About You and The Role  

Do you thrive in high-pressure environments where every minute counts and your decisions directly impact life-saving deliveries? The Service Engineering team sits at the critical nexus between operations and engineering, serving as the first line of technical support for our global fleet of aircraft, droids, and docks. When assets go down, customers can't receive essential supplies—there's no room for delay.

Our Service Engineers are the elite troubleshooters who ensure grounded assets return to service with maximum velocity and quality. You'll work in 24/7 shift operations, serving as the primary technical lead who coordinates cross-team resources, diagnoses complex technical issues, and maintains the operational tempo that keeps Zipline flying around the world.

This role operates under strict regulatory requirements (FAA Part 135) and demanding performance targets to minimize time to service restoration and maximizing first-time fix rates. You'll serve both Flight Test and Commercial Operations, making your work essential to every delivery we make.

What You'll Do  

As a Service Engineer, you'll lead technical response as the primary technical lead for grounded assets, coordinating cross-team resources and driving resolution with urgency and precision. Your systematic troubleshooting approach will use approved procedures and diagnostic tools to identify root causes and implement solutions for aircraft, droid, and dock systems. Working in 24/7 shift operations forms a core part of your responsibilities, including comprehensive handovers, on-call duties, and emergency response protocols to maintain continuous coverage.

You'll coordinate cross-team escalation to engineering support and maintenance teams, creating work orders and ensuring smooth handoffs when physical maintenance is required. Log analysis and diagnostics will become second nature as you identify patterns, troubleshoot complex technical issues, and generate reports that drive continuous improvement. Maintaining regulatory compliance with FAA Part 135 operations, CAMP requirements, and repairman certification standards ensures all documentation meets aviation industry standards.

Driving continuous improvement will be central to your role as you contribute to troubleshooting guides, identify automation opportunities, and provide feedback to design engineering on system improvements. You'll operate advanced tools including the Zipline ERP (Zerp) platform, Fleet Apps, incident.io, and Jira to track assets, manage incidents, and coordinate with global teams. Asset triage and prioritization will maximize operational impact, ensuring critical assets return to service first while managing multiple incidents simultaneously.

Documentation and tracking of all troubleshooting activities, resolutions, and lessons learned builds institutional knowledge and supports regulatory requirements.

What You'll Bring 

• Your technical background in mechanical, electrical, software, mechatronics, aerospace or systems engineering should demonstrate ability to quickly learn complex technical systems and troubleshoot under pressure. 
• Strong analytical and problem-solving skills with experience in systematic troubleshooting, root cause analysis, and technical documentation are essential.
• Operations or maintenance experience with complex systems in high-stakes environments where downtime has significant impact, will prepare you for this role. 
• Excellent communication and coordination skills with proven ability to lead technical response, coordinate cross-functional teams, and communicate effectively under pressure are crucial. 
• Data analysis capabilities with experience in log analysis, performance metrics, and basic scripting or SQL for troubleshooting and reporting will enhance your effectiveness. 
• A continuous improvement mindset with demonstrated ability to identify process improvements, contribute to documentation, and drive operational excellence aligns with our culture.
• Adaptability and resilience to thrive in a rapidly changing environment where procedures, tools, and priorities evolve frequently is essential. 
• Customer impact focus with understanding that your work directly affects life-saving deliveries and operational reliability drives everything we do.

Preferred Qualifications

• Technical writing skills with experience creating troubleshooting guides, procedures, and technical documentation support our documentation-driven culture.
• Multi-site operations experience supporting distributed teams and assets across multiple time zones matches our global operations.
• Automation and tooling experience with process improvement, script development, or system integration contributes to our continuous improvement efforts.

What Else You Need to Know   

The starting cash range for this role is $68,000 - $145,000. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, working location, and projected impact. The total compensation package for this role may also include: equity compensation; overtime pay; discretionary annual or performance bonuses; sales incentives; benefits such as medical, dental and vision insurance; paid time off; and more.

This role requires working 24/7 shift operations including nights, weekends, and holidays as part of our continuous coverage model. You'll participate in on-call rotations and must be available for rapid response when critical assets are grounded.

The position operates under strict performance metrics and regulatory requirements. You'll work in a fast-paced, high-stakes environment where your decisions directly impact customer deliveries and operational safety.

Ability to sit (or stand at a standing desk) for long periods of time to review tickets, conduct analysis and coordinate solutions with engineers when needed. 

Travel may be required occasionally for training, certification, or site support activities (10%).

Tenstorrent is looking  for a STA methodology engineer who owns timing across advanced-node, high-performance, low-power designs, bringing deep expertise with PrimeTime, noise/crosstalk/OCV analysis, and strong scripting skills. They will lead the development and optimization of end-to-end STA methodologies and flows, drive data- and ML-assisted timing automation, and partner closely with logic, physical design, DFT, and EDA vendors to solve complex timing challenges across multiple IPs and products. 

This role is hybrid, based out of Santa Clara, CA, Austin, TX, or Fort Collins, CO.

We welcome candidates at various experience levels. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting

Who you are

• An experienced Static Timing Analysis (STA) / timing methodology engineer with a BS/M in Electrical or Computer Engineering (or equivalent experience) 5+ years in industry, focused on high-performance and low-power designs at advanced technology nodes. As well as a deep knowledge of STA tools and techniques, including noise, crosstalk, and OCV analysis.
• You are fluent with PrimeTime and related signoff tools (e.g., PT-SI, PTPX, PT-ECO) and have extensive hands-on experience driving signoff correlation, advanced static timing analysis, and signoff closure.
• You are strong at debugging timing constraints, resolving timing correlation issues, and developing effective timing closure strategies.
• You write robust, production-quality scripts in Tcl, Python, and/or Perl and are comfortable building and maintaining CAD utilities and flow components.

What we need

• A senior methodology owner to lead cross-functional efforts to solve complex timing challenges across multiple IPs, projects, and technology nodes. Experience developing and enhancing STA methodologies across the full RTL-to-GDS flow, including: Early timing estimation and timing feasibility checks. Timing optimization techniques in synthesis and place-and-route. Timing signoff methodologies and criteria. Post-route timing ECO strategies and execution.
• A technical leader to architect, optimize, and maintain production STA flows using industry-standard EDA tools, continuously improving PPA (Power, Performance, Area) and runtime efficiency.
• A methodology engineer who can explore and deploy data-driven and ML-assisted techniques to: Improve STA automation. Predict and prioritize timing risk. Guide optimization strategies across blocks and full-chip. Design, implement, and maintain scalable CAD utilities and STA flow components that improve PPA, robustness, and team productivity.
• A methodology owner who continuously refines workflows and introduces new technologies to ensure robust, PPA-optimized timing solutions across all product lines.

What you will learn

• How to scale STA methodologies across a diverse portfolio of IP and SoC programs, balancing aggressive performance targets with strict power and area constraints.
• Best practices for integrating data-driven and ML-assisted approaches into timing flows to improve automation, predictability, and decision-making.
• How to influence tool roadmaps by partnering closely with leading EDA vendors on advanced-node timing, noise, and variability challenges.
• How to operate within and help shape a rapidly evolving startup design environment, including tradeoffs between quick solutions and long-term methodology investments.
• Deeper cross-functional insight into how logic design, physical design, and DFT interact with STA methodology, and how to build flows that serve all of these stakeholders effectively.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

This position requires access to technology that requires a U.S. export license for persons whose most recent country of citizenship or permanent residence is a U.S. EAR Country Groups D:1, E1, or E2 country. 

Position Overview

The Launch Operations Mechanical Engineer plays a critical role in the final, high-stakes phase of mission success. This position is responsible for overseeing mechanical processes and equipment at the launch base, ensuring all systems adhere to rigorous aerospace standards. You will bridge the gap between design and flight, managing the physical build, qualification, and configuration of the satellite while supporting the design of the essential Mechanical Ground Support Equipment (MGSE) required for site operations.

