Hardware Engineer Jobs in Austin.
All active Hardware Engineer roles based in Austin.
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Cloud Operations Administrator - II
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We want people who are passionate about troubleshooting complex problems with systems, networking and storage at scale.
We are looking for a seasoned system administrator to help us keep the cloud running smoothly. Reporting to the manager of Cloud Operations, the GPU Operations Engineer monitors and provides first-response to all cloud health issues that impact, or could potentially impact, customer experience - internal or external. You will interface with teams across the organization to research and troubleshoot issues from single droplets to cloud-wide disturbances. Our workweek spans five days, and that may involve working on weekends.
What You'll Be Doing:
- Ensuring maximum uptime for our global infrastructure
- Automating processes and building tools to improve operational efficiency
- Coordinating operational work across teams to improve the platform with minimal impact
What You'll Add to DigitalOcean:
- Solid experience with Linux operating systems or Networking and day to day upkeep
- Familiarity with virtualization technologies and troubleshooting virtual machine instances
- Familiarity with containerization technologies and troubleshooting containers
- Familiarity with IPv4 Networking and troubleshooting (CCNA equivalent)
- Basic storage concepts and technologies
- Experience with monitoring systems and incident management
- Experience scripting in one or more of the following languages: Bash, Python, or Go
- Experience with GPU hardware or AI/ML, and Kubernetes
- A passion for good documentation and open communication
- Proven ability to learn!
Compensation Range:
- $107,000 - $134,000
*This is a remote role
JR: 2026-7423
#LI-Remote
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Cloud Operations Administrator - II
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We want people who are passionate about troubleshooting complex problems with systems, networking and storage at scale.
We are looking for a seasoned system administrator to help us keep the cloud running smoothly. Reporting to the manager of Cloud Operations, the GPU Operations Engineer monitors and provides first-response to all cloud health issues that impact, or could potentially impact, customer experience - internal or external. You will interface with teams across the organization to research and troubleshoot issues from single droplets to cloud-wide disturbances. Our workweek spans five days, and that may involve working on weekends.
What You'll Be Doing:
- Ensuring maximum uptime for our global infrastructure
- Automating processes and building tools to improve operational efficiency
- Coordinating operational work across teams to improve the platform with minimal impact
What You'll Add to DigitalOcean:
- Solid experience with Linux operating systems or Networking and day to day upkeep
- Familiarity with virtualization technologies and troubleshooting virtual machine instances
- Familiarity with containerization technologies and troubleshooting containers
- Familiarity with IPv4 Networking and troubleshooting (CCNA equivalent)
- Basic storage concepts and technologies
- Experience with monitoring systems and incident management
- Experience scripting in one or more of the following languages: Bash, Python, or Go
- Experience with GPU hardware or AI/ML, and Kubernetes
- A passion for good documentation and open communication
- Proven ability to learn!
Compensation Range:
- $107,000 - $134,000
*This is a remote role
JR: 2026-7423
#LI-Remote
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Cloud Operations Administrator - II
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We want people who are passionate about troubleshooting complex problems with systems, networking and storage at scale.
We are looking for a seasoned system administrator to help us keep the cloud running smoothly. Reporting to the manager of Cloud Operations, the GPU Operations Engineer monitors and provides first-response to all cloud health issues that impact, or could potentially impact, customer experience - internal or external. You will interface with teams across the organization to research and troubleshoot issues from single droplets to cloud-wide disturbances. Our workweek spans five days, and that may involve working on weekends.
What You'll Be Doing:
- Ensuring maximum uptime for our global infrastructure
- Automating processes and building tools to improve operational efficiency
- Coordinating operational work across teams to improve the platform with minimal impact
What You'll Add to DigitalOcean:
- Solid experience with Linux operating systems or Networking and day to day upkeep
- Familiarity with virtualization technologies and troubleshooting virtual machine instances
- Familiarity with containerization technologies and troubleshooting containers
- Familiarity with IPv4 Networking and troubleshooting (CCNA equivalent)
- Basic storage concepts and technologies
- Experience with monitoring systems and incident management
- Experience scripting in one or more of the following languages: Bash, Python, or Go
- Experience with GPU hardware or AI/ML, and Kubernetes
- A passion for good documentation and open communication
- Proven ability to learn!
Compensation Range:
- $107,000 - $134,000
*This is a hybrid role
JR: 2026-7423
#LI-Hybrid
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Cloud Operations Administrator - II
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We want people who are passionate about troubleshooting complex problems with systems, networking and storage at scale.
We are looking for a seasoned system administrator to help us keep the cloud running smoothly. Reporting to the manager of Cloud Operations, the GPU Operations Engineer monitors and provides first-response to all cloud health issues that impact, or could potentially impact, customer experience - internal or external. You will interface with teams across the organization to research and troubleshoot issues from single droplets to cloud-wide disturbances. Our workweek spans five days, and that may involve working on weekends.
What You'll Be Doing:
- Ensuring maximum uptime for our global infrastructure
- Automating processes and building tools to improve operational efficiency
- Coordinating operational work across teams to improve the platform with minimal impact
What You'll Add to DigitalOcean:
- Solid experience with Linux operating systems or Networking and day to day upkeep
- Familiarity with virtualization technologies and troubleshooting virtual machine instances
- Familiarity with containerization technologies and troubleshooting containers
- Familiarity with IPv4 Networking and troubleshooting (CCNA equivalent)
- Basic storage concepts and technologies
- Experience with monitoring systems and incident management
- Experience scripting in one or more of the following languages: Bash, Python, or Go
- Experience with GPU hardware or AI/ML, and Kubernetes
- A passion for good documentation and open communication
- Proven ability to learn!
Compensation Range:
- $107,000 - $134,000
*This is a remote role
JR: 2026-7423
#LI-Remote
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Cloud Operations Administrator - II
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We want people who are passionate about troubleshooting complex problems with systems, networking and storage at scale.
We are looking for a seasoned system administrator to help us keep the cloud running smoothly. Reporting to the manager of Cloud Operations, the GPU Operations Engineer monitors and provides first-response to all cloud health issues that impact, or could potentially impact, customer experience - internal or external. You will interface with teams across the organization to research and troubleshoot issues from single droplets to cloud-wide disturbances. Our workweek spans five days, and that may involve working on weekends.
What You'll Be Doing:
- Ensuring maximum uptime for our global infrastructure
- Automating processes and building tools to improve operational efficiency
- Coordinating operational work across teams to improve the platform with minimal impact
What You'll Add to DigitalOcean:
- Solid experience with Linux operating systems or Networking and day to day upkeep
- Familiarity with virtualization technologies and troubleshooting virtual machine instances
- Familiarity with containerization technologies and troubleshooting containers
- Familiarity with IPv4 Networking and troubleshooting (CCNA equivalent)
- Basic storage concepts and technologies
- Experience with monitoring systems and incident management
- Experience scripting in one or more of the following languages: Bash, Python, or Go
- Experience with GPU hardware or AI/ML, and Kubernetes
- A passion for good documentation and open communication
- Proven ability to learn!
Compensation Range:
- $107,000 - $134,000
*This is a remote role
JR: 2026-7423
#LI-Remote
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
About us
Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.
As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.
Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.
Job Summary
We are seeking an experienced Staff UEFI Engineer to design, develop, and deploy UEFI-based firmware for Graphcore’s hyperscale AI server platforms.
This role focuses on developing system firmware responsible for platform initialization, hardware configuration, and reliability features across large-scale data center deployments.
The Team
Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption.
The Firmware Engineering team develops the foundational firmware responsible for platform initialization, hardware configuration, and system reliability across Graphcore’s AI compute infrastructure.
The team collaborates with silicon engineering, hardware design teams, BMC firmware teams, validation engineers, and platform architects to enable reliable server platform bring-up and operation.
Responsibilities and Duties
- Design, develop, and deploy UEFI-based firmware for hyperscale server platforms.
- Collaborate with ODM partners throughout the design lifecycle from concept to mass production.
- Integrate UEFI firmware into CI/CD pipelines enabling automated builds, regression testing, and static analysis.
- Develop firmware functionality supporting platform initialization including CPU, memory, PCIe, and system interconnects.
- Implement system firmware security features including root of trust, secure boot chains, and signed firmware updates.
- Develop platform firmware features supporting server reliability, availability, and serviceability (RAS).
- Build firmware interfaces supporting telemetry, firmware updates, and system management capabilities.
- Collaborate with hardware, BMC, security, and validation teams to ensure full platform integration.
- Debug and perform root cause analysis for firmware and hardware issues across lab and production environments.
Candidate Profile
Essential
- Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related discipline.
- 10+ years of experience developing UEFI or BIOS firmware for server platforms.
- Strong expertise with UEFI, TianoCore, and firmware architecture design.
- Experience developing firmware solutions for hyperscale or cloud data center environments.
- Strong programming skills in C/C++.
- Deep understanding of DDR memory training, cache coherency protocols, and PCIe subsystems.
- Strong knowledge of server platform architecture including power delivery, thermal management, sensors, and FRUs.
- Experience implementing CI/CD pipelines for firmware development.
- Experience debugging system firmware using logic analyzers, JTAG, GDB, and similar tools.
Desirable
- Experience developing UEFI firmware for ARM-based server platforms.
- Experience with EDK II codebase development and upstream contribution.
- Experience working with ODM/JDM partners on server platform development programs.
- Experience delivering firmware for hyperscale cloud deployments and production environments.
Benefits:
In addition to a competitive salary, Graphcore offers a competitive benefits package. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
Ready to apply?
Apply to Graphcore
Who We Are
Verkada is transforming how organizations protect their people and places with an integrated, AI-powered platform. A leader in cloud physical security, Verkada helps organizations strengthen safety and efficiency through one connected software platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management.
Over 30,000 organizations worldwide, including more than 100+ companies in the Fortune 500, trust Verkada as their physical security layer for easier management, intelligent control, and scalable deployments. Founded in 2016, Verkada has expanded rapidly with 15 offices and 2,200+ full-time employees.
About The Role
We are seeking a Senior Project Engineer in the Global Services division with expert experience in Cloud Security, IoT Systems, Networking, Linux systems, Security Surveillance, and Access Control. You will partner with the Global Services Manager and Territory Account Executives to service large and strategic customers within the Verkada footprint. In this role, you will interface with customers and partners on post-sales deployment project management, assisting with technical issues and providing expert-level configuration and training on Verkada Products. We need someone who will be highly motivated, able to learn quickly, and work independently while making an impact on the success of our Global deployments.
We are committed to a thriving in-office culture. This role requires that you be on-site 5 days per week in New York City, NY.
What You'll Do
- Be the subject matter authority on the full Verkada suite of products and offerings and provide expert-level service to customers during the post-sales process
- Serve as the project management arm for customer accounts, ensuring successful deployments of Verkada products in the customer’s environment
- Magnify the value of Verkada products for customers through configuring and fine-tuning product features, use cases, and analytics; provide vendor-led training to customers
- Effectively serve as the technical voice to all levels of customer, from C-level executives to loss prevention managers and directors of IT
- Work directly with your Global Services Manager and Sales Account Executives to develop services strategies and workflows for the customer, as well as participate in cross-selling and up-selling opportunities
- Be a Product Technical Evangelist in training/educating partners, customers, and internal employees on the latest Verkada product offerings
What You Bring
- 4+ years of experience as a Sales Engineer, Technical Account Manager, Network Engineer, or Professional Services Consultant with a proven track record of working with Fortune 500 companies
- Bachelor's degree in Computer Science, Computer Engineering, Information Technology, Information and Computer Technology, Networking, IT Security, or similar field
- Ability to gain FedRAMP Compliance: Must be a U.S. Citizen or Permanent Resident (Green Card)
- Strong background in Computer Networking: HTTPS/SSL, VLANs, TCP/IP, DNS, NAT devices, DHCP servers, firewalls, and software systems
- Outstanding written & verbal communication skills to efficiently articulate technical matters with customers and partners
- Entrepreneurial and positive attitude with a strong desire to learn
- Ability to adapt to an ever evolving workplace and company
- Genuine excitement for software/hardware products, Cloud Security, and IoT devices
- Travel up to 25%
Preferred Qualifications
- Industry certifications such as AWS, CCNA, CCDA, CCNP, MCSE, CEH, Security+, A+, Network+
- Experience working with Linux systems
- Previous startup experience
Employee Benefits
Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to:
- Healthcare programs that can be tailored to meet the personal health and financial well-being needs - Premiums are 100% covered for the employee under at least one plan and 80% for family premiums under all plans
- Nationwide medical, vision and dental coverage
- Health Saving Account (HSA) with annual employer contributions and Flexible Spending Account (FSA) with tax saving options
- Expanded mental health support
- Paid parental leave policy & fertility benefits
- Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time
- Professional development stipend
- Fertility Stipend
- Wellness/fitness benefits
- Healthy lunches provided daily
- Commuter benefits
Additional Information
- You must be independently authorized to work in the U.S. We are unable to sponsor or take over sponsorship of an employment visa for this role, at this time.
Annual Pay Range
At Verkada, we want to attract and retain the best employees, and compensate them in a way that appropriately and fairly values their individual contribution to the company. With that in mind, we carefully consider a number of factors to determine the appropriate starting pay for an employee, including their primary work location and an assessment of a candidate's skills and experience, as well as market demands and internal parity. A Verkada employee may be eligible for additional forms of compensation, depending on their role, including sales incentives, discretionary bonuses, and/or equity in the company in the form of restricted stock units (RSUs)
Below is the annual on-target earnings (OTE) range for full-time employees for this position, comprised of base compensation and commissions (if applicable).
Verkada Is An Equal Opportunity Employer
As an equal opportunity employer, Verkada is committed to providing employment opportunities to all individuals. All applicants for positions at Verkada will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law.
Your application will be handled in accordance with our Candidate Privacy Policy.
Ready to apply?
Apply to Verkada
Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption.
As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Austin, which will play a central role in Graphcore's work building the future of AI computing.
The Electrical Engineer will play a pivotal role in designing innovative hardware systems for AI/ML applications. We are seeking a motivated Electrical Engineer with 2–4 years of experience in schematic capture, PCB design, and server hardware development. This role includes close collaboration with multiple partners to drive designs from concept through mass production. The ideal candidate is comfortable working across organizational boundaries, ensuring design quality, manufacturability, and on-time delivery in a fast-paced environment.
Responsibilities:
- Develop and maintain electrical schematics for various printed circuit assemblies
- Design and layout multilayer PCBs
- Work closely with partners to review designs, provide technical guidance, and ensure alignment with system requirements
- Drive design for manufacturability (DFM), design for assembly (DFA), and design for testability (DFT)
- Support server subsystem integration
- Participate in design reviews
- Support prototype builds, board bring-up, debugging, and validation
- Track and resolve design issues, including root cause analysis and corrective actions
- Ensure proper documentation, revision control, and engineering change management (ECO/ECN processes)
Requirements:
- Bachelor’s degree in electrical engineering
- 2–4 years of experience in schematic capture and PCB design
- Proficiency with PCB design and schematic tools
- Strong understanding of analog and digital circuit design fundamentals
- Experience with multilayer PCB layout
- Experience with lab equipment (oscilloscope, multimeter, logic analyzer)
Differentiators:
- Experience with server platforms or data center hardware
- Knowledge of power delivery network (PDN) design for high-power systems
- Familiarity with signal integrity and power integrity analysis tools
- Experience with compliance and validation (EMI/EMC, safety, regulatory)
- Exposure to global manufacturing environments and supply chain coordination
- Familiarity with PLM systems and change management workflows
We welcome people of different backgrounds and experiences and are committed to building an inclusive work environment that makes Graphcore a great home for everyone. We are an equal opportunity employer and want to build a work environment where everyone is happy, productive and respectful so they can do their best work. If you have a disability or additional need that requires accommodation, just let us know.
Ready to apply?
Apply to Graphcore
Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond.
We operate at the cutting edge of embodied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better.
JOB SUMMARY
We are seeking an early-career Simulation Engineer to join our growing Simulation team as a generalist contributor. This is an opportunity to learn humanoid simulation across its full breadth — from physics and contact modeling through scene authoring, asset pipelines, and developer tooling — while contributing to multiple ongoing initiatives at once.
You will work across several of the team's focus areas, with near-term emphasis on supporting our dexterous-hand simulation work. As we hire a senior owner for the Dexterity domain, you will help build the foundational infrastructure they will grow into, and over time develop depth in the area where your interests and the team's needs align best.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
- Dexterity Foundations: Build and maintain hand collision geometry (primitive decomposition, mesh cleanup). Author evaluation scenes and dexterity benchmarks in Isaac Lab / Isaac Sim from specifications. Run sim-to-real comparison experiments and produce comparison reports.
- Design-Time Simulation: Contribute to the CAD-to-simulation pipeline — kinematic graph extraction, collision geometry, mass and inertia property handling. Run design-space exploration experiments per protocols defined by senior team members.
- Robot Description & Asset Pipeline: Help maintain canonical robot models — joint limits, inertias, collision properties. Build and maintain regression tests and validation tooling for the robot assets the rest of the org depends on.
- Production Platform Contributions: Contribute to the simulation platform's tooling, examples, CI infrastructure, and developer documentation. Triage user-reported issues and help unblock other teams using the platform.
