Sonic Nvidia Robot Jobs in Usa

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RTX Corporation is an Aerospace and Defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses – Collins Aerospace Systems, Pratt & Whitney, and Raytheon. Its 185,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity. The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, VA.

At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world.

We have an exciting opportunity for a Senior Software Engineer – Embedded to join our Electro-Optical & Infrared (EO/IR) Solutions Engineering Team in McKinney, TX, which is part of our Advanced Products & Solutions group.

The Advanced Product and Solutions organization at RTX provides the joint warfighter with actionable information from an unblinking eye across the battlespace. By joining the APS Engineering team you’ll have the opportunity to design, develop and test product capabilities for Active Electronically Scanned Array (AESA) radars, integrated sensor suites, precision targeting, multispectral EO/IR targeting systems, Pilot Situational Awareness, Special mission aircraft and Strategic and tactical ISR Systems.

But more than anything, we are innovators, creators and strategists drawing inspiration from each other every day. We collaborate, iterate, and execute with an eye toward the company mission and personal career growth.

Explore our opportunities today and join us!

What You Will Do

• Supports all aspects of a software development life cycle as members of a multi-disciplined team. This would include supporting new and legacy military and commercial programs from concept and requirements, to design, development, integration, test, and potentially subsequent maintenance tasking.

• Uses and provides creative solutions to complex technical system and software integration problems.

• Works closely with Systems Engineers to design ideal solutions with the end user and operational needs in mind.

• The ability to obtain and maintain a Secret U.S. government issued security clearance and a Special Access Program security clearance. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.

• Work onsite at McKinney, TX [relocation eligible]

• This position will require occasional business-related travel.

Qualifications You Must Have

• Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 5 years of prior relevant experience unless prohibited by local laws/regulations.

• Development experience on Linux, VxWorks, or other Real Time Operating Systems.

• Experience using object-oriented programming and C++ design paradigms.

• Experience in developing, testing, and integrating real-time software applications written in C++.

• Additional experience in coding using C, C#, Java or closely related software languages.

• Working knowledge in computer scripting language such as Shell/Perl/Python.

• Experience working with multi-discipline team(s).

• Active and transferable U.S. government issued Secret security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.

Qualifications We Prefer

• Experience working in lab environments with physical hardware (e.g., test benches, simulators).

• Ability to quickly understand and navigate complex systems and established code bases.

• Experience with product development utilizing the Scrum techniques of the Agile software development process.

• Experience with DevSecOps pipeline implementation and utilization, including Static Code Analysis, Automated Build, and Automated Test techniques using continuous integration/continuous delivery with Test-Driven Development approach.

• Hands-on experience with Git for version control and GitLab for repository management.

• Ability to manage multiple priorities.

• Experienced in developing in CUDA to accelerate compute-intensive workloads on Nvidia GPUs.

What We Offer

Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, Innovation, and Safety.

Learn More & Apply Now!

Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.

Clearance Information: This position requires security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here:  

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

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Field Applications Engineer – Aerospace & Space Systems

Location: Los Angeles, California, United States

A leading developer of rugged embedded computing systems used in aerospace, defense, and space applications is looking for a Field Applications Engineer to support customers across the United States. This role acts as the technical bridge between customers, engineering teams, and business development, helping aerospace and defense organizations integrate mission-critical computing solutions into their systems.

Responsibilities

• Serve as the primary technical point of contact for US customers.
• Provide pre-sales and post-sales technical support across aerospace, defense, and space programs.
• Work with customers to define system requirements and identify appropriate solutions.
• Deliver technical presentations, product demonstrations, and customer workshops.
• Collaborate with engineering, operations, and program teams to resolve technical challenges.
• Support business development by helping translate customer requirements into technical solutions.
• Contribute to technical documentation, including application notes and integration guidance.

Requirements

• 5+ years of experience in embedded hardware or software development/support.
• 3+ years in a customer-facing engineering role (Field Applications, technical sales, or field engineering).
• Bachelor’s degree in Electrical Engineering, Computer Science, or related field.
• Strong understanding of embedded computing systems.
• Ability to communicate technical concepts clearly to customers and internal teams.

