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. 

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. 

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.

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.  

As a Data Engineer on our BI team, you’ll be a key player in Motive’s growth, delivering the data infrastructure for the AI era. You’ll act as the essential link between complex data and key business domains, delivering the high-quality datasets and semantic models that drive global strategy. This is an exciting opportunity to implement cutting-edge tooling, leverage AI to enhance your workflow, and master a modern data stack in a fast-evolving environment.

This is the perfect role for a "jack of all trades" data practitioner. You’ll design data models, build robust pipelines, manage DevOps and automated systems, and implement AI-driven data tooling. You’ll even get your hands dirty building dashboards and performing deep-dive analysis. If you love working full-stack and owning the entire data lifecycle, you’ll love this role.

What You'll Do:

• Collaborate & Strategize: Partner closely with business stakeholders to understand their challenges and design end-to-end architecture that solves complex business problems.
• Build & Maintain Data Models: Design, develop, and own robust, efficient, and scalable data models in Snowflake and Iceberg using dbt and advanced SQL.
• Orchestrate & Automate: Build and manage reliable data pipelines and CI/CD workflows using tools like Airflow, Python, and Terraform to ensure data is fresh, trustworthy, and infrastructure is version-controlled.
• Champion Data Quality: Implement rigorous testing, documentation, and data governance practices to maintain a single source of truth.
• Enable Analytics & Workflows: Act as the Product Owner and Tech Lead for your data domains, taking responsibility for the end-to-end data product delivery– from raw ingestion to data models enabling analytics and data apps in tools like Tableau and Retool.
• Innovate with AI: Help us build our next-generation data infrastructure by integrating AI capabilities (like Snowflake Cortex AI) to democratize analytics and empower the business.
• Architect Observability: Implement monitoring and alerting frameworks (e.g., dbt packages or  Monte Carlo monitors) to proactively catch "silent" data failures before stakeholders do.

What We're Looking For:

• 6+ years of experience in Analytics Engineering, Data Engineering, or a similar role.
• Deep expertise in SQL and developing complex data models for analytical purposes (e.g., dimensional modeling).
• Hands-on experience with:
  • Data Warehousing: High proficiency in Snowflake (preferred) and experience with Open Table Formats like Iceberg.
  • Data Transformation: dbt
  • Orchestration & ETL: Airflow, Fivetran, Airbyte
  • Cloud Platform: AWS
  • Programming/Ingestion: Python
  • Infrastructure as Code: Terraform
  • AI-Augmented Development: Proficiency using AI coding assistants (Cursor, Copilot, or Claude) to accelerate development and automate routine tasks.
• A strong analytical mindset with a proven ability to solve ambiguous business problems with data.
• Excellent communication skills and experience working cross-functionally.
• Self-starter with the ability to self-project manage work
• A user focus with the ability to understand how a data consumer will use the data products you build

Bonus Points (Nice-to-Haves)

• Experience building semantic models for natural language querying
• Direct experience with advanced Snowflake features (e.g., Snowpark, Cortex AI).
• Experience building visualizations and dashboards in tools like Tableau,  Retool, or Thoughtspot.

Team Description:

The Neuralink Clinical team is at the heart of an ecosystem that merges neuroscience, engineering, and medicine. We work to shape the future of brain-computer interface (BCI) technology through the planning, launch, and execution of groundbreaking human clinical trials. Our team is built on a foundation of excellence, aiming to uphold the highest standards of Good Clinical Practice (GCP) while redefining what’s possible and revolutionizing the way people interact with technology. Through strict compliance with ethical and regulatory protocols, we focus on ensuring the well-being of our trial participants while advancing the frontiers of neuroscience! Every day will bring fresh challenges and unprecedented opportunities to pioneer new approaches in the pursuit of our mission. From navigating regulatory pathways, designing trial protocols and documentation, and executing clinical trials, our team is critical  in translating Neuralink’s BCI technology for clinical use!

Job Description and Responsibilities:

As a Clinical Program Manager, you will be the primary architect of Neuralink’s human clinical trial operations, transforming high-level strategy into rigorous, executable clinical programs. We are seeking a high-autonomy leader who thrives on ambiguity and drives projects to completion with surgical precision. In our hyper-dynamic environment, you aren't just managing timelines—you are building the infrastructure for the future of neurotechnology. You will be expected to:

Strategic Oversight & Relationship Management

• Act as the Principal Lead for complex clinical programs, owning end-to-end delivery and ensuring all milestones align with broader organizational objectives.
• Cultivate High-Stakes Partnerships across internal engineering and regulatory teams, as well as external vendors, strategic partners, and world-class clinical research sites.
• Champion Stakeholder Readiness by overseeing the training and credentialing of cross-functional teams, ensuring every contributor is equipped to operate within the trial’s rigorous requirements.

Operational Excellence & Scalability

• Engineer Scalable Frameworks to expand clinical operations across diverse global geographies, prioritizing safety, quality, and regulatory compliance at every inflection point.
• Lead Commercial & Financial Negotiations with trial sites, driving contract execution, budget optimization, and long-term financial planning to maximize trial efficiency without compromising site engagement.
• Drive Data Intelligence by leading the synthesis and analysis of clinical data to provide actionable insights for program refinement.

Compliance & Regulatory Stewardship

• Navigate Global Regulatory Landscapes to secure study approvals and maintain impeccable standing with Institutional Review Boards (IRB), Research Ethics Committees (REC), and relevant governing bodies.
• Enforce Rigorous Quality Standards, maintaining an expert-level command of Good Clinical Practices (GCP), international regulatory requirements, and site-specific Standard Operating Procedures (SOPs).
• Foster a Culture of Accountability, proactively identifying operational risks and implementing mitigation strategies to ensure the integrity of the clinical program.

Required Qualifications: 

Strategic Leadership & Clinical Expertise

• Extensive Industry Tenure: 7+ years of progressive leadership experience in clinical research, specifically within Class III medical devices, neurology, or high-complexity life sciences.
• Clinical Architecture: Advanced proficiency in clinical study design, endpoint selection, and the development of robust data analysis plans for first-in-human or pivotal trials.
• Regulatory Mastery: Deep technical knowledge of Global Good Clinical Practice (GCP) and international regulatory standards (e.g., ISO 14155, MDR, FDA 21 CFR Part 812).

Data Intelligence & Analytical Rigor

• Quantitative Fluency: Professional experience leveraging statistical methods or programming languages (Python, R) to drive data-led decision-making and trial optimization.
• Complex Problem Solving: Proven track record of interpreting multi-dimensional datasets and translating complex scientific findings into executive-level strategy.
• Meticulous Precision: A high-level of organizational rigor with the ability to manage competing high-priority workstreams in a fast-paced, high-stakes environment.

Communication & Interdisciplinary Integration

• Cross-Functional Catalyst: Demonstrated success leading integration between neural engineering, clinical neurosurgery, and regulatory affairs to achieve unified program goals.
• Scientific Diplomacy: Exceptional written and verbal communication skills, with the ability to distill complex technical and clinical concepts for diverse audiences, from internal engineers to external ethics committees.
• Operational Autonomy: A self-starting leader who initiates critical workstreams independently and maintains a relentless focus on deadline accuracy and operational efficiency.

Mission-Critical Mindset

• High-Stakes Resilience: A documented history of thriving in high-pressure, rapidly evolving environments where pivots are frequent and the margin for error is razor-thin.
• Advocacy & Influence: Strong presence and "scientific diplomacy" skills, with the ability to represent Neuralink’s clinical vision to world-class neurosurgeons, key opinion leaders (KOLs), and global health authorities

Preferred Qualifications: 

Advanced Academic & Technical Background

• Advanced Degree: PhD, MD, or Master’s degree in a relevant field (e.g., Neuroscience, Biomedical Engineering, Clinical Research, or Biological Sciences).
• Neurotech Specialization: Direct experience managing clinical trials for Class III active implantable medical devices (AIMDs), specifically Brain-Computer Interfaces (BCI) or Neuromodulation systems.
• Computational Fluency: Advanced proficiency in Python or R for automated data visualization, clinical dashboarding, or sophisticated statistical modeling.

Strategic Clinical Leadership

• First-in-Human (FIH) Mastery: Proven success in leading Early Feasibility Studies (EFS) and navigating the unique safety and ethical rigors of pioneering human trials.
• Global Expansion Experience: Experience scaling clinical operations across international jurisdictions, including familiarity with O-US regulatory bodies and localized clinical trial infrastructure.
• Financial Stewardship: Demonstrated expertise in multi-million dollar budget management, including sophisticated resource allocation and vendor contract optimization.

Innovation & Process Design

• Clinical Systems Architecture: Experience implementing and optimizing Clinical Trial Management Systems (CTMS), Electronic Data Capture (EDC), and eTMF platforms for high-growth environments.
• Agile Clinical Operations: Ability to apply "lean" or "agile" methodologies to clinical trial workflows, reducing cycle times while maintaining absolute compliance.
• Interdisciplinary Synthesis: A rare ability to translate high-level engineering specifications into clinical protocols that are both scientifically rigorous and operationally feasible for surgical teams.