- Team Contributions: Own onboarding docs and example scenes that help new engineers get productive on the platform — your perspective as the newest team member is a real asset here.
SKILLS AND REQUIREMENTS:
Must-Have
- 0–2 years of professional software engineering experience (strong internship or research project experience qualifies)
- Strong Python skills
- Solid fundamentals: rigid body dynamics, linear algebra, spatial math, programming
- Coursework or project experience with robotics simulation, computational geometry, or computer graphics
- Demonstrated curiosity and willingness to work across multiple domains rather than specializing immediately
Nice-to-Have
- Hands-on experience with Isaac Sim, MuJoCo, Gazebo, or equivalent simulator (coursework or projects count)
- Familiarity with USD, URDF, MJCF, or other robot/scene description formats
- Exposure to mechanical engineering, robot hardware, or sim-to-real workflows
- Some C++ exposure
- Internship or research experience in robotics, gaming, or graphics
EDUCATION and/or EXPERIENCE:
- BS in Computer Science, Robotics, Mechanical Engineering, or related field. MS welcome but not
PHYSICAL REQUIREMENTS
- Prolonged periods of sitting at a desk and working on a computer
- Must be able to lift 15 pounds at times
- Vision to read printed materials and a computer screen
- Hearing and speech to communicate
*This is a direct hire. Please, no outside Agency solicitations.
Apptronik provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Ready to apply?
Apply to Apptronik
Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond.
We operate at the cutting edge of embodied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better.
JOB SUMMARY
We are seeking a Staff Simulation Engineer to be the sole owner of dexterous hand simulation at Apptronik.
This is a high-autonomy, high-impact individual contributor role. You will define how hands are represented in simulation — from contact geometry and physics fidelity all the way through sim-to-real validation — and you will be the authoritative technical voice across Mechanical Design, Controls, and Hardware whenever simulation of the hand is in scope. There is no team beneath you, but your work directly unblocks multiple teams.
Core mandate: make simulation a reliable predictor of physical hand behavior, and own that standard end-to-end.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Contact Dynamics & Physics Fidelity: Own the accuracy of contact simulation for high-DOF robotic hands. Model and tune contact parameters — stiffness, damping, friction, restitution — against real hardware measurements. Develop and maintain hand-specific collision geometry (primitive decomposition, mesh optimization) to ensure simulation contact behavior matches physical interaction.
Sim-to-Real Validation: Design and execute systematic sim-to-real validation workflows. Run side-by-side comparisons of grasping stability, fingertip contact forces, and joint behavior between simulation and hardware. Drive iterative parameter calibration using real sensor data — encoders, F/T sensors, tactile arrays — until simulation predictions are quantifiably reliable
Sensor & Actuator Modeling: Build accurate models of the hand's sensing and actuation systems within simulation — including tactile sensor response, actuator dynamics (compliance, backlash), and encoder noise characteristics.
Evaluation Scene Construction: Design and implement evaluation environments and dexterity benchmarks in Isaac Lab / Isaac Sim. Own the physical property modeling — contact materials, object mass/inertia, surface textures — required for high-fidelity task simulation.
Asset Pipeline: Contribute to CAD-to-USD conversion workflows as needed — collision mesh generation, joint limit extraction, kinematic parameter import. This is infrastructure support, not a primary focus.
SKILLS AND REQUIREMENTS
Must-Have
- 4+ years of hands-on robotic simulation experience (Senior); 7+ years (Staff)
- Experience with robotic hands or high-DOF manipulators
- Demonstrated experience with contact-rich simulation — not just kinematics and trajectory playback
- Experience with physics parameter identification (sysid) or domain randomization pipelines
- Proven ability to operate as a domain owner: setting technical direction, making independent architectural decisions, and driving cross-functional alignment through expertise
- Strong Python skills; C++ a plus
- Solid fundamentals: rigid body dynamics, contact mechanics, collision geometry, spatial math
- Hardware-grounded: experience running sim-to-real comparisons with real sensor data
Nice-to-Have
- Deep working knowledge of Isaac Sim, MuJoCo, or equivalent modern robotics simulator
- Familiarity with tactile sensing or F/T sensor integration in simulation
- USD proficiency: composition arcs, layers, stages
- Background in teleoperation or motion retargeting
EDUCATION and/or EXPERIENCE
- MS or PhD in Robotics, Computer Science, Mechanical Engineering, or related fields.
PHYSICAL REQUIREMENTS
Prolonged periods of sitting at a desk and working on a computer
Must be able to lift 15 pounds at times
Vision to read printed materials and a computer screen
Hearing and speech to communicate
*This is a direct hire. Please, no outside Agency solicitations.
Apptronik provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Ready to apply?
Apply to Apptronik
Embedded Software Engineer, Implant Embedded Systems
About Neuralink:
We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
Team Description:
Join the Brain Interfaces Embedded Systems Team and be part of an elite team of engineers working on high-performance, safety-critical embedded systems for the next-generation brain-computer interfaces. You will have the opportunity to work closely with chip designers, electrical engineers, and software engineers on a small, fast-moving team.
Job Description and Responsibilities:
We are looking for experienced, hands-on engineers who are interested in exploring what's possible in highly powered and latency-constrained environments. Firmware is the kernel of operation for the implant, and you have the chance to define and implement features that have a significant impact on the product’s capabilities. As an Embedded Software Engineer, you will be expected to:
- Own complex challenges from definition to solution
- Utilize your ability to work cross functionally to deliver safety critical systems while considering power, radio, and thermal requirements
- Take ownership of products and/or core features; from planning and design to execution and testing
- Build on your fundamental understanding of hardware while contributing to bare-metal firmware
- Embrace a fast-paced iterative environment that prioritizes shipping manufacturable solutions
Note: The team is hiring embedded engineers at all levels, both junior and senior. What matters most is evidence of exceptional abilities and a drive to succeed.
Required Qualifications:
- Bachelor’s degree in computer science, electrical engineering, related field, or equivalent experience
- 1+ years of experience with embedded systems (including internships)
- Proficient in embedded C or Rust
- Ability to design bare-metal embedded systems in highly constrained environments
- Strong Electrical Engineering fundamentals
- Signal processing fundamentals
- You find enormous challenges exciting and enjoy discovering and defining problems as much as solving them
- You deliver. You may enjoy thoughtful conversations about problems and perfecting design, but in the end, you know that delivering reliable manufacturable solutions matters
- You are a cross-disciplinary team member. You are excited to work with and learn from chip designers to neuroscientists
Preferred Qualifications:
- Experience with embedded stacks for ARM cores
- Experience with safety-critical systems
- Experience with FPGA development and testing
- Experience with RF, BLE, TCP/IP stacks from a practical embedded perspective
- Prior work or experience with applied cryptography and embedded systems security
Expected Compensation:
The anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training. We also believe in aligning our employees’ success with the company's long-term growth. As such, in addition to base salary, Neuralink offers equity compensation (in the form of Restricted Stock Units (RSU)) for all full-time employees.
What We Offer:
Full-time employees are eligible for the following benefits listed below.
- An opportunity to change the world and work with some of the smartest and most talented experts from different fields
- Growth potential; we rapidly advance team members who have an outsized impact
- Excellent medical, dental, and vision insurance through a PPO plan
- Paid holidays
- Commuter benefits
- Meals provided
- Equity (RSUs) *Temporary Employees & Interns excluded
- 401(k) plan *Interns initially excluded until they work 1,000 hours
- Parental leave *Temporary Employees & Interns excluded
- Flexible time off *Temporary Employees & Interns excluded
Ready to apply?
Apply to Neuralink
About Neuralink:
We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
Team Description:
The Brain Interfaces Soc Department delivers chip architecture and silicon implementation of neural recording and stimulation system-on-chip (SoC) for high-bandwidth brain-computer interfaces. We have crafted a team of exceptional engineers whose mission is to push the frontiers of what is possible today and define the future.
Job Description and Responsibilities:
We are looking for experienced and hands-on engineers with a creative and initiative mindset, who are interested in exploring the next-generation chip design with advanced architectures and hardware accelerators with a goal of enhancing the energy efficiency, information entropy, and scalability of our wireless brain-computer interfaces towards the physical limit of silicon technology. The ideal candidates are energetic people who get excited about building things, are highly analytical, and enjoy tackling new problems. You will have the opportunity to collaborate closely with chip designers, electrical engineers, algorithms engineers, and software engineers on a small, agile team. As a Digital IC Design Engineer Intern, your responsibilities will include:
- Micro-architecture design and RTL implementation of:
- Low-power digital signal processors
- Low-power general-purpose hardware accelerators
- Low-power graphics processing units
- Low-power radio MAC/PHY
- Low-power serial link MAC/PHY
- Design and implementation of hardware/software interface with firmware engineers
- Application-specific architecture optimization including:
- Complex system modeling for energy and performance benchmarks
- Workload analysis and modeling
- Leveraging architecture-level design trade-offs with process technology and workload type
- Balancing energy efficiency and performance under manufacturing process variation
- Complex system-on-chip verification
- Behavioral level modeling and model equivalence check
- FPGA emulation
- Analog mixed-signal co-simulation
- Design for testability
- Collaboration on silicon bring-up tests with silicon validation engineers
Required Qualifications:
- Evidence of exceptional ability in electrical engineering, computer science, or computer engineering
- 2+ years of experience in digital design
- Proficient in SystemVerilog, C/C++, Python
- Experience working on complex digital systems from architecture, microarchitecture, and RTL, using industry standard tools
- Experience in designing digital signal processing pipelines, from algorithm to RTL
Preferred Qualifications:
- Experience in architecture optimization with process technology customization
- Experience in the verification of complex digital systems, using industry standard tools
- Experience in the physical design of complex digital systems, using industry standard tools
- Experience testing and debugging digital system-on-a-chips
- Functional modeling experience and logic verification with SystemVerilog, SystemC/C++, or UVM
- Experience automating tool flows
- Experience with embedded design
- Experience in processor instruction set architecture design
- Experience in compiler back-end design and customization
- Experience designing PCBs or writing firmware.
Expected Compensation:
The anticipated hourly rate for this position is listed below.
California Hourly Flat Rate:
$35/Hr USD
What We Offer:
Full-time employees are eligible for the following benefits listed below.
- An opportunity to change the world and work with some of the smartest and most talented experts from different fields
- Growth potential; we rapidly advance team members who have an outsized impact
- Excellent medical, dental, and vision insurance through a PPO plan
- Paid holidays
- Commuter benefits
- Meals provided
- Equity (RSUs) *Temporary Employees & Interns excluded
- 401(k) plan *Interns initially excluded until they work 1,000 hours
- Parental leave *Temporary Employees & Interns excluded
- Flexible time off *Temporary Employees & Interns excluded
Ready to apply?
Apply to Neuralink
Electrical Engineer Intern, Implant Embedded Systems
About Neuralink:
We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
Team Description:
We build the electrical systems that make high-bandwidth brain–computer interfaces possible. This includes neural signal acquisition and stimulation to wireless power delivery, embedded processing, and system integration—all within devices small enough to be implanted in the human body and efficient enough to operate under strict thermal and power constraints. Our work sits at the intersection of analog, RF, digital, and biological systems. Many problems in this space do not present clean abstractions or clear failure modes. Success often depends on careful measurement, iteration, and engineering judgment across multiple interacting systems.
Job Description and Responsibilities:
We are looking for an experienced, hands-on electrical engineer for implant electronics board design, integration with our custom chips, testing, and quality control. You will have the opportunity to contribute to advanced projects, not only work on incremental changes, and be an integral member of a small, fast-moving team. You will be working on all phases of board design (part selection, schematic design, layout, and bring-up) as well as collaborating closely with chip designers, firmware engineers, mechanical engineers, and microfabrication experts for system integration.
- Utilize electrical engineering fundamentals and best system design practices to build on your ability to deliver high-performant, reliable, and manufacturable extremely size-constraint systems
- Gain understanding of all phases of system and board design, from system definition to part selection, schematic design, layout, bring up, and design verification
- Contribute to R&D investigations and experiments to demonstrate feasibility of new technology for the implant and the charger
- Gain experience working cross functionally to ensure successful systems integration
- Contribute to system improvements that decrease latency and increase battery life, reliability, and safety
- Develop ability to design and deploy systems for implant-charger hardware in the loop testing, and manufacturing line quality control
Required Qualifications:
- Strong EE fundamentals
- Experience designing PCBs for low power and size constrained applications
- Experience with PCB CAD tools (Altium, Eagle, KiCad, Allegro)
- Experience with sensors, power management, and signal/power integrity
- Comfortable with common communication protocols (SPI, UART, I2C, etc.)
- Comfortable with lab equipment (oscilloscope, VNA, etc.)
- Basic C and Python programming skills
Preferred Qualifications:
- Experience with firmware development for embedded systems (C/C++)
- Experience with wireless systems (BLE, WIFI, Zigbee)
- Experience building and bringing-up MCUs or FPGA
- Proficiency with ME CAD tools (Solidworks, AutoCAD)
- Experience with analog circuit design
Expected Compensation:
The anticipated hourly rate for this position is listed below.
California Hourly Flat Rate:
$35/Hr USD
What We Offer:
Full-time employees are eligible for the following benefits listed below.
- An opportunity to change the world and work with some of the smartest and most talented experts from different fields
- Growth potential; we rapidly advance team members who have an outsized impact
- Excellent medical, dental, and vision insurance through a PPO plan
- Paid holidays
- Commuter benefits
- Meals provided
- Equity (RSUs) *Temporary Employees & Interns excluded
- 401(k) plan *Interns initially excluded until they work 1,000 hours
- Parental leave *Temporary Employees & Interns excluded
- Flexible time off *Temporary Employees & Interns excluded
Ready to apply?
Apply to Neuralink
About Neuralink:
We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
Team Description:
The Brain Interfaces Mechanical Engineering team is responsible for the mechanical and manufacturing systems related to our implant, microfabricated thin-film electrodes, wireless charger, and associated accessories. This includes product design, electronics packaging integration, manufacturing line and facility design, test infrastructure design, and related activities for these core products.
Job Description and Responsibilities:
As a Manufacturing Engineer at Neuralink, you will be responsible for the design, development, and optimization of manufacturing processes and hardware from the ground up. This will include maintaining and supporting existing products and processes, troubleshooting failures, implementing updates, and ensuring long-term reliability. You will focus on creating efficient, scalable systems for producing brain interfaces, emphasizing innovation and quality assurance. Note that that ideal candidate is a mechanical engineer who loves to focus on manufacturing. Responsibilities will include:
- Scoping projects and requirements, large and small, to hit aggressive project schedules and ensure timely completion from inception to implementation
- Detailed designing of 3D CAD and 2D drawings with a heavy focus on DFX, and integration onto the manufacturing line
- Rapid prototyping with existing technologies, and developing or sourcing expanded capabilities
- Identifying key vendors and developing/maintaining relationships to expand our capabilities
- Developing, maintaining, and executing test plans and electro-mechanical test systems for verification and validation of products ranging from components to sub-assemblies, full consumer electronics products, or production environments
- Identifying and tackling manufacturing rate limiters and yield hitters
- Working with data acquisition systems and control systems to continually improve in-test and in-process data recording and system useability
- Providing insight into the design of tooling and equipment from development to full-volume production including poka-yoke, controls, and standardization of componentry
- Developing requirements for, sourcing, and pitching major equipment purchases to expand manufacturing and test capabilities; becoming the subject matter expert for this equipment and training other engineers and technicians
- Developing knowledge of and implementing compliance with relevant federal regulations (e.g., GxP, 21 CFR) as they pertain to medical device design and manufacturing
- Writing and maintaining design and manufacturing documentation for internal reference and submission to regulatory bodies
Required Qualifications:
- Bachelor’s Degree in Mechanical Engineering or related field, or equivalent experience and ability
- 3+ years of mechanical engineering industry experience
- Strong grasp of engineering's first principles
- Experience with DFX, conventional machining, rapid prototyping technologies, and precision design + manufacturing
- Proficiency in CAD (SolidWorks preferred)
Preferred Qualifications:
- Experience in the design and manufacturing of implantable electromechanical medical devices
- Knowledge of ISO 13485, ISO 10993, 21 CFR, and related standards
- Experience scaling complex low to mid-volume production lines
Expected Compensation:
The anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training. We also believe in aligning our employees’ success with the company's long-term growth. As such, in addition to base salary, Neuralink offers equity compensation (in the form of Restricted Stock Units (RSU)) for all full-time employees.
What We Offer:
Full-time employees are eligible for the following benefits listed below.
- An opportunity to change the world and work with some of the smartest and most talented experts from different fields
- Growth potential; we rapidly advance team members who have an outsized impact
- Excellent medical, dental, and vision insurance through a PPO plan
- Paid holidays
- Commuter benefits
- Meals provided
- Equity (RSUs) *Temporary Employees & Interns excluded
- 401(k) plan *Interns initially excluded until they work 1,000 hours
- Parental leave *Temporary Employees & Interns excluded
- Flexible time off *Temporary Employees & Interns excluded
Ready to apply?