Key Responsibilities:

• Lead mechanical integration efforts at the launch site, ensuring the satellite is flight-ready and configured according to mission specifications.
• Design and implement Mechanical Ground Support Equipment (MGSE) tailored for launch site operations, including handling fixtures, transport containers, and integration stands.
• Oversee the mechanical assembly and qualification testing of satellite hardware, ensuring every component meets safety and performance standards prior to liftoff.
• Enforce strict aerospace industry standards across all mechanical operations to mitigate risk and ensure mission reliability.
• Work closely with integration, systems, and launch vehicle teams to synchronize mechanical activities with the overall launch schedule.

 Qualifications

• Strong background in mechanical engineering with a focus on aerospace hardware integration and MGSE design.
• Experience working in high-pressure launch base or cleanroom environments where precision is paramount.
• Proficiency in CAD software (e.g., CREO, SolidWorks, or Catia) for developing ground support hardware.
• Deep understanding of aerospace mechanical standards and safety protocols.
• Ability to troubleshoot complex mechanical issues on the fly during critical integration windows.

Education:

Bachelor's degree in mechanical engineering or aerospace engineering.

Experience:

A minimum of 5 years of direct experience in the aerospace industry or a high-flow manufacturing environment. Experience navigating the lifecycle of a product from design/build through to final qualification and deployment.

Preferred Qualifications: 

• Experience with automated integration systems used in large-scale aerospace assembly.
• Advanced proficiency in Geometric Dimensioning and Tolerancing (GD&T) to ensure high-precision interfaces between the satellite and MGSE.
• Previous experience leading small teams or managing specific hardware subsystems through a full launch campaign.

 Soft Skills:

• Strong interpersonal skills.
• Proven ability to collaborate effectively within cross-functional teams.
• Excellent written and verbal communication skills are essential.
• Meticulous attention to detail to ensure the accuracy of all documentation and project deliverables.

 Technology Stack:

• CAD Tools: AutoDesk Inventor, SolidWorks, NX, or Creo
• Analysis Tools: FEA experience is a plus
• Data/Documentation Systems: Fusion or equivalent PDM/PLM tools
• General Tools: Microsoft Office Suite (Word, Excel, PowerPoint, Project)

 Physical Requirements

• Capable of working hands-on with flight hardware, test setups, and precision instruments.
• Ability to lift and move up to 25 lbs.
• Availability for occasional extended shifts.

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. 

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. 

Location: Houston, TX or Reston, VA preferred / Remote considered / Hybrid office schedule and travel up to 50%.

Overview

Location: Houston preferred / Remote considered / Hybrid office schedule and travel up to 50%.

Overview

• Support the end-to-end engineering execution of BESS projects for data centers, from development to commissioning.Manage the technical scope of projects and serve as the technical point of contract to the project manager.
• Coordinate with internal engineering, procurement, and construction teams to ensure project milestones are met.
• Collaborate with customers, EPC contractors, OEMs, and design consultants on integration of BESS with data center electrical infrastructure.
• Review and validate system designs (electrical, civil, mechanical) and vendor submittals to ensure technical compliance and quality.
• Design and develop Single line diagrams, Schematics, Wiring diagrams for Battery storage systems
• Prepare Electrical Equipment Specifications, Data Sheets, Purchase Requisitions and Bid evaluations for inverters, Switchgear, Transformers and other electrical equipment as required
• Develop Short circuit, load flow, and arc flash studies using software such as ETAP.
• Assist in developing project schedules, procurement plans, and technical documentation.
• Conduct site walks and support field activities during installation and commissioning.
• Participate in Factory and Site Acceptance Testing (FAT/SAT) of BESS components and systems.
• Identify technical risks and propose mitigation strategies in coordination with Project Management.
• Ensure all work is compliant with relevant codes (e.g., NEC, IEEE, NFPA) and On Energy Storage’s internal standards.

• Experience working on EPC or design-build projects in the energy or critical infrastructure sector in North America.
• Familiarity with commissioning protocols and QA/QC procedures for electrical systems.
• PE or EIT certification is a plus.

We're looking for an experienced Mechanical Engineer for unmanned aircraft systems (UAS) is responsible for the design, development, and optimization of mechanical systems for unmanned aerial vehicles (UAVs) and other aerospace applications. This role focuses on creating innovative and reliable mechanical components for UAVs, ensuring their structural integrity, performance, and compliance with industry standards. The engineer will work with cross-functional teams to advance UAS technologies in sectors such as defense, commercial aviation, and space exploration.

Responsibilities:

• Design and Development: Design mechanical components and systems for UAVs and other aerospace vehicles, including airframes, propulsion systems, control surfaces, landing gears, and payload integration.
• Prototyping and Testing: Build and test UAV prototypes to ensure mechanical reliability and performance, including ground and flight tests to validate designs.
• Structural Analysis: Conduct stress, strain, and fatigue analysis on UAV structures and systems to ensure they can withstand operational conditions such as high speeds, altitudes, and varying temperatures.
• Thermal Management: Design and analyze thermal systems to manage heat dissipation, especially for high-performance UAVs and aerospace applications.
• System Integration: Collaborate with electrical, avionics, and software engineers to integrate mechanical systems with sensors, communication, and control systems in unmanned aircraft.
• Material Selection: Evaluate and select lightweight, high-performance materials for UAVs, optimizing for fuel efficiency, durability, and strength.
• Failure Analysis: Perform root cause analysis on mechanical system failures and develop solutions to enhance the safety and performance of UAVs.
• UAV Maintenance and Repair Procedures: Develop guidelines for the inspection, maintenance, and repair of UAV mechanical systems to ensure long- term operational efficiency.
• Regulatory Compliance: Ensure all designs meet relevant UAS regulations and industry standards.
• Engage in R&D for cutting-edge UAS technologies, including autonomous systems, additive manufacturing, and advanced composite materials. 
• Documentation: Create detailed reports, design specifications, maintenance manuals, and testing documentation for UAS mechanical systems. 

Qualifications: 

• Education: Bachelor’s, Mechanical or Aerospace Engineering degree or equivalent experience.
• Experience: 3-7+ years of experience in engineering roles.

Skills:

• Proficiency in CAD and mechanical design software (e.g., SolidWorks)
• Knowledge of geometric dimensioning and tolerancing (GD&T) and drafting
• Experience with design for manufacturability (DFMA) and tooling design
• Experience with finite element analysis (FEA) and other simulation tools
• Knowledge of fluid dynamics, thermodynamics, structural mechanics, and aerodynamics
• Strong analytical, problem-solving skills, and ability to mentor
• Some experience in project management skills

Preferred Qualifications:

• Proficiency in CAD primarily for aerospace and UAS applications
• Proficiency in detailed design including geometric dimensioning and tolerancing (GD&T) and drafting.
• Understanding of UAV manufacturing processes, including 3D printing and advanced composite materials.
• Familiarity with UAV-specific regulations and broader aerospace certification processes (e.g., DO-160, AS9100).
• Strong project management skills

Pay Range by Level for Dallas/Fort Worth, TX

Level III - $109k - $137k
Level IV - $137k - $165k

About the Role

As a Staff Embedded Software Engineer, you will spearhead the development of brand-new camera categories while driving the continued growth and reliability of our ever-expanding global fleet. This role is a high-impact technical leadership position requiring seamless collaboration across the entire stack—including Hardware, Product, Backend, and Frontend teams—to bring first-generation systems to life. Reporting directly to the Camera Firmware Manager, you will work full-time at our HQ in San Mateo to oversee the technical lifecycle of our newest hardware and ensure the operational excellence of a multi-million device, perpetually online IoT footprint.

What You'll Do

• Unlocking New Markets: Lead the end-to-end lifecycle of entirely new camera categories for untapped market segments. Collaborate directly with Hardware and Product teams during the initial co-design phase, to influence HW selection and feature scoping.
• Architectural Leadership: Own the firmware roadmap and drive the large-scale architectural changes required to support novel features across the entire stack—from low-level MCUs to Linux-based edge services.
• System-Wide Technical Depth: Engineer high-performance features across a diverse software landscape, spanning bare-metal MCU firmware, secure bootloaders, Linux kernel optimizations, and concurrent userspace services.
• Complex Problem Solving: Tackle the most "gnarly" system-level challenges, from non-deterministic race conditions and memory corruption to elusive hardware-software timing issues that only emerge at the scale of a million-device fleet.
• Navigate Multi-Dimensional Trade-offs: Systematically balance conflicting priorities—including hardware security hardening, peak performance, power efficiency, and deep fleet observability
• Cross-Functional Optimization: Partner with CV, Streaming, and Storage teams to architect vertically integrated features that push the boundaries of edge computing and real-time computer vision.
• Operational Excellence at Scale: Champion a reliability-first culture for a global fleet of 1.5 million perpetually online devices, designing the deployment and monitoring strategies that ensure 24/7 uptime.