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 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

Role Overview

As the Systems Engineering Manager, you will set the technical direction for your Systems Engineering team. Working with the Sales Area Director, you and your team will build client relationships, identify cyber risks, and help customers select the right applications from Cato’s platform.

Your expertise and coaching will help the SE team stay current on emerging cyber threats and use modern approaches for prevention.

We are looking for a manager to grow our pre-sales teams through training, field guidance, and product expertise. You will also relay product feedback, feature requests, and enhancement ideas to Product Management based on customer insights.

Working with sales account managers, your team will help customers replace existing technologies, expand Cato’s presence in key accounts, and secure digital transactions with Cato’s products.

Responsibilities

• Recruit, train, and coach Systems Engineers within the territory, helping team members grow in their roles.

   

• Establish and maintain customer relationships to create reference accounts and assist account teams with account planning.

   

• Assist the field SE team with evaluations, proof-of-value exercises, troubleshooting, and issues encountered in client environments.

   

• Deliver technical and strategic content to external audiences, including clients, partners, and employees.

   

• Build relationships with channel partners and their technical teams to ensure they are trained and ready to assist with Cato installations.

   

• Serve as an escalation point for technical issues arising during pre-sales and post-sales stages.

   

• Guide discussions on industry trends and emerging changes in the security landscape that customers need to plan for.

   

• Provide design consultation and best-practice guidance during the pre-sales process for strategic opportunities, with focus on rollout, implementation, and policy conversion.

   

• Offer onboarding, training, and coaching to new and existing team members to maintain high technical proficiency and ownership.

   

• Work with clients and prospective clients to apply best practices in their digital environments.

   

• Assist in defining the periodic SE training curriculum.

   

• Work with the Channel team to ensure Partner SEs are trained and ready to assist with Cato Networks evaluation installations.

   

• Work with Product Management, Technical Marketing, and R&D to define requirements and product features for large customers and relay customer feedback.

Requirements

• Proven experience as a pre-sales Systems Engineering Manager managing a team of skilled technical professionals.

   

• In-depth knowledge of security product market trends, Cato’s roadmap, and technology development efforts.

   

• Willingness to engage with customers alongside account teams.

   

• Experience managing technical teams in a relevant discipline.

   

• General business management skills.

   

• Interest in ongoing education across technology areas relevant to Cato Networks.

   

• Experience working with account executives and system engineering teams to define a technical account plan for the region on a monthly, quarterly, and yearly basis.

   

• Ability to deliver broad security solutions to clients, with knowledge of market positioning and selling strategies.

   

• Experience creating System Engineering enablement tools, such as training materials and demos.

   

• Written and verbal communication skills, plus presentation skills.

#LI-AC1

Location Details: 

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​

Remote: This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.  

Join our team

We are looking for engineers to join the Global Storage Engineering team with a strong focus on Ceph. In this role, you would be engineering and deploying the latest storage technologies to enable object, block, and file workloads for our internal applications and private cloud. If you have strong dev/ops skills, love to solve complex and challenging problems, and want to participate in some of the most exciting open-source projects, we want to hear from you!

What you'll get to do...

• Architect and build Ceph clusters from the ground up, creating robust and scalable storage solutions that meet our organizational needs.
• Help GoDaddy engineer, deploy, and maintain the next generation of Ceph storage technologies.
• Play a key role in managing a large-scale Linux environment, ensuring seamless operations and optimal performance across our extensive infrastructure.
• Work closely with internal teams on cross-functional projects to ensure that their assets are delivered quickly and with the highest quality.
• Scope and model various workloads to deliver custom solutions based on GoDaddy product offering needs.

Your experience should include...

• 4+ years of professional Ceph experience, architecting and building Ceph clusters from the ground up
• 4+ years of Ceph storage deployment, configuration, performance tuning, monitoring, troubleshooting, integration, upgrades, and maintenance.
• Experience working with Ceph Reef, showcasing proficiency in implementing and optimizing this version for enhanced storage performance and reliability.
• 3+ years of experience in Python scripting and automation. 
• 4+ years of professional experience, efficiently managing large-scale Linux server environments.
• Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and their storage services.

You may also have…

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field or equivalent experience.
• Experience with other distributed storage systems (e.g., GlusterFS, HDFS).
• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes)

We encourage you to apply even if your experience or skillset doesn’t align perfectly with every requirement. We value a wide range of backgrounds and transferable skills, and we are excited to support learning and growth.

About us...  GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us. 

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that’s not enough to build true equity and belonging in our communities. That’s why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It’s the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.  

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way. 

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to myrecruiter@godaddy.com. 

GoDaddy doesn’t accept unsolicited resumes from recruiters or employment agencies.

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. 

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. 

Senior Bring-Up and Characteristion Engineer

Salary $161,500 - $218,500 + Phantom Equity + Benefits

Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. 

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Austin, which will play a central role in Graphcore's work building the future of AI computing.  

We are looking for a Characterisation and Bring-Up engineer to work with Architecture, Silicon Engineering, Hardware Engineering, Operations (device manufacture) and Product teams to help create and execute the bring-up and characterisation of our cutting-edge silicon devices and system platforms.
Graphcore design and develop leading edge silicon processors and high-power high-speed blade systems at the forefront of AI technology. As such you will need to develop a detailed understanding of our silicon and platform products. Your role will be to create and execute bring-up and characterisation plans of our silicon devices in systems to show that they will operate correctly over all conditions in the final product. You will concentrate on automated and manual testing of systems in the lab and datacentre. The results will be integrated with data from other teams to provide the complete characterisation solution for the product. For example, a large amount of device testing can be performed by the production test team using high-speed production test equipment. 

Responsibilities and Duties 

• Understand the architecture and design of silicon devices and systems, and clearly document the requirements for characterisation
• Creation of product specific characterisation plans
• Liasing with engineering teams to understand what are tests are available for characterisation purposes and driving change where appropriate
• Create and maintain an automated system for running characterisation testing, capturing the results to a central database and performing data analysis
• Execution of manual characterisation tests where automation is not appropriate
• Report regularly on progress and issues during the characterisation
• Produce characterisation reports containing platform test results and feeding them up into the overall product characterisation report

Essential skills

• A proven track record of delivering technical output, perhaps as an individual contributor, manager, or project manager
• Solid experience and understanding of silicon digital device design characterisation
• Knowledge of silicon process technology and how that impacts device performance at transistor and system level
• Knowledge of high-performance processor and system-on-chip systems
• Experience of high-speed digital interfaces, such as PCIe, Ethernet or DDR
• Knowledge of measurement automation and data analysis
• The ability to code or script automation and data analysis using appropriate coding languages such as Python, JMP for example
• An ability to work independently without daily oversight

Desirable skills:

• Knowledge of PCBA and system level technologies
• Background knowledge of ATE systems and capabilities. Whilst you will not be directly involved with such testing, some of the characterisation work will be performed on such systems

Benefits:

In addition to a competitive salary, Graphcore offers a competitive benefits package. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. 

Senior Bring-Up and Characteristion Engineer

Salary $156,500 - $211,700 + Phantom Equity + Benefits

Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. 

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Austin, which will play a central role in Graphcore's work building the future of AI computing.  

We are looking for a Characterisation and Bring-Up engineer to work with Architecture, Silicon Engineering, Hardware Engineering, Operations (device manufacture) and Product teams to help create and execute the bring-up and characterisation of our cutting-edge silicon devices and system platforms.
Graphcore design and develop leading edge silicon processors and high-power high-speed blade systems at the forefront of AI technology. As such you will need to develop a detailed understanding of our silicon and platform products. Your role will be to create and execute bring-up and characterisation plans of our silicon devices in systems to show that they will operate correctly over all conditions in the final product. You will concentrate on automated and manual testing of systems in the lab and datacentre. The results will be integrated with data from other teams to provide the complete characterisation solution for the product. For example, a large amount of device testing can be performed by the production test team using high-speed production test equipment. 

Responsibilities and Duties 

• Understand the architecture and design of silicon devices and systems, and clearly document the requirements for characterisation
• Creation of product specific characterisation plans
• Liasing with engineering teams to understand what are tests are available for characterisation purposes and driving change where appropriate
• Create and maintain an automated system for running characterisation testing, capturing the results to a central database and performing data analysis
• Execution of manual characterisation tests where automation is not appropriate
• Report regularly on progress and issues during the characterisation
• Produce characterisation reports containing platform test results and feeding them up into the overall product characterisation report

Essential skills

• A proven track record of delivering technical output, perhaps as an individual contributor, manager, or project manager
• Solid experience and understanding of silicon digital device design characterisation
• Knowledge of silicon process technology and how that impacts device performance at transistor and system level
• Knowledge of high-performance processor and system-on-chip systems
• Experience of high-speed digital interfaces, such as PCIe, Ethernet or DDR
• Knowledge of measurement automation and data analysis
• The ability to code or script automation and data analysis using appropriate coding languages such as Python, JMP for example
• An ability to work independently without daily oversight

Desirable skills:

• Knowledge of PCBA and system level technologies
• Background knowledge of ATE systems and capabilities. Whilst you will not be directly involved with such testing, some of the characterisation work will be performed on such systems

Benefits:

In addition to a competitive salary, Graphcore offers a competitive benefits package. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. 