Apply to Neuralink
Embedded Software Engineer Intern, Implant Embedded Systems
About Neuralink:
We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
Team Description:
The Brain Interfaces Embedded Systems Team, a division of the Brain Interfaces Hardware Department, owns the development of high-performance, safety-critical embedded systems for the next-generation of brain-computer interfaces. As a key member of our team, you will gain hands-on training, work alongside accomplished mentors, and contribute to real-world projects.
Job Description and Responsibilities:
We are looking for experienced, hands-on engineers who are interested in exploring what's possible in highly powered and latency-constrained environments. Firmware is the kernel of operation for the implant and you have the chance to determine and implement features that have a massive impact on the product’s capabilities. You will have the opportunity to collaborate closely with chip designers, electrical engineers, algorithms engineers, and software engineers on a small, agile team. The job responsibilities will include:
- Building on your ability to work cross functionally, working with engineers who deliver safety-critical systems while considering power, radio, and thermal requirements
- Gaining an understanding of delivering products and/or core features from planning and design to execution and testing
- Growing your fundamental understanding of hardware while contributing to bare-metal firmware in C
- Contributing to codebase organization, prioritizing modular formats that allow for elegant hardware bifurcation in the field
- Developing the ability to contribute to system improvements that decrease latency and increase battery life, reliability, and safety
Required Qualifications:
- 2+ years of experience with embedded systems
- Proficient in C/C++, and Python
- Knowledge of MCU architectures, peripherals, and development environments
- Comfortable reading electrical schematics and datasheets
- Deep knowledge of the embedded toolchains and workflow
- Strong EE & DSP fundamentals
- HW/SW debugging skills with lab equipment
Preferred Qualifications:
- Experience with embedded stacks for ARM cores
- Experience with safety-critical systems
- Experience with FPGA development and testing
- Experience with RF, BLE, and TCP/IP stacks from a practical embedded perspective
- Prior work or experience with applied cryptography and embedded systems security
Expected Compensation:
The anticipated hourly rate for this position is listed below.
California Hourly Flat Rate:
$35/Hr USD
What We Offer:
Full-time employees are eligible for the following benefits listed below.
- An opportunity to change the world and work with some of the smartest and most talented experts from different fields
- Growth potential; we rapidly advance team members who have an outsized impact
- Excellent medical, dental, and vision insurance through a PPO plan
- Paid holidays
- Commuter benefits
- Meals provided
- Equity (RSUs) *Temporary Employees & Interns excluded
- 401(k) plan *Interns initially excluded until they work 1,000 hours
- Parental leave *Temporary Employees & Interns excluded
- Flexible time off *Temporary Employees & Interns excluded
Ready to apply?
Apply to Neuralink
About Neuralink:
We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
Team Description:
The Surgery Engineering team is responsible for developing and managing custom hardware and processes for neurosurgical procedures, excluding the R1 Robot and Operator Station. Their responsibilities encompass the entire surgical process, including patient positioning, incision, craniectomy, precise implant placement, robotic thread insertion success, surgical site irrigation, implant installation, and closure. Additionally, the team ensures safe explantation and upgrade procedures for implants. They also provide mechanical engineering support to the animal care, histology, and BCI teams, contributing to the success of complex neurosurgical procedures and related research activities.
Job Description and Responsibilities:
You will design hardware and processes for use in human neurosurgery. Responsibilities include:
- Design ownership from clean sheet through production
- Verification and validation testing
- Root cause analysis and implementation of corrective actions
- Surgical process optimization
- Technical writing for regulatory approval
Required Qualifications:
- Bachelor's Degree in Mechanical Engineering or equivalent experience
- 3-10 years of mechanical design experience, including internships
Preferred Qualifications:
- Master's Degree in Mechanical Engineering
- Class III Medical Device experience or familiarity with operating rooms
- Machining experience
- Industrial engineering experience
- Industrial design experience
Additional Requirements and Competencies:
- Some work-related travel will be required
Expected Compensation:
The anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training. We also believe in aligning our employees’ success with the company's long-term growth. As such, in addition to base salary, Neuralink offers equity compensation (in the form of Restricted Stock Units (RSU)) for all full-time employees.
What We Offer:
Full-time employees are eligible for the following benefits listed below.
- An opportunity to change the world and work with some of the smartest and most talented experts from different fields
- Growth potential; we rapidly advance team members who have an outsized impact
- Excellent medical, dental, and vision insurance through a PPO plan
- Paid holidays
- Commuter benefits
- Meals provided
- Equity (RSUs) *Temporary Employees & Interns excluded
- 401(k) plan *Interns initially excluded until they work 1,000 hours
- Parental leave *Temporary Employees & Interns excluded
- Flexible time off *Temporary Employees & Interns excluded
Ready to apply?
Apply to Neuralink
Digital IC Design Engineer
About Neuralink:
We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
Team Description:
The Brain Interfaces Soc Department delivers chip architecture and silicon implementation of neural recording and stimulation system-on-chip (SoC) for high-bandwidth brain-machine interface applications. We have crafted a team of exceptional engineers whose mission is to push the frontiers of what is possible today and define the future.
Job Description & Responsibilities:
Our Digital IC Design Engineer will be responsible for delivering micro-architecture and register-transfer level (RTL) implementation of digital IPs and systems with a focus in high-throughput low-power digital signal processor (DSP) and general-purpose hardware accelerators towards realizing state-of-the-art brain-computer interfaces. Relevant product development experience in micro-architecture design for low-power processors, on-chip bus and network interfaces, audio/video compression processors, AI/ML accelerators, and communication PHY/MAC will be preferred.
- Micro-architecture design and RTL implementation of:
- Low-power digital signal processors
- Low-power general-purpose hardware accelerators
- Low-power graphics processing units
- Low-power radio MAC/PHY
- Low-power serial link MAC/PHY
- Design and optimization of hardware/software interface with firmware engineers
- Application-specific architecture optimization including:
- Complex system modeling for energy and performance benchmarks
- Workload analysis and modeling
- Energy/performance profiling and analysis
- Leveraging architecture-level design trade-offs with process technology and workload type
- Balancing cost and performance under manufacturing process variation
- Collaboration on silicon bring-up tests with verification engineers
Required Qualifications:
- Bachelor of Science (B.S.) degree in Electrical Engineering and/or Computer Science or a related field, or equivalent experience
- Evidence of exceptional ability in electrical engineering, computer science, or computer engineering
- 5+ years of experience in digital design
- Expertise in SystemVerilog, C/C++, Python
- Experience working on complex digital systems from architecture, microarchitecture, and RTL, using industry standard tools
- Experience in designing digital signal processing pipelines, from algorithm to RTL
Preferred Qualifications:
- Experience in architecture optimization with process technology customization
- Experience in the verification of complex digital systems, using industry standard tools
- Experience in the physical design of complex digital systems, using industry standard tools
- Experience testing and debugging digital system-on-a-chips
- Functional modeling experience and logic verification with SystemVerilog, SystemC/C++
- Experience automating tool flows
- Experience with embedded design
- Experience in processor instruction set architecture design
- Experience in compiler back-end design and customization
Expected Compensation:
The anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training. We also believe in aligning our employees’ success with the company's long-term growth. As such, in addition to base salary, Neuralink offers equity compensation (in the form of Restricted Stock Units (RSU)) for all full-time employees.
What We Offer:
Full-time employees are eligible for the following benefits listed below.
- An opportunity to change the world and work with some of the smartest and most talented experts from different fields
- Growth potential; we rapidly advance team members who have an outsized impact
- Excellent medical, dental, and vision insurance through a PPO plan
- Paid holidays
- Commuter benefits
- Meals provided
- Equity (RSUs) *Temporary Employees & Interns excluded
- 401(k) plan *Interns initially excluded until they work 1,000 hours
- Parental leave *Temporary Employees & Interns excluded
- Flexible time off *Temporary Employees & Interns excluded
Ready to apply?
Apply to Neuralink
Software Engineer Intern, Robotics
About Neuralink:
We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
Team Description:
The Robot Software Team builds software that enables scalable neurosurgery that allows safe implantation of the N1 device, ranging from core control, sensors and perception, autonomy, surgery analytics, and more. This role tightly integrates with the robot hardware team, surgery engineering team, as well as the BCI applications team which rely on us to deliver safe and effective implantation of the N1 device.
Neuralink strives to be a meritocratic environment: we require honest and transparent communication to ensure the best ideas win out, and we believe the best solutions emerge and the best teams are created when you assemble high-performing individuals and allow them to engage in rigorous and thoughtful inquiry. We want to work with exceptional people, and, to the extent that you excel, we want you to take on more responsibility and help all of us succeed. If this speaks to you, come join us.
Job Description and Responsibilities:
As a Software Engineer Intern on the Robot Software Team, you will be responsible for writing software and making sure your code works on an actual surgical robot, not just simulation. Our robotics integrate actuated devices with microelectromechanical systems as well as novel surgical procedures. These applications place strong emphasis on high-precision, high-repeatability mechanical motion, as well as high reliability and fail-safe design. You will be expected to:
- Develop safety-critical software for the robot; you are responsible for contributing directly to surgery-ready software as an intern
- Take ownership of a project that is integral to robot functioning from design to implementation under the guidance of a robot software team member
- Jump on problems when they arise with a strong bias for action to support robot operation by non-software teams
- Work across different engineering disciplines; your software may involve interactions with the mechanical, electrical, biological, and neuroscience teams
Required Qualifications:
- Evidence of exceptional ability in engineering or computer science
- Experience in writing performant applications in a system language like C, C++, and Rust
- Ability to work on mission-critical and safety-critical systems
- Strong bias for action and first principles thinking
Preferred Qualifications:
- Hands-on experience with robotics or high-reliability systems
- Experience coding in Linux and debugging on Linux systems
- Experience in computer vision
- Experience in kinematics and motion planning
- Experience working on medical robots
- Experience working in a high-precision environment
Pay Transparency:
Based on California law, the following details are for California individuals only:
California Hourly Rate:
$35/hr USD
What We Offer:
Full-time employees are eligible for the following benefits listed below.
- An opportunity to change the world and work with some of the smartest and most talented experts from different fields
- Growth potential; we rapidly advance team members who have an outsized impact
- Excellent medical, dental, and vision insurance through a PPO plan
- Paid holidays
- Commuter benefits
- Meals provided
- Equity (RSUs) *Temporary Employees & Interns excluded
- 401(k) plan *Interns initially excluded until they work 1,000 hours
- Parental leave *Temporary Employees & Interns excluded
- Flexible time off *Temporary Employees & Interns excluded
Ready to apply?
Apply to Neuralink
Signal Processing Engineer
About Neuralink:
We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
Job Summary
We are seeking a talented Signal Processing Engineer to design, develop, and optimize advanced digital signal processing (DSP) algorithms for on-chip and embedded implementation. In this role, you will create efficient, hardware-friendly algorithms that run directly on custom SoCs, enabling real-time processing with constraints on power, latency, area, and throughput. You will collaborate closely with the SoC, Firmware, and Machine Learning teams to translate high-level signal processing needs into production-ready solutions.
Key Responsibilities
- Design and develop signal processing algorithms for sensing neural activity in the cortex (e.g. spike detection), monitoring cortical electrode health, and more.
- Design and develop numerical algorithms, such as custom data compression to increase radio throughput.
- Develop fixed-point or quantized versions of algorithms optimized for constrained hardware.
- Implement and verify algorithms in high-level languages and transition them to hardware-friendly representations.
- Perform algorithm-to-architecture mapping: analyze trade-offs between accuracy, latency, power, and resource utilization on the SoCs.
- Collaborate with the digital design team to define micro-architectures for custom on-chip processing pipelines, including dataflow, pipelining, and parallelization.
Required Qualifications
- Education: BS, MS or PhD in Electrical Engineering, Computer Engineering, Signal Processing, or a related field.
- Experience: 3+ years in digital signal processing algorithm development or real-world products, with a focus on embedded or hardware-constrained implementations.
- Fluent in signal processing fundamentals (both analog and digital) and strong numerical capabilities.
- Familiarity with fixed-point arithmetic, quantization effects, and numerical precision trade-offs.
- Proficiency in Python and C for algorithm prototyping and simulation.
Preferred Qualifications
- Hands-on experience with Verilog/VHDL, or transitioning algorithms to RTL.
- Experience with dedicated DSP cores or accelerators.
- Track record of optimizing for power/area/latency in resource-constrained environments.
Expected Compensation:
The anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training. We also believe in aligning our employees’ success with the company's long-term growth. As such, in addition to base salary, Neuralink offers equity compensation (in the form of Restricted Stock Units (RSU)) for all full-time employees.
Base Salary Range:
$121,000 - $230,500
What We Offer:
Full-time employees are eligible for the following benefits listed below.
- An opportunity to change the world and work with some of the smartest and most talented experts from different fields
- Growth potential; we rapidly advance team members who have an outsized impact
- Excellent medical, dental, and vision insurance through a PPO plan
- Paid holidays
- Commuter benefits
- Meals provided
- Equity (RSUs) *Temporary Employees & Interns excluded
- 401(k) plan *Interns initially excluded until they work 1,000 hours
- Parental leave *Temporary Employees & Interns excluded
- Flexible time off *Temporary Employees & Interns excluded
Ready to apply?
Apply to Neuralink
Firmware Engineer, Robotics and Surgery Engineering
About Neuralink:
We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
Team Description:
At Neuralink, we're engineering the future of automated surgeries, focusing on the safe and effective implantation of our groundbreaking Neuralink implant. Our team — a cross-functional mix of roboticists, engineers from various disciplines, and medical professionals — collaborates on developing a surgical flow from first principles. In this critical role, you'll straddle the cutting-edge worlds of robotics, software, and neuroscience.
Job Description and Responsibilities:
This is a new and foundational role for our team that will allow you to create new embedded systems from scratch while challenging and refining the old. As a Firmware Engineer, your responsibilities will encompass:
- Developing and optimizing embedded software for robotic surgery applications
- Streamlining our codebase by refining and, when necessary, retiring legacy embedded software
- Rigorous testing and validation of software systems to meet the highest safety and reliability standards
- Participating in peer code reviews
- Writing drivers and applications to extend the functionality of our robotics
- Specifying hardware and software choices as we develop future hardware platforms
- Sharing your findings and progress with the team in a collaborative environment
Required Qualifications:
- Demonstrated track record of success in a science or engineering field, evidenced by outstanding projects, innovations, or advanced problem-solving
- Proven experience in software development, preferably with exposure to embedded systems
Preferred Qualifications:
Embedded Software Development:
- 2+ years of experience with embedded systems
- Proficient with common communication protocols (SPI, UART, I2C, etc.)
- Comfortable/working knowledge of more advanced protocols such as PCIe, MIPI CSI/DSI, USB, and 802.3
- Proficient in at least one embedded language such as C, C++, or Rust
- Proficient with embedded toolchains and workflow
- Experience building and bringing-up MCUs or FPGAs
- Experience with embedded stacks for ARM cores
- Experience developing on embedded Linux platforms
- Experience with embedded Linux kernel configuration and device tree setup
- Experience with kernel driver development
- Experience with ARM bootloaders
- Experience coding drivers for actuators and sensors
- Experience with high speed data acquisition and processing
Electrical Engineering:
- Foundational understanding of MCU architectures and peripheral integration
- Solid knowledge in electrical engineering and DSP
- Ability to interpret electrical schematics and datasheets, along with proficiency in using lab equipment
Expected Compensation:
The anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training. We also believe in aligning our employees’ success with the company's long-term growth. As such, in addition to base salary, Neuralink offers equity compensation (in the form of Restricted Stock Units (RSU)) for all full-time employees.
What We Offer:
Full-time employees are eligible for the following benefits listed below.
- An opportunity to change the world and work with some of the smartest and most talented experts from different fields
- Growth potential; we rapidly advance team members who have an outsized impact
- Excellent medical, dental, and vision insurance through a PPO plan
- Paid holidays
- Commuter benefits
- Meals provided
- Equity (RSUs) *Temporary Employees & Interns excluded
- 401(k) plan *Interns initially excluded until they work 1,000 hours
- Parental leave *Temporary Employees & Interns excluded
- Flexible time off *Temporary Employees & Interns excluded
Ready to apply?
Apply to Neuralink
Optical Engineer
About Neuralink:
We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
Team Description:
The Robot Optics Team is seeking Optical Engineers passionate about shaping the future of operating rooms. We are responsible for all optical engineering aspects of Neuralink surgeries, which includes working on our surgical robotics, supporting operating room equipment, and manufacturing custom consumables. The core device we work on is the robotic system that performs implant insertions. Key subsystems include 2D and 3D machine vision cameras, optical coherence tomography, and surgical site illuminators.
Our team oversees the entire product lifecycle of all optical subsystems across multiple robot versions, from ideation and design through production, testing, and maintenance. We also design hardware for producing and inspecting consumables, such as laser-machined needle cartridges. As we manufacture a significant portion of our hardware in-house, our core activities include bring-up testing, designing hardware acceptance testers, and overseeing manufacturing processes.
