical or trade school a plus!, • Minimum 3+ years of commercial refrigeration experience required., • Experience working on refrigeration equipment in convenience stores or supermarkets a strong plus., • Familiarity with single systems and rack systems along with previous work on display cases and walk-in boxes is very helpful., • Must have a good driving record and be able to work independently., • Emergency on-call availability is a basic requirement., • Must be able to lift up to 60 lbs. with no assistance and also be able to sit and/or stand for several hours at a time. Join Us: Today, there are 26 different companies that make up the CoolSys family of brands. Our valued employees are at the heart of our continued growth and success. We invite you to be part of that growth! Connect with us on and . Coolsys is an EEO/AA Employer. All qualified individuals - Including all ages, colors, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other characteristics are encouraged to apply. Pre-employment background screening (criminal and MVR for driving positions) and drug testing are required for all positions. Coolsys will consider qualified applicants with criminal histories in a manner consistent with federal law, state law, or local ordinance. Service Tech, refridgeration, HVAC, refrigeration, HVAC-R, HVAC/R, diagnostic, commercial, service, install, mechanical, mechanic, apprentice, AC, field service, chiller, specialist, HVACR, supermarket, rack systems

Job Description Overview WHY COOLSYS? At CoolSys, we offer more than just a job—we provide stability, growth, and industry-leading benefits for our employees. No wonder Newsweek named CoolSys one of America’s Greatest Workplaces! As a large company serving diverse customers, we invest in our team with: • Competitive Compensation: $23.00- $28.00 hr., • Ongoing Education & Training: Access to state-of-the-art facilities and paid online training., • Comprehensive Benefits: Medical, Dental, Vision, and Prescription coverage, paid vacation/holidays, and a 401(K) match with 100% immediate vesting., • Year-Round, Diverse Work: Stay engaged with consistent, interesting projects throughout the year, working across various industries and systems to keep learning and growing., • Extra Perks: Quarterly bonus plan, tuition reimbursement, employee discounts on vehicles, hotels, theme parks, pet insurance, and more. Join us and advance your career while working with top-tier clients in the HVAC and refrigeration industry! Responsibilities This position is responsible for assisting in the repair and overhaul of equipment, refrigeration, heating, and ventilation equipment to ensure customer needs are met efficiently, accurately, and on time. • Provides service to the customer base by repairing and overhauling equipment, such as compressors, water pumps, air handlers, and electrical and mechanical control devices in a safe, efficient, and timely manner that exceeds customers’ expectations, • Provides general repair work on refrigeration, heating, and ventilation equipment, such as air conditioning units, evaporative condensers, ice machine equipment, water pumps, gas furnaces, compressors, and electric motors in a safe and timely manner., • Provides preventative maintenance activities for customers by diagnosing equipment malfunction and any operating deficiency of the mechanical equipment to ensure quality work performance for the customer base., • Test malfunctioning systems and components using electrical and/or mechanical skills., • Maintain legible corporate and personal records of work history., • Provides department support by processing job tickets, and work orders to the necessary department promptly., • Provide support by picking up, delivering, and installing cases., • Perform work on minor construction and remodeling projects including startups of new installations., • Drives company vehicle in a safe manner., • Performs other related duties and projects as assigned by management. Qualifications • High school diploma/GED., • EPA certification., • Certification from an accredited vocational-technical or trade school a plus!, • Minimum 1-2 years of commercial refrigeration experience required., • Experience working on refrigeration equipment in convenience stores or supermarkets a strong plus., • Familiarity with single systems and rack systems along with previous work on display cases and walk-in boxes is very helpful., • Must have a good driving record and be able to work independently., • Emergency on-call availability is a basic requirement., • Must be able to lift up to 60 lbs. with no assistance and also be able to sit and/or stand for several hours at a time.

Job Description Mission Summary: The Senior Safety Engineer supports the management of our safety case and the execution of our safety management systems for our autonomous robotaxi organization. This role is responsible for the hands-on application of safety assurance, functional safety, and regulatory compliance to ensure our technology meets industry standards. The position collaborates with cross-functional engineering and operations teams to ensure "safety is our bedrock" values are integrated into every technical requirement. What you'll be doing: • Execute safety case management tasks in alignment with internal development partners., • Support internal and external audits by maintaining safety documentation for 3rd party reviews., • Implement strategic programs and initiatives designed to improve and develop our safety culture., • Provide technical data and analysis for safety governance through risk assessment committees and safety review boards. Safety Case Management: • Support the development, maintenance, and continuous improvement of the company-wide Safety Case, including hazard identification, risk assessments, mitigations, and safety assurance arguments, • Collaborate with engineering, product, operations, and validation teams to ensure safety evidence is complete, traceable, and aligned with regulatory frameworks (e.g., NHTSA, ISO 26262, ISO 21448/SOTIF, UL 4600), • Lead cross-functional reviews of safety arguments and maintain governance structures for approval, change control, and release., • Compile status reports on safety gaps and risks for review by the Senior Organizational Safety Manager. Third-Party Auditing & Compliance: • Prepare technical evidence and documentation for external safety audits and certification bodies., • Participate in audit readiness programs to ensure consistent documentation and traceability across engineering teams., • Execute corrective action plans from findings to drive systemic improvements., • Stay current on evolving industry standards and regulatory expectations for AV safety. Organizational Safety Culture Development: • Assist in implementing a safety management system to strengthen proactive safety behaviors., • Collect and monitor behavioral safety metrics to identify opportunities for improvement. What we're looking for: • 5+ years relevant industry experience in technology development / safety critical systems, and 2+ years of experience in safety engineering for autonomous / robotics system in a leadership role, • Experience with safety-critical systems in automotive, aerospace, or autonomous vehicles, • Working knowledge of safety standards such as ISO 26262, ISO 21448 (SOTIF), or UL 4600, • Strong background in hazard analysis, system reliability, and safety case development., • Experience or familiarity with AI/ML-based perception or decision-making systems., • Familiarity with autonomous vehicle architectures, including perception, planning, and control., • Ability to communicate technical safety arguments to a variety of stakeholders., • Experience with machine learning safety challenges in autonomous vehicles., • Bachelor's or Master's degree in Systems Engineering, Electrical Engineering, Robotics, or a related field. 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. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$125,000—$167,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job DescriptionThe Opportunity We are building an elite AI Red Team to stress-test and harden enterprise-scale AI products deployed to some of the world’s largest organizations. This is not a theoretical research role. This role sits at the intersection of adversarial machine learning, enterprise security architecture, and governance. You will lead the design and execution of structured red team engagements across multiple AI systems — and translate technical risk into enterprise-aligned assurance. If you have ever been frustrated watching AI risk findings remain stuck in a slide deck with no operational impact, this role is designed to change that. What You’ll Do • Design and lead adversarial testing of LLM and AI-driven systems, • Conduct threat modelling across model, infrastructure and data layers, • Execute and oversee testing for:, • Prompt injection, • Jailbreaking, • Model exploitation, • Data leakage / extraction, • RAG system manipulation, • Translate findings into structured, audit-ready documentation, • Map vulnerabilities and remediation pathways to:, • ISO 27001 controls, • SOC 2 Trust Service Criteria, • ISO 27701 privacy controls, • ISO 27017 cloud security controls, • Partner closely with engineering, security, and compliance functions, • Present findings clearly to executive leadership This role ensures AI security findings integrated into enterprise governance frameworks. Requirements What We’re Looking For Core Technical Depth • Strong understanding of adversarial machine learning, • Experience red teaming LLM or AI systems, • Deep familiarity with AI deployment architectures (RAG, APIs, vector DBs, fine-tuning pipelines), • Strong Python proficiency Enterprise Security & Governance Fluency • Experience working within ISO 27001 environments, • Practical knowledge of SOC 2 Trust Service Criteria, • Understanding of ISO 27701 privacy extensions, • Familiarity with ISO 27017 cloud security controls, • Ability to map technical findings to control frameworks Communication & Documentation • Ability to produce clear, structured, audit-friendly documentation, • Comfortable presenting technical risk to executive audiences, • Strong written and verbal communication skills Who You Are • Systems thinker, • Curious and adversarial in mindset, • Comfortable identifying uncomfortable truths, • Autonomous and fast-moving, • Enterprise-aware, not just technically strong, • Able to operate independently under executive leadership You understand that security is about both breaking systems and integrating findings into operational and compliance posture. Benefits • Comprehensive Private Medical Coverage, • Support for Mental Health Expenses, • Life Insurance Options, • Attractive Compensation Package

