Crusoe
San Francisco, California
Job Description Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence . As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack - from electrons to tokens - to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that - with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved - people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. Crusoe's Data Center Infrastructure Engineering (DCIE) team is fundamental to our mission of providing AI hardware and infrastructure as a service. The team provides infrastructure for Crusoe's fleet GPU's and data center. The team sits at the nexus of high performance computing and AI infrastructure as a service. The DCIE team owns, deployment maintenance, observability, critical environment, and automation. The team builds, and maintains GPU clusters, develops automation for logical and physical maintenance, provision systems, and observability tooling. About the Role: We are seeking a highly skilled and motivated Software Engineer to join Crusoe's Data Center Infrastructure Engineering team. This position is focused on the development of software for the management of a fleet of GPU servers as well as the data centers that house those systems. The role focuses on the developing and implementing advanced diagnostic, observability, automation and repair tooling for high-performance GPU compute clusters. The ideal new team member will be a hands-on problem solver who is comfortable working independently. The new team member will play a critical role in maintaining the health and scalability of Crusoe's rapidly growing GPU fleet. What You'll Be Doing: Developing and implementing deep-level diagnostics and troubleshooting of hardware faults within GPU racks and high-density compute systems. Developing troubleshooting and automation tooling for GPU platforms including NVIDIA A100, H200, GB200, B200 and AMD 350X / 355X. Developing automation and AI agents for executing component-level diagnosis and remediation for failed or degraded hardware. In conjunction with data center operations develop innovative tooling and AI agents for managing the critical environment. Developing tooling for post-repair validation and testing tools such as burn-in, Pytorch, and NVIDIA NCCL to ensure system stability and performance. Own the deployment, monitoring, and operational support of developed tooling, ensuring solutions maximize GPU fleet availability and performance to drive customer success. Developing automation and operational tooling for facilities management power as well as direct liquid cooling hardware systems What You'll Bring to the Team: Software engineering experience. The ability to identify a problem, rapidly develop a scalable solution and ship it. Ability to lean in and assist team members working on critical or complex technical initiatives. Ability to set the technical direction for a specific project and execute. Expertise in distributed systems, reliability, and cloud platforms (Kubernetes, IaC, GCP etc.) Strength in at least one programming language - Go, Python, Java, Rust. Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Ability to work independently and within a team Nice to Have: Experience with Temporal and Kubernetes. Experience working directly with hardware vendors. Background in large-scale GPU fleet operations or hyperscale data center environments. 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 month Compensation Range Compensation will be paid in the range of up to $250,000 - $300,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, 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.
Job Description Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence . As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack - from electrons to tokens - to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that - with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved - people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. Crusoe's Data Center Infrastructure Engineering (DCIE) team is fundamental to our mission of providing AI hardware and infrastructure as a service. The team provides infrastructure for Crusoe's fleet GPU's and data center. The team sits at the nexus of high performance computing and AI infrastructure as a service. The DCIE team owns, deployment maintenance, observability, critical environment, and automation. The team builds, and maintains GPU clusters, develops automation for logical and physical maintenance, provision systems, and observability tooling. About the Role: We are seeking a highly skilled and motivated Software Engineer to join Crusoe's Data Center Infrastructure Engineering team. This position is focused on the development of software for the management of a fleet of GPU servers as well as the data centers that house those systems. The role focuses on the developing and implementing advanced diagnostic, observability, automation and repair tooling for high-performance GPU compute clusters. The ideal new team member will be a hands-on problem solver who is comfortable working independently. The new team member will play a critical role in maintaining the health and scalability of Crusoe's rapidly growing GPU fleet. What You'll Be Doing: Developing and implementing deep-level diagnostics and troubleshooting of hardware faults within GPU racks and high-density compute systems. Developing troubleshooting and automation tooling for GPU platforms including NVIDIA A100, H200, GB200, B200 and AMD 350X / 355X. Developing automation and AI agents for executing component-level diagnosis and remediation for failed or degraded hardware. In conjunction with data center operations develop innovative tooling and AI agents for managing the critical environment. Developing tooling for post-repair validation and testing tools such as burn-in, Pytorch, and NVIDIA NCCL to ensure system stability and performance. Own the deployment, monitoring, and operational support of developed tooling, ensuring solutions maximize GPU fleet availability and performance to drive customer success. Developing automation and operational tooling for facilities management power as well as direct liquid cooling hardware systems What You'll Bring to the Team: Software engineering experience. The ability to identify a problem, rapidly develop a scalable solution and ship it. Ability to lean in and assist team members working on critical or complex technical initiatives. Ability to set the technical direction for a specific project and execute. Expertise in distributed systems, reliability, and cloud platforms (Kubernetes, IaC, GCP etc.) Strength in at least one programming language - Go, Python, Java, Rust. Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Ability to work independently and within a team Nice to Have: Experience with Temporal and Kubernetes. Experience working directly with hardware vendors. Background in large-scale GPU fleet operations or hyperscale data center environments. 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 month Compensation Range Compensation will be paid in the range of up to $250,000 - $300,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, 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.