Job Description and Responsibilities:
As an Optical Engineer at Neuralink, you will develop custom optics and imaging systems used directly in our surgical robot and associated consumables-manufacturing systems. These systems impact everything from sub-micron conventional imaging and laser scanning imaging to non-imaging optical power delivery. You will have the opportunity to work closely with mechanical, electrical, and software engineers on the Robotics Team and collaborate with neuroscientists and biologists in the rest of the company. You will be responsible for designs from conception through to implementation as well as prototyping and building these optical systems quickly with the rest of the team. Other job responsibilities will include:
- Designing and simulating optical imaging systems
- Testing, verification, and maintenance of robot vision systems
- Designing and developing custom laser interferometry systems and manufacturing systems
- Testing and verification of optics consumables
- Building and testing of beam-scanning instruments
- Developing image acquisition and processing software
- Researching and developing new imaging technologies for robotic surgeries
- Preparing relevant documentation and SOPs for robot optics
Required Qualifications:
- Evidence of exceptional ability in optical engineering or a related field
- Bachelor of Science or higher-level degree in Physics, Optical Engineering, or Mechanical Engineering
- 3+ years of optical engineering experience
- 2+ years of experience simulating and designing optics in Zemax or equivalent software
- Practical experience in designing, testing, and reliability hardening optical systems
- Basic computer skills and proficiency in Google Docs, Google Drive, and Gmail
Preferred Qualifications:
- Experience in designing and testing of in-vivo imaging systems
- Experience in handling high power laser instruments
- Basic understanding in laser interferometry or optical coherence tomography
- Hands-on experience in fabricating, terminating, and splicing optical fibers
- Software engineering experience in developing scripts for instrument testing
Expected Compensation:
The anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training. We also believe in aligning our employees’ success with the company's long-term growth. As such, in addition to base salary, Neuralink offers equity compensation (in the form of Restricted Stock Units (RSU)) for all full-time employees.
What We Offer:
Full-time employees are eligible for the following benefits listed below.
- An opportunity to change the world and work with some of the smartest and most talented experts from different fields
- Growth potential; we rapidly advance team members who have an outsized impact
- Excellent medical, dental, and vision insurance through a PPO plan
- Paid holidays
- Commuter benefits
- Meals provided
- Equity (RSUs) *Temporary Employees & Interns excluded
- 401(k) plan *Interns initially excluded until they work 1,000 hours
- Parental leave *Temporary Employees & Interns excluded
- Flexible time off *Temporary Employees & Interns excluded
Ready to apply?
Apply to Neuralink
About Neuralink:
We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
Team Description:
As part of the Surgery & Robot Hardware Department, the Surgical Consumables Team is responsible for producing a wide range of critical mechanical devices that enable our life-changing surgical procedures. Balancing immediate needs with long-term scalability, we drive innovation with precisely engineered tools that ensure safety, reliability, and high-quality surgical execution.
Job Description and Responsibilities:
We’re looking for a Manufacturing Engineer to help scale the manufacturing of consumables used in our robotic surgeries. These consumables include the Needle Cartridge (the end effector that inserts electrodes into the cortex) as well as other complex mechanical assemblies and surgical proxies, like the one being assembled here.
In this role, you will help expand our team’s capabilities by supporting the build-out of a new manufacturing site in Texas while sustaining production at existing sites. You’ll work hands-on to troubleshoot manufacturing issues, analyze data, improve processes, and design fixtures. You will collaborate closely with hardware designers, machinists, quality engineers, and the surgery team to ensure parts are built correctly, released on time, and delivered where they’re needed.
You will contribute to technical solutions for complex manufacturing problems and help design processes that scale as production ramps. This role is well suited to someone who enjoys working closely with hardware, learning how products move from development to production, and operating in a fast-paced environment. The Manufacturing Engineer will:
- Support day-to-day production to meet consumables demand across the company
- Provide manufacturability input as products move into more mature lifecycle stages
- Design, test, and implement production fixtures, tooling, workstations, and assembly aids
- Troubleshoot manufacturing issues, perform root cause analysis, and implement corrective actions
- Support quality control activities in compliance with Design Control requirements, cGMP, FDA regulations, and internal policies
- Generate and maintain manufacturing documentation, including work instructions, Device Master Records (DMRs), and Design History Files (DHFs)
- Conduct risk assessments and support mitigation efforts to ensure product safety and reliability
- Drive continuous improvement efforts focused on yield, throughput, and process robustness
Required Qualifications:
- Strong interest in manufacturing small, safety-critical assemblies where precision and quality are paramount
- Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Industrial Engineering, Biomedical Engineering, or a related field, or equivalent experience
- 1+ year of experience in manufacturing engineering or engineering design
- Experience in Solidworks (preferred), OnShape, Creo, or an equivalent CAD program
- Demonstrated ability to execute on hardware-focused projects
- Hands-on experience physically building hardware (machining, fabrication, soldering, assembly, prototyping, etc.); personal projects are a plus
- A genuine interest in manufacturing and passion for learning
Preferred Qualifications:
- Experience working in a manufacturing environment
- Familiarity with ISO 13485, FDA 21 CFR Part 820, or other regulated manufacturing standards
Additional Requirements and Competencies:
- This role will initially require frequent travel to Fremont, CA, which is expected to decrease over time
Expected Compensation:
The anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training. We also believe in aligning our employees’ success with the company's long-term growth. As such, in addition to base salary, Neuralink offers equity compensation (in the form of Restricted Stock Units (RSU)) for all full-time employees.
What We Offer:
Full-time employees are eligible for the following benefits listed below.
- An opportunity to change the world and work with some of the smartest and most talented experts from different fields
- Growth potential; we rapidly advance team members who have an outsized impact
- Excellent medical, dental, and vision insurance through a PPO plan
- Paid holidays
- Commuter benefits
- Meals provided
- Equity (RSUs) *Temporary Employees & Interns excluded
- 401(k) plan *Interns initially excluded until they work 1,000 hours
- Parental leave *Temporary Employees & Interns excluded
- Flexible time off *Temporary Employees & Interns excluded
Ready to apply?
Apply to Neuralink
Electrical Engineer, Implant Embedded Systems
About Neuralink:
We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
Team Description:
We build the electrical systems that make high-bandwidth brain–computer interfaces possible. This includes neural signal acquisition and stimulation to wireless power delivery, embedded processing, and system integration—all within devices small enough to be implanted in the human body and efficient enough to operate under strict thermal and power constraints. Our work sits at the intersection of analog, RF, digital, and biological systems. Many problems in this space do not present clean abstractions or clear failure modes. Success often depends on careful measurement, iteration, and engineering judgment across multiple interacting systems.
Job Responsibilities:
- Utilize electrical engineering fundamentals and best system design practices to deliver high-performant, reliable, and manufacturable extremely size-constraint systems
- Contribute to all phases of system and board design, from system definition to part selection, schematic design, layout, bring up, and design verification
- Help conduct R&D investigations and experiments to demonstrate feasibility of new technology for the implant and the charger
- Work cross functionally to ensure successful systems integration
- Contribute to system improvements that decrease latency and increase battery life, reliability, and safety
- Design and deploy systems for implant-charger hardware in the loop testing, and manufacturing line quality control
Note: The team is hiring electrical engineers at all levels, both junior and senior. What matters most is evidence of exceptional abilities and a drive to succeed.
Required Qualifications:
- Bachelor’s degree in Electrical Engineering or equivalent experience
- Strong electrical engineering and physics fundamentals, with demonstrated ability to apply them under real-world constraints (noise, power, size, non-ideal interfaces)
- Proven ability to independently design, bring up, debug, and verify complex PCBAs operating under tight power and size constraints, including mixed-signal circuits, sensitive sensor interfaces, and embedded compute
- Experience debugging systems where issues span multiple domains (analog, digital, RF, power) and root causes are not immediately obvious
- Deep familiarity with lab instrumentation (oscilloscopes, power supplies, spectrum analyzers, VNAs) and the ability to extract meaningful insight from imperfect measurements
Preferred Qualifications:
- Experience shipping highly integrated, size- and power-constrained devices (e.g., wearables, implantables, compact wireless systems)
- Experience with wireless systems and RF design tradeoffs (BLE, Wi-Fi, antenna design, coexistence)
- Experience supporting hardware through manufacturing at scale, including yield, test, and failure analysis
- Experience in safety-critical or regulated environments, where reliability and risk must be explicitly managed
- Familiarity with mechanical integration constraints (CAD tools, packaging, stack-ups)
- Experience with electromagnetic simulation and antenna validation (FEM/FDTD or equivalent)
Expected Compensation:
The anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training. We also believe in aligning our employees’ success with the company's long-term growth. As such, in addition to base salary, Neuralink offers equity compensation (in the form of Restricted Stock Units (RSU)) for all full-time employees.
What We Offer:
Full-time employees are eligible for the following benefits listed below.
- An opportunity to change the world and work with some of the smartest and most talented experts from different fields
- Growth potential; we rapidly advance team members who have an outsized impact
- Excellent medical, dental, and vision insurance through a PPO plan
- Paid holidays
- Commuter benefits
- Meals provided
- Equity (RSUs) *Temporary Employees & Interns excluded
- 401(k) plan *Interns initially excluded until they work 1,000 hours
- Parental leave *Temporary Employees & Interns excluded
- Flexible time off *Temporary Employees & Interns excluded
Ready to apply?
Apply to Neuralink
Hardware/ Software Co-Design Engineer
About Neuralink:
We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
Team Description:
The Brain Interfaces Soc Department delivers chip architecture and silicon implementation of neural recording and stimulation system-on-chip (SoC) for high-bandwidth brain-machine interface applications. We have crafted a team of exceptional engineers whose mission is to push the frontiers of what is possible today and define the future.
Job Description & Responsibilities:
Our Hardware/ Software Co-Design Engineer will be responsible for delivering micro-architecture and register-transfer level (RTL) implementation of digital IPs and systems with a focus in high-throughput low-power digital signal processor (DSP) and general-purpose hardware accelerators towards realizing state-of-the-art brain-computer interfaces. Relevant product development experience in micro-architecture design for low-power processors, on-chip bus and network interfaces, audio/video compression processors, AI/ML accelerators, and communication PHY/MAC will be preferred.
- Micro-architecture design and RTL implementation of:
- Low-power digital signal processors
- Low-power general-purpose hardware accelerators
- Low-power graphics processing units
- Low-power radio MAC/PHY
- Low-power serial link MAC/PHY
- Design and optimization of hardware/software interface with firmware engineers
- Application-specific architecture optimization including:
- Complex system modeling for energy and performance benchmarks
- Workload analysis and modeling
- Energy/performance profiling and analysis
- Leveraging architecture-level design trade-offs with process technology and workload type
- Balancing cost and performance under manufacturing process variation
- Collaboration on silicon bring-up tests with verification engineers
Required Qualifications:
- Bachelor of Science (B.S.) degree in Electrical Engineering and/or Computer Science or a related field, or equivalent experience
- Evidence of exceptional ability in electrical engineering, computer science, or computer engineering
- Experience designing and implementing embedded software in C or Rust
- Expertise in SystemVerilog, C/C++, Python
- Experience designing and implementing emulation models, transactors, and test environments to replicate hardware behavior
- Experience working on complex digital systems from architecture, microarchitecture, and RTL, using industry standard tools
- Experience in designing digital signal processing pipelines, from algorithm to RTL
Preferred Qualifications:
- Experience in architecture optimization with process technology customization
- Experience in the verification of complex digital systems, using industry standard tools
- Experience in the physical design of complex digital systems, using industry standard tools
- Experience testing and debugging digital system-on-a-chips
- Functional modeling experience and logic verification with SystemVerilog, SystemC/C++
- Experience automating tool flows
- Experience in processor instruction set architecture design
- Experience in compiler back-end design and customization
Expected Compensation:
The anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training. We also believe in aligning our employees’ success with the company's long-term growth. As such, in addition to base salary, Neuralink offers equity compensation (in the form of Restricted Stock Units (RSU)) for all full-time employees.
What We Offer:
Full-time employees are eligible for the following benefits listed below.
- An opportunity to change the world and work with some of the smartest and most talented experts from different fields
- Growth potential; we rapidly advance team members who have an outsized impact
- Excellent medical, dental, and vision insurance through a PPO plan
- Paid holidays
- Commuter benefits
- Meals provided
- Equity (RSUs) *Temporary Employees & Interns excluded
- 401(k) plan *Interns initially excluded until they work 1,000 hours
- Parental leave *Temporary Employees & Interns excluded
- Flexible time off *Temporary Employees & Interns excluded
Ready to apply?
Apply to Neuralink
Software Engineer, Infrastructure
About Neuralink:
We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
Team Description:
The Infrastructure Team builds the foundation that enables the company to operate safely, robustly, and move at light-speed. We run a mixture of cloud-based and on-prem systems and have a user base spanning from highly technically proficient engineers to non-technical scientists and doctors; but all of them need solid systems, rugged networking, and bullet-proof software to do their jobs. This role will integrate tightly with teams across the company, and span all layers of the work environment stack, from deployment of physical hardware on the manufacturing line, to custom tooling to stream neural recordings from implants.
Tech Stack:
- Rust, Python
- Terraform
- Bazel and Nix
- Kubernetes
- GitLab CI
- AWS
- Ubuntu, Fedora
Focus:
- Developing the foundations for teams to build the software and systems required for record-breaking BCI experiences.
- Enhancing developer experience with robust tooling and build-system infrastructure.
- Building foundational infrastructure for HITL (hardware in the loop) testing across firmware, BCI, and robot teams.
- Ground-up infrastructure of on-premise solutions as well as cloud architecture.
- Foundational software engineering with a focus on serving internal software teams.
Qualifications:
- Experience using IAC tools such as Terraform, Docker, Packer, Ansible, Cloud-Init, Kickstart.
- Working knowledge of compiled languages, ideally Rust, Go, or C/C++.
- Working knowledge of major cryptographic protocols and authentication schemes such as TLS, x509, 802.1x, U2F, SAML.
- Familiarity with modern Linux boot process, UEFI, TPM measured boot, Secure Boot, Systemd.
- Systems administration experience on Windows, macOS, and Linux.
- In-depth understanding of modern networking and common protocols.
- Ability to architect, build, and ship 0 to 1 infrastructure quickly and efficiently.
Expected Compensation:
The anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training. We also believe in aligning our employees’ success with the company's long-term growth. As such, in addition to base salary, Neuralink offers equity compensation (in the form of Restricted Stock Units (RSU)) for all full-time employees.
What We Offer:
Full-time employees are eligible for the following benefits listed below.
- An opportunity to change the world and work with some of the smartest and most talented experts from different fields
- Growth potential; we rapidly advance team members who have an outsized impact
- Excellent medical, dental, and vision insurance through a PPO plan
- Paid holidays
- Commuter benefits
- Meals provided
- Equity (RSUs) *Temporary Employees & Interns excluded
- 401(k) plan *Interns initially excluded until they work 1,000 hours
- Parental leave *Temporary Employees & Interns excluded
- Flexible time off *Temporary Employees & Interns excluded
Ready to apply?
Apply to Neuralink
About Neuralink:
We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
Team Description:
The Robot Reliability and Test Team is directly responsible for ensuring the surgical robot and its subassemblies are rigorously tested during both the design and production cycles. The team designs testing infrastructure, writes and provides guidance on test descriptions and outputs, and ensures the surgical robot is reliable and ready for use in human surgeries. Providing safe, effective, and smooth surgical procedures allows Neuralink to move at a rapid pace and reach more individuals who need this life-changing technology.
Job Description and Responsibilities:
As a Test Engineer, you’ll be responsible for transforming our surgical robot from an experimental medical device to a robust system capable of doing tens of thousands of surgeries. We’re looking for engineers with experience designing complex hardware systems, developing tests and fixtures to validate hardware, or debugging complex systems (or all three!). You will identify and resolve key reliability issues while designing and implementing test infrastructure to enhance the robot's engineering development and validation as well as the reliability of both the robot and its associated surgical tools. Furthermore, you will be expected to:
- Drive resolution and preventative actions for non-conforming robots
- Provide guidance on design controls and transfer processes
- Analyze data trends and debug hardware & software failures
- Define maintenance and calibration schedules
If you’re excited about solving new problems every day, or if you are passionate about test and fixture design, we would love to hear from you!
Required Qualifications:
- Bachelor’s Degree in mechanical/electrical engineering, or equivalent in experience and ability
- 1+ years of engineering experience in testing and making systems reliable (whether that's in school clubs or industry)
- Strong understanding of engineering first principles
Preferred Qualifications:
- Experience designing hardware in the loop test systems
- Proficiency interfacing with sensors, motors, etc.
- Coding experience in Python
Expected Compensation:
The anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training. We also believe in aligning our employees’ success with the company's long-term growth. As such, in addition to base salary, Neuralink offers equity compensation (in the form of Restricted Stock Units (RSU)) for all full-time employees.
What We Offer:
Full-time employees are eligible for the following benefits listed below.
- An opportunity to change the world and work with some of the smartest and most talented experts from different fields
- Growth potential; we rapidly advance team members who have an outsized impact
- Excellent medical, dental, and vision insurance through a PPO plan
- Paid holidays
- Commuter benefits
- Meals provided
- Equity (RSUs) *Temporary Employees & Interns excluded
- 401(k) plan *Interns initially excluded until they work 1,000 hours
- Parental leave *Temporary Employees & Interns excluded
- Flexible time off *Temporary Employees & Interns excluded
Ready to apply?