Job Description WHO WE ARE… ASTOUND is a global experiential powerhouse with three core verticals: Brand Experiences, Sports Experiences, and Immersive Entertainment. From trade shows and large-scale events to experience centers and IP-driven attractions, we create programs that combine creative excellence, operational discipline, and ROI-focused outcomes. With over 200 employees, a 350,000 sq. ft. production facility, and execution in more than 40 countries, ASTOUND is defining what the modern experiential partner looks like. Now, in our 25th year, we are expanding into a growth engine for our clients—powered by AI, integrated creative, and next-gen content strategy—and for the business itself, driving both revenue and enterprise value. JOB SUMMARY: The CNC Operator is responsible for the day-to-day operation of CNC machines to fabricate scenic and structural components for ASTOUND’s event, exhibit, and environment projects. This hands-on role focuses on machine operation, material handling, and basic maintenance—executed with attention to quality, safety, and efficiency. KEY RESPONSIBILITES: • Work as part of the production team in a collaborative and fast-paced environment., • Safely operate CNC routers or milling machines to cut various materials (wood, plastic, aluminum, etc.) based on provided programs., • Set up machines for each job, including securing materials, loading tooling, and zeroing machine settings., • Interpret work orders, setup sheets, and drawings to ensure accurate part fabrication., • Monitor machine operations and make on-the-fly adjustments to maintain quality and prevent downtime., • Handle raw materials and finished parts, ensuring proper labeling and organization., • Conduct routine part inspections using measuring tools (calipers, tape measures, etc.) to verify conformity to specifications., • Identify and report quality issues or machine malfunctions to supervisors or programmers., • Perform basic maintenance tasks such as cleaning machines, changing bits, and maintaining a safe and organized work area., • Assist with unloading, staging, and post-processing of cut parts (e.g., sanding, de-tab, edge prepping)., • Support other departments as needed in collaboration with carpentry, graphics, and fabrication teams., • Follow instructions from the CNC Programmer, Manager, and senior department members. QUALIFICATIONS • Experience operating CNC routers in a scenic, exhibit, or custom fabrication shop., • Familiarity with KOMO, WEEKE, or similar CNC brands., • Experience using hand and power tools for part prep and cleanup., • Forklift and/or scissor lift certification is an asset., • 1–3 years experience operating CNC machinery in a production or fabrication environment., • Familiarity with working around G-code programs and interpreting simple machine readouts., • Ability to read and follow job packets, part labels, and basic technical drawings., • Comfortable working with wood, foam, plastic, and other common fabrication materials., • Strong work ethic – punctual, dependable, and safety-conscious., • Self-motivated with the ability to stay on task with minimal supervision., • Basic understanding of shop math and measuring tools., • Willingness to learn new machines, tools, and processes. THE VALUES YOU ALIGN WITH: Just as important as the skills you bring to our team, is alignment with our values. This means that as a collective we will collaborate with the same mindset to deliver incredible, market leading experiences for our clients. • Steadfast Courage - We fearlessly take on challenges and make bold decisions to achieve remarkable results., • Unwavering Integrity - We hold ourselves to the highest ethical standards and prioritize honesty, transparency, and professionalism., • Boundless Creativity - We push boundaries with innovative, collaborative ideas that surpass expectations and create unforgettable experiences., • Unparalleled Service - We fearlessly take on challenges and make bold decisions to achieve remarkable results., • Insatiable Curiosity - We never stop learning, exploring, and taking risks to create breakthrough experiences., • Constant Collaboration - We thrive on teamwork, leverage diverse perspectives, and support each other to deliver experiences greater than the sum of their parts. BENEFITS AND COMPENSATION The compensation package will be commensurate with experience. Our employees are entitled to a standard set of benefits, including health and dental insurance and 401(k) with company match. • Excellent Medical Insurance, • Excellent Dental Insurance, • Excellent Vision Insurance, • Paid Time Off, Holiday Pay, • 401K matching program after 60 days of employment, • 100% Company Life and Short-Term Disability Coverage, • Employee Referral Program, • Professional development opportunities and ongoing training., • Collaborative and innovative work environment., • Opportunity to work with prestigious clients and industry leaders DIVERSITY COMMITMENT We are proud to be an equal opportunity employer, and we welcome talented individuals from all backgrounds to apply. Our goal is to ensure that every candidate is evaluated solely on their qualifications, merits, and potential to contribute meaningfully to our team and mission.