Staff Bring-Up and Characterisation Engineer

Salary $191,100 - $258,500 + Phantom Equity + Benefits

Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. 

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Austin, which will play a central role in Graphcore's work building the future of AI computing.  

We are looking for a Characterisation and Bring-Up engineer to work with Architecture, Silicon Engineering, Hardware Engineering, Operations (device manufacture) and Product teams to help create and execute the bring-up and characterisation of our cutting-edge silicon devices and system platforms.
Graphcore design and develop leading edge silicon processors and high-power high-speed blade systems at the forefront of AI technology. As such you will need to develop a detailed understanding of our silicon and platform products. Your role will be to create and execute bring-up and characterisation plans of our silicon devices in systems to show that they will operate correctly over all conditions in the final product. You will concentrate on automated and manual testing of systems in the lab and datacentre. The results will be integrated with data from other teams to provide the complete characterisation solution for the product. For example, a large amount of device testing can be performed by the production test team using high-speed production test equipment. 

Responsibilities and Duties 

• Understand the architecture and design of silicon devices and systems, and clearly document the requirements for characterisation
• Creation of product specific characterisation plans
• Liasing with engineering teams to understand what are tests are available for characterisation purposes and driving change where appropriate
• Create and maintain an automated system for running characterisation testing, capturing the results to a central database and performing data analysis
• Execution of manual characterisation tests where automation is not appropriate
• Report regularly on progress and issues during the characterisation
• Produce characterisation reports containing platform test results and feeding them up into the overall product characterisation report

Essential skills

• A proven track record of delivering technical output, perhaps as an individual contributor, manager, or project manager
• Solid experience and understanding of silicon digital device design characterisation
• Knowledge of silicon process technology and how that impacts device performance at transistor and system level
• Knowledge of high-performance processor and system-on-chip systems
• Experience of high-speed digital interfaces, such as PCIe, Ethernet or DDR
• Knowledge of measurement automation and data analysis
• The ability to code or script automation and data analysis using appropriate coding languages such as Python, JMP for example
• An ability to work independently without daily oversight

Desirable skills:

• Knowledge of PCBA and system level technologies
• Background knowledge of ATE systems and capabilities. Whilst you will not be directly involved with such testing, some of the characterisation work will be performed on such systems

Benefits:

In addition to a competitive salary, Graphcore offers a competitive benefits package. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. 

Staff Bring-Up and Characterisation Engineer

Salary $198,100 - $268,000 + Phantom Equity + Benefits

Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. 

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Austin, which will play a central role in Graphcore's work building the future of AI computing.  

We are looking for a Characterisation and Bring-Up engineer to work with Architecture, Silicon Engineering, Hardware Engineering, Operations (device manufacture) and Product teams to help create and execute the bring-up and characterisation of our cutting-edge silicon devices and system platforms.
Graphcore design and develop leading edge silicon processors and high-power high-speed blade systems at the forefront of AI technology. As such you will need to develop a detailed understanding of our silicon and platform products. Your role will be to create and execute bring-up and characterisation plans of our silicon devices in systems to show that they will operate correctly over all conditions in the final product. You will concentrate on automated and manual testing of systems in the lab and datacentre. The results will be integrated with data from other teams to provide the complete characterisation solution for the product. For example, a large amount of device testing can be performed by the production test team using high-speed production test equipment. 

Responsibilities and Duties 

• Understand the architecture and design of silicon devices and systems, and clearly document the requirements for characterisation
• Creation of product specific characterisation plans
• Liasing with engineering teams to understand what are tests are available for characterisation purposes and driving change where appropriate
• Create and maintain an automated system for running characterisation testing, capturing the results to a central database and performing data analysis
• Execution of manual characterisation tests where automation is not appropriate
• Report regularly on progress and issues during the characterisation
• Produce characterisation reports containing platform test results and feeding them up into the overall product characterisation report

Essential skills

• A proven track record of delivering technical output, perhaps as an individual contributor, manager, or project manager
• Solid experience and understanding of silicon digital device design characterisation
• Knowledge of silicon process technology and how that impacts device performance at transistor and system level
• Knowledge of high-performance processor and system-on-chip systems
• Experience of high-speed digital interfaces, such as PCIe, Ethernet or DDR
• Knowledge of measurement automation and data analysis
• The ability to code or script automation and data analysis using appropriate coding languages such as Python, JMP for example
• An ability to work independently without daily oversight

Desirable skills:

• Knowledge of PCBA and system level technologies
• Background knowledge of ATE systems and capabilities. Whilst you will not be directly involved with such testing, some of the characterisation work will be performed on such systems

Benefits:

In addition to a competitive salary, Graphcore offers a competitive benefits package. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. 

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 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.

About ROLLER

ROLLER is not your average software-as-a-service company. With a global presence in over 30 countries, we're here to bring some excitement to the leisure and attractions industry and make a difference! Our mission is to help businesses operate smoothly and create fun and memorable guest experiences by providing seamless ticketing, point-of-sale, self-serve kiosks, memberships and digital waiver processes.

But here's the best part: our team. We're a group of 300+ highly passionate, enthusiastic, and down-to-earth professionals located all around the world who are all working together to build something truly remarkable. We're aiming high and believe that the possibilities are endless. As we continue to grow globally, we're excited to write our success story and have fun along the way.

We genuinely love what we do, and we're looking for like-minded people to join us on this amazing journey. If you're ready to be part of a dynamic team and make a real impact, come aboard, and let's create some unforgettable experiences together at ROLLER!

About the Role

We are seeking a highly technical, hands-on Senior Data Engineer to architect and scale our data infrastructure from the ground up. As a core member of the data function within our Business Technology team, you will be responsible for building the pipelines and models that power smarter decision-making and operational efficiency across the entire organization.

In this foundational role, you will build & architect the modern data stack, ensuring our infrastructure is robust, automated, and governed. You collaborate as a technical partner with GTM ,Product, Finance, P&C to build high-performance data models and pipelines that transform raw data into actionable cross-functional insights.

Joining ROLLER at this pivotal growth stage, you will have the opportunity to make an outsized impact on our technical landscape, directly influencing how we process data to deliver world-class experiences for our customers globally.

What You'll Do

• Scalable Architecture: Design and implement robust Data Modeling and Architecture strategies that support high-volume data processing and maintain long-term scalability.
• Cloud Ecosystem: Develop and manage end-to-end data pipelines using Google Cloud Platform services, specifically leveraging Cloud Run, Cloud Function for compute, BigQuery for storage, and Cloud Composer (Airflow) for orchestration.
• Transformation Excellence: Build, maintain, and document complex data transformation layers using DBT (Data Build Tool) to ensure high data quality and reliability.
• Infrastructure as Code: Automate the provisioning of cloud resources using Terraform and streamline deployment workflows via GitHub Actions CI/CD pipelines.
• Cloud Data Warehousing: Demonstrate expert-level proficiency in managing and optimizing Cloud Data Warehouses, such as Snowflake & BigQuery.
• Team Collaboration: Partner with cross-functional stakeholders to build and scale high-performing data infrastructure that supports engineering, analytics, and Data Program needs.
• Stack Management: Architect and maintain a modern data stack by implementing best-in-class tools including Snowflake, Bigquery, dbt, Fivetran, Looker, Tableau and Airflow.
• Pipeline Engineering: Develop scalable ETL/ELT workflows and robust data models to deliver real-time analytics and unified business reporting.
• Data Visualization: Create and maintain intuitive, high-performance Looker dashboards will be an added advantage.

About You

You are a technical builder who views data as a competitive advantage. You thrive in fast-paced environments and have a proven track record of engineering scalable data foundations from the ground up. Equal parts architect and analytical problem-solver, you excel at balancing long-term technical vision with the daily hands-on execution of complex pipelines.

You are energized by the full lifecycle of data—moving beyond just writing code to actively leading project discovery and analysis alongside cross-functional partners. You take pride in enabling GTM, Product, Finance & P&C teams through clear insights and high-performance systems. Most importantly, you are excited to act as a founding technical force for a high-growth SaaS company that is transforming the guest experience for attractions businesses globally.

• 5+ years of experience in Data & Analytics or Data Engineering with a focus on Scalable cloud driven data pipeline build

• Proven experience in dimensional modeling (Star/Snowflake schema) and designing architectures that support both historical reporting and real-time needs.
• Expert-level proficiency in Snowflake or BigQuery, including performance tuning, cost optimization, and access control (RBAC).
• Hands-on experience with Google Cloud Platform services, specifically Cloud Function, Cloud Run for containerized workloads and Cloud Composer for orchestration.

• Through hands-on experience of dbt (Data Build Tool) to manage transformations, including writing custom macros, implementing tests, and generating documentation.
• Solid experience using Terraform to provision cloud resources, ensuring that infrastructure is version-controlled and reproducible.
• Proficiency in GitHub Actions to automate testing and deployment pipelines for data models and infrastructure.
• Ability to design high-performance dashboards that prioritize user experience and fast load times.