Apply to Neuralink
About Neuralink:
We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
Team Description:
The Brain Interfaces Mechanical Engineering team is responsible for the mechanical and manufacturing systems related to our implant, microfabricated thin-film electrodes, wireless charger, and associated accessories. This includes product design, electronics packaging integration, manufacturing line and facility design, test infrastructure design, and related activities for these core products.
Job Description and Responsibilities:
As a Mechanical Engineer at Neuralink, you will own the design and production of hardware solutions for our brain-computer interface devices. Projects will be highly varied, leveraging both breadth and depth of first principles in mechanical engineering, manufacturing engineering, and test engineering. You will collaborate closely with other engineers (e.g., electrical engineers, chip designers, software engineers, robotics engineers) as well as neuroscientists, neurosurgeons, clinicians, animal care specialists, and other industry experts. You may own a major product from early concept to production, while also diving deep into smaller but essential manufacturing problems to unblock production. Responsibilities will include:
- Exploring early device architectures and downselecting to drive design and company direction
- Scoping projects and requirements, large and small, to hit aggressive project schedules and ensure timely completion from inception to implementation
- Performing market research and gathering feedback from our users (e.g., patients, surgeons, animal care team) to inform product direction
- Detailed designing of 3D CAD and 2D drawings with a heavy focus on DFX, and integration onto the manufacturing line
- Rapid prototyping with existing technologies, and developing or sourcing expanded capabilities
- Identifying key vendors and developing/maintaining relationships to expand our capabilities
- Developing, maintaining, and executing test plans and electro-mechanical test systems for verification and validation of products ranging from components to sub-assemblies, full consumer electronics products, or production environments
- Identifying and tackling manufacturing rate limiters and yield hitters
- Working with data acquisition systems and control systems to continually improve in-test and in-process data recording and system useability
- Providing insight into the design of tooling and equipment from development to full-volume production including poka-yoke, controls, and standardization of componentry
- Developing requirements for, sourcing, and pitching major equipment purchases to expand manufacturing and test capabilities; becoming the subject matter expert for this equipment and training other engineers and technicians
- Developing knowledge of and implementing compliance with relevant federal regulations (e.g., GxP, 21 CFR) as they pertain to medical device design and manufacturing
- Writing and maintaining design and manufacturing documentation for internal reference and submission to regulatory bodies
Required Qualifications:
- Bachelor’s Degree in Mechanical Engineering or related field, or equivalent experience and ability
- 5+ years of mechanical engineering industry experience, owning products from concept to production
- Strong grasp of engineering's first principles
- Experience with DFX, conventional machining, rapid prototyping technologies, and precision design + manufacturing
- Proficiency in CAD (SolidWorks preferred)
Preferred Qualifications:
- Experience in the design and manufacturing of implantable electromechanical medical devices
- Knowledge of ISO 13485, ISO 10993, 21 CFR, and related standards
- Experience scaling complex low to mid-volume production lines
Expected Compensation:
The anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training. We also believe in aligning our employees’ success with the company's long-term growth. As such, in addition to base salary, Neuralink offers equity compensation (in the form of Restricted Stock Units (RSU)) for all full-time employees.
What We Offer:
Full-time employees are eligible for the following benefits listed below.
- An opportunity to change the world and work with some of the smartest and most talented experts from different fields
- Growth potential; we rapidly advance team members who have an outsized impact
- Excellent medical, dental, and vision insurance through a PPO plan
- Paid holidays
- Commuter benefits
- Meals provided
- Equity (RSUs) *Temporary Employees & Interns excluded
- 401(k) plan *Interns initially excluded until they work 1,000 hours
- Parental leave *Temporary Employees & Interns excluded
- Flexible time off *Temporary Employees & Interns excluded
Ready to apply?
Apply to Neuralink
Electrical Engineer, Robotics
About Neuralink:
We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
Team Description:
The Surgery & Robotics Hardware Team is looking for Electrical Engineers who want to advance the future of healthcare solutions with technology. At Neuralink we recognize that increasing healthcare costs, lack of access, and insufficient numbers of neurosurgeons globally require new approaches to enable greater access to our devices. To address these challenges we design fully autonomous robotics systems, human assistive surgical tools, and design entire surgical suites in order to provide better experiences for our customers.
Our team works on our surgical robot system which aims to fully automate the implantation of the Neuralink implant. We design and integrate multi-axis robotic arms, perception systems including custom imaging hardware, optical coherence tomography tissue imaging, power electronics, and safety systems such as 3D spatial mapping/object avoidance sensors. Robotics is part of a larger system of tools we work on. For example, using pre-op MRI scans we generate patient anatomy data that we later use in surgery to register precise surgery site locations.
In addition to research and development of modern surgical technology, we also are responsible for bringing these technologies to market. We perform full lifecycle testing for all devices we design and ultimately manufacture them for use in human surgeries. To date, our designs have served over 20 individuals, and in the coming years our designs will serve thousands of individuals who wish to use our implant technology.
Job Description and Responsibilities:
As an Electrical Engineer on the Surgery & Robot Hardware Team, you will be expected to design, verify, and oversee the transition to production of a variety of custom electronics systems. This role offers substantial autonomy and the exciting opportunity to own creative decisions and execute on new, impactful projects such as robotics stage designs, motor drives and controls, custom camera designs, manufacturing automation, and the firmware that enables all of these devices.
Required Qualifications:
- Bachelor’s degree in Electrical Engineering or a related field or equivalent experience
- Professional experience delivering on all phases of electronics design (requirements, part selection, schematic, layout, manufacturing, test)
- Demonstrated depth in at least one of the following:
- Power electronics: experience designing custom power conversion, distribution, eFusing, and battery management systems in the low-to-medium (1W-2kW) range
- FPGA hardware design for time sensitive systems such as image processing, high-speed data acquisition, or real time networking. Professional experience in FPGA selection, RTL development, digital signal processing theory and techniques, and hardware design to interface high speed physical layer devices via PCIe, MIPI, SLVS-ec, LVDS, etc
- Manufacturing automation design: professional experience architecting and implementing manufacturing automation solutions for products that currently ship at the scale of 1000’s+
- Practical electronics design knowledge including designing for EMC, ESD, thermals and packaging
Preferred Qualifications:
- A portfolio showcasing your hardware designs
- Demonstrable experience developing electronics for safety critical systems such as medical devices, aerospace, automotive, or military
- Demonstrable experience shipping code in one of the following languages: C, C++, Python, or Rust
- Altium experience
Expected Compensation:
The anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training. We also believe in aligning our employees’ success with the company's long-term growth. As such, in addition to base salary, Neuralink offers equity compensation (in the form of Restricted Stock Units (RSU)) for all full-time employees.
What We Offer:
Full-time employees are eligible for the following benefits listed below.
- An opportunity to change the world and work with some of the smartest and most talented experts from different fields
- Growth potential; we rapidly advance team members who have an outsized impact
- Excellent medical, dental, and vision insurance through a PPO plan
- Paid holidays
- Commuter benefits
- Meals provided
- Equity (RSUs) *Temporary Employees & Interns excluded
- 401(k) plan *Interns initially excluded until they work 1,000 hours
- Parental leave *Temporary Employees & Interns excluded
- Flexible time off *Temporary Employees & Interns excluded
Ready to apply?
Apply to Neuralink
Senior Manager, Metrology & Optical Test Engineering
A new paradigm of computing
Magic Leap is a pioneer in Augmented Reality (AR) optics, display systems, platforms, devices services, prototyping and manufacturing capabilities. We are known for our unmatched optics stack and have developed ultra-lightweight waveguides and display systems that advance what is possible in AR. With more than a decade of experience in AR innovation, we have made groundbreaking advancements in text legibility, color fidelity and rich digital content visuals while continually expanding the field of view to create engaging, immersive AR experiences.
Magic Leap could be your place if you want to be part of a united team where everyone is empowered and trusted to make an impact. At Magic Leap, you can explore innovative solutions and use your talents to solve real-world problems. Working alongside industry experts, you can grow your skills while helping make our technology available to millions of people as a partner in the AR ecosystem. We know that successful change and progress accelerate diverse perspectives. As we shape our future, everyone's voice matters. Together, we can reimagine the world of work and, with our bold partners, make the impossible possible.
The opportunity
We are seeking an experienced, hands-on Senior Manager, Metrology & Optical Test expert to lead a focused group of engineers in our waveguide manufacturing team. This leadership role involves overseeing all aspects of measurement, calibration, and instrumentation, including nanostructure characterization and optical performance testing for outgoing products. Responsibility spans across the organization, ensuring the highest standards of accuracy and compliance are maintained to deliver on customer requirements. The ideal candidate will be a leader and player/coach with a deep technical understanding of metrology and optical test principles, quality systems, and advanced measurement equipment. This role is integral to advancing our Optics NPI and Manufacturing practices and will work closely with cross-functional design, process, materials, and integration teams.
Location: This role will be based fully onsite in Austin, TX. Relocation assistance is available for non-local candidates.
What you’ll do
- Strategy and Leadership:
- Develop and implement the Optical NPI and Manufacturing metrology strategy, ensuring alignment with overall business objectives and quality standards.
- Lead a small team of metrology and optics professionals, defining actionable goals, developing their professional growth, while fostering a culture of continuous improvement.
- Lead and develop best practices for problem solving (8D, 5 Whys, Fishbone, etc.) and technical communication.
- Seamless integration of workflows across R&D, Manufacturing, NPI, and Materials team to deliver solutions to support manufacturing operations activities from early NPI through High Volume ramp.
- Ownership of delivering clear, concise technical documentation and presentations, and building effective partnerships across teams and with external suppliers.
- Measurement and Optical Test Tools:
- Oversee the maintenance, calibration, and verification of all measurement and test equipment (M&TE) to maintain traceability and compliance with national and international standards (e.g., ISO/IEC 17025, ISO 9001).
- Establish and enforce standard operating procedures (SOPs) for all metrology and optical test processes, including measurement uncertainty analysis, gauge R&R studies, and calibration schedules.
- Define, develop, budget, and qualify advanced testing/characterization techniques to deepen the fundamental understanding of waveguide materials, processes, and their impact on device performance. This includes recipe/configuration setups, statistical validation such as GR&R and matching studies, calibrated standards, golden unit creation, long-term stability (LTS), and factory and site acceptance testing for new equipment.
- Technical Expertise and Support:
- Serve as the primary subject matter expert (SME) for all complex dimensional, mechanical, and electrical measurement challenges, providing technical guidance to cross-functional teams (e.g., R&D, Manufacturing, Quality).
- Apply expertise in metrology, characterization, optics, and nanofabrication to support imprint and replication processes, wafer cleaning, plasma etch, chemical vapor deposition (CVD), and metals deposition.
- Establish project priorities and manage resources, ensuring efficient workflow across metrology (AFM, ellipsometry, interferometry, and other characterization equipment) and waveguide optical testers (for KPIs such as ANSI, MTF, Transmission, etc).
- Analyze Interpret data from metrology equipment, including identification of potential measurement errors, tool variance, and tester to tester correlations.
- Operations and Compliance:
- Manage the departmental budget, including definition of capital equipment requirements and resource allocation.
- Drive the selection, procurement, and implementation of new metrology and optical test technologies and software to enhance measurement capabilities and efficiency.
- Act as the representative for all external audits related to metrology and optical test solutions.
- Collaborate with the Quality department to ensure metrology practices support the company's Quality Management System (QMS).
The experience you bring
- Bachelor’s or Master’s degree in Engineering, Physics, or a related technical field.
- Minimum of 8 years of progressive experience in metrology, quality control, optical test, or precision manufacturing, with at least 3 years in a management or leadership role. Minimum 7 years of hands-on experience in advanced materials characterization techniques.
- Technical Expertise:
- In-depth knowledge of geometric dimensioning and tolerancing (GD&T) per ASME Y14.5.
- Demonstrated expertise in measurement uncertainty budgets and calculations, sensitivity analysis, and variance analysis.
- A strong statistical background and experience in large data set analysis using industry standard tools (e.g., JMP, R, Python, Matlab).
- Proficiency with various measurement systems, including CMMs, optical scanners, vision systems, and conventional gauges.
- Hands-on experience with materials and nanostructure characterization methods, including SEM, AFM, ellipsometry, interferometry, XRD, EDX, uXRF, FTIR, DSC, and TGA.
- Standards Knowledge: Strong working knowledge of relevant international quality and metrology standards (e.g., ISO 9001, ISO/IEC 17025). Knowledge of statistical methods (MSA/GRR) and process improvement techniques.
- Work Environment:
- Must be comfortable working in a cleanroom laboratory environment, adhering to all safety and contamination control protocols.
- Demonstrated ability to perform effectively in fast-paced environments and under tight deadlines.
It’s exciting if you also have
- Ph.D. in Materials Science, Engineering, Chemistry, Chemical Engineering, Applied Physics, or a closely related discipline is highly desirable.
- Certification as a Certified Quality Engineer (CQE) or Certified Metrology Manager.
- Experience in a regulated industry (e.g., aerospace, medical devices, automotive, semiconductor, or AR hardware development).
- Six Sigma Greenbelt or equivalent experience.
- Demonstrated experience implementing laboratory information management systems (LIMS) or similar calibration management software and manufacturing systems integration.
- Experience in custom scripting for data post-processing (e.g., JMP, R, Python, Matlab).
Additional Information
All your information will be kept confidential according to Equal Employment Opportunities guidelines.
Please note that we do not accept any application documents via (e-)mail. Furthermore, we do not accept applications from recruitment agencies for this role.
All legitimate Magic Leap email communications will end with "@magicleap.com". Please carefully review all emails you receive, to ensure you only engage with legitimate representatives of Magic Leap. For the protection of your Personal Information, do not click any links, open any attachments, or further engage with any suspicious communications. In the event you receive an unexpected or suspicious communication claiming to come from Magic Leap, please reach out directly to TalentAcquisition@magicleap.com for assistance.
Accommodations
If you need an accommodation during the application, interviewing, or hiring process, you may request an accommodation by emailing ApplicantAccommodation@magicleap.com. Magic Leap will reasonably accommodate qualified individuals with disabilities to the extent required by applicable law.
#LI-SM2
#LI-ONSITE
Our salary ranges are determined by role, level and location. In addition to salary, Magic Leap offers a discretionary bonus and a fully comprehensive benefits package for eligible employees.
Ready to apply?
Apply to Magic Leap
ICON is looking for a Senior Robotics Software Engineer to join our Software team in Austin, TX. As a Senior Robotics Software Engineer, you will help develop and maintain robotic control software for all of ICON’s robotic systems. You will be responsible for developing high-performance C++ software to drive complex arm motions, integrating real-time sensor data, and ensuring reliable motion planning. This role is based at ICON’s Austin, TX headquarters, and will report to the Director of Embedded Software Engineering.
RESPONSIBILITIES
- Design, develop, and optimize high-performance C++ software for controlling and coordinating large-scale robotic arms.
- Develop robust motion planning and trajectory generation algorithms to safely navigate industrial arms through complex workspaces.
- Implement real-time sensor fusion and state estimation algorithms (using sensors like IMUs, LiDAR, etc.) to improve arm localization and end-effector precision.
- Program robotic arm motions in coordination with other systems.
- Develop and maintain simulated environments and automated test frameworks to support continuous integration and system verification.
- Lead system integration and validation efforts across hardware and software.
- Participate in architecture decisions for controls and electrical systems, including component selection and standardization.
- Participate in design & code reviews to maintain consistency and high-quality output.
MINIMUM QUALIFICATIONS
- Masters Degree or higher in Software Engineering, Robotics, Mechanical Engineering, or a related field.
- 5+ years of professional experience in robotics software development.
- Expert-level proficiency in modern C++ (17 or newer) and Python within a professional robotics software development environment.
- Deep foundational understanding of robotic arm kinematics (forward and inverse), multi-body dynamics, and motion planning.
- Hands-on experience with robotic platforms, sensors, actuators, localization, perception, and control systems.
- Practical experience designing and optimizing sensor fusion and state estimation algorithms (e.g., Kalman Filters).
- Strong knowledge of autonomy algorithms, robotics frameworks (such as ROS), and simulation environments.
PREFERRED QUALIFICATIONS
- Experience programming industrial robots in high-level languages.
- Experience in formal control theory and linear algebra.
- A general understanding of how to manage redundant kinematic chains or stabilize dynamic systems.
- Proven track record of delivering products to end users and production environments.
- Familiarity with hardware design, prototyping, and manufacturing processes.
- Excellent problem-solving skills and a strong analytical mindset to identify issues, propose innovative solutions, and make data-driven decisions.
- Ability to earn trust, maintain positive and professional relationships, and contribute to a culture of performance.
Furthermore, as a federal government contractor, the Company maintains an affirmative action program which furthers its commitment and complies with recordkeeping and reporting requirements under certain federal civil rights laws and regulations, including Executive Order 11246, Section 503 of the Rehabilitation Act of 1973 (as amended) and the Vietnam Era Veterans' Readjustment Assistance Act of 1974 (as amended).
Headhunters and recruitment agencies may not submit candidates through this application. ICON does not accept unsolicited headhunter and agency submissions for candidates and will not pay fees to any third-party agency without a prior agreement with ICON.