Job Description Reports to: Vice President of Operations (VPO) Job Location: Las Vegas, NV (Hybrid) Department: Operations/Technology Integration About Us Advanced Management Group (AMG Nevada LLC) is a full-service property management firm overseeing approximately 9,000 residential units across multifamily, single-family, weekly, and maintenance divisions. We combine strong operational discipline with a forward-thinking approach to technology, automation, and AI integration. We’re seeking a Systems & AI Integration Manager to lead the management and optimization of our expanding software stack and to help drive the rollout of internal AI tools that enhance efficiency, accuracy, and team productivity. Job description: Position Overview We are seeking an experienced and forward-thinking Systems & AI Administrator to join our growing technology team. This role sits at the intersection of enterprise systems management and artificial intelligence, responsible for designing, implementing, and optimizing integrations across our property management technology ecosystem. The ideal candidate brings deep hands-on knowledge of platforms such as Yardi, ADP, Entrata, QuickBooks, AppFolio, Gearco, NetVendor, and other property management and HR systems — while also possessing the expertise to layer AI-driven automation, data pipelines, and intelligent workflows on top of these platforms. Position Responsibilities: Systems Integration & Administration • Architect, develop, and maintain integrations between core business platforms including Yardi Voyager/Breeze, ADP Workforce Now, Entrata, QuickBooks, AppFolio, NetVendor, Gearco, and ancillary property management tools., • Serve as the subject matter expert (SME) for system configuration, data mapping, and API/middleware connectivity across all integrated platforms., • Design and manage ETL (Extract, Transform, Load) pipelines to ensure accurate, real-time data flow between systems., • Troubleshoot and resolve integration failures, data discrepancies, and system conflicts in a timely manner., • Maintain detailed documentation of all system architectures, integration flows, data dictionaries, and configuration settings., • Evaluate and onboard new software platforms, ensuring seamless integration with the existing technology stack. AI & Automation Development • Identify opportunities to implement AI and machine learning solutions that automate repetitive workflows, enhance reporting, and improve operational decision-making., • Build and deploy AI-powered tools such as intelligent document processing, predictive maintenance alerts, automated lease abstraction, and resident communication bots., • Develop and maintain RPA (Robotic Process Automation) workflows to streamline data entry, accounts payable/receivable, and compliance reporting across Yardi, ADP, and related systems., • Collaborate with data analysts to build dashboards and AI-enhanced reporting pipelines using tools such as Power BI, Tableau, or custom solutions., • Evaluate and integrate large language model (LLM) APIs and AI platforms (e.g., OpenAI, Azure AI, Google Vertex AI) into internal business processes. Collaboration & Stakeholder Engagement • Partner with Property Management, Accounting, HR, and Leasing teams to understand operational pain points and translate business requirements into technical solutions., • Lead cross-functional workshops and discovery sessions to document system workflows and integration requirements., • Provide training and technical support to end users on integrated systems and AI-assisted tools., • Act as a liaison between software vendors and internal teams during implementations, upgrades, and escalations. Security, Compliance & Governance • Ensure all system integrations adhere to data privacy regulations (e.g., CCPA, GDPR) and internal security policies., • Implement role-based access controls (RBAC) and audit logging across integrated platforms., • Conduct regular system health checks, integration audits, and disaster recovery testing. Required Experience: • 4+ years of experience in IT systems administration, SaaS management, or business systems analysis., • Hands-on experience with multiple business applications (Entrada, QuickBooks, ADP, Office 365, Domo, etc.)., • Familiarity with APIs, workflow automation tools (Zapier, Make, Power Automate), and light scripting (Python or PowerShell) preferred., • Exposure to AI environments or machine-learning tools (e.g., OpenAI, Ollama, vLLM, NVIDIA AI Workbench) a strong plus., • Strong analytical and problem-solving skills with a focus on process improvement., • Excellent communication and documentation abilities; comfortable coordinating across departments. Ideal Candidate: The ideal candidate is a tech-savvy operational thinker, someone who understands how software and AI intersect with day-to-day business needs. They are detail-oriented, security-minded, and capable of translating complex technology into practical tools that empower AMG’s teams. This is a hands-on role for someone who enjoys both system configuration and strategic design, helping the company streamline operations while leading the next phase of AI integration Job Type: Full-time Benefits: • Dental insurance, • Health insurance, • Life insurance, • Paid time off, • Vision insurance

Job Description Mission Summary: We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this role, you will be responsible for the core systems that enable our researchers to train frontier models at scale, focusing obsessively on speed, cost, reliability, and throughput. You will work at the intersection of machine learning research and high-performance systems engineering. Your work will directly impact our ability to scale large-scale distributed model training and reduce the time-to-convergence for our next generation of models. What you'll be doing: • Performance Profiling & Optimization: Utilize profiling tools (e.g., Nsight, PyTorch Profiler) to identify bottlenecks in data loading, gradient computation, and communication. Implement optimizations like kernel fusion, sharding, and tiling to improve step time., • Distributed Training: Optimize distributed training pipelines using frameworks such as PyTorch Distributed., • Kernel Development: Design and maintain high-performance GPU kernels in Triton or CUDA for state-of-the-art ML workloads., • Data Pipeline Engineering: Optimize robust data loading pipelines that maximize training throughput. What we're looking for: • Education: Bachelor's, Master's degree, or PhD in Computer Science, Computer Engineering, or a related technical discipline., • Software Engineering: Strong proficiency in Python., • ML Frameworks: Extensive hands-on experience with PyTorch., • ML Knowledge: Experience optimizing machine learning model execution during training and inference, alongside a strong understanding of fundamental machine learning concepts, architectures, and processes., • Problem Solving: Exceptional analytical and problem-solving skills, with a bias for action and a data-driven approach to technical challenges. 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 salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$144,000—$192,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job Description About TensorWave Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure. About the Role We are building and operating large-scale infrastructure platforms to support high-performance AI and machine learning workloads across multiple data centers. Our environment includes GPU-intensive systems, high-throughput networking, and distributed storage platforms that must deliver consistent performance at scale. We are looking for a Staff Infrastructure Engineer – Storage Platform to own the design, operation, and evolution of our storage systems. This role combines architecture and hands-on operational ownership, ensuring that storage platforms are both well-designed and reliably executed in production. You will be responsible for defining how storage works across the organization while remaining deeply involved in real-world system behavior, performance tuning, and incident response. What You’ll Do Architecture & Platform Design Design and evolve storage architectures supporting Kubernetes (block, file, object storage), AI/ML and high-performance compute workloads Evaluate and select storage technologies based on performance (IOPS, throughput, latency), scalability and fault tolerance, operational complexity and maintainability Define storage standards, best practices, and reference architectures Design for resilience over traditional HA, including failure-domain awareness Platform Ownership & Operations Own production storage platforms, including Ceph (RBD, CephFS, RGW), High-performance NAS (Weka, VAST, or similar) Lead lifecycle operations - Cluster design and deployment, expansion and scaling, upgrades and migrations Perform and guide capacity planning, performance tuning, failure analysis Performance & Reliability Analyze storage performance across IOPS, throughput, latency, and tail latency Identify and resolve bottlenecks across disk subsystems, network paths (including RDMA), client access patterns Lead root cause analysis for storage-related incidents Ensure storage platforms meet the demands of GPU and Kubernetes workloads Kubernetes Storage Integration Define and implement Kubernetes storage patterns - CSI drivers, StorageClasses, persistent storage design Troubleshoot complex Kubernetes storage issues involving stateful workloads, provisioning failures, performance anomalies Partner with platform teams to align storage with workload requirements Automation & Tooling Design and implement automation for storage deployment and configuration, cluster lifecycle management Leverage tools such as Ansible, Terraform, Kubernetes manifests / Helm Integrate storage platforms into observability stacks (Prometheus, Grafana, etc.) Technical Leadership Serve as the technical authority for storage across the organization Mentor engineers on storage systems, performance, and troubleshooting Establish operational standards and best practices Drive continuous improvement of storage reliability and performance Who You Are Required Qualifications 7+ years of experience in infrastructure, storage, or distributed systems Deep hands-on experience with distributed storage systems in production Strong experience with Ceph (RBD, CephFS, and/or RGW) Experience with high-performance storage platforms such as: Weka, VAST Data, or similar Strong understanding of: Storage performance characteristics Data replication and failure domains Distributed system design principles Strong Linux systems expertise Ability to troubleshoot across: Storage, network, and compute layers Preferred Qualifications Experience supporting AI/ML or HPC workloads Familiarity with: NVMe-based architectures RDMA or high-throughput Ethernet Experience integrating storage with Kubernetes at scale Experience operating across multiple data centers Exposure to object storage and S3-compatible APIs What We Offer Stock Options 100% paid Medical, Dental, and Vision insurance for Employees Company Health Savings Account Contributions 100% paid Short Term and Long Term Disability Insurance for Employees Life and Voluntary Supplemental Insurance Options Other Insurance Options, such as Pet & Legal Insurance Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support Flexible Spending Account 401(k) Employee Assistance Program Flexible PTO Paid Holidays Parental Leave Other In-Office Perks Equal Employment Opportunity TensorWave is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of any protected status under applicable law. Reasonable Accommodations TensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact accomodations@tensorwave.com. Employment Eligibility All offers of employment are contingent upon verification of identity and authorization to work in United States, as required by law. Background Checks Where permitted by law, employment may be contingent upon the successful completion of a job-related background check. Data Privacy Notice By submitting an application, you acknowledge that TensorWave may collect, use, and retain your personal information for recruiting and employment-related purposes in accordance with applicable data privacy laws.