• Experience collaborating with Finance, GTM, and Product to define key metrics (like CAC, LTV, or Churn) and codifying them into the data layer.
• Familiarity with data ingestion tools like Fivetran , Airbyte, Workato, Mulesoft to sync data from various SaaS platforms into the warehouse.

• Operates as a full-stack Data Engineer with the technical authority to architect and build entire data lifecycles, from raw source ingestion to high-impact data visualization.
• Familiarity with business-critical systems like Salesforce, Chargbee, Gainsight, and product analytics tools.
• Strong communicator with a track record of working across technical and non-technical teams to drive alignment.
• You have a high appetite for Technology and AI and a natural curiosity for how it can transform your work. You’re comfortable using AI tools to automate repetitive 'busy work,' freeing you up to focus on high-impact work.

We believe AI is a career-defining inflection point. ROLLER is a fast adopter of new technology like AI, and every team member is empowered to own their learning and use the latest tools to supercharge their impact. We’re looking for candidates with the proficiency and curiosity to embrace AI and technology — not just as a technical skill, but as a core competency to help us achieve big goals

Preferred Qualifications

• Experience partnering with IT or Business Technology teams to drive cross-functional outcomes.
• Exposure to customer success and revenue workflows, such as onboarding journeys, renewal metrics, or support analytics.
• Familiarity with AI/ML pipelines and experimentation frameworks that support data-driven innovation.

Perks!

• You'll get to work on a category-leading product that customers love in a fun, high-growth industry! Check our Capterra and G2 reviews.
• ROLLER Recharge days to celebrate and recharge once we've hit our goals
• Engage in our 'Vibe Tribe' - led by our team members; you can contribute to company-wide initiatives directly. Regular events and social activities, fundraising & cause-related campaigns...you name it. We're willing to make it happen!
• Team Member Assistance Program to proactively support our team's health and wellbeing - access to coaching, education modules, weekly webinars, and more.
• 16 weeks paid Parental Leave for primary carers and 4 weeks paid Parental Leave for secondary carers.
• Work with a driven, fun, and switched-on team that likes to raise the bar in all we do!
• Individual learning & development budget plus genuine career growth opportunities as we continue to expand!

What You Can Expect

1. Initial call with our Talent Acquisition Manager
   You'll have an initial call with our Talent Acquisition Manager to chat through some of your experience to date, salary expectations and you can check off any initial questions you might have.
2. Interview with the Hiring Manager
   You'll get to meet with the hiring manager to learn more about the role & ROLLER whilst also talking through your experience in more detail.
3. Loop Interviews
   This is where you will get to meet our wider ROLLER team to do a 'vibe check' on us to make sure our culture & vibe meet what you are looking for!
4. Offer
   If all lights are green and the fit feel right, we'll conduct reference checks and you'll receive an offer to join!

THE ROLE:

Are you passionate about driving innovation in the data storage industry? Are you skilled in crafting technical solutions that exceed customer expectations? If so, we have an exciting opportunity for you! Everpure (formerly Pure Storage), a leader in the data storage and flash technology space, is seeking a talented and motivated Senior Pre-Sales Systems Engineer to join our dynamic team. 

As a Senior Pre-Sales Systems Engineer, you will play a crucial role in understanding our customers' unique challenges and tailoring Everpure solutions to meet their specific needs. Collaborating closely with the sales team, you will act as a technical expert during the sales process, helping to showcase the value of our products and services.

WHAT YOU’LL DO:

• Develop an exhaustive understanding of what drives a customer’s business and what motivates their decision making
• Connect the dots from technology solutions, inclusive of the Everpure portfolio and others from the ecosystem, to measurable customer business outcomes
• Partner closely with account managers, specialists and channel partners to create a seamless and holistic customer experience and strategy to drive revenue growth and net new business
• Delight customers and teammates with your technical leadership and domain expertise on storage products, distributed storage architectures, file systems, and competitive storage offerings in the DAS, NAS and SAN product spaces
• Take control of evaluations,  benchmarks and system configurations
• Build and deliver technical product and architecture presentations with vigor to customers and lock in the technical win with clients and prospective accounts
• Capture requirements and translate Customer’s business needs into innovative solutions to accelerate their growth and capacity
• Seek out and spur new opportunities for interoperability, functional, and performance testing/validation
• Promote mutual roadmap and planning exchanges
• Liaise with product and technical marketing to produce materials (i.e. whitepaper, web presentations) that support overall alliance plans and objectives
• Stay current with the competition and ensure that materials accurately reflect the latest, differentiated solution positioning
• Move with market trends and competitive landscape to promote thought leadership within our organization
• Lead by example living the Everpure Values:  Persistence, Creativity, Teamwork, Ownership and Customer-first  

WHAT YOU BRING:

• Pre-sales experience is required
• 5 or more years of relevant experience, mixed among technology, design, and communications required. Experience supporting the sales of enterprise storage, networking, systems, cloud, or software to enterprise accounts preferred
• Deep understanding of the architecture, design and implementation of multi-tiered client/server and web-based computing solutions
• Must have a familiarity with modern web architecture a plus (LAMP stack, scale-out vs scale-up architectures, AWS well-architected framework, microservices architecture)
• Prior experience in targeting new prospects and converting them into clients
• Contribute significant portions and/or lead responses to RFPs, RFQs and RFIs
• Superior knowledge of current and emerging storage architectures (FC, iSCSI, NAS, OSD, SAN)
• Previous experience with Linux, NFS file systems and Linux distributed network environment
• Installation/configuration of distributed computing, multiprocessing, virtual memory subsystem, storage subsystems architecture, shared memory architectures, cache architectures, windowing systems
• Strong knowledge of digital transformation to a Cloud Native architecture, On-Prem, Public Cloud, Provisioning Automation, and Containers
• Knowledge of VMware, Local Area Networking, Ethernet, TCP/IP and general networking
• Familiarity with AWS, Azure, GCP, containers, k8s and microservices architectures a plus
• Curiosity and passion around technology and explaining and showing new technology platforms and concepts to customers
• Familiarity with storage-intensive applications and their requirements such as structured databases (SQL, Oracle) is highly desirable
• Excellent verbal and written interpersonal skills

#LI-REMOTE

#LI-JL4

WHAT YOU'LL DO

• Develop an exhaustive understanding of what drives a customer’s business and what motivates their decision making
• Connect the dots from technology solutions, inclusive of the Everpure portfolio and others from the ecosystem, to measurable customer business outcomes
• Partner closely with account managers, specialists and channel partners to create a seamless and holistic customer experience and strategy to drive revenue growth and net new business
• Passionately bring to light the advantages of an Everpure solution
• Refine sales strategy and tactics, taking command of technical responsibilities
• Delight customers and teammates with your technical leadership and domain expertise on storage products, distributed storage architectures, file systems, and competitive storage offerings in the DAS, NAS and SAN product spaces
• Take control of evaluations,  benchmarks and system configurations
• Build and deliver technical product and architecture presentations with vigor to customers and lock in the technical win with clients and prospective accounts
• Capture requirements and translate Customer’s business needs into innovative solutions to accelerate their growth and capacity
• Author responses to RFI & RFPs
• Seek out and spur new opportunities for interoperability, functional, and performance testing/validation
• Promote mutual roadmap and planning exchanges
• Liaise with product and technical marketing to produce materials (i.e. whitepaper, web presentations) that support overall alliance plans and objectives
• Stay current with the competition and ensure that materials accurately reflect the latest, differentiated solution positioning
• Move with market trends and competitive landscape to promote thought leadership within our organization
• Lead by example living the Pure Values:  Persistence, Creativity, Teamwork, Ownership and Customer-first  

WHAT YOU BRING 

• Creativity, empathy, an open mind, curiosity and a desire for continuous learning
• Pre-sales experience is required
• 5 or more years of relevant experience, mixed among technology, design, and communications required. Experience supporting the sales of enterprise storage, networking, systems, cloud, or software to enterprise accounts preferred
• Deep understanding of the architecture, design and implementation of multi-tiered client/server and web-based computing solutions
• Prior experience in targeting new prospects and converting them into clients
• Contribute significant portions and/or lead responses to RFPs, RFQs and RFIs
• Superior knowledge of current and emerging storage architectures (FC, iSCSI, NAS, OSD, SAN)
• Linux, NFS file systems and Linux distributed network environment
• Familiarity with AWS, Azure, GCP a plus
• Installation/configuration of distributed computing, multiprocessing, virtual memory subsystem, storage subsystems architecture, shared memory architectures, cache architectures, windowing systems
• Familiarity with containers, k8s and microservices architectures a plus
• Strong knowledge of digital transformation to a Cloud Native architecture, On-Prem, Public Cloud, Provisioning Automation, and Containers
• Knowledge of VMware, Local Area Networking, Ethernet, TCP/IP and general networking
• Excellent verbal and written interpersonal skills
• BS in CS, EE or other technical degree and/or equivalent experience
• Must have a familiarity with modern web architecture a plus (LAMP stack, scale-out vs scale-up architectures, AWS well-architected framework, microservices architecture)
• Curiosity and passion around technology and explaining and showing new technology platforms and concepts to customers

The annual base salary range is: $152,000-228,000.