Crusoe
Sunnyvale, California
Job Description Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence . As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack - from electrons to tokens - to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that - with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved - people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. Crusoe's Data Center Infrastructure Engineering (DCIE) team is fundamental to our mission of providing AI hardware and infrastructure as a service. The team provides infrastructure for Crusoe's fleet GPU's and data center. The team sits at the nexus of high performance computing and AI infrastructure as a service. The DCIE team owns, deployment maintenance, observability, critical environment, and automation. The team builds, and maintains GPU clusters, develops automation for logical and physical maintenance, provision systems, and observability tooling. About the Role: We are seeking a highly skilled and motivated Software Engineer to join Crusoe's Data Center Infrastructure Engineering team. This position is focused on the development of software for the management of a fleet of GPU servers as well as the data centers that house those systems. The role focuses on the developing and implementing advanced diagnostic, observability, automation and repair tooling for high-performance GPU compute clusters. The ideal new team member will be a hands-on problem solver who is comfortable working independently. The new team member will play a critical role in maintaining the health and scalability of Crusoe's rapidly growing GPU fleet. What You'll Be Doing: Developing and implementing deep-level diagnostics and troubleshooting of hardware faults within GPU racks and high-density compute systems. Developing troubleshooting and automation tooling for GPU platforms including NVIDIA A100, H200, GB200, B200 and AMD 350X / 355X. Developing automation and AI agents for executing component-level diagnosis and remediation for failed or degraded hardware. In conjunction with data center operations develop innovative tooling and AI agents for managing the critical environment. Developing tooling for post-repair validation and testing tools such as burn-in, Pytorch, and NVIDIA NCCL to ensure system stability and performance. Own the deployment, monitoring, and operational support of developed tooling, ensuring solutions maximize GPU fleet availability and performance to drive customer success. Developing automation and operational tooling for facilities management power as well as direct liquid cooling hardware systems What You'll Bring to the Team: Software engineering experience. The ability to identify a problem, rapidly develop a scalable solution and ship it. Ability to lean in and assist team members working on critical or complex technical initiatives. Ability to set the technical direction for a specific project and execute. Expertise in distributed systems, reliability, and cloud platforms (Kubernetes, IaC, GCP etc.) Strength in at least one programming language - Go, Python, Java, Rust. Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Ability to work independently and within a team Nice to Have: Experience with Temporal and Kubernetes. Experience working directly with hardware vendors. Background in large-scale GPU fleet operations or hyperscale data center environments. 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 month Compensation Range Compensation will be paid in the range of up to $250,000 - $300,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, 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.