Job Description At Crescent Hotels & Resorts, we are a team of hospitality professionals that are deeply connected to & proud of the exceptional experiences we provide for our guests. More than that, we know our Associates are the shining stars of what we do! We understand what it takes to be a part of something great. We will encourage you to bring your true self to work every day, we will celebrate you and we will cheer you on as you shine bright in your career journey. Whether it be our health & wellness programs, best in class learning and development or our travel discounts that ‘feed your inner explorer’, we work hard to create and deliver on what YOU need. We are ready for you to start your journey with us where You Belong. We Care. Shine Bright. Located in the heart of Symphony Park, EC Element Symphony Park Las Vegas is looking for our next great team members to join us on our Culinary team. In this role, you will be responsible for preparing food items in accordance with production requirements and quality standards while maintaining a safe, sanitary work environment. Here is what you will be doing each day: In this role, you will be responsible for preparing food items in accordance with production requirements and quality standards while maintaining a safe, sanitary work environment in a high volume, fast paced restaurant and banquets environment. Does this sound like you? • Maintain sanitation and cleanliness of all areas of the dishroom, kitchen aisle, and dock area., • Ability to stand for long periods, lift heavy objects, and perform repetitive tasks., • Break down trays, set up dish machine, wash dishware, and sort and store all clean china, glass and silver using proper procedures., • Empty trashcans and wash inside and outside., • Thoroughly clean dock area and dumpster., • Break down dish machine and clean inside and outside., • Clean all breakdown tables., • Clean tile walls and baseboards., • Perform any other job related duties as assigned. At Crescent Hotels & Resorts we strive to create a great place to work where associates at all levels of our organization are respected for their differences, just like the guests and owners we serve. That’s why we are dedicated to creating an environment that facilitates open and honest conversations about race, equity, diversity, and inclusion. By examining our own beliefs and behaviors, we can create change through training, recruiting, and promoting diverse talent to strengthen our culture.

Job DescriptionThe Opportunity We are building a dedicated AI Red Team to rigorously test and harden enterprise-scale AI products. We are looking for an adversarial machine learning specialist who thinks like an attacker. This role focuses on identifying vulnerabilities in LLM-driven systems, breaking model guardrails, exploiting data pathways, and stress-testing AI deployments before they reach enterprise customers. This is a hands-on technical role at the core of AI security. What You’ll Do • Conduct adversarial testing across LLM and AI-based systems, • Execute real-world attack simulations, including:, • Prompt injection, • Jailbreaking and guardrail bypass, • Data exfiltration attempts, • Model inversion and evasion techniques, • RAG manipulation, • Develop scripts and tooling to automate attack scenarios, • Analyse model behaviour under adversarial pressure, • Identify systemic vulnerabilities in:, • APIs, • Embedding pipelines, • Vector databases, • Fine-tuned model implementations, • Collaborate with engineering teams to validate remediation, • Document findings clearly and concisely You will help ensure AI systems are resilient before they are deployed at scale. Requirements What We’re Looking For Core Technical Skills • Strong experience in adversarial ML or AI security research, • Experience working with LLM-based systems (OpenAI, Anthropic, open-source models, etc.), • Deep understanding of:, • Prompt injection techniques, • Model jailbreak methodologies, • AI system exploitation vectors, • Strong Python skills, • Experience building custom attack tooling or experimentation frameworks AI Systems Knowledge • Familiarity with:, • RAG architectures, • Vector databases, • Model fine-tuning workflows, • API-based model deployments, • Understanding of model safety mechanisms and guardrails Nice to Have • Background in cybersecurity or penetration testing, • Familiarity with OWASP LLM Top 10, • Experience working in enterprise environments Who You Are • Curious and relentless, • Comfortable thinking like an attacker, • Creative in finding non-obvious vulnerabilities, • Detail-oriented but fast-moving, • Comfortable operating in ambiguity, • Independent but collaborative You don’t just run test cases — you design new ones. Benefits • Comprehensive Private Medical Coverage, • Support for Mental Health Expenses, • Life Insurance Options, • Attractive Compensation Package

Job Description Our mission at Tensorwave Cloud is to build seamless, secure, reliable, and resilient AI infrastructure at scale, eliminating barriers and challenging the status quo to empower builders and support AI innovation. About the role TensorWave is seeking an experienced Technical Program Manager to drive the execution of complex AI infrastructure initiatives that power cutting-edge machine learning workloads. In this role, you'll be the connective tissue between engineering, product, and business teams, ensuring our AMD-powered AI platform delivers exceptional performance and reliability at scale. You'll own the end-to-end program lifecycle for critical infrastructure projects, from initial scoping through deployment and iteration, working at the intersection of hardware optimization, distributed systems, and ML operations. Responsibilities Lead cross-functional programs spanning hardware deployment, software infrastructure, and ML platform development, ensuring alignment across engineering, product, and operations teams Define program scope, objectives, and success metrics for AI infrastructure initiatives, from GPU cluster buildouts to inference optimization projects Drive cross-functional roadmap planning and prioritization, balancing immediate customer needs with long-term platform scalability Manage program timelines, dependencies, and resource allocation across multiple concurrent initiatives Translate complex technical tradeoffs into clear business implications for executive leadership and external partners Communicate program status, risks, and blockers through regular updates, maintaining transparency across the organization Identify and mitigate technical and operational risks before they impact delivery timelines or system performance Drive postmortems and retrospectives to capture learnings and continuously improve execution velocity Required Experience Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience 3+ years of technical program management experience in infrastructure, cloud platforms, or ML/AI systems Strong technical background with ability to engage in architecture discussions around distributed systems, GPU computing, or ML frameworks Proven track record of delivering complex, multi-quarter programs involving hardware and software components Experience managing cross-functional initiatives with engineering, product, and business stakeholders Experience with Jira and implementing Jira workflows to match team processes Excellent written and verbal communication skills, with ability to tailor messaging for technical and non-technical audiences Preferred Experience Experience with AMD GPU architectures (ROCm, Instinct GPUs) or competitive platforms (NVIDIA CUDA, Google TPUs) Background in ML infrastructure, model training/inference pipelines, or MLOps platforms Prior experience at a high-growth startup or in a fast-paced infrastructure organization Hands-on technical experience as a software engineer or systems engineer earlier in career Familiarity with Kubernetes, distributed training frameworks (PyTorch, JAX), or AI workload orchestration What We Bring Mission driven company Competitive Salary Stock Options 100% paid Medical, Dental, and Vision insurance Flexible PTO Paid Holidays 401(k) Parental Leave Flexible Spending Account Short Term Disability Insurance Life and Voluntary Supplemental Insurance Mental Health Benefits through Spring Health We’re looking for resilient, adaptable people to join our team, people who believe in the mission and think at massive scale. The solutions that worked on a handful of devices will not work at Exascale. Be prepared to be pushed daily, to learn a lot, and literally build the future. Tensorwave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, national origin, or veteran status.