Due to regulatory requirements, candidates must qualify as a U.S. Person under ITAR regulations.

Preferred Experience

• Aerospace, defense, or space industry experience.
• SpaceVPX or cPCI architectures.
• ARM or PowerPC processor architectures.
• Embedded operating systems such as VxWorks or Linux.
• NVIDIA embedded GPU platforms.

Why Join?

• Work on mission-critical computing systems used across land, air, sea, and space.
• Collaborate with major aerospace primes and innovative space companies.
• Join a company at the forefront of embedded computing technology.

Due to the number of applicants, if you have not received feedback after 2 weeks of applying, then unfortunately, you have been unsuccessful.

Talent Acquisition Manager – AI Infrastructure & Engineering

San Francisco, California

Hybrid Working

We are expanding our global team and launching a new office in San Francisco.

WNTD is looking for an experienced Talent Acquisition Manager to join our Talent Solutions team and support the continued growth of AI infrastructure and accelerated compute platforms across North America.

This role will support one of the most significant AI infrastructure expansion programmes currently underway, focused on building next generation platforms powered by NVIDIA accelerated compute.

You will work closely with senior technical leaders to attract and hire talent across the full infrastructure stack including software engineering, AI platforms, GPU environments and large scale compute infrastructure.

This is a delivery focused role supporting high growth engineering programmes across AI infrastructure and cloud platforms.

The Role

You will lead hiring across multiple engineering disciplines spanning software engineering, AI infrastructure platforms and high performance compute environments.

Working closely with technical leadership and programme stakeholders, you will build pipelines of high quality candidates and manage fast moving hiring plans across several technical workstreams.

Key Responsibilities

• Build and manage talent pipelines across software engineering, AI infrastructure and GPU compute environments

• Proactively source talent across the United States through mapping, referrals and direct outreach

• Screen candidates for technical capability, experience and long term fit

• Partner with engineering leaders to define hiring priorities and role requirements

• Maintain clear tracking of hiring pipelines and delivery progress

• Support wider Talent Solutions activity during peak delivery phases

• Ensure a professional and consistent candidate experience

• Champion fair and inclusive hiring practices

Key Experience

• Proven experience hiring across complex engineering environments

• Strong track record building pipelines across software and infrastructure roles

• Comfortable engaging with technical stakeholders and discussing engineering topics

• Excellent communication and stakeholder management skills

• Strong organisation with the ability to manage multiple roles simultaneously

What We Offer

• Competitive salary and benefits

• Opportunity to support one of the fastest growing AI infrastructure build programmes globally

• Growth within a high performing delivery focused team

• Hybrid working model

• A collaborative culture that values ownership, pace and problem solving

Additional Requirements

• Ability to commute to the San Francisco office

• No visa sponsorship available

• Hybrid working model

Vice President of AI Infrastructure & Engineering

Reporting to: CEO

Position Overview

*Build and Overscale Training Platform:* Design and maintain high-performance training architecture supporting GPU clusters at the scale of tens of thousands of cards.

*Key Focus:* Establish a unified task scheduling and model management system (MLOps). All model training, checkpoint storage, and code version control must be exclusively conducted through this platform.

*Engineering-Led Data Governance:*

Develop end-to-end data processing pipelines covering cleansing, annotation, versioning, and secure storage.

*Key Focus:* Implement rigorous data access audit logs and data lineage tracking to ensure security and compliance of core data assets.

*Developer Experience as Control Mechanism:*

Maximize experimental efficiency through standardized toolchains, enabling researchers to focus solely on algorithm development without managing underlying configurations.

*Key Focus:* Codify “best practices” into reusable code templates.

*System Reliability and Disaster Recovery:*

Implement fault tolerance, automated model snapshot archiving, and continuity protocols to prevent loss of critical assets due to single points of failure (hardware or human).