What You Bring

• BS/MS in Computer Science, Electrical Engineering, or related field.
• 10+ years of professional experience in systems software development for performance and resource-constrained environments.
• 5+ years of experience building software for Linux-based platforms.
• Demonstrated experience leading large-scale, cross-functional initiatives from concept to production. You have a history of aligning diverse engineering verticals to deliver complex systems on aggressive timelines.
• Proven experience leading initial board bring-up and hardware-software co-design for first-generation embedded devices.
• Hands-on experience with low-level protocols (SPI, I2C, UART, USB) and the ability to debug complex hardware-software interactions.
• Experience designing, implementing and debugging concurrent/multithreaded firmware services
• Strong understanding of modern operating systems, computer architecture, and trade-offs between compute, memory, and storage.
• Proficient in at least one systems programming language: C++ or Golang.
• Familiarity with Bash scripting and Python for tooling and automation.
• Bonus Qualification: Direct experience with Linux Kernel development, including writing or debugging drivers, managing device trees, or optimizing kernel-space performance.
• Bonus Qualification: Technical depth in MCU firmware and the boot stack, with a focus on RTOS, bare-metal development, or secure boot implementation.
• Excellent communication and documentation skills, with the ability to collaborate across engineering and product teams.

US 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

• We do sponsor and take over sponsorship of employment visas for this role. If we make you an offer, we will make every reasonable effort to get you a visa.

About the Role 

Verkada is seeking an Enterprise Field Solution Engineer in the Central US Region with expert experience in Cloud Security, IoT Systems, Networking, Linux systems, Security Surveillance and Access Control. This individual will partner directly with their territory account executives to expand the Verkada footprint upmarket into Fortune 500 companies.  Responsibilities include directly interfacing with customers/partners throughout the sales process, overcoming technical objections, assisting customers in designing deployments with Verkada Products and providing technical assistance to territory account reps. The ideal candidate will be highly motivated, able to learn quickly and work independently while making impactful results for the company remotely.

What You'll Do

• Technical Leader: Be the subject matter authority on the full Verkada suite of products and offerings and articulate the value added benefits to customers throughout the sales process.
• Objection Handler: Overcome objections and defuse landmines while securing the technical win for Verkada.
• Evangelist: Effectively present the Verkada solution to all levels of customer, from C-level executives to loss prevention managers and directors of IT. Be a Product Technical Evangelist in training/educating partners, customers, and internal employees on the latest Verkada product offerings.
• This role requires regular travel, estimated to be more than 50% of the time, including both domestic and international destinations as needed. The successful candidate must be comfortable with frequent travel to support business operations, customer and partner engagements and team collaboration. 

What You Bring

• 3+ years of experience as a Sales Engineer, with a proven track record of working with Fortune 500 companies.
• Outstanding written and verbal English communication skills in order to clearly and efficiently articulate technical matters with customers and partners.
• Bachelor's degree in relevant technical or security field  from an accredited university.
• Strong background in Networking: HTTPS, VLANs, TCP/IP, DNS, NAT devices, DHCP and Firewalls.
• Bonus:
  • Industry certifications: AWS, CCNA, CCDA, CCNP, MCSE, CEH, Security+, A+, Network+, Microsoft Azure, CISSP, CSP.
  • Experience working with Active Directory, SAML/SCIM, API's, Python, and other coding languages is a plus.
  • Startup experience.

US Employee Benefits

About the Role

Verkada is seeking an Enterprise Field Solutions Engineer based in the Greater Houston Region with expert experience in Cloud Security, IoT Systems, Networking, Linux systems, Security Surveillance and Access Control. This individual will partner directly with their territory account executives to expand the Verkada footprint upmarket into Fortune 500 companies.  Responsibilities include directly interfacing with customers/partners throughout the sales process, overcoming technical objections, assisting customers in designing deployments with Verkada Products and providing technical assistance to territory account reps. The ideal candidate will be highly motivated, able to learn quickly and work independently while making impactful results for the company remotely. 

What You'll Do

• Technical Leader: Be the subject matter authority on the full Verkada suite of products and offerings and articulate the value added benefits to customers throughout the sales process.
• Objection Handler: Overcome objections and defuse landmines while securing the technical win for Verkada.
• Evangelist: Effectively present the Verkada solution to all levels of customer, from C-level executives to loss prevention managers and directors of IT. Be a Product Technical Evangelist in training/educating partners, customers, and internal employees on the latest Verkada product offerings.
• This role requires regular travel, estimated to be more than 50% of the time, including both domestic and international destinations as needed. The successful candidate must be comfortable with frequent travel to support business operations, customer and partner engagements and team collaboration. 

What You Bring

• 3+ years of experience as a Sales Engineer, with a proven track record of working with Fortune 500 companies.
• Outstanding written and verbal English communication skills in order to clearly and efficiently articulate technical matters with customers and partners.
• Bachelor's degree in relevant technical or security field  from an accredited university.
• Strong background in Networking: HTTPS, VLANs, TCP/IP, DNS, NAT devices, DHCP and Firewalls.
• Bonus:
• Industry certifications: AWS, CCNA, CCDA, CCNP, MCSE, CEH, Security+, A+, Network+, Microsoft Azure, CISSP, CSP.
• Experience working with Active Directory, SAML/SCIM, API's, Python, and other coding languages is a plus.
• Startup experience.

US 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.

WE’RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further.

Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients.  If this sounds exciting to you, let’s chat! 

Solution Architect

You are the architectural conscience of the platform and the technical translator at the front of every client engagement. Half your week is inside the product — reviewing ADRs, holding integration patterns coherent, and partnering with the data architect and senior dev to keep the architecture honest. The other half is in front of clients — taking real operational complexity and turning it into platform configurations the system can actually execute. You are not a slide architect. You write decisions down, defend them with reasons, and change them when the reasons change. This role only works if you genuinely enjoy both sides. The leverage is in the loop between them — what we learn in deployments shapes the platform, and what the platform enforces shapes how we deploy. You will sit in our headquarters in Dallas, TX on a hybrid schedule. The team is in office on Tuesdays, Wednesdays and Thursdays. 

What experience should you have:

• 10+ years of software engineering experience, with at least 4 explicitly accountable for system architecture — Principal Engineer, Staff Engineer, Solution Architect, or equivalent.
• Production experience with multi-tenant SaaS at meaningful scale. You have personally owned tenant isolation decisions and understand the difference between "we have a tenant_id column" and a defensible isolation model.
• Deep experience with event-driven or event-sourced systems in production. You have opinions about idempotency, schema evolution, and the cost of getting either wrong.
• Working fluency in the modern TypeScript/Node ecosystem (NestJS, Next.js, Drizzle, Zod, Postgres, Kafka/Redpanda, Temporal or comparable). You can read the codebase, make changes when it matters, and produce durable architecture artifacts — ADRs, RFCs, decision documents — that someone six months from now can act on.
• Direct experience leading rooms of senior client or executive stakeholders — consulting, enterprise customer engineering, field architecture, or technical pre-sales. You can translate "the engagement is slipping" into a technical control loop and back again.

Nice to have: 

• Background in professional services, agency operations, or management consulting — you understand engagement economics from the inside.
• Observability experience (OpenTelemetry, distributed tracing) at a depth that lets you design for it, not just consume it.
• Architecture decisions on AI-native or LLM-integrated systems — model gateways, agent orchestration, prompt versioning, or evaluation pipelines.
• Experience in compliance-conscious environments (SOC 2, HIPAA, GDPR) where audit trails and data residency are first-class concerns.
• Public writing, conference talks, or open-source contributions that show how you think.