Job Description 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. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$205,000—$272,500 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job Description 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. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$149,000—$198,500 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job Description About TensorWave Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure. About the Role We are building and operating large-scale infrastructure platforms to support high-performance AI and machine learning workloads across multiple data centers. Our environment includes GPU-intensive systems, high-throughput networking, and distributed storage platforms designed for performance, scale, and resilience. We are looking for a Storage Operations Engineer to own the day-to-day operation, performance, and reliability of our storage platforms. This role is responsible for ensuring that storage systems remain stable, performant, and aligned with the demands of Kubernetes, AI/ML, and high-performance compute workloads. This is not a traditional SAN/NAS administration role. You will work with modern distributed storage systems and be expected to troubleshoot, optimize, and scale them in production environments. What You’ll Do Platform Operations & Ownership Operate and maintain distributed storage platforms, including Ceph (RBD, CephFS, RGW), High-performance NAS platforms (e.g., Weka, VAST Data) Manage storage lifecycle operations - cluster expansion, upgrades and migrations Monitor and maintain storage health, including capacity utilization, data distribution and balance, cluster state and recovery operations Performance & Reliability Analyze and troubleshoot storage performance across IOPS, throughput, and latency (including tail latency) Identify and remediate bottlenecks across disk subsystems, network paths (including RDMA where applicable), client access patterns Support incident response and root cause analysis for storage-related issues Ensure storage platforms meet performance expectations for GPU and Kubernetes workloads Kubernetes Storage Operate and support Kubernetes-integrated storage - CSI drivers, StorageClasses, PersistentVolumes / PersistentVolumeClaims Troubleshoot storage-related issues in Kubernetes environments, including stateful workloads, performance inconsistencies, scheduling and provisioning failures Automation & Tooling Execute and improve automation for storage deployment and operations using Ansible, Terraform, Kubernetes manifests / Helm Contribute to improving monitoring and alerting, operational workflows, runbooks and documentation Cross-Team Collaboration Partner with DevOps and Platform Engineering (automation and orchestration), Network Engineering (high-throughput and RDMA networking), Compute / Virtualization teams Help ensure end-to-end performance across compute, network, and storage layers Who You Are Required Qualifications 4–7+ years of experience in infrastructure, systems, or storage operations Strong hands-on experience operating distributed storage systems in production Experience with Ceph (RBD, CephFS, or RGW) Experience with modern storage platforms such as: Weka, VAST Data, or similar high-performance systems Strong Linux systems knowledge Solid understanding of: Storage performance characteristics (IOPS, throughput, latency) Data replication and failure domains Ability to troubleshoot across: Storage systems Network paths Compute clients Preferred Qualifications Experience supporting AI/ML or HPC workloads Familiarity with: NVMe-based storage architectures RDMA or high-throughput Ethernet environments Experience integrating storage with Kubernetes Experience operating storage across multiple data centers Exposure to object storage and S3-compatible APIs What We Offer Stock Options 100% paid Medical, Dental, and Vision insurance for Employees Company Health Savings Account Contributions 100% paid Short Term and Long Term Disability Insurance for Employees Life and Voluntary Supplemental Insurance Options Other Insurance Options, such as Pet & Legal Insurance Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support Flexible Spending Account 401(k) Employee Assistance Program Flexible PTO Paid Holidays Parental Leave Other In-Office Perks Equal Employment Opportunity TensorWave is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of any protected status under applicable law. Reasonable Accommodations TensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact accomodations@tensorwave.com. Employment Eligibility All offers of employment are contingent upon verification of identity and authorization to work in United States, as required by law. Background Checks Where permitted by law, employment may be contingent upon the successful completion of a job-related background check. Data Privacy Notice By submitting an application, you acknowledge that TensorWave may collect, use, and retain your personal information for recruiting and employment-related purposes in accordance with applicable data privacy laws.

Job Description Position Title: Data Analyst The data analyst will be responsible for importing, transforming, validating and modeling data with the purpose of understanding and drawing conclusions from the data in order to drive operational processes and decision-making business intelligence and data reports. Responsibilities: o Perform data processing tasks and prepare data analytics reports meeting defined specifications. o Present data in graphs and tables as well as designing and developing relational databases for data collection and data processing. o Respond to requests for data retrieval, visualization, and investigation with minimal turn-around time. o Develop processes for standardizing raw data coming from different sources in a variety of formats, and support team members in cleaning and improving data quality. o Work with business analysts and data modeling staff to document data presentation requirements in collaboration with management staff. Successful Candidate’s Attributes: o Bachelor’s degree in Computer Science, Information Technology, Statistics or related field. o Must have strong analytical skills and an understanding of relational databases, data elements, and application software solutions to maximize data gathering and data analysis. o Strong foundational knowledge of probability theory, sampling distributions, and statistical modeling. o Extensive knowledge of Python and Microsoft Excel VBA programming skills, with the ability to apply these tools for data processing, analysis, and automation. o Familiarity with SQL or demonstrated ability to quickly develop SQL proficiency will be an important part of the data analyst role. o Solid organization skills, including the ability to make sound prioritization decisions and the ability to manage multiple tasks and assignments. o Strong verbal and written communication skills, with the ability to clearly present information and collaborate with team members and stakeholders. o Able to work independently with minimal supervision while collaborating effectively in a team environment. o Demonstrates a strong interest in data and analytics and a commitment to learning new tools and data analysis methodologies. o Experience with machine learning techniques (e.g., classification, clustering, tree-based models) is a plus. Company DescriptionEnnovara, headquartered in Las Vegas, Nevada, is a growing project management and engineering consulting company serving the electric utilities industry.Ennovara, headquartered in Las Vegas, Nevada, is a growing project management and engineering consulting company serving the electric utilities industry.