Salary ranges are determined based on role, level and location. For positions open to candidates in multiple geographical locations, the base salary range is reflective of the labor market across the applicable locations. 

This role may be eligible for incentive pay and/or equity. 

And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events - check out purebenefits.com for more information. 

There is no application deadline and we accept applications on an ongoing basis until the job is filled.

• Work alongside the sales team as the technical and domain expert of a customer-facing sales team to help Customers understand the value of Okta’s solutions
• Understand customer challenges and business issues and provide product demonstrations to align our solutions with customer needs
• Answer product feature and technical questions from customers, partners and Okta colleagues
• Plan and deliver Proof Of Concepts for customers who have more complex use cases, collaborating with other Okta engineering teams as needed
• Provide feedback to product management about product enhancements that can address customer needs and provide additional value
• Share and learn best practices and re-usable assets with other Solutions Engineers to enhance the quality and efficiency of the team
• Stay current on competitive analysis and market differentiation
• Support marketing events including executive briefings, conferences, user groups, and trade shows
• At times, be asked to learn and lead your team as a subject matter expert (SME) with various product solutions and/or competitive knowledge

• Identity and Access Management (IAM) Expertise:
  • 5+ years of pre-sales engineering experience in IAM.
  • Strong understanding of IAM concepts, including OAuth 2.0, OIDC, and SAML.
  • Experience with lifecycle management, role-based access control (RBAC), and provisioning/deprovisioning.
• Technical Proficiency:
  • Hands-on experience in one or more of the following development areas: web (JavaScript, HTML, frontend frameworks), mobile (iOS, Android), backend (Java, C#, Node.js, Python, PHP, Ruby), or IP-based real-time communications.
  • Experience working with REST APIs, API Gateways, and SDKs.
  • Deployed applications on cloud platforms (AWS, Azure, GCP, Vercel, etc.).
  • Understanding of core security concerns in applications (password hashing, SSL/TLS, encryption at rest, XSS, XSRF).
• Customer Engagement & Communication:
  • Passion for serving customers, demonstrated in a customer-facing role (ideally pre-sales, but consulting or support also valued).
  • Ability to quickly communicate complex technical ideas, including on-the-fly whiteboard explanations.
  • Elite communication skills, confident in dispensing knowledge and presenting to highly skilled and experienced audiences.
• Strategic & Organizational Skills:
  • Territory management skills, including pipeline building and collaboration with sales counterparts for execution excellence.
  • Diagramming experience for user journey flows, complex architecture diagrams, etc.
• Education & Travel:
  • Bachelor's degree in Engineering, Computer Science, MIS, or a comparable field is preferred.
  • Typically 25% travel.

• Experience with Auth0, Auth0 FGA, or OpenFGA.
• Hands-on experience with Generative AI or LLM technology (LangChain, GenKit, LlamaIndex, etc.).
• Experience integrating with microservices, data lakes, or customer data platforms.
• Developed ReBAC or Fine-Grained Authorization models.

LI#LS

P13976_3382181

We are seeking a Senior Software Engineer - Cloud Platform to join our growing infrastructure organization. This is a high-impact, greenfield opportunity to help build and shape our Cloud Platform team from the ground up. You will be a founding technical contributor responsible for defining standards, scaling platform capabilities, and improving the developer experience for every engineer across the company.

You will take ownership of critical cloud initiatives—including governance, automated remediation, and internal developer tooling—with a direct mandate to influence how we manage our AWS footprint at scale. This role requires a RealOwnership mindset as you define standards and stabilize platform capabilities to support every engineer across the company. You will play a pivotal role in scaling our infrastructure to be secure and cost-effective, assuming full technical ownership of the platform from outgoing contractors by the end of Q2.

We believe in leveraging the best tools to solve problems faster. You will be expected to utilize AI coding assistants and LLMs proficiently to accelerate development velocity, generate boilerplate, and troubleshoot complex debugging scenarios. This role requires the critical judgment to verify AI-generated outputs for security, performance, and accuracy, allowing you to focus on high-impact architectural challenges.

What you’ll do:

Cloud Governance & RealOwnership

• Implement and maintain robust cloud governance using IaC (Terraform, CloudFormation, or CDK) to create reusable modules and templates.
• Take ownership of Cloud Custodian policies and AWS SCPs to enforce security, tagging, resource lifecycles, and compliance.
• Ensure infrastructure provisioning and operational activities align with established governance guidelines and internal controls.
• Build automated remediation and reporting for governance and cost issues to ensure a secure, compliant environment.

Platform Innovation & "Paved Paths"

• Run and extend Backstage (Internal Developer Portal) by adding/maintaining plugins and service catalogs to improve developer self-service.
• Integrate IaC and policy checks into deployment pipelines to create "paved paths" that allow engineers to move faster without sacrificing security.
• Collaborate across Engineering, Security, and Finance to influence cloud standards and operational efficiency at scale.

FinOps & Cost Optimization

• Drive cost optimization initiatives (rightsizing, reserved instances, spot instances) and automate cost controls and alerts.
• Support cost-conscious architecture decisions with measurable ROI on cloud spend.

What you’ll bring: 

Experience & Expertise

• 5+ years in DevOps, Platform, or Infrastructure Engineering with a track record of building scalable cloud governance systems.
• 3+ years of hands-on experience with AWS (EKS, EC2, RDS, IAM) and production-grade Kubernetes cluster management.
• Proficient programming skills in Python, Go, or Java for building platform automation and internal tooling.
• Deep expertise in Infrastructure as Code (Terraform preferred) and modern CI/CD/GitOps workflows (Argo CD, CircleCI, or Jenkins).
• Preferred: Direct experience with Cloud Custodian, Backstage, and FinOps principles.

Technical Skills

• Cloud & Infrastructure: AWS (EKS, Fargate, Lambda, VPC, IAM), Kubernetes, Docker, Istio Service Mesh.
• Governance & Tooling: Cloud Custodian, AWS SCPs, Backstage, AWS Secrets Manager.
• IaC & Automation: Terraform, CDK, CloudFormation, Helm, Python/Go.
• Observability: NewRelic, Datadog, or Prometheus/Grafana.
• Incident Management: OpsGenie or PagerDuty.

Professional Qualities

• Strong communication skills with ability to explain technical concepts to diverse audiences
• Collaborative approach working across engineering, product, and business teams
• Self-motivated with ability to solve complex problems within established practices and policies
• Data-driven decision making with customer-centric approach and empathy for developer experience

How We Work:

We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our offices, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.

How We Reward You:

Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to:

• Inclusive and Competitive medical, Rx, dental, and vision coverage
• Family forming benefits
• 13 Paid Holidays
• Flexible Time Off
• 8 hours of paid Volunteer Time off
• Immediate eligibility into Company 401(k) plan with 3.5% company match
• Tuition Reimbursement program for degreed and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location

Position Summary 

The AI Implementation Lead is the Data Team's hands-on builder, deploying AI solutions where Data Team work meets the business. The ideas are coming faster than the implementation; this role exists to close that gap. The work spans agents, plug-ins, applications, integrations, and whatever form the use case calls for. You will scale IEM's existing AI-native infrastructure (Claude Code in daily use, multiple local MCP servers wired to production data systems, an internal multi-agent portfolio across analytics and operations, and an established AI-assisted development culture) from a director-led prototype into a Data Team production platform. This role works in coordination with IEM's Enterprise AI team, which sets enterprise AI strategy and policy; the AI Implementation Lead applies that framework to the solutions you build rather than authoring it. This is the first dedicated AI engineer on the Data Team, offered with track flexibility as either a principal individual contributor or a hands-on people leader managing 2 to 4 engineers as the function scales. 

Ideal Candidate Profile 

You have 5+ years of software engineering experience with hands-on AI and agentic system development. You have built agents, plug-ins, or AI applications that real organizations have used, not coursework or POCs. You think first about the use case and the user, then about the system, then about the model. You write production code yourself and pride yourself on building solutions that actually get adopted. You partner naturally with non-technical stakeholders, translating fuzzy AI ideas into deployed solutions and surfacing the questions behind the questions. You are comfortable working with modern agent tooling such as Claude Code, MCP, LangGraph, Mastra, or Pydantic AI, and you treat AI-assisted development as a daily multiplier for engineering, governance, documentation, and adoption work. You have a working knowledge of AI governance and security including prompt injection mitigation, data leakage prevention, and model risk. You are excited about defining a new function inside a Data Team that already has the foundation in place. 

Key Responsibilities 

• AI Solution Deployment: Build agents, plug-ins, applications, and integrations as use cases emerge from the Data Team's work and the partners it supports 

• Agent Development: Design and develop custom agents and agent harnesses, including MCP servers, orchestration logic, prompt engineering, and eval scaffolding. Agents are the centerpiece of the function. 