As part of our compliance with these obligations, the Company invites you to voluntarily self-identify as set forth below. Provision of such information is entirely voluntary and a decision to provide or not provide such information will not have any effect on your employment or subject you to any adverse treatment. Any and all information provided will be considered confidential, will be kept separate from your application and/or personnel file, and will only be used in accordance with applicable laws, orders and regulations, including those that require the information to be summarized and reported to the federal government for civil rights enforcement purposes.
Ready to apply?
Apply to ICON
About us
Graphcore is one of the world’s leading innovators in Artificial Intelligence compute.
It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.
As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.
Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.
Job Summary
We are seeking a Senior Principal Network Engineer to help design, deploy, and optimize next‑generation AI data center networks. AI training and inference workloads require extremely high bandwidth, deterministic low latency, and zero‑packet‑loss networking environments.
In this role, you will partner closely with the Network Architecture Lead to design and scale high‑performance computing (HPC) network fabrics supporting GPU clusters. You will work across hardware, networking, and AI application layers to ensure Graphcore’s large‑scale AI infrastructure operates at peak performance.
The ideal candidate brings deep experience operating hyperscale or HPC data center networks and has expertise in high‑speed Ethernet fabrics, RDMA technologies, advanced automation, and telemetry systems.
The Team
The Data Center Network Engineering team designs and operates the high‑performance network fabrics that power Graphcore’s AI compute platforms. The team collaborates closely with hardware engineering, AI researchers, and infrastructure teams to build scalable networking environments optimized for distributed training and inference workloads.
Engineers work on pioneering technologies including high‑speed Ethernet fabrics, lossless networking, RDMA transport, and large‑scale automation frameworks to support next‑generation AI clusters.
Responsibilities and Duties
- Assist in defining ultra‑high‑bandwidth, non‑blocking AI network fabrics (Clos spine‑leaf‑super‑spine architectures) for large‑scale distributed AI workloads.
• Optimize performance of lossless Ethernet fabrics using congestion control mechanisms such as PFC, ECN, and DCQCN to support RDMA/RoCEv2 communication.
• Lead initiatives to implement NetDevOps practices and develop automation for provisioning, configuration management, and network remediation.
• Design and deploy high‑resolution telemetry pipelines to monitor network health, detect microbursts, and analyze congestion patterns.
• Support modeling, deployment, configuration, and monitoring of data center network fabrics including scale‑out, scale‑up, and front‑end networks.
• Collaborate cross‑functionally with hardware engineers, AI researchers, and data center operations teams to co‑design high‑performance infrastructure.
• Provide technical leadership and mentorship to network engineers while establishing best practices and operational standards.
• Contribute to the long‑term networking strategy and roadmap for Graphcore’s AI infrastructure.
• Research and evaluate next‑generation high‑speed networking technologies and vendor solutions.
Candidate Profile
Essential
- BS or MS or equivalent experience in Computer Science, Electrical Engineering, Network Engineering, or related technical discipline.
• 12+ years of progressive network engineering experience with at least 3 years in hyperscale, high‑density, or HPC data center environments.
• Expert‑level knowledge of data center routing and switching protocols including BGP, OSPF, and EVPN‑VXLAN architectures.
• Strong operational understanding of RDMA networking technologies such as RoCEv2 or InfiniBand.
• Hands‑on experience with modern merchant silicon networking platforms and NOS platforms such as Arista EOS, Cisco NX‑OS, or SONiC.
• Experience deploying high‑speed network technologies including 400G/800G optics and large‑scale fabric architectures.
• Proficiency in automation and scripting languages such as Python, Go, Bash, or similar tools.
• Strong collaboration and communication skills across cross‑functional engineering teams.
Desirable
- Experience operating large‑scale AI or GPU clusters.
• Familiarity with network telemetry frameworks and streaming analytics.
• Experience implementing NetDevOps workflows and infrastructure automation pipelines.
• Experience influencing vendor roadmaps or evaluating next‑generation networking technologies.
Ready to apply?
Apply to Graphcore
Staff Bring-Up and Characterisation Engineer
Salary $198,100 - $268,000 + Phantom Equity + Benefits
Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption.
As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Austin, which will play a central role in Graphcore's work building the future of AI computing.
We are looking for a Characterisation and Bring-Up engineer to work with Architecture, Silicon Engineering, Hardware Engineering, Operations (device manufacture) and Product teams to help create and execute the bring-up and characterisation of our cutting-edge silicon devices and system platforms.
Graphcore design and develop leading edge silicon processors and high-power high-speed blade systems at the forefront of AI technology. As such you will need to develop a detailed understanding of our silicon and platform products. Your role will be to create and execute bring-up and characterisation plans of our silicon devices in systems to show that they will operate correctly over all conditions in the final product. You will concentrate on automated and manual testing of systems in the lab and datacentre. The results will be integrated with data from other teams to provide the complete characterisation solution for the product. For example, a large amount of device testing can be performed by the production test team using high-speed production test equipment.
Responsibilities and Duties
- Understand the architecture and design of silicon devices and systems, and clearly document the requirements for characterisation
- Creation of product specific characterisation plans
- Liasing with engineering teams to understand what are tests are available for characterisation purposes and driving change where appropriate
- Create and maintain an automated system for running characterisation testing, capturing the results to a central database and performing data analysis
- Execution of manual characterisation tests where automation is not appropriate
- Report regularly on progress and issues during the characterisation
- Produce characterisation reports containing platform test results and feeding them up into the overall product characterisation report
Essential skills
- A proven track record of delivering technical output, perhaps as an individual contributor, manager, or project manager
- Solid experience and understanding of silicon digital device design characterisation
- Knowledge of silicon process technology and how that impacts device performance at transistor and system level
- Knowledge of high-performance processor and system-on-chip systems
- Experience of high-speed digital interfaces, such as PCIe, Ethernet or DDR
- Knowledge of measurement automation and data analysis
- The ability to code or script automation and data analysis using appropriate coding languages such as Python, JMP for example
- An ability to work independently without daily oversight
Desirable skills:
- Knowledge of PCBA and system level technologies
- Background knowledge of ATE systems and capabilities. Whilst you will not be directly involved with such testing, some of the characterisation work will be performed on such systems
Benefits:
In addition to a competitive salary, Graphcore offers a competitive benefits package. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
Ready to apply?
Apply to Graphcore
Principal Post Silicon Validation Engineer (Bringup)
Principal Post Silicon Validation Engineer (Bringup)
Salary $241,100 - $326,100 + Phantom Equity + Benefits
Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption.
As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Austin which will play a central role in Graphcore's work building the future of AI computing.
We are looking to hire Post-Silicon Validation Engineers to join our collaborative, cross-functional development team validating cutting edge, high performance AI chips and platforms. You will play a critical role in supporting new product introductions and post-silicon validation. Working within the Post-Silicon Validation team, you will be involved with bringing first silicon to life, functionally validating it and working closely with many other teams to help it become a fully characterised and working product, reporting project status/progress to program management on a regular basis. You will have the opportunity to, and be responsible for, leading, mentoring, and providing technical guidance to other engineering team members. In this role, you can leverage your experience and industry knowledge to architect and drive implementation of continuous improvements to test infrastructure and processes.
The Post-Silicon Validation team sits within the Architecture and Validation team, we are responsible for validation of new silicon when it returns from manufacture, enabling and supporting the production SW and FW teams to bring up their software and also supporting the Silicon Characterisation team.
Responsibilities and Duties
- Plan, design, develop and debug silicon validation tests in bare metal C/C++ on FPGA/Emulator prior to first silicon
- Deploy silicon validation tests on first silicon and debugging them
- Develop automated test framework and regression test suites in Python to optimize validation efficiency
- Collaborate closely with engineers from many other disciplines on a variety of topics
- Work with Validation and Production Test engineering peers to implement best practices and continuous improvements to test methodologies
- Analyse test results, identify and debug failures/defects
- Contribute to shared test and validation infrastructure
- Provide feedback to architects
Essential skills:
- Strong experience in Bare metal / embedded C/C++
- Good knowledge of digital ASICs
- Be highly motivated, a self starter, and a team player
- Ability to work across teams and programming languages to find root causes of deep and complex issues
- Experience of the post-silicon validation process applied in digital ASIC environments
- Python, Linux
- Excellent communication skills and the ability to collaborate with others to solve problems
- Excellent problem-solving, analytical & diagnostic skills
Desirable skills:
- Driver level experience with one or more of the following is highly desirable:
- PCIe
- Ethernet
- Memory technologies (LPDDR, DDR, HBM, …)
- Other peripherals such as I2C, I3C, SPI, …
- Good knowledge of mixed-signal building blocks such as PLLs, high speed PHYs and IC control/communication protocols is highly desirable
- Experience of Arm CPUs, System IP and debug tools
- Experience of AMBA protocols
- Understanding of ML applications and their workloads
- Experience in Characterization, Failure Analysis, Test Development, Statistical analysis, and Customer Support
Benefits:
In addition to a competitive salary, Graphcore offers a competitive benefits package. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
Ready to apply?
Apply to Graphcore
Principal Security Firmware Engineer
About us
Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.
As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.
Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.
Job Summary
We are seeking an experienced Principal Security Firmware Engineer to design, implement, and validate security mechanisms within embedded firmware and low-level system software supporting Graphcore’s AI compute platforms.
This role focuses on protecting hardware platforms through secure firmware architecture, trusted boot mechanisms, and secure firmware update frameworks while working closely with hardware, firmware, and security architecture teams.
The Team
Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption.
The Firmware and Platform Security team is responsible for securing Graphcore’s AI infrastructure platforms across firmware and hardware interface layers.
The team collaborates with silicon engineering, hardware design teams, firmware developers, and security architects to implement trusted boot chains, secure firmware update mechanisms, and hardware-rooted security capabilities.
Responsibilities and Duties
- Design and implement secure firmware architectures for embedded and hardware systems.
- Develop secure boot, firmware authentication, hardware root of trust, and secure firmware update mechanisms.
- Define threat models and security requirements for firmware components.
- Develop and maintain secure embedded firmware using languages such as C, C++, and Rust.
- Integrate cryptographic libraries and hardware security modules (HSM/TPM).
- Implement protections against firmware tampering, side-channel attacks, fault injection, and reverse engineering.
- Perform firmware security assessments, code reviews, and vulnerability analysis.
- Conduct penetration testing, fuzz testing, and other security validation techniques.
- Collaborate with hardware teams to integrate chip-level security features.
- Ensure firmware implementations align with industry standards such as NIST, FIPS, and Secure Development Lifecycle practices.
Candidate Profile
Essential
- Bachelor’s or Master’s degree in Computer Engineering, Computer Science, Electrical Engineering, or related discipline.
- 5–10+ years of experience in embedded systems or firmware development.
- Strong programming experience in C and C++.
- Deep understanding of secure boot architectures and trusted boot chains.
- Strong knowledge of cryptographic protocols and secure firmware design practices.
- Experience working with embedded operating systems such as FreeRTOS, Zephyr, or Linux.
- Experience implementing secure firmware update systems and cryptographic key management.
Desirable
- Programming experience in Rust.
- Experience integrating TPM or hardware security modules (HSM).
- Experience with static analysis and security tools such as Coverity.
- Knowledge of secure silicon architectures and trusted execution environments.
- Experience contributing to open-source firmware security projects.
Benefits:
In addition to a competitive salary, Graphcore offers a competitive benefits package. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
Ready to apply?
Apply to Graphcore
Senior Embedded SW/FW Engineer (Bringup)
Salary $156,500 - $211,700 + Phantom Equity + Benefits
Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption.
As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Austin which will play a central role in Graphcore's work building the future of AI computing.
We are looking to hire Post-Silicon Validation Engineers to join our collaborative, cross-functional development team validating cutting edge, high performance AI chips and platforms. You will play a critical role in supporting new product introductions and post-silicon validation. Working within the Post-Silicon Validation team, you will be involved with bringing first silicon to life, functionally validating it and working closely with many other teams to help it become a fully characterised and working product, reporting project status/progress to program management on a regular basis. You will have the opportunity to, and be responsible for, leading, mentoring, and providing technical guidance to other engineering team members. In this role, you can leverage your experience and industry knowledge to architect and drive implementation of continuous improvements to test infrastructure and processes.
The Post-Silicon Validation team sits within the Architecture and Validation team, we are responsible for validation of new silicon when it returns from manufacture, enabling and supporting the production SW and FW teams to bring up their software and also supporting the Silicon Characterisation team.
Responsibilities and Duties
- Plan, design, develop and debug silicon validation tests in bare metal C/C++ on FPGA/Emulator prior to first silicon
- Deploy silicon validation tests on first silicon and debugging them
- Develop automated test framework and regression test suites in Python to optimize validation efficiency
- Collaborate closely with engineers from many other disciplines on a variety of topics
- Work with Validation and Production Test engineering peers to implement best practices and continuous improvements to test methodologies
- Analyse test results, identify and debug failures/defects
- Contribute to shared test and validation infrastructure
- Provide feedback to architects
Essential skills:
- Strong experience in Bare metal / embedded C/C++
- Good knowledge of digital ASICs
- Be highly motivated, a self starter, and a team player
- Ability to work across teams and programming languages to find root causes of deep and complex issues
- Experience of the post-silicon validation process applied in digital ASIC environments
- Python, Linux
- Excellent communication skills and the ability to collaborate with others to solve problems
- Excellent problem-solving, analytical & diagnostic skills
Desirable skills:
- Driver level experience with one or more of the following is highly desirable:
- PCIe
- Ethernet
- Memory technologies (LPDDR, DDR, HBM, …)
- Other peripherals such as I2C, I3C, SPI, …
- Good knowledge of mixed-signal building blocks such as PLLs, high speed PHYs and IC control/communication protocols is highly desirable
- Experience of Arm CPUs, System IP and debug tools
- Experience of AMBA protocols
- Understanding of ML applications and their workloads
- Experience in Characterization, Failure Analysis, Test Development, Statistical analysis, and Customer Support
Benefits:
In addition to a competitive salary, Graphcore offers a competitive benefits package. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
Ready to apply?
Apply to Graphcore
Graphcore is a globally recognized leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialized processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption.
As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Austin, which will play a central role in Graphcore's work building the future of AI computing.
RESPONSIBILITIES
- Responsible for the maintaining all the network fabrics and network topologies operating at peak performance on Graphcore Data centers housing AI server platforms.
- Collaborate closely with our Network architecture team through all phases of the design and development lifecycle — from concept to deployment — ensuring timely, high-quality, and stable high-speed network fabrics.
- Primary support of deployed internal fabrics in our AI Datacenters.
- Direct escalation for Hardware, Link and, Performance issues on network fabrics.
- Escalation support for customer network fabrics (aligned to reference arch.)
- Triage day-to-day network topologies (scale-up, scale-out, and front-end networks) issues of Fabrics deployed in Graphcore Datacenters.
REQUIREMENTS
- Bachelor’s, master’s degree or equivalent experience in Network Engineering/Security, Information Technology, Computer Science, Computer engineering, or a related field.
- 9+ years of hands-on experience in network engineering and 3+ years supporting networking on AI or Hyperscale Datacenters.
- Knowledge of Remote Direct Memory Access (RDMA) and its implementations, specifically ROCEv2 or InfiniBand
- Knowledge of Lossless network – Experience with congestion control and lossless Ethernet technologies including PDF, ECN and DCQCN.
- Versed in High-Bandwidth network infrastructure including experience with operating 400G and 800G network fabrics and tackling challenges at the physical layer for networks operating at these speeds. This includes familiarity with specific optical transceivers.
- Experience sustaining non-blocking, multi-tier CLOS networks (i.e., Spine / Leaf / Super-Spine) that are optimized for high-density GPU clusters.
- Extensive troubleshooting experience for data center routing protocols such as BGP and OSPF as well as troubleshooting of VXLAN implementations.
- Cross-Functional collaboration- The candidate must excel at working closely with network architects, systems hardware engineers, AI software engineers, and Datacenter infrastructure teams to optimize the full stack from the application layer down to the Network infrastructure that includes controllers (NICs, SmartNICs, DPUs), network switches, and cabling and optical transceiver operation in our Datacenter.
DIFFERENTIATORS
- Deep hands-on experience with NetDevOps to automate tasks using tools such as Terraform or Ansible to manage network configurations and state.
- Possess strong scripting skills such as Python, Go, or JSON to build custom automation, interact with APIs, and develop internal network tools.
- Deep hands-on experience with modern, high-performance hardware from network switch and NIC providers such as Broadcom, Arista, Cisco, or Pensando.
- Knowledgeable in Advanced Network Telemetry, beyond traditional SNMP. Knowledgeable in telemetry protocols such as gNMI, Sflow, Netflow, Redfish, and Prometheus to characterize and detect transient congestion events, micro-bursts in the network fabric or defective network hardware.
We welcome people of different backgrounds and experiences and are committed to building an inclusive work environment that makes Graphcore a great home for everyone. We are an equal opportunity employer and want to build a work environment where everyone is happy, productive and respectful so they can do their best work. If you have a disability or additional need that requires accommodation, just let us know.
pproach to interview and encourage you to chat to us if you require any reasonable adjustments.
Ready to apply?
Apply to Graphcore
Principal Hardware Diagnostics Engineer
About us
Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.