Qualifications

*Background:* 10+ years in distributed systems, cloud computing, or high-performance computing (HPC), with prior experience in core infrastructure teams at leading firms such as Google, Meta, AWS, or NVIDIA.

*Mindset:* Exceptional engineering rigor with a focus on building stable, scalable systems rather than solely pursuing algorithmic innovation. Service-oriented attitude with a commitment to empowering top-tier scientists.

*Technical Skills:* Proficiency in orchestration systems such as Kubernetes, Ray, or Slurm; familiarity with PyTorch distributed training frameworks; deep understanding of data security and access control mechanisms.

As a Hivemind Build and CI engineer, you will design and implement engineering centric automation across the organization. You will work closely with the product development teams implementing policies and guidelines into the continuous integration and delivery systems. This role requires you to be very hands on and contribute to discussions with cross-functional teams across the organization. We embrace an attitude that focuses on solving the root cause of problems efficiently. A large part of your day to day will be in our build pipelines, build configuration management, and focusing on making changes to increase developer iteration time.

What you'll do:

• Own the Hivemind CI/CD system, engaging with autonomy developers and the Developer Experience team daily to support as needed.
• Manage and own the monitoring tool stack, focusing on build infrastructure metrics
• Manage and own internal build containers used by all of the Hivemind organization
• Support AI engineers with build issues, and educate on best practices
• Work closely with the Developer Experience team to improve engineering efficiency

Required qualifications:

• BS in computer science or related engineering field with 3+ years of professional experience.
• Experience with configuration management tools (Makefile, CMake, Conan, Bazel, etc.)
• Strong demonstrated proficiency in continuous integration/delivery (e.g. Github Actions, ADO, TeamCity, etc.).
• Strong understanding of C++ (or other compiled language), Linux and CMake
• Strong knowledge of APIs, web services, and identity access management
• Strong knowledge of containers (e.g. Docker, Podman, etc.).
• Strong knowledge of scripting languages (Bash, Python, PowerShell).
• Strong knowledge of Git.
• Strong system administration in Linux (w/ Windows a bonus).
• Strong desire to learn and grow on the job.

Preferred qualifications:

• Strong Experience with Conan Package Manager
• Experience with Rust in a production environment.
• Experience with Hardware in the Loop build/deploy/test systems
• Experience owning build infrastructure
• Experience with NVIDIA Jetson products

$120,000 - $180,000 a year

Full-time regular employee offer package:

Pay within range listed + Bonus + Benefits + Equity

Temporary employee offer package:

Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.

Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee, whether a team member of Etsy or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and keeping commerce human.

Salary Range: $252,000.00 - $328,000.00

What's the role? We are looking for a Senior Engineering Manager to lead our Models team. In this role, you will manage a team of motivated ICs to build the next generation of Etsy's models platform, which in turn will enable your customer teams to improve the quality of search, ads, recommendations, and other ML applications for nearly 100M buyers and over 5M sellers. Do you have a passion for training, serving and scaling machine learning models? Are you excited by the challenges of building a platform for diverse machine learning use cases? Are you motivated to lead and develop ICs at different stages of their careers? If so, this could be the perfect match. This opportunity is a full-time position reporting to the Director of Engineering for ML Enablement. This position will be in Brooklyn, NY or for remote candidates based in the United States.

What's this team like at Etsy? The Machine Learning Enablement Initiative builds and maintains a complete ecosystem of ML systems including our feature & embeddings store, model training, serving, orchestration and testing infrastructure. The Models team is responsible for the model catalog, APIs, and serving infrastructure that runs our online models at high scale (millions of inferences per second). It is a small team historically focused on operations, but transitioning to play a more direct role in the application layer. The team is presently leading Etsy's migration from Tensorflow to Pytorch, building upon an innovative architecture designed in-house and based on KServe, NVIDIA Triton, Apache Arrow, and Ray. We are using this opportunity to fill in historical gaps in automation, integration, and standardization across the ML platform. We aspire to unify modeling approaches across all major ML development teams at Etsy. This is a big, challenging opportunity to influence how models are created, trained, and deployed across the entire company!