Job Description Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence . As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack - from electrons to tokens - to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that - with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved - people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. Crusoe's Data Center Infrastructure Engineering (DCIE) team is fundamental to our mission of providing AI hardware and infrastructure as a service. The team provides infrastructure for Crusoe's fleet GPU's and data center. The team sits at the nexus of high performance computing and AI infrastructure as a service. The DCIE team owns, deployment maintenance, observability, critical environment, and automation. The team builds, and maintains GPU clusters, develops automation for logical and physical maintenance, provision systems, and observability tooling. About the Role: We are seeking a highly skilled and motivated Software Engineer to join Crusoe's Data Center Infrastructure Engineering team. This position is focused on the development of software for the management of a fleet of GPU servers as well as the data centers that house those systems. The role focuses on the developing and implementing advanced diagnostic, observability, automation and repair tooling for high-performance GPU compute clusters. The ideal new team member will be a hands-on problem solver who is comfortable working independently. The new team member will play a critical role in maintaining the health and scalability of Crusoe's rapidly growing GPU fleet. What You'll Be Doing: Developing and implementing deep-level diagnostics and troubleshooting of hardware faults within GPU racks and high-density compute systems. Developing troubleshooting and automation tooling for GPU platforms including NVIDIA A100, H200, GB200, B200 and AMD 350X / 355X. Developing automation and AI agents for executing component-level diagnosis and remediation for failed or degraded hardware. In conjunction with data center operations develop innovative tooling and AI agents for managing the critical environment. Developing tooling for post-repair validation and testing tools such as burn-in, Pytorch, and NVIDIA NCCL to ensure system stability and performance. Own the deployment, monitoring, and operational support of developed tooling, ensuring solutions maximize GPU fleet availability and performance to drive customer success. Developing automation and operational tooling for facilities management power as well as direct liquid cooling hardware systems What You'll Bring to the Team: Software engineering experience. The ability to identify a problem, rapidly develop a scalable solution and ship it. Ability to lean in and assist team members working on critical or complex technical initiatives. Ability to set the technical direction for a specific project and execute. Expertise in distributed systems, reliability, and cloud platforms (Kubernetes, IaC, GCP etc.) Strength in at least one programming language - Go, Python, Java, Rust. Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Ability to work independently and within a team Nice to Have: Experience with Temporal and Kubernetes. Experience working directly with hardware vendors. Background in large-scale GPU fleet operations or hyperscale data center environments. 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 month Compensation Range Compensation will be paid in the range of up to $250,000 - $300,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, 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.
TensorWave
Henderson, Nevada
Job Description 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 workloads across multiple data centers. Our environment includes GPU-intensive systems, high-throughput networking, and rapidly scaling compute clusters. We are looking for a Senior Hardware Diagnostics Engineer to own that surface: which versions we run, how we prove a version is safe, and how we push it across a fleet without breaking production. You'll set the bar for what validated hardware means here, build the tooling that enforces it, and be the person we escalate to when a failure doesn't make sense. Firmware is where a lot of our hardest problems live. A BIOS revision changes how a GPU enumerates. A BMC update fixes one thing and breaks telemetry. What You'll Do Own the firmware lifecycle across BIOS, BMC, NIC, GPU, and storage controllers: version qualification, approved baselines, staged rollout, and rollback Design and build the validation harness that qualifies a firmware release before it reaches production, including regression and performance comparison between versions Build automation against Redfish, IPMI, and vendor management APIs so firmware and validation work runs at fleet scale rather than node by node Define what passing burn-in means: the test matrix, the thresholds, and the evidence we keep Make fleet-wide changes safe and predictable through pre-flight validation, blast radius control, staged waves, and a rollback path that has actually been tested Lead root cause analysis on hardware and firmware failures nobody else can reproduce, including PCIe error analysis, sensor and event log forensics, and thermal and power telemetry Own technical escalation with OEM, ODM, and silicon vendors on firmware defects, and track fixes to closure Prepare validation and bring-up capability for next-generation AMD platforms before the hardware lands Mentor the diagnostics engineer on the team, and turn recurring findings into runbooks and tooling Participate in incident response and root cause analysis Contribute to runbooks, documentation, and operational best practices Who You Are Required Qualifications 6+ years in infrastructure engineering, hardware validation, systems engineering, or a closely related field Deep hands-on experience with BMCs and out-of-band management - Redfish, IPMI, iDRAC, iLO, or equivalent - including scripted interaction, not clicking through a web UI Direct firmware experience