As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.
Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.
Job Summary
We are seeking an experienced Principal Hardware Diagnostics Engineer to design and develop diagnostics software used to monitor hardware health and diagnose system-level issues across Graphcore’s AI infrastructure platforms.
This role focuses on building diagnostics agents, tools, and analytics frameworks that enable engineers and automation systems to identify, isolate, and resolve hardware issues across blade-level servers and rack-scale clusters.
The Team
Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption.
The Systems Engineering and Platform Validation team ensures Graphcore’s AI compute platforms are reliable, diagnosable, and operationally robust at scale.
The team collaborates with hardware engineering, firmware, cloud infrastructure, and automation teams to develop tools and frameworks that monitor system health, detect hardware failures, and accelerate root-cause analysis across AI clusters.
Responsibilities and Duties
- Design and develop automated hardware diagnostics solutions for blade-level servers and rack-scale AI systems.
- Architect and implement diagnostic agents, monitoring tools, and analytics frameworks to track hardware telemetry.
- Collaborate with hardware teams to integrate low-level diagnostic modules into monitoring systems.
- Develop diagnostics tools capable of detecting hardware health conditions and isolating failures.
- Create diagnostic modules used for internal validation and production data center operations.
- Provide detailed hardware fault information to system engineers to accelerate troubleshooting.
- Define remediation workflows and insights for hardware fault scenarios across nodes and clusters.
- Collaborate with firmware, networking, and cloud platform teams to integrate diagnostics across the system stack.
Candidate Profile
Essential
- Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, or related discipline.
- Strong software engineering experience in Python, C++, or C#.
- Experience developing diagnostics or monitoring systems for hardware platforms.
- Experience working with distributed systems or cloud infrastructure.
- Strong knowledge of Linux environments and system-level diagnostics tools.
- Experience collaborating with CM/ODM partners on manufacturing diagnostics and fault isolation.
- Strong analytical and debugging skills.
- Excellent communication and collaboration abilities.
Desirable
- Experience working with AI hardware platforms or accelerator-based computing systems.
- Familiarity with hyperscale data center infrastructure.
- Experience building cluster-level monitoring or diagnostics systems.
- Experience interacting with internal or external customers during diagnostics solution development.
Ready to apply?
Apply to Graphcore
About us
Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.
As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.
Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.
This position is a senior technical engineer role. The thermal engineer will work in a project team delivering complex AI data center hardware. Primary responsibility is to ensure the overall product functionality and meet all applicable technical thermal specifications. The engineer will be responsible for the overall thermal solution, creation of specifications, design review and qualification, and testing and validation. This role involves deep understanding of thermal management principles, simulation, testing, and collaboration with cross-functional teams to deliver high-performance and reliable server cooling systems.
Responsibilities:
Expert in your chosen field, you’ll be responsible for designing, developing, modifying and evaluating the liquid cooling solutions focusing on direct liquid cooling (DLC). As part of the technical function, you will be responsible in working with select ODM vendors to manage the product thermal specification, development schedule, meet various deliverables, resolve technical issues, and ensure product meets specification, cost and quality goals. You will be responsible in guiding and directing ODM vendors to deliver thermal designs, implementation, monitor testing, review cost and review technical design information to provide clear directions to ODM. In addition, you will also be working with third party vendors and suppliers to ensure product features are being achieved.
REQUIREMENTS
- Bachelor’s, Master’s or Ph. D degrees in mechanical engineering. Minimum of 10 years of server thermal design experience. Experience needs to include thermal and acoustics, as it relates to server products. Experience in system level thermal design focusing on DLC and cold plate cooling heatsink technology as well as system level control logic
- Understanding the basic foundations of thermal fluid dynamics and heat transfer.
- Ability to lead the design and development of liquid cooling solutions. This includes conceptualization, prototyping, simulation, validation, and optimization of heat sinks, cold plates, CDU/CDM, and other liquid cooling components.
- Ability to perform thermal simulations and analyses utilizing industry-standard software (e.g., FlowTherm, ANSYS, COMSOL) to analyze thermal behavior and optimize design for performance and efficiency.
- Ability to develop and execute test plans to validate thermal solutions, ensuring compliance with industry standards and performance goals.
- Experience working closely with system architects, chip and board designers, and software/firmware engineers to integrate liquid cooling solutions into server products.
- Understanding of microprocessor architecture and thermal profiles.
- Understanding of system level thermal design focusing on fan and heatsink technology.
- Experience with system level thermal and fan control algorithm.
- Experience effectively dealing with conflict.
- Communicates well verbally, in writing, and graphically.
- Ability to establish clear goals and formulate plans to achieve them.
- Good root-cause analysis and problem-solving skills.
- Works independently and as part of a team.
- Excited about technology and has the desire to learn new tasks and technologies.
DIFFERENTIATORS
We welcome people of different backgrounds and experiences and are committed to building an inclusive work environment that makes Graphcore a great home for everyone. We are an equal opportunity employer and want to build a work environment where everyone is happy, productive and respectful so they can do their best work. If you have a disability or additional need that requires accommodation, just let us know.
Ready to apply?
Apply to Graphcore
Staff Engineer - Server Hardware Compute Blade and Rack Validation Lead
About us
Graphcore is one of the world’s leading innovators in Artificial Intelligence compute.
It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.
As part of the SoftBank Group, Graphcore is a member of a best-in-class family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.
Graphcore’s teams are drawn from a diverse group of backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.
Job Summary
We are seeking a senior validation lead engineer to lead at-scale rack validation efforts for next-generation AI hyperscale systems. This role focuses on post-silicon system validation across the full lifecycle, ensuring functional, electrical, and thermal performance meets product objectives. You will own end-to-end blade and rack validation including planning, development, execution, and debug while collaborating across firmware, systems, and hardware teams.
The Team
The Rack Validation team is responsible for ensuring system readiness and quality at scale. The team works cross-functionally with firmware, silicon, and system engineering teams to validate complex AI compute platforms.
Responsibilities and Duties
- Lead post-silicon validation of AI compute blades and racks including test planning, development, and automation.
- Drive provisioning and integration of system components (SoC FW, BMC, RMC, OS) for rack-level readiness.
- Own execution against program achievements and report validation progress and risks.
- Triage test failures, collect debug data, and collaborate on root cause analysis.
- Track validation coverage and continuously improve test processes and infrastructure.
- Collaborate with ODM/JDM partners on validation and quality.
- Mentor engineers and drive engineering excellence.
Candidate Profile
Essential:
- Bachelor’s or Master’s degree or equivalent experience in Computer Engineering, Electrical Engineering, Computer Science, or related field.
- Proven track record in system, rack, or embedded validation with leadership experience.
- Strong experience in large-scale hardware validation environments.
- Expertise in CPU/GPU, memory, IO, and firmware validation.
- Experience with Linux/server OS and automation using Python/Bash.
- Knowledge of IPMI, Redfish, PLDM.
- Experience with CI/CD pipelines and hardware interfaces.
Desirable:
- Experience in hyperscale environments.
- Familiarity with OpenBMC and processes for verifying firmware functionality.
- Knowledge of firmware security and HIL testing.
- Experience with test management tools.
Ready to apply?
Apply to Graphcore
Senior Principal Test Framework Software Engineer
About us
Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.
As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies.
Job Summary
We are seeking a highly skilled and hands-on Test Framework Software Engineer to develop, implement, and maintain robust test automation solutions that drive hardware quality and reliability across our AI hardware platforms. This role focuses on building scalable automation frameworks, translating hardware specifications into test solutions, and enabling efficient validation across development and production environments.
The Team
You will work closely with hardware, systems, and product engineering teams to ensure high-quality validation of complex AI systems. The team operates across hardware platforms, system validation, and production test environments.
Responsibilities and Duties
- Design, implement, and extend test automation frameworks for hardware qualification and validation.
- Translate hardware specifications into scalable, maintainable automated test suites.
- Collaborate with cross-functional teams to ensure test coverage meets product and quality requirements.
- Debug and troubleshoot issues in automation frameworks across environments and platforms.
- Develop tooling to process, analyze, and visualize test data for actionable insights.
- Optimize test execution efficiency and improve validation methodologies.
- Communicate technical status, risks, and insights to engineering stakeholders.
Candidate Profile
Essential:
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field.
- Extensive experience (10–15+ years) in automation systems, test frameworks, or infrastructure.
- Strong proficiency in Python, Bash, or similar scripting languages.
- Experience with Linux/Unix environments and hardware testing frameworks.
- Strong problem-solving skills and ability to work independently in cross-functional teams.
- Experience building scalable, maintainable, and reliable automation systems.
- Excellent communication and collaboration skills.
Desirable:
- Experience with test orchestration systems or automation infrastructure.
- Familiarity with CI/CD pipelines and version control (e.g., Git).
- Background in AI hardware, embedded systems, or BMC environments.
- Experience integrating automated testing into manufacturing or deployment systems.
Ready to apply?
Apply to Graphcore
Staff Engineer - Platform Bring-up and Validation
About us
Graphcore is one of the world’s leading innovators in Artificial Intelligence compute.
It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.
As part of the SoftBank Group, Graphcore is a member of a best-in-class family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.
Graphcore’s teams are drawn from a diverse set of backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.
Job Summary
We are seeking a principled and dynamic Lead Systems and Validation Engineer to drive end-to-end system validation for AI compute blade and rack platforms. This high-visibility role focuses on first silicon bring-up, system enablement, and post-silicon validation across hardware, firmware, and software domains. You will lead validation strategy, execution, and debug while collaborating closely with cross-functional engineering teams to deliver high-quality, industry-leading AI systems.
The Team
The Systems Validation team is responsible for enabling and validating Graphcore’s AI compute platforms from first silicon through production. The team works closely with system architects, firmware, silicon, and infrastructure teams to ensure system readiness, scalability, and quality at rack level.
Responsibilities and Duties
- Lead system enablement including first silicon bring-up and integration of firmware and platform components to meet system architecture specifications.
- Develop validation methodologies, lab hardware infrastructure, system software capabilities, and debug tools for blade and rack-level validation.
- Triage and debug issues across bring-up, post-silicon validation, and production phases ensuring timely resolution with high quality.
- Define and own validation test plans, develop test cases, and drive execution across domains such as CPU, GPU, memory, HBM, and IO.
- Drive innovation in validation through development of tools, scripts, and improved methodologies to enhance coverage, efficiency, and quality.
- Enable comprehensive system verification by integrating storage, networking, and infrastructure capabilities within lab environments.
- Collaborate with multi-functional teams including system architecture, embedded software, hardware build, and ODM partners.
- Provide technical leadership and mentorship, fostering engineering perfection and continuous improvement.
Candidate Profile
Essential:
- Strong analytical and problem-solving skills with high attention to detail.
- Extensive experience in system validation encompassing initial silicon integration and HW/FW/SW validation.
- Strong understanding of industry-standard interfaces such as PCIe and CXL.
- Experience enabling storage and networking systems in lab environments for end-to-end validation.
- Deep knowledge of ARM or x86 architectures, SoC design, memory, RAS, and power management.
- Experience with system-level debug, operating systems, BIOS, and device drivers.
- Strong experience with Linux, Windows, and virtualization technologies (VMware, KVM, Hyper-V).
- Excellent communication, organization, and cross-functional collaboration skills.
- Ability to lead multiple workstreams and deliver under tight timelines.
- Experience in technical program management and driving validation initiatives.
Desirable:
- Master’s or PhD in Electrical Engineering, Computer Engineering, or related field.
- Demonstrated ability working on complex system validation and debug in data center or rack-scale environments.
- Experience designing or validating AI/ML rack-scale systems.
- Knowledge of hardware development best practices and industry standards.
- Familiarity with emerging AI and data center infrastructure technologies.
- Experience collaborating with ODM partners globally.
Ready to apply?
Apply to Graphcore
Principal Embedded SW/FW Engineer (Bringup)
Salary $241,100 - $326,100 + Phantom Equity + Benefits
Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption.
As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Austin which will play a central role in Graphcore's work building the future of AI computing.
We are looking to hire Post-Silicon Validation Engineers to join our collaborative, cross-functional development team validating cutting edge, high performance AI chips and platforms. You will play a critical role in supporting new product introductions and post-silicon validation. Working within the Post-Silicon Validation team, you will be involved with bringing first silicon to life, functionally validating it and working closely with many other teams to help it become a fully characterised and working product, reporting project status/progress to program management on a regular basis. You will have the opportunity to, and be responsible for, leading, mentoring, and providing technical guidance to other engineering team members. In this role, you can leverage your experience and industry knowledge to architect and drive implementation of continuous improvements to test infrastructure and processes.
The Post-Silicon Validation team sits within the Architecture and Validation team, we are responsible for validation of new silicon when it returns from manufacture, enabling and supporting the production SW and FW teams to bring up their software and also supporting the Silicon Characterisation team.
Responsibilities and Duties
- Plan, design, develop and debug silicon validation tests in bare metal C/C++ on FPGA/Emulator prior to first silicon
- Deploy silicon validation tests on first silicon and debugging them
- Develop automated test framework and regression test suites in Python to optimize validation efficiency
- Collaborate closely with engineers from many other disciplines on a variety of topics
- Work with Validation and Production Test engineering peers to implement best practices and continuous improvements to test methodologies
- Analyse test results, identify and debug failures/defects
- Contribute to shared test and validation infrastructure
- Provide feedback to architects
Essential skills:
- Strong experience in Bare metal / embedded C/C++
- Good knowledge of digital ASICs
- Be highly motivated, a self starter, and a team player
- Ability to work across teams and programming languages to find root causes of deep and complex issues
- Experience of the post-silicon validation process applied in digital ASIC environments
- Python, Linux
- Excellent communication skills and the ability to collaborate with others to solve problems
- Excellent problem-solving, analytical & diagnostic skills
Desirable skills:
- Driver level experience with one or more of the following is highly desirable:
- PCIe
- Ethernet
- Memory technologies (LPDDR, DDR, HBM, …)
- Other peripherals such as I2C, I3C, SPI, …
- Good knowledge of mixed-signal building blocks such as PLLs, high speed PHYs and IC control/communication protocols is highly desirable
- Experience of Arm CPUs, System IP and debug tools
- Experience of AMBA protocols
- Understanding of ML applications and their workloads
- Experience in Characterization, Failure Analysis, Test Development, Statistical analysis, and Customer Support
Benefits:
In addition to a competitive salary, Graphcore offers a competitive benefits package. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
Ready to apply?
Apply to Graphcore
Senior Bring-Up and Characteristion Engineer
Salary $161,500 - $218,500 + Phantom Equity + Benefits
Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption.
As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Austin, which will play a central role in Graphcore's work building the future of AI computing.
We are looking for a Characterisation and Bring-Up engineer to work with Architecture, Silicon Engineering, Hardware Engineering, Operations (device manufacture) and Product teams to help create and execute the bring-up and characterisation of our cutting-edge silicon devices and system platforms.
Graphcore design and develop leading edge silicon processors and high-power high-speed blade systems at the forefront of AI technology. As such you will need to develop a detailed understanding of our silicon and platform products. Your role will be to create and execute bring-up and characterisation plans of our silicon devices in systems to show that they will operate correctly over all conditions in the final product. You will concentrate on automated and manual testing of systems in the lab and datacentre. The results will be integrated with data from other teams to provide the complete characterisation solution for the product. For example, a large amount of device testing can be performed by the production test team using high-speed production test equipment.
Responsibilities and Duties
- Understand the architecture and design of silicon devices and systems, and clearly document the requirements for characterisation
- Creation of product specific characterisation plans
- Liasing with engineering teams to understand what are tests are available for characterisation purposes and driving change where appropriate
- Create and maintain an automated system for running characterisation testing, capturing the results to a central database and performing data analysis
- Execution of manual characterisation tests where automation is not appropriate
- Report regularly on progress and issues during the characterisation
- Produce characterisation reports containing platform test results and feeding them up into the overall product characterisation report
Essential skills
- A proven track record of delivering technical output, perhaps as an individual contributor, manager, or project manager
- Solid experience and understanding of silicon digital device design characterisation
- Knowledge of silicon process technology and how that impacts device performance at transistor and system level
- Knowledge of high-performance processor and system-on-chip systems
- Experience of high-speed digital interfaces, such as PCIe, Ethernet or DDR
- Knowledge of measurement automation and data analysis
- The ability to code or script automation and data analysis using appropriate coding languages such as Python, JMP for example
- An ability to work independently without daily oversight
Desirable skills:
- Knowledge of PCBA and system level technologies
- Background knowledge of ATE systems and capabilities. Whilst you will not be directly involved with such testing, some of the characterisation work will be performed on such systems
Benefits:
In addition to a competitive salary, Graphcore offers a competitive benefits package. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
Ready to apply?
Apply to Graphcore
Senior Bring-Up and Characteristion Engineer
Salary $156,500 - $211,700 + Phantom Equity + Benefits
Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption.
As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Austin, which will play a central role in Graphcore's work building the future of AI computing.
We are looking for a Characterisation and Bring-Up engineer to work with Architecture, Silicon Engineering, Hardware Engineering, Operations (device manufacture) and Product teams to help create and execute the bring-up and characterisation of our cutting-edge silicon devices and system platforms.