What does the day-to-day look like? Meet with customers to understand their latest use cases. Work with your team and partners to translate those use cases into concrete requirements. Offer an informed point of view on engineering, system design, and machine learning considerations. Keep track of ongoing issues (stability, performance, cost) with models on the platform, and identify short-term fixes and long-term platform improvements. Maintain a product roadmap, lead agile processes and plan workstreams for a team of 4 ICs. Occasionally lead multi-functional \"tiger teams\" for dedicated projects. Coach your ICs and support their career development trajectories. Own and maintain the team's customer-facing surfaces: documentation, code examples, metrics, dashboards, UIs, launch announcements, etc. We are proud of our engineering culture that encourages career growth and learning in a blameless environment. You can learn more about our philosophies, tools, and some of the challenges we've been solving on our Engineering blog. Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.

Qualities that will help you thrive are: A strong track record of developing and serving machine learning models at scale, with at least 4 years in a leadership capacity (tech lead or EM) and 2 years as an engineering manager. You like to be deep in the technical work, but you can also build partnerships across teams in a highly collaborative environment. Passion for building platforms that don't just work, but that are easy to maintain and extend, and are delightful to use. You are a strong collaborator, communicator, and coach and you are passionate about helping the engineers around you grow and learn. You have 5+ years of experience building, iterating and solving complex problems with a significant backend component. Background and hands-on experience with Cloud technologies (Google Cloud, AWS, Kubernetes) is a plus.

Additional Information If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status, or any other characteristic protected by applicable law. If, due to a disability, you need an accommodation during any part of the application or interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.

The Global Account Manager is responsible for developing and maintaining key customer accounts, working both independently and in collaboration with an account team. This role has both strategic and tactical responsibilities. The Global Account Manager ensures that Cohu is positioned for long‑term success with assigned customers by aligning internal resources and coordinating operational execution to meet or exceed customer requirements and expectations.

Essential Functions / Major Responsibilities

• Maintain overall responsibility for managing Cohu’s business and relationships with assigned customer accounts. Collaborate with global cross‑functional teams (Engineering, Manufacturing, Service, Sales, Finance, Operations) to communicate customer expectations and ensure Cohu is meeting bookings targets and achieving desired market share.

• Serve as the primary internal and external contact for customer issues. Lead meetings to define and present technical information and drive delivery schedule communications.

• Schedule and coordinate regular product reviews, management reviews, technology roadmap discussions, and other meetings to understand customer requirements, identify growth opportunities, and influence future business.

• Communicate regularly with customers as their primary point of escalation and incident management. Own customer issues, ensure timely resolution, and escalate to senior management when necessary.

• Build and cultivate strong relationships across multiple levels within customer organizations to achieve strategic selling objectives by influencing key stakeholders.

• Maintain visibility into customer operations and plans. Identify and address potential gaps in Cohu’s performance before they escalate. Monitor and communicate customer strategy shifts that may impact Cohu’s business.

• Create and deliver technical presentations as needed.

• Prepare and distribute regular reports documenting account activities, key events, status updates, and action items.

• Take ownership of customer satisfaction scorecards; address issues with urgency to maintain a high level of customer satisfaction.

• Prepare timely responses to RFQs and RFIs.

• Lead contract negotiations, collaborating with internal stakeholders to define negotiation strategies and achieve optimal results.

• Provide leadership in setting work priorities and schedules across the organization to support customer needs.

• Identify, define, and develop new business opportunities.

• Prepare accurate and timely forecasts.

• Coordinate and host customer meetings and conference calls. Lead or participate in Equipment User Group meetings as appropriate.

Qualifications

Education

• Bachelor’s degree, preferably in Engineering with emphasis in Mechanical, Electrical, or Mechatronics.