• Vendor AI Extension: Build on top of Salesforce Einstein, Tableau Pulse-AI, ETQ-AI, Fellow.ai, and the data-platform AI capabilities IEM brings on next 

• Solution Discovery: Run intake conversations with internal partners to surface high-value AI use cases, pressure-test feasibility against existing tooling, and prioritize the implementation roadmap 

• AI Governance and Security: Build with data leakage prevention, prompt injection mitigation, and model risk as first-class concerns, in alignment with IEM's broader AI policy framework 

• Adoption and Enablement: Train users, write documentation, and run enablement programs so the AI solutions you deliver get used by the people they were built for 

• Cross-Functional Delivery: Coordinate with the internal teams the Data Team serves through build and rollout, keeping stakeholders aligned as solutions move from idea to deployment 

• Documentation: Maintain design notes, integration docs, and runbooks for the AI solutions you deliver so the team can support and extend your work 

• AI-Assisted Development: Use modern AI coding tools such as Claude Code and Cursor as part of your daily practice, setting the standard for the rest of the Data Team 

• Team Leadership: If filling the people-leader track, hire, coach, and grow a small team of AI engineers as the function scales 

• Engineering Standards: Participate in code reviews, follow Git workflows and CI/CD practices, and contribute to evolving the team's AI engineering conventions 

• Continuous Learning: Stay current with the rapidly evolving AI tooling landscape, bringing ideas back to the team and helping raise the bar over time 

Qualifications 

• Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related technical field, or equivalent professional experience 

• 5+ years of software engineering experience, with at least 2 years building AI or agentic systems used by a real organization 

• Direct experience building agents, plug-ins, or AI applications used in a real working environment, not coursework, prototypes, or POCs 

• Hands-on experience with modern agent tooling such as Claude Code, MCP (Model Context Protocol), LangGraph, Mastra, Pydantic AI, or comparable frameworks 

• Strong programming skills in Python, including async patterns, type hints, and testing 

• Working knowledge of large language model APIs (Anthropic, OpenAI, or comparable), with hands-on prompt engineering, evaluation, and iteration on production prompts 

• Working knowledge of AI governance and security including prompt injection mitigation, data leakage prevention, model risk, and vendor review 

• Track record of driving adoption of AI or technical solutions with users outside the immediate engineering team 

• Strong written and verbal communication skills with the ability to explain technical AI concepts to non-technical stakeholders and to gather requirements from business users 

• Comfortable with Git version control, code review, and modern engineering workflows including CI/CD 

• Self-motivated with the ability to work independently in a remote environment while collaborating effectively across a distributed team 

• Preferred: People leadership experience including managing 2 to 5 engineers and running technical hiring 

• Preferred: Experience extending vendor AI platforms in the data and analytics ecosystem (Salesforce Einstein, Tableau Pulse-AI, BI vendors, vertical SaaS) 

• Preferred: Mid-market or operational and manufacturing context, vs. a purely big-tech background 

• Preferred: Familiarity with manufacturing systems such as Infor Syteline, ERP platforms, or shop floor and quality systems 

Location 

Fully remote within the United States. May require up to 10% travel to IEM facilities for team collaboration, project kickoffs, and stakeholder meetings. 

Sales Engineer

Location: Houston, TX

Reports To: Sales Director 

Salary Range: $140,000 - $150,000 Annually

Position Summary 

As a Sales Professional for IEM, you will be responsible for the sale of IEM power distribution products (MV/LV Switchgear, Switchboards, Panelboards) through direct channels. This includes developing and maintaining medium and large Electrical Contractor accounts and developing contacts and sales with key end user accounts.  Candidate should be skilled in assembling large project package quotations to include IEM and non-IEM products as necessary to furnish a complete bill of material to the customer.

The general territory will be the Houston area. Your office base will be remote. Ideal candidate will be known in the Houston area electrical equipment market and will have developed a trust with a core group of existing contractors, end users or electrical distributors.

Key Responsibilities 

• Work with Sales Director to establish, own, execute and continuously develop an agreed & sponsored Account plan.
• Identify & build positive relations with all account decision & influencers who impact current or future business.
• Deeply understand and be able to articulate the client buying process.
• Identify & engage in revenue opportunities within defined accounts.
• Understand & capture the clients challenges & requirements.
• Use personal & internal resources to develop proposals that meet/exceed client requirements.
• Follow the client buying journey / process so as to commercially respond & offer proposal.
• Oversee the effective handover to Platform Execution team.
• Maintain an ongoing oversight into all commercial related engagements for customer success/satisfaction and our performance as vendor.
• Be highly knowledgeable of the client’s business, commercial condition, structure, strategy, operations and challenges to articulate this in terms of opportunity, growth and risk.
• Be highly knowledgeable on IEM products, services, general business, structure, strategy, and operations to articulate this in terms of value to client’s business.
• Be an effective advocate and communicator of the benefits in supporting the account within IEM.
• Be an effective advocate and communicator of the benefits in supporting IEM within client organization.
• Provide all internal stakeholder and functional departments the account specific guidance and insights required so that they can execute their role and add value to the client.
• Be responsible for managing forecasting and providing information to Sales Director for capacity planning.

Qualifications 

• A Bachelor’s Degree in Electrical/Mechanical Engineering or related field.
• A minimum of 5 - 10 years’ experience in the sale of power distribution equipment (MV/LV switchgear/switchboards. Data Center market experience a plus.
• A strong track record of negotiating medium and large project orders, successfully developing new contacts, maintaining current relationships with major contractors throughout the sales cycle and maximizing client potential is a must.
• Experience generating accurate project proposals utilizing MV/LV switchgear plus non-IEM products to present a complete bid package is required.
• A self-motivated individual with a high level of professionalism, excellent communication, presentation and negotiating skills are also required.
• Experience utilizing Salesforce is a plus

Compensation actually offered for this role will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Tenstorrent is seeking an Physical Design Engineer to lead  cross-functional efforts to solve complex physical design challenges and develop end-to-end RTL-to-GDS methodologies across advanced nodes, with a strong focus on PPA and runtime improvements. The engineer will architect, integrate, and deploy AI/ML-driven solutions into production physical design flows, creating custom CAD tools and partnering with internal teams and EDA vendors to drive next-generation, ML-enabled capabilities. 

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

We welcome candidates at various experience levels for this role. 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

• BS in Electrical or Computer Engineering (or equivalent experience) with 5+ years in Physical Design CAD methodology at advanced nodes.
• Proven track record improving PPA and/or runtime on high-performance, low-power taped-out designs.
• Hands-on with industry-standard EDA tools (e.g., Fusion Compiler) across synthesis, P&R, STA, signoff, and hierarchical flows.
• Strong Python/Tcl and data skills, with interest or experience in ML frameworks (PyTorch, TensorFlow), and the ability to drive complex projects independently.

What we need

• Lead and contribute to cross-functional efforts solving complex physical design challenges across IPs, projects, and advanced technology nodes.
• Develop and enhance RTL-to-GDS methodologies, including floorplanning, synthesis, P&R, STA, signoff, and assembly.
• Architect and deploy AI/ML-driven solutions in production flows to improve engineering efficiency, turnaround time, and QoR.
• Optimize EDA tools and custom CAD flows using data-driven and ML-based techniques, in close collaboration with verification, extraction, timing, DFT, and EDA vendors.

What you will learn

• How to scale AI/ML-driven methodologies across diverse products and advanced technology nodes in real production flows.
• New ways to blend classical EDA algorithms with modern ML techniques to push PPA and runtime limits.
• Best practices for deploying, validating, and monitoring ML models in production CAD environments.
• How to influence next-generation ML-enabled EDA tools and collaborate deeply with cross-functional teams (PV, extraction, timing, DFT).

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. 

At Tenstorrent, we build computers for AI, and the developers shaping its future.

Our high-performance RISC-V CPUs, modular chiplets, and scalable compute systems give developers full control at every layer of the stack, at any scale from a single-node experimentation to data center-scale deployment.

We believe in an open future. Our architecture and software are designed to be edited, forked, and owned. Our team of engineers, dreamers, and first-principle thinkers is redefining how hardware and software converge to accelerate innovation.

As part of a new organization focused on experience, we need engineers for our Developer Relations team that deeply understand developers’ trials , tribulations, and wins. While you’ll certainly build on Tenstorrent hardware and software, your focus will be on working with developers directly online and at in person events. You'll meet developers where they are, understand their needs, and partner with them to manifest an open future we can all be proud of. 

This role is remote, but you're welcome to work from one of our offices if you're nearby. We encourage candidates of all experience levels to apply. Your interview will determine the best fit, and offers will reflect that assessment.

We welcome candidates at various experience levels for this role. 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

• Inspire developers and builders to reach their goals using tools well-suited to their needs.
• Are comfortable talking to developers online, on stage, or in written content developed to connect, instruct, and inspire.
• Explore how AI can augment and enhance your development capabilities and want to share your experience to empower the developers of today and tomorrow.

What You Bring 

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Experience managing developer communities.
• Strong skills across multiple parts of a developer’s stack.
• Passion about AI and compute.
• Fluency with open source development practices and tools, e.g., Git, GitHub, CI, VSCode.