flashing, qualifying, and troubleshooting BIOS, BMC, and device firmware on enterprise servers, and a clear sense of how badly this can go wrong at scale Strong Linux systems skills: boot process, kernel and driver behavior, and hardware diagnostics such as dmesg , lspci , ipmitool , SMART, and vendor CLIs Ability to read low-level hardware signals: PCIe topology and error output, SEL and sensor data, thermal and power telemetry Python for automation against REST APIs - Redfish, vendor tooling, and internal systems A rigorous diagnostic method: you form a hypothesis, design a test that can disprove it, isolate one variable at a time, and document the evidence behind your conclusion Experience driving hardware issues with vendors through to resolution Clear technical writing for runbooks, RCAs, and vendor escalations Preferred Qualifications AMD GPU and ROCm experience: amd-smi , rocm-smi , ROCm Validation Suite GPU and HPC validation at scale: stress testing, collective communication testing with RCCL or NCCL, node health frameworks Low-level bus and firmware work: I2C, SMBus, BMC firmware behavior, Redfish schema extensions Kernel-level debugging, including crash dump analysis Ansible for fleet operations, and Git-based workflows with CI/CD NetBox or other DCIM and IPAM tooling as a source of truth Prior work at an OEM, ODM, or hyperscaler on hardware bring-up or validation First Six Months By 90 days you'll have qualified and rolled out a firmware release using our existing process - and told us what's wrong with it. By six months, a validation step that used to be manual runs automatically, and we can state our approved firmware baseline across the fleet without anyone checking node by node. 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 . 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 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 workloads across multiple data centers. Our environment includes GPU-intensive systems, high-throughput networking, and rapidly scaling compute clusters. We are looking for a Senior Hardware Diagnostics Engineer to own that surface: which versions we run, how we prove a version is safe, and how we push it across a fleet without breaking production. You'll set the bar for what validated hardware means here, build the tooling that enforces it, and be the person we escalate to when a failure doesn't make sense. Firmware is where a lot of our hardest problems live. A BIOS revision changes how a GPU enumerates. A BMC update fixes one thing and breaks telemetry. What You'll Do Own the firmware lifecycle across BIOS, BMC, NIC, GPU, and storage controllers: version qualification, approved baselines, staged rollout, and rollback Design and build the validation harness that qualifies a firmware release before it reaches production, including regression and performance comparison between versions Build automation against Redfish, IPMI, and vendor management APIs so firmware and validation work runs at fleet scale rather than node by node Define what passing burn-in means: the test matrix, the thresholds, and the evidence we keep Make fleet-wide changes safe and predictable through pre-flight validation, blast radius control, staged waves, and a rollback path that has actually been tested Lead root cause analysis on hardware and firmware failures nobody else can reproduce, including PCIe error analysis, sensor and event log forensics, and thermal and power telemetry Own technical escalation with OEM, ODM, and silicon vendors on firmware defects, and track fixes to closure Prepare validation and bring-up capability for next-generation AMD platforms before the hardware lands Mentor the diagnostics engineer on the team, and turn recurring findings into runbooks and tooling Participate in incident response and root cause analysis Contribute to runbooks, documentation, and operational best practices Who You Are Required Qualifications 6+ years in infrastructure engineering, hardware validation, systems engineering, or a closely related field Deep hands-on experience with BMCs and out-of-band management - Redfish, IPMI, iDRAC, iLO, or equivalent - including scripted interaction, not clicking through a web UI Direct firmware experience flashing, qualifying, and troubleshooting BIOS, BMC, and device firmware on enterprise servers, and a clear sense of how badly this can go wrong at scale Strong Linux systems skills: boot process, kernel and driver behavior, and hardware diagnostics such as dmesg , lspci , ipmitool , SMART, and vendor CLIs Ability to read low-level hardware signals: PCIe topology and error output, SEL and sensor data, thermal and power telemetry Python for automation against REST APIs - Redfish, vendor tooling, and internal systems A rigorous diagnostic method: you form a hypothesis, design a test that can disprove it, isolate one variable at a time, and document the evidence behind your conclusion Experience driving hardware issues with vendors through to resolution Clear technical writing for runbooks, RCAs, and vendor escalations Preferred Qualifications AMD GPU and ROCm experience: amd-smi , rocm-smi , ROCm Validation Suite GPU and HPC validation at scale: stress testing, collective communication testing with RCCL or NCCL, node health frameworks Low-level bus and firmware work: I2C, SMBus, BMC firmware behavior, Redfish schema extensions Kernel-level debugging, including crash dump analysis Ansible for fleet operations, and Git-based workflows with CI/CD NetBox or other DCIM and IPAM tooling as a source of truth Prior work at an OEM, ODM, or hyperscaler on hardware bring-up or validation First Six Months By 90 days you'll have qualified and rolled out a firmware release using our existing process - and told us what's wrong with it. By six months, a validation step that used to be manual runs automatically, and we can state our approved firmware baseline across the fleet without anyone checking node by node. 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 . 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.