Experience

• Minimum of 5 years in the semiconductor equipment industry or related business, serving in a sales, service, or marketing capacity as a supplier or user of back‑end equipment.

• Experience working with customers manufacturing AI-, ML-, or HPC‑class semiconductor devices—such as Nvidia, Google, Microsoft, Apple, OpenAI (ChatGPT), or similar advanced computing chipmakers

Skills / Technical Requirements

• Ability to function successfully in a dynamic, high‑pressure environment while remaining calm, confident, and solutions‑focused.

• Strong interpersonal, communication (written and verbal), and negotiation skills.

• Demonstrated ability to apply situational leadership and collaborate effectively with all levels of internal and external stakeholders.

• Strong organizational and problem‑solving skills.

• Ability to maintain a sense of urgency and motivate cross‑functional teams to achieve objectives.

• Proficiency with Microsoft Office applications, particularly Excel and PowerPoint.

Job Conditions / Physical Demands

• Work is primarily performed in a typical office environment but includes regular time at customer sites and on factory floors.

• Domestic and international travel is required.

Protective Equipment

• Required in designated areas.

With more than 3000 employees worldwide, we offer challenging and rewarding work experiences, generous employee benefits and a strong company culture. If you are looking for a global publicly traded company that provides you with international experience and a challenging work environment, then Cohu is your choice.

Connect with Cohu…

Connect with your future…

Cohu firmly supports the U.S. national and various state and local policies of equal employment opportunity which are designed to provide equality of employment and advancement opportunities to every individual without regard to unlawful considerations of race, color, religion, national origin, citizenship status, ancestry, gender, gender identity or gender expression, age, marital status, sexual orientation, disability, medical conditions, pregnancy, genetic information, military or veteran status or any other legally protected category.

In addition, reasonable accommodations are available to qualified disabled individuals, upon request.

Globally, Cohu is committed to full compliance with all applicable laws and regulations governing employment, in the U.S. and in all other locations around the world where we have operations.

Job Title: Robot Programmer / Technician – Fanuc

Location: Warsaw, IN

Role Overview

We are seeking Robot Programmers/Technicians with hands-on Fanuc robotics experience to support integration and commissioning efforts for a high-volume automotive manufacturer in Northern Indiana.

This role requires strong hands-on experience with Fanuc robotics, body shop applications, and special means build. The selected candidates will support programming, touch-ups, commissioning, and quality collaboration during pre-commissioning and launch phases.

This is a high-impact, floor-support role in an active manufacturing and commissioning environment.

Mandatory Skills

• 2–5 years of experience with robot setup, troubleshooting, and/or programming
• Experience with Fanuc robotics (SpotTool+ & V9.40 for R30iB Plus controller preferred)
• Certification-only Fanuc experience is acceptable
• Must be willing to work onsite in Warsaw, IN – 6 days/week, 12-hour shifts

Key Responsibilities

Programming & Optimization

• Develop, modify, and optimize Fanuc robot programs for body shop applications
• Configure robot frames, tools, payloads, and TCPs
• Support rapid program adjustments during special means builds

Commissioning & Startup Support

• Perform robot teaching, touch-ups, and recovery in production and pre-commissioning environments
• Support robot cell startup and offline system work
• Assist in commissioning activities under tight timelines

Troubleshooting & Floor Support

• Troubleshoot robot alarms, motion issues, and sequence ladder logic
• Coordinate with Controls teams to validate I/O, interlocks, and handshaking
• Provide on-floor programming support during peak production periods

Quality & Collaboration

• Work closely with Quality teams to improve weld quality, part accuracy, and repeatability
• Support containment actions and fast-turn engineering changes
• Follow all safety procedures in active manufacturing environments

Required Qualifications

• 2–5 years of industrial robotics experience
• Strong hands-on Fanuc programming and troubleshooting
• Experience in automotive body shop environments preferred
• Ability to work extended shifts in a fast-paced manufacturing setting
• Strong problem-solving and teamwork skills

Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability.

Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.