Job DescriptionThe Opportunity We are building an elite AI Red Team to stress-test and harden enterprise-scale AI products deployed to some of the world’s largest organizations. This is not a theoretical research role. This role sits at the intersection of adversarial machine learning, enterprise security architecture, and governance. You will lead the design and execution of structured red team engagements across multiple AI systems — and translate technical risk into enterprise-aligned assurance. If you have ever been frustrated watching AI risk findings remain stuck in a slide deck with no operational impact, this role is designed to change that. What You’ll Do • Adversarial testing of LLM and AI-driven systems, • Conduct threat modelling across model, infrastructure and data layers, • Execute and oversee testing for:, • Prompt injection, • Jailbreaking, • Model exploitation, • Data leakage / extraction, • RAG system manipulation, • Translate findings into structured, audit-ready documentation, • Map vulnerabilities and remediation pathways to:, • ISO 27001 controls, • SOC 2 Trust Service Criteria, • ISO 27701 privacy controls, • ISO 27017 cloud security controls, • Partner closely with engineering, security, and compliance functions, • Present findings clearly to executive leadership This role ensures AI security findings integrated into enterprise governance frameworks. Requirements What We’re Looking For Core Technical Depth • Strong understanding of adversarial machine learning, • Experience red teaming LLM or AI systems, • Deep familiarity with AI deployment architectures (RAG, APIs, vector DBs, fine-tuning pipelines), • Strong Python proficiency Enterprise Security & Governance Fluency • Experience working within ISO 27001 environments, • Practical knowledge of SOC 2 Trust Service Criteria, • Understanding of ISO 27701 privacy extensions, • Familiarity with ISO 27017 cloud security controls, • Ability to map technical findings to control frameworks Communication & Documentation • Ability to produce clear, structured, audit-friendly documentation, • Comfortable presenting technical risk to executive audiences, • Strong written and verbal communication skills Who You Are • Systems thinker, • Curious and adversarial in mindset, • Comfortable identifying uncomfortable truths, • Autonomous and fast-moving, • Enterprise-aware, not just technically strong, • Able to operate independently under executive leadership You understand that security is about both breaking systems and integrating findings into operational and compliance posture. Benefits • Comprehensive Private Medical Coverage, • Support for Mental Health Expenses, • Life Insurance Options, • Attractive Compensation Package

Meet Leaf Home. We turn complex home improvement projects and endless to-dos into achievements. With more than 50% of homeowners worried about the cost and effort of home maintenance, we deliver remarkable, end-to-end experiences. And get the job done right, at every step. Bringing innovative products, the best people, and the highest standards to every project. Trusted by more than 1 million homeowners across the US and Canada, we are America’s largest direct-to-consumer full-service provider of branded home services and products. Our products, including the patented LeafFilter gutter protection system, have earned numerous awards and recognition from Good Housekeeping, Qualified Remodeler, Angi, Consumer Reports, This Old House, and other consumer review platforms. We are powered by extraordinary people. Our innovative products and reliable services are delivered with convenience, excellence, and quality through 250+ regional sales and installation offices and comprehensive field support offices in New York and Hudson, Ohio. We’re proud to say we’ve been consistently named one of the fastest-growing private companies by Inc. 5000 and recognized as a top employer nationally. The benefits of working at Leaf Home are wide-ranging and include: Industry-best compensation packages | Competitive health, dental, and vision insurance | 401k with company match | Paid time off including paid parental leave | Individualized career development programs | Childcare assistance | Employee assistance programs, including legal, financial planning, and counseling | Employee discount marketplace | Employee Resource Groups such as VetConnect, DEI Committee, Women’s Committee. Position Summary: Responsible for daily gutter installation operations of a field office including successful completion of full onsite customer installations as well as gutter fabrication and delivery to customer location for third-party installation contractors. Operation of both a company vehicle and gutter machine in varying field conditions. Essential Duties and Responsibilities: Travel in assigned territory to complete gutter and gutter protection installations at customer location(s) Ensure jobs are installed daily to improve location attainment and effectiveness Work with teams of LeafFilter employees and/or Subcontractors to complete gutter fabrication and/or installations of gutters and gutter protection products Provide quality installation services by following established installation training processes Communicate with local office leadership daily and as needed on job progress, service issues, completion status, etc. Provide excellent customer service experience while on job site Maintain organized job documents for both the customer and office administrative purposes Follow established job site safety rules, OSHA guidelines and company safety policies and procedures Performs other duties as assigned by supervisor. Experience and Minimum Qualifications: Bachelor’s Degree preferred, or equivalent combination of education, training, and experience. 3+ years of successful experience in home construction, remodeling, and/or gutter installation. • Must hold an active and valid driver’s license and be able to operate a box truck safely., • Must be comfortable ascending and descending ladders of varying heights to perform services. Demonstrate superior quality and attention to detail in all facets of the installation process Ability to teach others through hands-on and documentation-based learning methods Ability to juggle various work activities and shift their attention from one task to another to meet the demands of different stakeholders without “dropping the ball”. Ability to thrive in a fast-paced, high-energy, team-oriented environment and have a “roll up your sleeves” and “today not tomorrow” mentality. Apply active listening skills through the ability to comprehend information presented and respond thoughtfully. Detail-oriented and can focus on the task at hand, no matter how minute, by finding the most efficient and effective pathway to completion. Excellent verbal and written communication skills are required for communicating with internal and external parties in a manner that is both articulate and professional. Ability to logically connect ideas, scrutinize and evaluate arguments, find inconsistencies and errors in work, solve complex problems, and engage in reflection. Ability to provide timely and empathetic help through in-person, phone, email, and social media avenues that keeps the co-worker or customer’s needs at the forefront of every interaction. Ability to communicate effectively, to recognize, understand, and manage one’s own emotions as well as others, and foster positive working relationships across all levels of the organization. Holding oneself responsible and being self-driven in accomplishing business goals, adhering to policies and being responsible for one’s own actions, performance, and decisions. Familiarity and comfort using ladders of various heights. Proficiency using Microsoft Office Suite (Outlook, Word, Excel, PowerPoint, Project, and/or Access). Must hold active and valid driver’s license and be able to operate a box truck safely Ability to successfully complete and meet DOT physical criteria Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status). Preferred Knowledge, Skills, Abilities or Certifications: Prior experience in gutter and/or gutter protection system installation, repair, or inspection is a plus Travel Requirements: Occasional overnight travel required. Overtime/Additional Hours Requirements: Additional Hours May Be Required (Exempt Positions) Physical Requirements Field Office/Manufacturing/Construction Environment Performs work outside in varying temperatures and climates. Medium work. Exerting up to 50 pounds of force occasionally, and/or up to 30 pounds of force frequently, and/or up to 10 pounds of force constantly to move objects. Diversity and Inclusion Statement Leaf Home is committed to creating a diverse environment and is proud to be an equal opportunity employer. We strive to create an environment that embraces differences and fosters inclusion. Equal Opportunity Statement Leaf Home will recruit, hire, train, and promote persons in all job titles without regard to race, color, ancestry, national origin, gender identity or expression, sexual orientation, marital status, religion, age, results of genetic testing, veteran status, or physical/mental disability (except where the disability prevents the individual from being able to perform the essential functions of the job and cannot be reasonably accommodated in full compliance with the law).