What you’ll be doing in this role:

• Own the architectural coherence of the platform, ADR backlog, architecture reviews, system shape diagrams, the canonical event envelope, the tenant isolation model. You hold the line on invariants and write down why.
• Define integration patterns for every external system, identity providers, CRMs, project tools, communication systems, AI providers. You decide how we connect, not just whether.
• Build and own client deployment patterns, repeatable playbooks from "first connector" to "first signal" to "first governed action." You author them, run the first few personally, and abstract them into reusable configurations as you go.
• Lead pre-deployment architecture sessions with client technical teams, translating their identity infrastructure, data model, permissions, and compliance posture into a deployment plan the build team can execute.
• Carry the technical narrative externally. You can sit across from a client CTO, walk them through the architecture, defend it under pressure, and adjust where the pressure is legitimate.
• Mentor the founding engineering team on architectural reasoning, not by lecturing, but by showing your work in ADRs, reviews, and the way you make trade-offs visible.

You should not apply if:

• You want to architect from a whiteboard and hand off to others. We write code, we read code, and we ship.
• Client conversations drain you. Half this job is in front of people who don't speak fluent engineering.
• You need consensus before deciding. We move with strong opinions, loosely held — emphasis on strong.

Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.

Apply today or check out all our opportunities!

#LI-Hybrid

Applicants must be currently authorized to work in the United States on a full-time basis. The company does not anticipate providing sponsorship for employment visa status (e.g., H-1B, TN, etc.) for this individual position.

IT Infrastructure Engineer

Reports to: IT Infrastructure Engineering Senior Manager

FLSA Status: Full time

The Company

Meriton is a national investment holding company with a portfolio of companies in the commercial HVAC industry.  Founded in 2019, we believe merit has everything to do with standards and that nothing is beyond or beneath us.  We base those standards around a set of values that we hold tightly to, ensuring we are building the right thing, at the right time, with the right people.  We know that business is earned – never given – and that’s why we’re serious about what we do.  Working together, we’ll co-create lasting growth by defining big visions and hammering down little details.  Our resources streamline business processes and provide access to a network of teams with extensive industry experience.

The Opportunity

We are seeking a highly skilled and motivated IT Infrastructure Engineer to oversee the company's IT infrastructure, ensuring its stability and efficiency while engineering effective solutions.  This role combines hands‑on execution with engaging external technology partners, as needed, to help implement and embed our IT standards within a portfolio company.  The IT Infrastructure Engineer is also responsible for supporting gap assessments by identifying where a portfolio company does not meet a given standard and helping to address and close those gaps.  Additional responsibilities include building projects such as implementing audio visual solutions for conference rooms and other workspaces, meeting building security requirements including access control and camera systems, addressing low‑voltage needs, and installing network equipment, printers, and other technology equipment as required.  They possess excellent interpersonal and communication skills, both oral and written, and can articulate ideas to both technical and non-technical audiences. 

Responsibilities

• Engineer and maintain IT systems and infrastructure.
• Create and maintain IT infrastructure roadmaps.
• Research and evaluate new infrastructure technologies and services, performing PoCs and pilots where appropriate.
• Collaborate with DevOps, Service Delivery, and Cyber Security teams to design infrastructure that meets performance, reliability, and security requirements.
• Deliver internal training or knowledge sharing sessions on infrastructure tools and processes.
• Provide infrastructure impact assessments for proposed changes and new applications.
• Provide technical input on RFPs and vendor selection related to infrastructure services and solutions.
• Maintain awareness of emerging infrastructure trends and recommend adoption where beneficial.
• Participate in governance forums or CABs as needed to represent infrastructure interests and risks.
• Act as a subject matter expert for infrastructure topics to IT leadership and business stakeholders, advising on feasibility and risk.
• Assess, plan, and execute the transition of network infrastructure to align with company standards. This includes hardware, software, and network configuration.
• Work closely with internal and external stakeholders, including IT teams, vendors, and new company representatives, to ensure successful project execution.
• Identify and mitigate potential risks and issues related to the onboarding and transition process.
• Create and maintain comprehensive documentation for all projects, including project plans, network diagrams, system documentation, architecture diagrams, transition procedures, and standard operating procedures.
• Perform Layer 2 and Layer 3 network troubleshooting and optimization to ensure seamless communication across devices and applications.
• Coordinate with ISPs to address connectivity issues and oversee circuit upgrades or installations.
• Train end users in the use of equipment and software.
• Perform system administration for various enterprise tools and platforms.

Qualifications

• Minimum 5 years of experience in an IT services support role.
• Associate’s degree preferred.
• In-depth knowledge of network infrastructure, including routers, switches, firewalls, and wireless networks.
• Strong PowerShell experience preferred.
• Strong Office 365 administration experience preferred.
• Strong Azure and Windows Server experience.
• Strong knowledge of TCP/IP - LAN, WAN, wLAN and vLAN technologies.
• Strong knowledge of MS Active Directory infrastructure.
• Familiarity with IP Telephony and cell phone technology.
• iOS experience preferred.
• Excellent analytic and problem-solving skills.
• Capable of working independently with minimal supervision.

Additional Information

This position requires travel to Meriton locations and customer sites across the U.S.

This job description is not intended to be all-inclusive; employees may perform other related duties as negotiated to meet the ongoing needs of the organization.

Meriton is an Equal Opportunity Employer. 

Machine Learning Engineer – Inspire11

Elevens, as we call ourselves here, are curiously smart, purposefully scrappy, and dedicated to the highest standard of quality. By being true to ourselves and others, we create a respectful environment that enhances collaboration, drives growth through high expectations, and ensures alignment with our core values. Inspire11 is more than a modern business and technology consulting firm; we're a revolution. We work differently — and it shows. Every move we make is tied to measurable value, and our success aligns with our clients’ success. We partner to simplify the complex, solve sustainably, and stay ahead by continuously pushing our own thinking forward. Value creation isn't something we talk about — it's something we live, every day. 

At Inspire11, we're not just offering a job; we're providing a platform for you to transform the future. You'll feel right at home here if you think differently, build boldly, and lead with impact. We're a place where your unique perspective is valued, your boldness is celebrated, and your potential is unleashed. 

• Growth Through Challenge:  We hold ourselves to the highest standards of excellence and accountability. At Inspire11, we are committed to delivering exceptional results and empowering our employees to take ownership of their work and drive meaningful impact. You'll work alongside elite consultants who challenge you to expand your skills and think even more creatively. 

• The Autonomy to Do Your Best Work: Here, outcomes matter more than outputs. It's about the value we create. You'll have the autonomy to shape your work, drive decisions, and make an impact—not just for our clients but for your growth. You'll be challenged to think strategically, anticipate needs, and solve problems. Bold thinking, creative approaches, and challenging conventional wisdom are part of our DNA. Our clients rely on us to lead them into what's next. 

• Diverse Perspectives Driving Innovative Solutions: We champion inclusivity and authenticity, knowing that diverse perspectives drive better solutions. You'll be encouraged to bring your whole self to work, knowing that's where true innovation happens. We also believe that doing great work should be fun. Our culture thrives on energy, camaraderie, and appreciating the unique contributions that make Inspire11 an amazing place. Our teams get energy from being the best they can be. 

 What you can expect in this role: 

• Designing scalable machine learning infrastructure, including implementing CI/CD pipelines for model deployment
• Monitoring models in production
• Developing Generative AI solutions
• Ensuring security and compliance
• Preprocessing and analyzing datasets
• Developing and fine-tuning ML models to optimize for performance
• Communicating results to stakeholders 

Tools for success: 

• Exhibit strong software engineering principles
• Proficiency in cloud architecture (AWS, Azure, GCP)
• Familiarity with CI/CD and DevOps
• Expertise in data preprocessing and ML techniques
• Experience with model evaluation and libraries like TensorFlow, PyTorch
• Proven experience in ML engineering
• Strong programming skills (Python, R)
• Cloud services and infrastructure knowledge
• Agile methodologies understanding 

Inspire11 is unable to sponsor employment visas at this time. Applicants must be legally authorized to work in the U.S. at the time of application and throughout the duration of employment. 