What You Will Learn

• Foster meaningful interactions online and offline between Tenstorrent and developers.
• Partner closely with Comms and Marketing to ensure narrative alignment.
• Initiate and nurture VIP dev relationships that scale trust, not just reach.
• Monitor discussions and sentiment within community channels, identify key trends, opportunities, and blocks.
• What you don’t know while working with a team of enthusiastic operators of varying experience levels.

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.

At Tenstorrent, we build computers for AI, and the developers shaping its future.

Our high-performance RISC-V CPUs, modular chiplets, and scalable compute systems give developers full control at every layer of the stack, at any scale from a single-node experimentation to data center-scale deployment.

We believe in an open future. Our architecture and software are designed to be edited, forked, and owned. Our team of engineers, dreamers, and first-principle thinkers is redefining how hardware and software converge to accelerate innovation.

As part of a new organization focused on experience, we need engineers for our Developer Relations team that deeply understand developers’ trials , tribulations, and wins. You'll build, present, and contextualize the tools, demos, and interfaces developers need to navigate and fully utilize Tenstorrent hardware and software. You'll meet developers where they are, understand their needs, and partner with them to build an open future. 

This role is remote, but you're welcome to work from one of our offices if you're nearby. We encourage candidates of all experience levels to apply. Your interview will determine the best fit, and offers will reflect that assessment.

Who You Are

• Passionate tool builder. You're comfortable creating things developers love to use  like command-line utilities, SDKs, dashboards, service integrations, content management systems, and microsites. 
• Curious and explore how AI can augment and enhance your development capabilities. 
• Want to share that experience to empower today's and tomorrow's developers. 
• Believe that being open is a key advantage and wayfinder in how to act and what to do next.

What We Need

• A Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
• A proven track record building great experiences for a developer audience.
• Strong skills across multiple parts of a developer’s stack.
• Fluency with open source development practices and tools, for example, Git, GitHub, CI, VSCode.
• Strong product instincts.
• Interest and experience working at varying levels of the AI engineering stack.

What You Will Learn

• Build web-based tools, demos, and playgrounds, letting developers explore our offerings.
• Translate complex platform capabilities into intuitive user and developer experiences. We improve the developer experience by reducing friction and improving education throughout.
• Partner closely with Marketing, Creative, Engineering, and Product to connect narrative with function.
• Advocate for seamless UX, from box to screen.
• The state-of-the-art in AI inside a growing, international community of open computing enthusiasts.

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.

Tenstorrent is seeking an experienced Field Application Engineer to champion our revolutionary RISC-V CPU and AI accelerator IP products with customers worldwide. You will own end-to-end technical engagements, translating complex architectural advantages into customer wins while shaping our product roadmap through direct market feedback. If you combine deep technical expertise with exceptional customer engagement skills and want to drive the adoption of next-generation compute IP, join our team.

This role is hybrid, based out of the United States or Canada near one of our main office locations.

We welcome candidates at various experience levels for this role. 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

• A customer-focused engineer with proven success in CPU/GPU/NPU IP sales engagements.
• Technical expert who can articulate complex architectural benefits and conduct deep-dive analyses.
• Self-driven professional who independently manages multiple customer relationships from discovery to win.
• Strategic thinker who identifies customer pain points and positions solutions effectively.

What We Need

• 7+ years in the semiconductor industry with a degree in EE or related field including customer-facing roles in CPU IP.
• Hands-on expertise with ASIC design flows, IP integration, and relevant design views (.lib, LEF, ICL, PDL).
• Deep technical knowledge of CPU architectures, semiconductor technologies, and system-level design.
• Exceptional presentation and communication skills with ability to engage all organizational levels.
• Proven track record of technical wins and managing multiple simultaneous accounts.

What You Will Learn

• How to position cutting-edge RISC-V and AI accelerator IP against industry incumbents.
• Advanced customer engagement strategies for complex technical sales in the semiconductor industry.
• Direct influence on product development through customer feedback and market insights.
• The complete IP business cycle from evaluation through design win and production success.

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.

Tenstorrent is seeking a SoC Physical Design Verification Engineer to drive full-chip signoff and ensure manufacturable, high-quality silicon across advanced technology nodes. You’ll lead physical verification closure (DRC, LVS, ERC, etc.), debug issues using standard industry PV tools, and collaborate across RTL, PD, CAD, and packaging teams to achieve successful tapeouts. If you thrive in a fast-paced environment and enjoy solving complex challenges in cutting-edge silicon, we’d love to hear from you.

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

We welcome candidates at various experience levels for this role. 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

• A seasoned engineer with a strong background in CPU/IP/SoC physical verification and tapeout closure.
• A hands-on problem solver who excels at debugging and driving signoff through complex verification flows.
• A collaborative team player who works effectively across RTL, PD, CAD, and foundry interfaces.
• A mentor and technical leader passionate about building efficient, manufacturable silicon.
  
  

What We Need

• BS/MS in Electrical/Electronics Engineering (or related) with 7–14 years of hands-on CPU/IP/SoC physical verification experience.
• Proven expertise in DRC, LVS, ERC, PERC, Antenna, and DFM verification using industry-standard tools and flows (Calibre, ICV, Pegasus, FC, Innovus, etc.).
• Strong background in ESD planning, padring integration, bump/RDL strategies, and reliability analysis (IR drop, EM), with solid understanding of advanced nodes (7nm, 5nm, 3nm) and FinFET design challenges.
• Scripting proficiency in Python and TCL for automation and flow optimization.

What You Will Learn

• Advanced physical verification methodologies and flow optimization for next-generation SoCs.
• Integration and verification strategies for full-chip signoff across advanced process technologies.
• Cross-functional collaboration across design, CAD, and foundry teams to ensure flawless tapeouts.
• Leadership and mentoring opportunities in building scalable PV methodologies and automation.

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. 

• Experienced compiler engineer with deep knowledge of GCC and LLVM internals, comfortable optimizing for custom hardware targets.
• Strong C/C++ developer with a solid grasp of algorithms, data structures, and performance analysis.
• Collaborative and analytical, able to work across hardware and software domains to deliver efficient, high-performance toolchains.
• Passionate about enabling breakthrough compute architectures through compiler innovation and software-hardware co-design.

• Design, develop, and optimize GCC and/or LLVM compilers for Tenstorrent’s custom RISC-V hardware and AI vector engines.
• Contribute to the co-design of Tenstorrent’s hardware and software stack to maximize performance and programmability.
• Benchmark, analyze, and tune performance of core applications across RISC-V and AI software environments.
• Collaborate with ML engineers to identify and implement compiler support for emerging AI workloads and frameworks.

• How compiler design directly impacts the performance and efficiency of next-generation RISC-V and AI architectures.
• Advanced techniques in hardware-software co-optimization and compiler-driven performance tuning.
• Integration of custom compilers with leading ML frameworks and runtime environments.
• The end-to-end toolchain flow that enables Tenstorrent’s scalable, high-performance AI compute systems.

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.

Tenstorrent is seeking a senior High Speed Interconnect / Signal Integrity Engineer to design and validate high-bandwidth links for large-scale AI systems. You will define, model, and qualify interconnect solutions across copper and optical technologies for next-generation AI inference and training clusters. 

This role is on-site in Santa Clara, CA, Austin, TX, or Toronto, Canada.

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 electrical engineer with a Bachelor’s or Master’s in Electrical Engineering.
• 5+ years working on high-speed communications (100G–1.6T), including signal integrity, channels, and links.
• Comfortable building and owning link and channel budgets and making clear tradeoffs between reach, loss, BER, and margin.
• Hands-on with SI tools and lab equipment such as Keysight ADS, VNAs, TDRs, BERTs, and protocol analyzers.
• Familiar with cable specification and testing, as well as accelerated life testing, mating life, and failure analysis.
• Able to collaborate across hardware, systems, and manufacturing teams; manufacturing/DFM/DTM experience is a plus.

What We Need

• Define and specify high-speed interconnect architectures between systems within large AI clusters.
• Develop requirements, validation plans, and test strategies for passive and active copper cables and optical transceivers at 100G, 400G, 800G, and 1.6T.
• Document topologies, routing assumptions, and cable requirements for internal and customer-facing clusters.
• Perform link and channel budget analysis, including loss, jitter, eye margin, and BER considerations across PVT and aging.
• Lead and execute qualification and reliability testing, including accelerated life testing, mating life, and failure analysis for interconnect components.
• Interface with key industry suppliers, track their roadmaps, and align Tenstorrent’s system designs to future interconnect capabilities.

What You Will Learn

• How to design and validate interconnects for large-scale AI training and inference clusters, spanning multiple generations of Tenstorrent silicon and systems.
• Practical methodologies for closing SI margins at cutting-edge speeds (up to 1.6T) across diverse media (backplane, copper cable, optics).
• How to translate supplier roadmaps and standards into concrete system requirements and deployment constraints for real customer workloads.
• End-to-end exposure to AI system architecture, from rack-level topology choices down to connector, cable, and transceiver details, in collaboration with world-class AI hardware and systems teams.

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.

Tenstorrent’s AI Software Infrastructure team builds the platforms that power internal development, orchestrate workloads, and manage large-scale AI hardware across on-prem data centers. This team develops and productionizes infrastructure used both internally and externally on Tenstorrent systems.