Job Description Ask About Our Sign-on Bonus or Relocation Assistance!! Join Our Team at Companion Animal Hospital in Beautiful Las Vegas! Are you looking for a rewarding veterinary career in a place where the sun shines daily? Look no further! Companion Animal Hospital, nestled in the heart of vibrant Las Vegas, has served our community since 2004. Our long-term clientele feels like family, and we're dedicated to providing top-notch medical care in a compassionate environment. Why Join Us? • Established Clinic: With a strong foundation since 2004, our clinic has built a loyal client base that values our high standards of care., • Supportive Team: Our dedicated team is committed to continuous learning and skill enhancement, ensuring we provide the best care for our patients., • Growth Opportunities: We offer ample potential for professional growth within our organization. About the Role: We are seeking a passionate FULL-TIME Associate Veterinarian to join our team and contribute to our clinic's continued success. As a member of our team, you'll have the opportunity to: • Provide high-quality medical care to our beloved animal patients., • Work in a supportive and collaborative environment., • Utilize your skills to their fullest potential, with encouragement for ongoing professional development., • Leadership opportunity available Benefits of Living and Working in Las Vegas: By joining Companion Animal Hospital, you'll not only advance your career but also enjoy all that this dynamic city has to offer. From entertainment and dining to outdoor adventures, Las Vegas has something for everyone! What makes WellHaven unique: • Full-time benefits at just 30 hours/week, • Quarterly production bonuses with no negative accrual, • No non-competes—your future stays in your hands, • Leadership opportunities, • Up to 200 hours of PTO (including holidays, CE, and sick time), • Comprehensive health coverage + generous HSA contribution, • A CE allowance that flexes with your interests, • Pet Wellness plans and scrub allowance, • And so much more! Job Summary The Associate DVM ensures a high quality of veterinary care, client service, employee well-being, and productivity of the veterinary medical team. The Principal Doctor and Practice Manager will lead the Associate DVM to ensure the well-being of the hospital environment, medical quality, and business performance of the hospital. Key Responsibilities • Ensure consistent, high-quality care, safe and exceptional service to maintain a positive hospital environment, uphold medical standards, and support business performance, • Adhere to all WellHaven protocols and practices and oversee employees to prioritize practice goals, • Collaborate with the Principal Doctor to establish development plans that align with hospital objectives, • Practice veterinary medicine in compliance with the State Veterinary Practice Act, Federal and/or State Controlled Substance laws, WellHaven Code of Ethics, and maintain appropriate medical record documentation, • Maintain thorough and accurate medical charting for all patients, consistently meeting hospital quality control standards, • Provide comprehensive client communication, including in-person, phone, and email as needed, • Participate in community events, external marketing initiatives, and hospital projects, • Demonstrate proficiency in anesthesia, surgery, dentistry, and current medical practices, • Advocate for exceptional client service and patient well-being, • Provide medical training to support staff (new graduates will gain experience over time)., • Willingness to train/lead/manage support staff as required Customer Service Delivery: • Consistently provide professional, efficient, and exceptional service, • Demonstrate excellent communication and organizational skills when interacting with the veterinary team and clients, • Effectively adapt to individual clients and their needs, • Effectively resolve customer complaints as appropriate Other: • Lead and guide the team to ensure the hospital meets safety standards and regulations set by the DEA and OSHA (new graduates will gain experience over time)., • Meet all OSHA standards and regulations as outlined in company policies, • Ability to perform other job duties as assigned Required Skills and Knowledge • Uphold integrity and ethics in all actions and behaviors, • Stay current with the latest advancements in veterinary medicine through ongoing professional development and continuing education to maintain certification and improve knowledge and skills, • Drive for results by demonstrating motivation and determination to achieve goals and deliver high-quality outcomes, • Provide consistent, high-quality care, safe and exceptional medical services, • Remain action-oriented and effectively set priorities, • Work well in an extremely fast-paced work environment, remaining calm and resilient, • Learn new computer software systems (EMR, Scheduling, etc.), • Provide a high level of accountability Education and Experience • Doctor of Veterinary Medicine (DVM/VMD) or equivalent degree required, • State Veterinary Board License, • On the first day of employment, must be in good standing with the state(s) employed to work for WellHaven, • Current USDA Accreditation is a plus! Work Location, Environment, and Physical Requirements • The Associate Doctor position is performed onsite at our hospital or an approved offsite event location. Remote work is not available for this position, • The hospital environment includes limited space, smells from pet waste, and noise (barking, etc.), • Schedules may include 10+ hour shifts, Saturdays, evenings, and holidays, • Good hand-eye coordination, arm-hand-finger dexterity with the ability to reach and grasp, and visual acuity to use a keyboard, operate equipment, and read information, • Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus, • Able to stand, walk, stoop, kneel, crouch, and climb, • Ability to lift 50+ pounds, • May routinely be exposed to pets that may bite or scratch, biological hazards, anesthesia medications (smells), radiation if near an Xray machine, prescription medications, including controlled substances Salary Range: • $130,000 - $160,000 + Production Additional Information Our hospital is part of the WellHaven Pet Health (“WellHaven”) network of hospitals. This allows us to have a more extensive and stronger support system, connecting with other hospitals in the area while remaining autonomous. WellHaven helps veterinarians and their teams succeed both personally and professionally. We value our medical teams and strive to support each team member each and every day. Our focus on personal growth, practice support, and life balance frame the relationship we want to have with our hospital teams. This people-first approach has made a considerable difference in the lives of our teams, clients, pets, our communities, and the health of our hospitals. We’ve been recognized in Inc. Magazine for making a difference in our community and in Forbes for being named one of America's Best Startup Employers. It is an exciting time to be part of the WellHaven team and an excellent time for you to consider joining us! Please learn more about WellHaven at www.wellhaven.com. WellHaven Benefits WellHaven offers competitive pay and an excellent benefits package. Please review our benefits package at: https://wellhaven.com/wellhaven-employment-benefits/ Commitment to Diversity WellHaven is an Equal Opportunity Employer. WellHaven is committed to complying with all applicable federal, state, and/or local laws prohibiting discrimination based on race, color, creed, religion, national origin, sex (including transgender status), marital status, familial status, status with regard to public assistance, disability, genetic information, sexual orientation, age, military or veteran status, membership or activity in a local human rights commission, or any other status protected by law. In accordance with federal, state, and local law, WellHaven may provide reasonable accommodation to known physical or mental limitations of applicants during the hiring process unless the accommodation would impose an undue hardship on WellHaven. For more information, please contact WellHaven HR at HR@wellhaven.com. Pay Transparency Disclaimer WellHaven Pet Health provides wage range information in accordance with applicable pay transparency laws. Third-party job boards and recruiting platforms may omit or misrepresent this information when reposting our job requisitions. WellHaven Pet Health is not responsible for any discrepancies in such postings. For the authoritative and most up-to-date wage range information for all positions and locations, please refer exclusively to our official careers page: https://wellhaven.com/join-the-team/.