Inspire11’s Privacy Policy: https://www.inspire11.com/privacy-policy/  

U.S. Compensation & Benefits  

Compensation at Inspire11 
Inspire11 follows Title VII of the Civil Rights Act of 1964, the Equal Pay Act of 1963, the Illinois Human Rights Act, the Illinois Equal Wage Act, and the Illinois Equal Pay Act of 2003. We believe that people performing the same role at the same level, with similar levels of ability or experience, should be similarly compensated. We also believe that the most critical factors driving compensation should be an Eleven’s skill, experience, performance, responsibility, and effort. We may also consider an employee’s length of service, relevant education, training, or certification, and the requirements of a specific job. We may also consider whether the cost of living or competition for talent in specific markets requires adjustments in compensation for employees in those markets. Our goal is to fairly compensate all our Elevens based on these factors within the Company’s financial ability.   

Compensation may be increased or decreased at Inspire11’s discretion based on an employee’s performance reviews, market conditions, and the Company’s financial performance. Inspire11 will always notify an employee in writing before any change is made to their compensation.  

Bonuses 
We may allow employees in Sales, Recruiting, or Leadership to earn periodic bonuses based on sales, revenue, client-specific or practice-specific targets. These targets are communicated to each eligible employee via offer letter or annual update. All such target-based bonuses are calculated based on the Company and an individual’s periodic performance and will only be awarded if: (a) the employee is meeting performance expectations and is an employee in good standing of the Company; (b) the target is met; and (c) the Company’s current financial performance and market conditions permit the bonus to be paid out. All periodic bonuses are discretionary and are earned only when paid out.   

Each year, the Company will decide whether the Company’s financial performance, market performance, and business realities allow it to create an annual bonus pool. If the Company decides that annual bonuses may be awarded, then the Leadership Team will grant annual bonuses to employees in good standing based on the same factors discussed in the previous paragraph while also considering employees’ diligence, performance, expertise, skill, judgment, and experience. To be eligible to participate in this annual bonus pool, an employee must be hired by no later than October 1st of the preceding year. Annual bonuses and merit increases may be prorated based on hire date. Employees eligible for target-based periodic bonuses are not eligible to participate in the annual bonus pool.   

Options or Other Equity in Inspire11 
Inspire11 has a legacy program that allowed certain high-performing employees to purchase shares of the Company through an affiliate. The Company also has a newer program that grants options annually to high-performing employees based on their performance reviews, their managers’ recommendation, and leadership approval. These options have a vesting period associated with them.  

Benefits 
Full-time employees are eligible for the following contributory benefits, where premiums are partially paid by the Company and partially by the employee:   

• Medical insurance plans, 
• Dental insurance plans, and  
• Vision insurance plans.  

Full-time employees are eligible for the following benefits provided wholly by the Company:  

• Short-term disability, providing for a benefit of 60% of an employee’s salary up to a maximum of $2,000 per week for up to 11 weeks after a 7-day waiting period; 
• Long-term disability, providing for 60% of an employee’s salary up to a maximum of $10,000 per month for the time period from the 91st day after a qualifying event through the earlier of the end of the disability or age 67; 
• Life insurance, providing for a benefit of two times the employee’s annual salary, up to a maximum payout of $400,000;   
• A connectivity stipend of $325 annually; 
• Employee Assistance Program, providing for confidential counseling sessions, 24-hour crisis support, online peer support groups, skills training, behavioral health coaching, initial free legal consultations (and discounted rates on referred lawyers), online legal forms, assistance with eldercare and parenting services, among other things.  

Full-time employees are also eligible to participate in the Company’s 401(k) plan, which allows employees to contribute to a standard or Roth IRA. According to a vesting schedule, the Company matches 100% of employee contributions up to 3% of an employee’s salary.  

Depending on eligibility and their elections, full-time employees may also have access to certain tax-advantaged savings accounts set up through the Company, into which employees contribute withheld funds:   

• Flexible savings accounts
• Limited-purpose flexible savings accounts  
• Healthcare savings accounts
• Dependent care savings accounts  
• Commuter benefit accounts  

Paid Time Off and Leave 
Inspire11 grants all eligible employees any statutory leave required by federal, Illinois, or other applicable law, such as FMLA, bereavement, sick leave, emergency leave, jury duty or witness leave, and VESSA leave.   

In addition, Inspire11 has a self-managed paid time off policy (PTO) that does not set predetermined upper limits on the amount of PTO an employee may take. All PTO must be requested in advance and approved by the appropriate supervisor to ensure client work can continue. All full-time employees are expected to take a minimum of one week of PTO each year.   

Inspire11 offers paid parental leave to full-time employees who have been with the company for at least one year. Birthing parents are eligible for up to 12 weeks of paid parental leave, while non-birthing parents are eligible for up to 6 weeks. Short-term disability (STD) benefits are also provided following childbirth. When combined with PTO and STD, birthing parents may receive a total of 18–20 weeks of paid leave. Lastly, Inspire11 has eight paid holidays.  

Other Benefits 
Inspire11 also maintains other programs that provide additional benefits to employees, such as:   

• Impact to 11: a charitable giving matching program where, after being employed by Inspire11 for a year, employees may request that a qualifying charity receive up to $500 in matching donations each year. 
• Professional development benefits for qualifying employees: a program allowing for reimbursement of certain course materials and costs on a discretionary basis for employees who have been at Inspire11 for at least 6 months, with supervisor’s approval. 
• Regular gifts of Inspire11 clothes, office items, and swag.  

Disclaimer 
This document applies only to the United States and to Inspire11 LLC, not our worldwide partners.  

Inspire11 reserves the right to change the benefits offered to employees in accordance with applicable law based on business needs, market conditions, and financial stability. Before changing any benefits, Company will notify all employees of the change and will update this document.  

EEOC 
Inspire11 is an Equal Opportunity Workplace and an Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. If you need assistance or a reasonable accommodation during the application process, please contact us at hr@inspire11.com, or inform your recruiting partner.  

Team Description:

Join the Quality Systems Team, where our mission is to ensure compliance with applicable regulatory standards by designing scalable, efficient, and automation-driven systems. We focus on embedding compliance directly into engineering workflows rather than treating it as a manual or reactive function.

We are a team of industry-experienced professionals who apply systems thinking and creative problem-solving to build a durable compliance infrastructure that supports rapid development. Our vision is to establish internal design and quality systems that exceed FDA expectations while enabling fast iteration and deployment of complex, safety-critical software products.

Job Description and Responsibilities:

Please note, this is a duplicate posting for the "Quality Systems Engineer" role. We are testing titling to see which attracts the most qualified candidates. Please only apply to one of the postings. 

As a Design Controls Engineer, your primary responsibility will be to design, implement, and continuously improve software-focused design control systems with regulatory compliance embedded into their architecture.

You will build systems that eliminate ambiguity, reduce manual effort, and enable rapid and reliable development of regulated medical device software. These systems will support the full software lifecycle, from requirements definition through verification, validation, risk management, and release.

You will continuously optimize these systems to improve speed, traceability, and audit readiness while supporting aggressive development timelines and frequent design changes. Your responsibilities include, but are not limited to:

• Design and implement scalable software design controls systems aligned with IEC 62304 and FDA design control requirements (21 CFR 820.30)
• Develop and maintain end-to-end traceability frameworks linking:
• User needs
• Software requirements
• Risk controls
• Design outputs (code, architecture)
• Verification and validation evidence
• Integrate software risk management into design controls, ensuring alignment with ISO 14971 principles
• Build change control mechanisms capable of supporting:
• Rapid iteration
• Parallel development
• Same-day deployment
• Partner closely with software engineering teams to embed:
• Compliance with CI/CD pipelines
• Automated evidence generation
• Controlled release processes
• Own subsets of the Quality System related to software design controls, including but not limited to:
• Software Design Control processes
• Software Risk Management
• Software Change Control
• Software Verification & Validation traceability

Required Qualifications: 

• Bachelor’s degree in Electrical Engineering, Computer Science, or a related technical field
• Demonstrated experience designing or maintaining structured engineering or compliance systems
• Familiarity with software development lifecycles in regulated or safety-critical environments
• Working knowledge of:
• Design Controls
• Software requirements management
• Proficiency in basic scripting, automation, or querying (e.g., Python, SQL, or equivalent)
• Excellent written and verbal communication skills
• Strong problem-solving mindset with the ability to think in systems rather than silos

Preferred Qualifications:

• Familiarity with IEC 62304 (Medical Device Software Lifecycle Processes)
• Familiarity with FDA Design Controls (21 CFR 820.30)
• Familiarity with Design Risk Management (ISO 14971 principles)
• 1–3 years of experience in:
  • Design Controls
  • Software Quality
  • Regulated software development

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

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

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

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

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

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

Team Description:

Join the Quality Systems Team, where our mission is to ensure compliance with applicable regulatory standards by designing scalable, efficient, and automation-driven systems. We focus on embedding compliance directly into engineering workflows rather than treating it as a manual or reactive function.