About This Role:

Crusoe Cloud is revolutionizing high-performance computing by offering sustainable, low-cost GPU compute power. As a Senior Cloud Support Engineer, you'll play a crucial role in empowering our customers to leverage this technology for groundbreaking advancements in fields like AI/ML, physics simulations, and computational biology. You will be the primary point of contact for technical support, ensuring our customers can seamlessly utilize Crusoe Cloud to achieve their goals. This role directly impacts Crusoe's mission by enabling our customers to accelerate their research and development, contributing to a more sustainable future. You will be involved in exciting projects, working with cutting-edge technologies and collaborating with a talented team to solve complex challenges. The ideal candidate is a highly motivated and experienced technical professional with a passion for customer success, a deep understanding of cloud technologies, and a commitment to Crusoe's values. This is a full-time position.

What You’ll Be Working On:

• Customer Support: Provide exceptional technical support to customers via Zendesk, meeting SLAs and maintaining high CSAT (95%+).
• On-Call Rotation: Participate in a 24/7 on-call rotation to ensure timely resolution of critical issues.
• Troubleshooting: Diagnose and resolve issues related to VMs, hardware failures, and scaling tests using CLI and internal tools.
• Alert Triage and Maintenance: Manage alert triage, prepare for maintenance windows, and conduct node delivery testing.
• Collaboration: Work closely with SRE, Networking, and Storage teams from initial triage to root cause analysis (RCA) delivery.
• Global Teamwork: Adhere to global team collaboration and handoff processes for ticketing and on-call procedures.
• Knowledge Sharing: Develop onboarding/training materials, knowledge base documentation, and standard operating procedures (SOPs).

What You’ll Bring to the Team:

• Education/Experience: Bachelor's degree in IT, Computer Science, Engineering, or a related field, or 4+ years of equivalent technical experience.
• Linux Proficiency: Strong command-line interface (CLI) skills in Linux environments.
• Version Control: Proficiency with Git for code management and collaboration.
• Customer Support Experience: 5+ years of experience in a customer support role, ideally within cloud, storage, or networking environments.
• Cloud Technologies: Experience with container orchestration (e.g., Kubernetes), workload management (e.g., Slurm, Terraform), and monitoring tools (e.g., Grafana).
• Public Cloud Knowledge: Familiarity with other public cloud platforms (e.g., AWS, Azure, GCP).
• Communication Skills: Excellent communication and customer service skills, including the ability to prioritize competing escalations.
• HPC Knowledge: Understanding of HPC technologies such as Infiniband, RDMA, RoCE, and Software Defined Networking (SDN).

Bonus Points:

• Certifications: CKA, CKAD, CKS, KCNA, AWS Machine Learning - Specialty, Data Analytics - Specialty, Solutions Architect - Professional, Developer - Associate, NVIDIA AI Infrastructure and Operations, Generative AI and LLMs, Generative AI Multi-modal, Infiniband, Linux Foundation IT Associate, System Administrator.
• Cloud Expertise: Deep understanding of specific cloud platforms and services.
• Automation Skills: Experience with automation tools and scripting languages.
• Problem-Solving Abilities: Demonstrated ability to analyze complex technical issues and develop effective solutions.
• Collaboration and Mentorship: Proven ability to mentor, train, and onboard colleagues.
• Passion for Sustainability: A strong interest in contributing to a more sustainable future through technology.

Benefits:

• Industry competitive pay
• Restricted Stock Units in a fast growing, well-funded technology company
• Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
• Employer contributions to HSA accounts
• Paid Parental Leave
• Paid life insurance, short-term and long-term disability
• Teladoc
• 401(k) with a 100% match up to 4% of salary
• Generous paid time off and holiday schedule
• Cell phone reimbursement
• Tuition reimbursement
• Subscription to the Calm app
• MetLife Legal
• Company paid commuter benefit; $300 per pay period

Compensation:

Compensation will be paid between $125,000 and $151,000 + Bonus. Restricted Stock Units are included in all offers. Salary will be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.

Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.