Graphcore design and develop leading edge silicon processors and high-power high-speed blade systems at the forefront of AI technology. As such you will need to develop a detailed understanding of our silicon and platform products. Your role will be to create and execute bring-up and characterisation plans of our silicon devices in systems to show that they will operate correctly over all conditions in the final product. You will concentrate on automated and manual testing of systems in the lab and datacentre. The results will be integrated with data from other teams to provide the complete characterisation solution for the product. For example, a large amount of device testing can be performed by the production test team using high-speed production test equipment.
Responsibilities and Duties
- Understand the architecture and design of silicon devices and systems, and clearly document the requirements for characterisation
- Creation of product specific characterisation plans
- Liasing with engineering teams to understand what are tests are available for characterisation purposes and driving change where appropriate
- Create and maintain an automated system for running characterisation testing, capturing the results to a central database and performing data analysis
- Execution of manual characterisation tests where automation is not appropriate
- Report regularly on progress and issues during the characterisation
- Produce characterisation reports containing platform test results and feeding them up into the overall product characterisation report
Essential skills
- A proven track record of delivering technical output, perhaps as an individual contributor, manager, or project manager
- Solid experience and understanding of silicon digital device design characterisation
- Knowledge of silicon process technology and how that impacts device performance at transistor and system level
- Knowledge of high-performance processor and system-on-chip systems
- Experience of high-speed digital interfaces, such as PCIe, Ethernet or DDR
- Knowledge of measurement automation and data analysis
- The ability to code or script automation and data analysis using appropriate coding languages such as Python, JMP for example
- An ability to work independently without daily oversight
Desirable skills:
- Knowledge of PCBA and system level technologies
- Background knowledge of ATE systems and capabilities. Whilst you will not be directly involved with such testing, some of the characterisation work will be performed on such systems
Benefits:
In addition to a competitive salary, Graphcore offers a competitive benefits package. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
Ready to apply?
Apply to Graphcore
Staff Bring-Up and Characterisation Engineer
Salary $191,100 - $258,500 + Phantom Equity + Benefits
Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption.
As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Austin, which will play a central role in Graphcore's work building the future of AI computing.
We are looking for a Characterisation and Bring-Up engineer to work with Architecture, Silicon Engineering, Hardware Engineering, Operations (device manufacture) and Product teams to help create and execute the bring-up and characterisation of our cutting-edge silicon devices and system platforms.
Graphcore design and develop leading edge silicon processors and high-power high-speed blade systems at the forefront of AI technology. As such you will need to develop a detailed understanding of our silicon and platform products. Your role will be to create and execute bring-up and characterisation plans of our silicon devices in systems to show that they will operate correctly over all conditions in the final product. You will concentrate on automated and manual testing of systems in the lab and datacentre. The results will be integrated with data from other teams to provide the complete characterisation solution for the product. For example, a large amount of device testing can be performed by the production test team using high-speed production test equipment.
Responsibilities and Duties
- Understand the architecture and design of silicon devices and systems, and clearly document the requirements for characterisation
- Creation of product specific characterisation plans
- Liasing with engineering teams to understand what are tests are available for characterisation purposes and driving change where appropriate
- Create and maintain an automated system for running characterisation testing, capturing the results to a central database and performing data analysis
- Execution of manual characterisation tests where automation is not appropriate
- Report regularly on progress and issues during the characterisation
- Produce characterisation reports containing platform test results and feeding them up into the overall product characterisation report
Essential skills
- A proven track record of delivering technical output, perhaps as an individual contributor, manager, or project manager
- Solid experience and understanding of silicon digital device design characterisation
- Knowledge of silicon process technology and how that impacts device performance at transistor and system level
- Knowledge of high-performance processor and system-on-chip systems
- Experience of high-speed digital interfaces, such as PCIe, Ethernet or DDR
- Knowledge of measurement automation and data analysis
- The ability to code or script automation and data analysis using appropriate coding languages such as Python, JMP for example
- An ability to work independently without daily oversight
Desirable skills:
- Knowledge of PCBA and system level technologies
- Background knowledge of ATE systems and capabilities. Whilst you will not be directly involved with such testing, some of the characterisation work will be performed on such systems
Benefits:
In addition to a competitive salary, Graphcore offers a competitive benefits package. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
Ready to apply?
Apply to Graphcore
Staff Mechanical HVAC Engineer
About us
Graphcore is one of the world’s leading innovators in Artificial Intelligence compute.
It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.
As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.
Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.
Job Summary
Graphcore is seeking a Staff Mechanical Engineer to join our Data Center Engineering organization and drive engineering coordination efforts with external data center developers. You will be working with a multi-disciplinary team of technical leaders to deliver best-in-class infrastructure solutions. The ideal location for this position will be based out of Austin. Roughly 10-20% travel time can be expected..
The Team
The Data Center Engineering team is responsible for the design, development, and deployment of infrastructure that supports Graphcore’s advanced AI compute platforms.
The team collaborates with internal engineering groups, external consultants, and data center developers to deliver reliable and scalable environments for high-performance computing workloads.
Team members work across multiple disciplines—including mechanical, electrical, facilities, and IT infrastructure—to ensure that Graphcore’s data center deployments meet stringent performance, efficiency, and operational reliability requirements.
Responsibilities and Duties
- Develop and review design standards and specifications, ensuring alignment with industry standard methodologies and Graphcore’s reliability goals.
- Perform detailed engineering analysis of designs, ensuring efficiency and reliability of operation.
- Provide direction, coordinate with, and review the designs of external consultants and partners.
- Ensure delivery of future-proof engineered solutions.
- Conduct site inspections and attend factory visits critical infrastructure and equipment.
- Define and issue owner’s requirements for mechanical systems design.
- Manage design teams from an owner’s perspective and make decisions to keep projects moving forward.
- Stay informed on the latest industry developments and emergent technologies within the data center industry.
Candidate Profile:
Essential:
- Bachelor’s degree or equivalent experience in Mechanical Engineering or related field.
- Deep technical knowledge of HVAC equipment and systems including: chillers, boilers, pumps, air handling equipment, duct and piping design, sequence of controls.
- Experience coordinating with IT teams for infrastructure design in support of HPC racks and data centers.
- Excellent interpersonal skills and ability to collaborate in a cross-discipline team.
- Comfortable with a fast-paced environment that is rapidly developing and changing.
- Professional Engineering (PE) license or equivalent international certification (this position will not be stamping drawings as EOR).
Desirable:
- Prior experience with hyperscale data center environments or co-location facilities at the Tier III or Tier IV levels as defined by Uptime Institute.
- Experience with plumbing systems equipment and design (domestic water, waste/vent, etc.)
- Visio, BlueBeam, AutoCAD, Revit, or other design and drafting software.
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Senior Post Silicon Validation Engineer (Bringup)
Senior Post Silicon Validation Engineer (Bringup)
Salary $156,500 - $211,700 + Phantom Equity + Benefits
Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption.
As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Austin which will play a central role in Graphcore's work building the future of AI computing.
We are looking to hire Post-Silicon Validation Engineers to join our collaborative, cross-functional development team validating cutting edge, high performance AI chips and platforms. You will play a critical role in supporting new product introductions and post-silicon validation. Working within the Post-Silicon Validation team, you will be involved with bringing first silicon to life, functionally validating it and working closely with many other teams to help it become a fully characterised and working product, reporting project status/progress to program management on a regular basis. You will have the opportunity to, and be responsible for, leading, mentoring, and providing technical guidance to other engineering team members. In this role, you can leverage your experience and industry knowledge to architect and drive implementation of continuous improvements to test infrastructure and processes.
The Post-Silicon Validation team sits within the Architecture and Validation team, we are responsible for validation of new silicon when it returns from manufacture, enabling and supporting the production SW and FW teams to bring up their software and also supporting the Silicon Characterisation team.
Responsibilities and Duties
- Plan, design, develop and debug silicon validation tests in bare metal C/C++ on FPGA/Emulator prior to first silicon
- Deploy silicon validation tests on first silicon and debugging them
- Develop automated test framework and regression test suites in Python to optimize validation efficiency
- Collaborate closely with engineers from many other disciplines on a variety of topics
- Work with Validation and Production Test engineering peers to implement best practices and continuous improvements to test methodologies
- Analyse test results, identify and debug failures/defects
- Contribute to shared test and validation infrastructure
- Provide feedback to architects
Essential skills:
- Strong experience in Bare metal / embedded C/C++
- Good knowledge of digital ASICs
- Be highly motivated, a self starter, and a team player
- Ability to work across teams and programming languages to find root causes of deep and complex issues
- Experience of the post-silicon validation process applied in digital ASIC environments
- Python, Linux
- Excellent communication skills and the ability to collaborate with others to solve problems
- Excellent problem-solving, analytical & diagnostic skills
Desirable skills:
- Driver level experience with one or more of the following is highly desirable:
- PCIe
- Ethernet
- Memory technologies (LPDDR, DDR, HBM, …)
- Other peripherals such as I2C, I3C, SPI, …
- Good knowledge of mixed-signal building blocks such as PLLs, high speed PHYs and IC control/communication protocols is highly desirable
- Experience of Arm CPUs, System IP and debug tools
- Experience of AMBA protocols
- Understanding of ML applications and their workloads
- Experience in Characterization, Failure Analysis, Test Development, Statistical analysis, and Customer Support
Benefits:
In addition to a competitive salary, Graphcore offers a competitive benefits package. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
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About us
Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.
As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.
Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.
Job Summary
We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments.
This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems.
The Team
The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms.
The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems.
This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment.
Responsibilities and Duties
- Lead advanced break-fix troubleshooting for server blades, motherboards, power systems, and rack-scale infrastructure.
- Support engineering bring-up activities, including component validation and firmware interaction testing.
- Diagnose system-level failures involving thermal behavior, power anomalies, network configuration, and BIOS/BMC issues.
- Collaborate with server engineering teams to perform root cause analysis and propose corrective actions or design improvements.
- Support deployment and rollout of next-generation hardware platforms through structured validation and qualification cycles.
- Interface with facilities and infrastructure teams to understand environmental factors impacting system reliability.
- Develop and maintain standard operating procedures (SOPs), troubleshooting guides, and validation documentation.
- Provide guidance and mentorship to junior technicians and engineers on troubleshooting methodologies and hardware diagnostics.
- Participate in on-call rotations or off-hours support during critical engineering milestones or hardware bring-up phases.
Candidate Profile
Essential
- Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related discipline.
- Strong experience with server hardware architectures and board-level debugging.
- Experience analyzing system logs, hardware telemetry, and power/thermal metrics to isolate hardware failures.
- Hands-on experience with HPC systems, AI compute platforms, or rack-scale infrastructure.
- Strong collaboration skills and ability to work effectively in fast-paced engineering environments.
- Excellent written and verbal communication skills.
Desirable
- Experience supporting prototype or pre-production hardware bring-up.
- Familiarity with data center facilities, including liquid cooling and power distribution systems.
- Experience using Python, Bash, or automation tools for hardware validation or troubleshooting.
- Exposure to structured failure analysis and reliability engineering methodologies.
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Developer GTM Intern – Enterprise Sales & AI Automation (Summer 2026)
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Location: Austin, TX
About The InternshipCloudflare's Developer GTM team is on a mission to drive enterprise adoption of Cloudflare's developer platform — and we're building AI into the core of how we do it. As a Developer GTM Intern, your primary focus will be identifying manual, repetitive processes across our enterprise sales motion and replacing them with AI-powered workflows. You will analyze how our team operates today, find the bottlenecks, and ship working solutions that save time and improve outcomes. This is not a research or PowerPoint role — you will build things that the team actually uses. If you want to spend a summer at the intersection of enterprise sales, developer technology, and applied AI, this role is for you.
What You’ll Get To Do In This Role
AI Workflow Automation: Audit existing enterprise sales workflows — account research, technical discovery, competitive analysis, proposal drafting, follow-up sequences — and identify the highest-value opportunities to automate using AI. Build and deploy working automations using tools like n8n, Make, Zapier, or custom scripts, and measure their impact.
AI Tool Evaluation & Adoption: Research, evaluate, and pilot AI tools relevant to enterprise GTM — from AI-powered prospecting and CRM enrichment to meeting summarization, deal coaching, and content personalization. Document findings and create adoption guides so the broader team can use what works.
Sales Process Documentation & Optimization: Shadow enterprise sales cycles, map out current-state workflows in detail, and identify where AI can reduce friction. Build internal playbooks that combine process documentation with the AI tools that improve each step.
Demo & Technical Asset Building: Build demo applications and technical assets using Cloudflare Workers, AI, D1, and other platform primitives that help enterprise sales teams make Cloudflare's developer platform tangible in customer conversations.
Competitive & Market Intelligence: Use AI tools to automate the collection and synthesis of competitive intelligence — tracking competitor developer programs, pricing changes, and enterprise GTM moves. Deliver regular reports that help the team stay sharp in competitive deals.
Metrics & Impact Reporting: Define and track metrics that measure the impact of AI automation on enterprise sales productivity. Build dashboards that make it easy to see what's working, what isn't, and where to invest next.
You can check out our internship blogs to learn more about our program and hear directly from our past interns.
Skills & Qualifications
- Pursuing a degree in Computer Science, Engineering, Business, or a related field.
- Interest in enterprise sales, developer ecosystems, and how technical products get adopted at large companies.
- Hands-on experience with AI tools — you use LLMs, automation platforms, or no-code tools or are excited to learn how to use them.
- Strong analytical skills and a bias toward action: you identify a problem and build a solution, not a slide deck.
- Excellent written and verbal communication — you can explain a workflow to an engineer and the business case to a sales leader.
- Self-starter who thrives in ambiguity and measures success by what ships, not what gets planned.
- Ability to commit to a minimum 12 week summer internship.
- In office 3-5 days a week in [Austin].
What You'll Learn
- How to apply AI and automation to a real enterprise sales organization — not in theory, but in production.
- How Cloudflare's developer platform is sold and adopted at enterprise scale.
- How to build and deploy applications on Cloudflare Workers, AI, and related primitives.
- How to identify, prioritize, and measure process improvement opportunities in a GTM team.
- What it takes to drive AI adoption across a sales team and make it stick.
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
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About the Team
Our team is at the core of Avride's self-driving stack. We build the base infrastructure layer that powers all autopilot code. It includes C++ framework for implementing autonomy components, execution graph building and optimization systems, as well as runtimes that execute those graphs, both onboard and in simulation.
For the onboard runtime, we aim to achieve the best possible performance while operating under strict latency guarantees and reliability requirements.
For the simulation runtime, our focus is reproducibility and determinism, that’s critical for evaluating quality and safety of our technology.
Engineers on our team set the bar for code quality and reliability, and we share these standards with the rest of the development teams at Avride.
About the Role
We're looking for a Senior C++ Engineer to work full-time on critical components at the heart of our self-driving software stack. This role requires a thorough understanding of how the system performs and how all its moving parts fit together.
You'll work closely with autonomy and hardware teams across Avride to understand their needs and determine which features we should provide to unblock the most efficient and reliable solutions. You'll also communicate closely with QA and R&D operations teams to get quick feedback on actual issues and validate your ideas.
Although we move at a high pace, our product is not a place that favors quick fixes. Each design is expected to be solid and aligned with long-term goals. Analyzing the lasting consequences of every change is essential. Candidates are expected to be highly autonomous and capable of driving their ideas through every stage, from initial concept to production use.
What You'll Do
- You’ll be working on the implementation and design of Avride’s core framework - both developer APIs and runtimes - building and optimizing execution graph consisting of GPU and CPU computations, scheduling execution to guarantee latency and reliability
- Take long-term ownership of subsystems owned by the team, tracking their requirements and improving them over time.
- Building internal instrumentation and tools to keep the track on systems’s safety and performance.
- Participate in system performance evaluations and help with full-system debugging
- Design and automate of testing of the team’s components to make validation and issue-detection loops shorter
- Advocate for simplicity and long-term maintainability. Write well-structured code, produce clear design documents, and help the team resist unnecessary complexity.
What You'll Need
- 5+ years of experience with C++
- 3+ years of programming experience in multi-threaded environments - multiple processes, threads, timers, and interrupts
- Experience with Linux and understanding of OS fundamentals
- Experience in diagnosing and resolving performance issues
- Proven experience of designing and shipping complex systems including scoping the problem, evaluating trade-offs, and verifying outcomes after delivery.
- Strong cross-team collaboration skills - being ready to communicate with multiple teams to validate your ideas and manage testing and rollout out of your solutions
Nice to Have
- Python experience for scripting and non-time-critical tooling
- Background in autonomous vehicles, robotics, or other safety- or performance- critical systems.
- Experience implementing middleware systems - execution scheduling, inter-process/inter-host transport layer, issue detection
- Experience working with large and complex systems and codebases
Candidates are required to be authorized to work in the U.S. The employer is not offering relocation sponsorship, and remote work options are not available.
Avride is an equal opportunity employer and committed to providing reasonable accommodations to qualified applicants and employees with disabilities to ensure they have equal access to employment opportunities. Avride complies with the Americans with Disabilities Act (ADA), if you need a reasonable accommodation to assist with the application or hiring process, or to perform the essential functions of a job, please email jobs@avride.ai.
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