We are a team of industry-experienced professionals who apply systems thinking and creative problem-solving to build a durable compliance infrastructure that supports rapid development. Our vision is to establish internal design and quality systems that exceed FDA expectations while enabling fast iteration and deployment of complex, safety-critical software products.

Job Description and Responsibilities:

As a Quality Systems Engineer (dedicated towards Design Controls), your primary responsibility will be to design, implement, and continuously improve software-focused design control systems with regulatory compliance embedded into their architecture.

You will build systems that eliminate ambiguity, reduce manual effort, and enable rapid and reliable development of regulated medical device software. These systems will support the full software lifecycle, from requirements definition through verification, validation, risk management, and release.

You will continuously optimize these systems to improve speed, traceability, and audit readiness while supporting aggressive development timelines and frequent design changes. Your responsibilities include, but are not limited to:

• Design and implement scalable software design controls systems aligned with IEC 62304 and FDA design control requirements (21 CFR 820.30)
• Develop and maintain end-to-end traceability frameworks linking:
• User needs
• Software requirements
• Risk controls
• Design outputs (code, architecture)
• Verification and validation evidence
• Integrate software risk management into design controls, ensuring alignment with ISO 14971 principles
• Build change control mechanisms capable of supporting:
• Rapid iteration
• Parallel development
• Same-day deployment
• Partner closely with software engineering teams to embed:
• Compliance with CI/CD pipelines
• Automated evidence generation
• Controlled release processes
• Own subsets of the Quality System related to software design controls, including but not limited to:
• Software Design Control processes
• Software Risk Management
• Software Change Control
• Software Verification & Validation traceability

Required Qualifications: 

• Bachelor’s degree in Electrical Engineering, Computer Science, or a related technical field
• Demonstrated experience designing or maintaining structured engineering or compliance systems
• Familiarity with software development lifecycles in regulated or safety-critical environments
• Working knowledge of:
• Design Controls
• Software requirements management
• Proficiency in basic scripting, automation, or querying (e.g., Python, SQL, or equivalent)
• Excellent written and verbal communication skills
• Strong problem-solving mindset with the ability to think in systems rather than silos

Preferred Qualifications:

• Familiarity with IEC 62304 (Medical Device Software Lifecycle Processes)
• Familiarity with FDA Design Controls (21 CFR 820.30)
• Familiarity with Design Risk Management (ISO 14971 principles)
• 1–3 years of experience in:
  • Design Controls
  • Software Quality
  • Regulated software development

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

Team Description:

The EPC team is responsible for all aspects of engineering, procurement, and construction ranging from greenfield site developments to tenant improvements at existing facilities at Neuralink. We regularly interface with cross-functional teams to identify their short and long term needs and provide purpose-built spaces for the future growth of our research and engineering teams.

We are looking for high-energy individuals who are comfortable working in a rapidly changing environment, who like to promote a culture of teamwork and clear honest communication, and have a genuine passion for design and construction. This position requires a highly organized mindset, an ability to perform at a high level on a consistent basis, a desire to work on multi-disciplinary projects, and an excitement to work at Neuralink!

Job Description and Responsibilities:

As a part of the design team, the senior mechanical engineer will create and optimize facilities by bringing conceptual designs to life, producing cutting-edge detailed designs of HVAC, hydronic (chilled water and heating water), plumbing, and process utility systems that are fully integrated with facilities and manufacturing processes. Work includes design of new construction and upgrades and alterations to existing facilities and infrastructure. This position supports construction, facilities, and cross-functional departments in ensuring optimally designed infrastructure systems to support all company functions.

• Scope, create conceptual designs, and produce final designs for a variety of project types for our offices, laboratory, clean room, manufacturing facility, warehouse, data center, vivarium, and animal care facilities
• Create high-quality BIM (REVIT) models, engineering drawings, and one-line diagrams for all mechanical, plumbing, and process systems
• Design HVAC, hydronic, plumbing, and process utility systems that are code-compliant, cost-effective, and to meet quality and schedule requirements.
• Build full construction drawing packages that include details, specifications, and sequences of operations
• Produce BAS and DDC controls documents, scopes of work, and vendor quotes
• Develop specifications, data sheets, and procurement RFPs for long lead mechanical and plumbing equipment
• Utilize relevant codes to ensure designs are code-compliant based on location-specific AHJ requirements
• Actively lead collaborative design efforts that include interfacing with architects and engineers across multiple disciplines
• Interface with the Neuralink construction team for constructability reviews
• Generate high-level cost estimates with material takeoff information
• Review and respond to contractor-generated RFIs and submittals

Required Qualifications: 

• Bachelor’s degree in mechanical engineering
• 5+ years of mechanical engineering industry experience
• Evidence of exceptional ability
• Professional Engineering License: Current possession of a Texas and/or California license, or the ability to obtain a Texas and/or California license within six months
• Expert Knowledge of AutoCAD and/or REVIT MEP
• Experience designing a cleanroom

Preferred Qualifications: 

• Experience in designing offices, laboratories, manufacturing facilities, and in the development of site infrastructure
• Working knowledge of industry software, such as Microsoft products, COMcheck, Carrier HAP, Trane Trace, Navisworks, and Bluebeam
  

Team Description:

The Data Engineering Team works closely with other teams—neuroscientists, physicists, roboticists, chip designers, pathologists, and mechanical engineers—to build Neuralink’s centralized data aggregation and analysis platform. This data platform collects, organizes, and visualizes a diverse set of data ranging from neural signal recordings and brain histology images to microfabrication manufacturing data. Our team owns projects that drive engineering and experimentation at Neuralink.

We operate like an internal startup – rapidly prototyping and building software that solves problems for the company. If you are obsessed with smooth user experience and love to iterate rapidly on software, you may be a good fit for this role!

 See a talk on our data platform, Neuralake, below:

Job Description and Responsibilities:

As a Software Engineer on the Data Engineering Team, you will have the opportunity to impact engineering and experimentation at Neuralink. You will fully own and drive projects, from interfacing with stakeholders and gathering requirements, to delivering exceptional software. Our ideal candidate has accomplished a record of outstanding achievement in software engineering. Additionally, you will be expected to:

• Build end-to-end data systems to facilitate the easy querying of data
• Build and maintain low-latency pipelines and batch data processing jobs
• Create easy-to-use dashboarding platforms for internal data sharing
• Work directly and iteratively with stakeholders to grow MVPs into mature solutions
• Own the design, development, and testing of software development projects
• Deliver results. You may enjoy thoughtful conversations about problems and perfecting designs, but in the end, you know that what matters is delivering a solution that works
• Be a cross-disciplinary team member. You are excited to work with and learn from software, mechanical, electrical, materials, and biological engineers, as well as neuroscientists. You are comfortable communicating across teams.
• Be resourceful, flexible, and adaptable; no task is too big or too small

Jobs at Neuralink are highly dynamic; depending on your skills and our needs, you may work across a wide range of projects, from interpreting neural data to analyzing histology, developing surgical tools, or creating brand-new BCI approaches. Successful candidates will be highly adaptable, able to deploy core technical and creative skills to tackle a wide range of problems, and have a keen sense of urgency.