Job Description Be the Heart of an Iconic Community: Office Administrative Support The Las Vegas Country Club Master Association is looking for more than just an administrator; we are looking for a professional "Face of the Club" who thrives on connection, organization, and making an impact. Nestled in the heart of Las Vegas, our gated community is home to over 2,500 residents who value excellence. As our Office Administrative Support, you aren't just filing papers—you are the primary point of contact ensuring our residents feel at home and our operations run like a well-oiled machine. Why Join Our Team? • A Prestigious Environment: Work in one of the most historic and beautiful settings in the valley., • A Collaborative Culture: Support our General and Office Managers in a high-energy, fast-paced office where your contribution is truly valued., • Professional Growth: We value self-starters and provide the autonomy you need to master your role. The Impact You’ll Make You will be the "air traffic controller" of our front office, balancing resident needs with essential administrative logic. Your day-to-day includes: • Creating First Impressions: Greeting residents and vendors with an outgoing, professional energy., • The Hub of Communication: Managing inbound calls and serving as a helpful resource for our 2,500+ residents., • Operational Excellence: Handling the critical "gatekeeper" tasks—processing homeowner/tenant registrations, new lease agreements, and vehicle registrations., • Event & Logistics Support: Coordinating open house and party requests to help our residents celebrate their milestones., • Office Mastery: Maintaining a seamless filing system and handling mail with precision. What You Bring to the Table The "perfect fit" for us is someone who is a self-starter and can work with minimal supervision while keeping a smile on their face. • Experience: Previous office administration experience (HOA experience is a plus, but we are happy to train the right personality!)., • Tech Savvy: Proficiency in Microsoft Word, Excel, and Outlook. You should be comfortable learning new software quickly., • Soft Skills: Exceptional customer service, strong attention to detail, and the ability to multitask without breaking a sweat., • Communication: Excellent written and verbal skills are a must. Ready to Apply? If you are an outgoing professional who enjoys a fast-paced environment and wants to play a major role in a dedicated team, we want to hear from you. Company DescriptionThe Las Vegas International Country Club Estates Home-owners Association is a guard-gated community with total of 1,337 residences with approximately 2,500 residents.The Las Vegas International Country Club Estates Home-owners Association is a guard-gated community with total of 1,337 residences with approximately 2,500 residents.

Job Description 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 salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$149,000—$198,500 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job Description 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. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$172,000—$229,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job DescriptionMotional 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. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$149,000—$198,500 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job Description About TensorWave Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure. About the Role We’re looking for a Senior Machine Learning Engineer to join our team during an exciting phase of growth. In this role, you’ll be responsible for building and operating the core systems that power large-scale ML training and inference across TensorWave’s GPU platform, working closely with cross-functional partners to support business objectives while upholding our standards for excellence, collaboration, and impact. What You’ll Do Design, operate, and improve ML infrastructure systems supporting distributed training and inference workloads Build reliable, repeatable workload execution and orchestration patterns across shared GPU environments Troubleshoot performance, reliability, and scalability issues across the ML stack Partner with ML, systems, and platform teams to improve developer experience and operational efficiency Who You Are Required Qualifications Bachelor of Science in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience Expertise supporting production ML systems using SLURM and Kubernetes Strong understanding of GPU-accelerated workloads and distributed systems concepts Solid Linux fundamentals and experience debugging infrastructure-level issues Ability to build automation and tooling - Python, Go, etc. Preferred Qualifications Experience working across schedulers, orchestration platforms, or cluster managers Familiarity with large-scale GPU environments or HPC-style systems Experience improving infrastructure reliability, utilization, or performance at scale What We Offer Stock Options 100% paid Medical, Dental, and Vision insurance for Employees Company Health Savings Account Contributions 100% paid Short Term and Long Term Disability Insurance for Employees Life and Voluntary Supplemental Insurance Options Other Insurance Options, such as Pet & Legal Insurance Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support Flexible Spending Account 401(k) Employee Assistance Program Flexible PTO Paid Holidays Parental Leave Other In-Office Perks Equal Employment Opportunity TensorWave is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of any protected status under applicable law. Reasonable Accommodations TensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact accomodations@tensorwave.com. Employment Eligibility All offers of employment are contingent upon verification of identity and authorization to work in the United States, as required by law. Background Checks Where permitted by law, employment may be contingent upon the successful completion of a job-related background check. Data Privacy Notice By submitting an application, you acknowledge that TensorWave may collect, use, and retain your personal information for recruiting and employment-related purposes in accordance with applicable data privacy laws.

Job Description About the Company: Our client is a company building the world's highest- performance pure digital AI inference chip. They are seeking a Software Architect to lead their software efforts and advance the software stack that includes ML frameworks, compilers, libraries, and runtime. As a Software Architect, you will be responsible for designing and developing software that interacts with their chip, collaborating with hardware and software engineers, and optimizing software for highly parallel architectures to maximize performance and efficiency. Responsibilities: • Advance the state of the art in compiler and runtime technology for delivering high-performance acceleration of AI workloads across a variety of neural network architectures., • Research and design new software and hardware AI solutions, involving simulators, optimizing compilers, code generators, and runtime execution frameworks for deep learning accelerators., • Evaluate various trade-offs of different parallelization strategies such as performance, power, energy, and memory consumption., • Enhance AI software tools to support the latest and greatest DNNs emerging from the research community and industry., • Keep up with the fast-paced development happening in the industry and academia to continuously enhance our products., • Work closely with other software and hardware engineers to develop the next generation of deep learning software., • Collaborate with architects and hardware engineers to co-design future accelerators. Preferred Skills & Experience: • 10+ years of experience developing software for a variety of highly parallel architectures., • Previous roles include experience with optimizing algorithms for hardware acceleration machine learning accelerators, spatial architectures, or GPUs., • Strong problem-solving skills and the ability to resolve complex issues with a high level of ambiguity., • Understanding of Deep Learning fundamentals., • Strong development skills in C/C++, Python., • Superb soft skills: ability to work efficiently and effectively in a group environment, and influence a cross-functional team without having direct managerial authority., • Computer Science, Engineering, or related degree; preferably MS or PhD., • Driven and self-directed. Perks: • 20 vacation days, • Strong health and extended health benefits, • Unlimited sick days, • Stock options Please apply even if you don't check all the boxes. We are an inclusive and diverse company and welcome applicants from all backgrounds.

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About Mercor’s talent network Join our Machine Learning Engineer Expert Network to connect with leading AI labs and companies seeking your expertise. About Mercor projects Experts in our network contribute to: - Training and evaluating AI models in Machine Learning Engineering - Creating tasks

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Knowledge and experience in implementation and operation of a Learning Management System.

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