Required Qualifications: 

• Most important: Demonstrated leadership in delivering a product or feature, either as a team leader or key contributor
• Evidence of exceptional ability in software engineering
• A bachelor’s degree in Computer Science or equivalent demonstrated work experience
• 1-2 years of experience leading teams and owning the success of a product
• Excellent written and verbal communication skills
• Experience understanding requirements and delivering in an interactive manner
• Experience understanding requirements and delivering iteratively

Preferred Qualifications:

• Experience with building data platforms
• Experience with Python and Rust
• Experience with data analytics systems such as Clickhouse, Delta Lake, Apache Spark, Hadoop, or Snowflake

Note: You do not need to have any of these preferred qualifications in order to be considered for this role! Any exceptional software engineer is encouraged to apply.

Team Description:

The Brain Interfaces Software Team is responsible for the end to end software stack that manages implant communication, verification, manufacturing and monitoring. We own client side SDKs and full-stack platforms that are used by various divisions within the company. We are looking for versatile engineers who are interested in architecting and implementing elegant software solutions and who thrive with the autonomy to propose creative approaches to problems. 

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 Responsibilities:

As a Software Engineer on the Brain Interfaces Software Team, your responsibilities will encompass:

• Developing and improving Neuralink’s Implant and Charger SDK
• Maintaining Neuralink’s brain interface software and firmware build tooling
• Developing and improving Neuralink’s Implant manufacturing line acceptance software
• Maintaining Neuralink's Implant design control verification testing software
• Developing and improving Neuralink’s Implant recorder system
• Developing and improving Neuralink’s Implant monitoring system

Required Qualifications:

• Fluent in Python and C or Rust (don’t get hung up on this—being an exceptional software engineer matters above all)
• Experience (and comfortable) with the Linux/Unix systems and command line
• Evidence of exceptional ability in engineering, mathematics, or computer science
• Strong understanding of engineering first principles
• Strong intuition for what matters in a production system (vs. research-grade)

Preferred Qualifications:

• Prior experience developing software for safety-critical systems
  

About You:

• You find large 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 what matters is delivering reliable solutions. (Our ultimate aim is to help people; the “right” solution doesn’t always achieve that)
• You are mission-driven and goal-oriented in your approach to solving problems
• You feel a sense of urgency to get things done sooner rather than later—because there is so much we, as people, can contribute to the world and accomplish in this life, it’s a shame to waste time
• You are resourceful, flexible, and adaptable; no task is too big or too small

Team Description:

Join the Brain Interfaces Software Team and be part of a team of remarkable and driven engineers accelerating our pathway to human ready brain-computer interfaces. We are a small, but fast-moving team that collaborates with other exceptional teams of mechanical, electrical, and firmware engineers.

Neuralink strives to be, as much as possible, 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 & Responsibilities:

We are looking for a versatile Software Engineer who is passionate about architecting and implementing elegant software solutions and thrives with autonomy to propose creative approaches to problems. You will be responsible for writing software to interact with Neuralink’s implant, as well as building systems for manufacturing and testing the device. Additionally, you will be expected to:

• Develop and improve Neuralink’s implant manufacturing line acceptance software and station
• Develop and improve Neuralink's implant design verification testing software
• Optimize and maintain Neuralink’s implant software build infrastructure
• Develop and improve Neuralink’s implant SDK

Required Qualifications:

• Fluent in Python and at least one system language including Rust, C++, and C (don’t get hung up on this—being an exceptional software engineer matters above all)
• Experience and proficiency with Linux/Unix systems
• Evidence of exceptional ability in engineering, mathematics, or computer science
• Solid understanding of engineering first principles
• Strong intuition for what matters in a production system vs. research-grade environments

Additional Requirements and Competencies:

• You find large 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 what matters is delivering reliable solutions (Our ultimate aim is to help people; the “right” solution doesn’t always achieve that)
• You are mission-driven and goal-oriented in your approach to solving problems
• You feel a sense of urgency to get things done sooner rather than later—because there is so much we, as people, can contribute to the world and accomplish in this life, it’s a shame to waste time
• You are resourceful, flexible, and adaptable; no task is too big or too small

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.

We are seeking a software-engineering intern who learns rapidly, has strong programming fundamentals, and can pick up projects spanning surgical robotics, implant communication, manufacturing automation, cloud infrastructure, and BCI software.

If you have clear evidence of exceptional ability, strive in a hardcore environment, and crave ownership over technology that is changing lives, join us.

Team Description:

The Brain Interfaces Software Team is responsible for the end to end software stack that manages implant communication, verification, manufacturing and monitoring. We own client side SDKs and full-stack platforms that are used by various divisions within the company. We are looking for versatile engineers who are interested in architecting and implementing elegant software solutions and who thrive with the autonomy to propose creative approaches to problems. 

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 Responsibilities:

As a Software Engineer Intern on the Brain Interfaces Software Team, your responsibilities will encompass:

• Developing and improving Neuralink’s Implant and Charger SDK
• Maintaining Neuralink’s brain interface software and firmware build tooling
• Developing and improving Neuralink’s Implant manufacturing line acceptance software
• Maintaining Neuralink's Implant design control verification testing software
• Developing and improving Neuralink’s Implant recorder system
• Developing and improving Neuralink’s Implant monitoring system

Required Qualifications:

• Fluent in Python and C or Rust (don’t get hung up on this—being an exceptional software engineer matters above all)
• Experience (and comfortable) with the Linux/Unix systems and command line
• Evidence of exceptional ability in engineering, mathematics, or computer science
• Strong understanding of engineering first principles
• Strong intuition for what matters in a production system (vs. research-grade)

Preferred Qualifications:

• Prior experience developing software for safety-critical systems
  

About You:

• You find large 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 what matters is delivering reliable solutions. (Our ultimate aim is to help people; the “right” solution doesn’t always achieve that)
• You are mission-driven and goal-oriented in your approach to solving problems
• You feel a sense of urgency to get things done sooner rather than later—because there is so much we, as people, can contribute to the world and accomplish in this life, it’s a shame to waste time
• You are resourceful, flexible, and adaptable; no task is too big or too small

Team Description:

The internal apps team works closely with other teams — neuroscientists, physicists, chip designers, pathologists, and mechanical engineers — to build Neuralink's centralized data aggregation and analysis platform. This data platform collects, organizes, and visualizes a diverse set of data ranging from neural signal recordings and brain histology images to experimental and operational data. Our team owns projects that drive engineering and experimentation at Neuralink.

We operate like an internal startup — rapidly prototyping and building software that solves problems for the company. This usually takes the form of full-stack tools, but can be any tech stack.

We operate as a tight, high-trust team. You'll have direct ownership and the autonomy to solve hard problems, but also high expectations.

We're moving fast to meet clinical demand and keep up with deployments. 60-hour weeks are not uncommon, and there are stretches where the pace is high. This isn't for everyone.

Job Description and Responsibilities:

This is a high-autonomy, high-ownership internship. You will work directly alongside engineers and scientists to build software that has immediate, tangible impact on Neuralink's mission. Some days you're heads-down writing code all day. Other days you're pairing with engineers across the company to understand a new workflow and figure out how to build the right tool for it.

We are looking for versatile software engineers who are interested in architecting and implementing elegant software solutions and thrive with the autonomy to propose creative approaches to problems. 

As an intern, you will work on applications to make Neuralink 100x faster, such as:

• Data platforms to collect, organize, and visualize a diverse set of data ranging from neural signal recordings, device telemetries, surgery recordings, to experimental data
• Lab Systems software, our digital collaboration hub for all teams within the company
• ERP software that orchestrates and tracks everything involved in designing brain-computer interfaces
• DevOps and infrastructure to increase developer productivity

Neuralink strives to be, as much as possible, a meritocratic environment: we require honest and transparent communication to ensure the best ideas win out. Additionally, we believe the best solutions emerge and the best teams form when you assemble high-performing individuals with different skill sets and perspectives, 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!

Required Qualifications:

• Demonstrated experience shipping a product that has been actively used, regardless of tech stack or domain
• Full-stack engineering capability (Ruby on Rails and React/TypeScript preferred, though adaptability matters more)
• Ability to design and implement simple and elegant software solutions
• Strong communication and collaborative problem-solving abilities
• Ownership mentality and comfort with ambiguity
• Understanding of how software works at a fundamental level

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

Team Description:

The Pathology and Digital Imaging team enables the rigorous preclinical studies our devices go through before reaching a user. Testing is precise; analyzing tissue to understand exactly what happened at the cellular level. This team is crucial for proving  safety, improving our  device, and pushing  science forward.

Histological analysis has shown that Neuralink's threads preserve 98% of neurons at the implant interface. The Pathology and Digital Imaging Team makes these kinds of analyses possible.

This is a small, tightly knit team, and you'll work directly with pathologists, technicians, and neuroscientists. You'll watch them use your software, hear what's slow, see what's confusing, and ship fixes and features fast. The feedback loop is measured in hours, not sprints.

Job Description and Responsibilities:

As a Software Engineer on the Pathology and Digital Imaging Team,  you'll own the software stack that powers Neuralink's pathology and histology operations. This spans the full lifecycle - from the moment tissue is collected at necropsy, through processing, staining, and imaging.

You’ll build the software that makes this analysis scalable: tracking thousands of tissue specimens from collection through microscopic analysis, giving scientists the tools to analyze billion-pixel images, and building AI tools to auto-analyze tissue response. Projects you will work on: 

• Tissue specimen tracking systems that follow samples, organ blocks, and slides through every step of the histology workflow
• A high-performance whole-slide image viewer that renders billion-pixel microscopy images in the browser
• Annotation and analysis tools that let scientists draw regions of interest, score pathology findings, and compare serial sections with image alignment and overlay
• ML annotation pipelines where model predictions are surfaced to scientists for validation, accelerating the analysis of large tissue datasets

Required Qualifications: 

• A bachelor’s degree in Computer Science or equivalent demonstrated work experience
• Strong full-stack engineering skills. Our stack is Ruby on Rails and React/TypeScript, but we care more about your ability to learn and ship than your resume matching our package.json
• You've built software that real people use
• You can talk to users, understand their problems, and translate that into well-built software. This role is deeply collaborative
• You take ownership. When your software breaks on the floor, you fix it
• You're comfortable with ambiguity. Manufacturing at this scale hasn't been done before for this kind of device

We are thrilled to announce an opportunity for a Field Superintendent to join our team and support the construction of some of the most challenging and exciting projects in the Southwest. This includes innovative and impactful work in commercial, industrial, mission-critical, and water/wastewater treatment facilities. If you are passionate about leading dynamic teams and driving excellence in construction, we want to hear from you!

Responsibilities 

• Emphasizes a culture of exceptional safety and best-in-class quality to all foremen and craft, including associated trade partners. 
• Responsible for supporting and developing Foremen, including fostering a positive environment for our craft and trade partners to prosper. 
• Provides guidance and support to the Field Engineer regarding survey and layout needs, including providing a schedule as to when such work is required. 
• Assists the Project Superintendent with project schedule development and maintenance, including pull plans, look-ahead schedules, and implementation of the Last Planner System 
• Prepares work plans for critical work and facilitates detailed reviews of such plans with the Field Engineer and Foreman 
• Understands budgeted values for labor, equipment, and consumables; responsible for collaboratively planning work with the Foremen to be commercially successful. 
• Responsible for ensuring efficient crew sizing and makeup is always present and adjusting when necessary. 
• Ensures Foremen are promptly and accurately completing all necessary reports and documentation for their crews (timesheets, daily reports, safety/quality forms, employee evals etc.) 
• Leads coordination and Support for all QC processes for their specific scope or assigned project. 
• Actively participates in daily and weekly project meetings. 
• Promptly reports field issues to the Field Engineer and Project Superintendent 
• Assists this Field Engineer with the development of lift drawings. 
• Develops rapport with owners, clients, engineers, and trade partners while ensuring contractual compliance with all parties. 
• Planning and safe execution of Hazardous energy control, T&E, Working at Heights, and confined space. 

Qualifications   

• Working knowledge of all aspects of construction and industry practices, processes, standards, and their impact on project activities 
• Ability to multi-task, collaborate with others, set priorities, and take initiative. 
• Demonstrated success supporting a team through complex project execution. 
• Experience leading project teams and holding them accountable to project goals. 
• Excellent organizational, verbal, written, presentation skills are a must. 
• Proficiency with Microsoft Office Suite (Outlook, Word, Excel, PowerPoint, etc.) 
• STSC trained. 
• Proficiency with Primavera P6 scheduling software a huge plus. 
• Positive and teachable attitude. 
• Possesses excellent organizational, verbal, written and presentation skills. 

Education & Certifications 

• OSHA 30 Certification 

Safety Level
This is a safety sensitive position, and all applicable policies including drug test and background check will apply.

• The inherent responsibilities of your role may include physical working conditions. In order to safely and successfully perform job duties you must be able to:  
• Potentially lift up to 50 pounds 
• Potentially need to do repeated pushing, pulling, carrying, reaching (or working above shoulder), walking, standing, sitting, stooping, kneeling, bending, and climbing  
• Potentially operate a motor vehicle, crane, tractor, etc.  
• We reserve the right to continually monitor your ability to safely and successfully complete these inherent physical responsibilities and take action as deemed appropriate in accordance to the Americans with Disability Act (ADA)

 #CORBIND1

We are seeking a Field Superintendent to support some of the most innovative, complex, and large-scale data center and mission-critical construction projects in the country. If you are passionate about leading dynamic teams and driving excellence in construction, we want to hear from you!

Per Diem Available for This Role — Apply today and ask your recruiter for details.

Responsibilities 

• Emphasizes a culture of exceptional safety and best-in-class quality to all foremen and craft, including associated trade partners. 
• Responsible for supporting and developing Foremen, including fostering a positive environment for our craft and trade partners to prosper. 
• Provides guidance and support to the Field Engineer regarding survey and layout needs, including providing a schedule as to when such work is required. 
• Assists the Project Superintendent with project schedule development and maintenance, including pull plans, look-ahead schedules, and implementation of the Last Planner System 
• Prepares work plans for critical work and facilitates detailed reviews of such plans with the Field Engineer and Foreman 
• Understands budgeted values for labor, equipment, and consumables; responsible for collaboratively planning work with the Foremen to be commercially successful. 
• Responsible for ensuring efficient crew sizing and makeup is always present and adjusting when necessary. 
• Ensures Foremen are promptly and accurately completing all necessary reports and documentation for their crews (timesheets, daily reports, safety/quality forms, employee evals etc.) 
• Leads coordination and Support for all QC processes for their specific scope or assigned project. 
• Actively participates in daily and weekly project meetings. 
• Promptly reports field issues to the Field Engineer and Project Superintendent 
• Assists this Field Engineer with the development of lift drawings. 
• Develops rapport with owners, clients, engineers, and trade partners while ensuring contractual compliance with all parties. 
• Planning and safe execution of Hazardous Energy Control, T&E, Working at Heights, and confined space. 

Qualifications   

• Working knowledge of all aspects of construction and industry practices, processes, standards, and their impact on project activities 
• Ability to multi-task, collaborate with others, set priorities, and take initiative. 
• Demonstrated success supporting a team through complex project execution. 
• Experience leading project teams and holding them accountable to project goals. 
• Excellent organizational, verbal, written, presentation skills are a must. 
• Proficiency with Microsoft Office Suite (Outlook, Word, Excel, PowerPoint, etc.) 
• STSC trained. 
• Proficiency with Primavera P6 scheduling software a huge plus. 
• Positive and teachable attitude. 
• Possesses excellent organizational, verbal, written and presentation skills. 

Education & Certifications 

• OSHA 30 Certification 

Safety Level 

This is a safety sensitive position, and all applicable policies including drug test and background check will apply.

• The inherent responsibilities of your role may include physical working conditions. In order to safely and successfully perform job duties you must be able to:  
  • Potentially lift up to 50 pounds 
  • Potentially need to do repeated pushing, pulling, carrying, reaching (or working above shoulder), walking, standing, sitting, stooping, kneeling, bending, and climbing  
  • Potentially operate a motor vehicle, crane, tractor, etc.  
• We reserve the right to continually monitor your ability to safely and successfully complete these inherent physical responsibilities and take action as deemed appropriate in accordance with the Americans with Disability Act (ADA)

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.

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. 

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. 

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. 

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. 

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.

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. 

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.

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. 

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.
  
  

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.

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.

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.

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.