This role is hybrid, based out of Toronto, ON; Santa Clara, CA; Austin, TX; Belgrade, Serbia; Warsaw, Poland; or Gdańsk, Poland.

We welcome candidates at various experience levels for this role. 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

• Strong backend or infrastructure engineer with experience building and operating platforms on bare-metal or on-prem systems.
• Deep experience with Kubernetes, including cluster provisioning, operations, and debugging production issues.
• Proficient in Python or Go with experience building APIs and services.
• Comfortable with Linux systems, networking fundamentals, and debugging distributed systems.
• Collaborative and adaptable, able to work across teams in fast-moving environments.

What We Need

• Design, build, and maintain infrastructure platforms for development workflows, workload orchestration, and ML services.
• Develop APIs and services that enable internal teams to interact with infrastructure systems.
• Productionize and scale Kubernetes-based platforms, including cluster management and operational maturity.
• Integrate automation workflows using CI/CD pipelines and infrastructure-as-code tools such as Ansible and GitOps frameworks.
• Collaborate with SRE, infrastructure, and deployment teams to support large-scale on-prem and customer-facing environments.

What You Will Learn

• How large-scale AI infrastructure is built and operated on custom accelerator hardware.
• Advanced Kubernetes patterns including operators, controllers, and production-scale cluster management.
• How on-prem data center infrastructure differs from cloud-native environments at scale.
• How infrastructure platforms evolve from internal tools to production-grade external systems.
• How cross-functional teams coordinate to deploy and support AI systems in real-world environments.

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.

We are seeking an IP Software Generalist to develop and optimize the software stack for our IP customers, enabling them to successfully integrate our AI and RISC-V hardware into their systems. In this role, you will build and support a versatile range of software components, from bare-metal firmware and drivers to system-level tools and APIs, ensuring a seamless customer experience. You will partner closely with hardware engineering, IP delivery, customer support, and product teams to deliver robust, scalable, and high-performance software solutions tailored to diverse customer architectures. Success in this role requires adaptability, strong system-level debugging skills, and the ability to bridge the gap between complex hardware IP and user-friendly software integration.

This role is hybrid, based out of Austin, TX; Toronto, ON; or Santa Clara, CA.

We welcome candidates at various experience levels for this role. 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

• Experienced software engineer with a strong foundation in C/C++, system programming, and low-level software design.
• Background in firmware, device drivers, embedded systems, or hardware-software co-design.
• Skilled at navigating and troubleshooting complex, full-stack software environments.
• Known for working effectively with cross-functional teams and external customers to resolve integration challenges.
• Able to balance versatile, hands-on coding with high-level architectural problem-solving.

What We Need

• Develop, optimize, and maintain software components for Tenstorrent’s hardware IP offerings.
• Define and build reference software, SDKs, and toolchains to streamline the customer integration process.
• Diagnose and resolve complex hardware/software interaction issues during customer bring-up and deployment.
• Drive the creation of high-quality documentation, test suites, and integration guides for IP software deliverables.
• Partner cross-functionally with hardware and architecture teams to ensure future IP designs are optimized for software usability.

What You Will Learn

• How to build and deploy robust software stacks for cutting-edge AI and RISC-V silicon IP.
• How to drive successful hardware-software integration across a diverse range of customer environments and architectures.
• Firsthand exposure to the complete silicon IP lifecycle, from initial bring-up to massive-scale customer deployment.

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.

Tenstorrent is seeking an experienced EDA/PDK CAD Engineer to build and maintain world-class design infrastructure that accelerates our silicon innovation. In this role, you'll install and optimize PDKs, manage EDA tool flows, and partner with analog, digital, and software teams to continuously improve design efficiency. If you're passionate about solving complex CAD challenges and enabling cutting-edge chip design, we want you on our team.

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

We welcome candidates at various experience levels for this role. 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

• A self-driven problem solver with deep knowledge of PDKs, EDA tools, and IC design flows.
• Experienced in troubleshooting complex CAD issues and developing creative work-around solutions.
• Collaborative communicator who actively seeks feedback to improve team productivity.
• Passionate about challenging industry-leading tools and methodologies to drive continuous improvement.

What We Need

• BS, MS, or Ph.D. in Electrical Engineering and/or Computer Science with 5+ years of industry experience.
• Hands-on expertise installing, configuring, and maintaining PDKs and EDA environments.
• Strong background supporting physical verification flows (DRC, LVS, EM/IR, extraction) and mixed-signal simulation.
• Proven ability to work with vendors, foundries, and cross-functional teams to resolve technical issues.

What You Will Learn

• How to architect and scale design infrastructure for state-of-the-art AI silicon development.
• Advanced techniques for optimizing EDA flows across analog, digital, and mixed-signal domains.
• Direct collaboration with world-class engineers to shape tools and methodologies that define industry standards.
• Best practices for proactive CAD support and continuous flow improvement in a fast-paced innovation environment.

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.

Tenstorrent is seeking a talented Physical Design Engineer to implement high-performance blocks for our industry-leading CPU and AI/ML architectures. You'll own the complete implementation flow from synthesis to tapeout, working alongside world-class engineers to push the boundaries of performance, power, and area. If you're passionate about crafting silicon that powers the future of AI computing and thrive on solving complex design challenges, we want you on our team.

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

We welcome candidates at various experience levels for this role. 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

• A hands-on engineer with deep expertise in SOC/ASIC physical design and a track record of successful tapeouts.
• Passionate about optimizing PPA through innovative implementation techniques and close RTL collaboration.
• Strong problem solver who excels at debugging complex issues across design hierarchies.
• Collaborative team player who thrives in fast-paced, technically challenging environments.

What We Need

• BS/MS/PhD in EE/ECE/CE/CS with proven experience in synthesis, PnR, and timing closure on taped-out designs.
• Expertise with industry-standard tools (FusionCompiler, PrimeTime, RedHawk) and scripting languages (Tcl, Perl, Python).
• Deep understanding of advanced node challenges and low-power design techniques (power gating, multi-Vt, voltage scaling).
• Experience driving physical design requirements from early architecture through final signoff.

What You Will Learn

• How to implement cutting-edge AI accelerators, high-performance CPUs and the SOCs that host them on the most advanced process nodes.
• Innovative PPA optimization techniques and methodologies for next-generation chiplet architectures.
• End-to-end ownership from flow development to signoff in collaboration with architecture and IP teams.
• Direct impact on products that are redefining the landscape of AI and high-performance computing.

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.

Tenstorrent is seeking talented Physical Design Engineers to implement high-performance partitions for an industry-leading AI SOC. You'll own the complete implementation flow from synthesis to tapeout, working alongside world-class engineers to push the boundaries of performance, power, and area. If you're passionate about crafting silicon that powers the future of AI computing and thrive on solving complex design challenges, we want you on our team.

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

We welcome candidates at various experience levels for this role. 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

• Experienced with synthesis and place-and-route flows, especially using Synopsys Design Compiler / Fusion Compiler and IC Compiler II.
• Comfortable in a small, cross-functional physical design team, owning a block or subsystem and partnering on tapeout milestones with clear communication and accountability.
• Ideally bring extra depth in areas such as UPF/multi-voltage power domains, SoC interface IP integration (e.g. I3C, UART), signoff breadth (DRC/LVS, EM/IR, LEC/Formality), multi-clock/CDC-aware implementation, PLL/DLL integration, and DFT-aware physical implementation (OCC/MBIST).

What we need

• Execute synthesis, PNR, and STA for assigned partitions of a complex AI SoC.
• Help close EM/IR, ensure UPF power intent is consistent with implementation, and drive LEC and physical verification signoff for your partitions in coordination with methodology owners.
• Work closely with architects, RTL designers, and DFT engineers to resolve implementation and signoff issues across your blocks.

What you will learn

• How to implement and close AI SoC partitions end-to-end, including power intent, timing, and physical signoff in a modern Synopsys-based flow.
• Deeper expertise across signoff domains: EM/IR, DRC/LVS, logical equivalence (LEC/Formality), and CDC-aware implementation on meaningful production blocks.
• Practical integration of analog/mixed-signal macros (PLL/DLL), DFT features (OCC/MBIST), and SoC interface IP within advanced physical design flows and collaborative tapeout environments.

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. 

We’re looking for a Timing Engineer to join our silicon team. In this role, you’ll drive static timing analysis and closure for complex, high-performance designs. You’ll collaborate closely with logic, DFT, and physical design teams to debug constraints, optimize paths, and ensure our chips meet performance targets across corners and modes.

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

We welcome candidates at various experience levels for this role. 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

• Experienced in STA and passionate about enabling silicon to meet aggressive performance goals.
• Analytical and detail-oriented, with a strong understanding of timing paths, constraints, and optimization strategies.
• A collaborative team player who works well across logic, DFT, and physical design boundaries.
• Resourceful and self-driven, capable of developing scripts and methodologies that improve timing closure workflows.

What We Need

• 7+ years of industry experience and a proven record of successful tapeouts.
• Deep knowledge of STA tools and techniques, including noise, crosstalk, and OCV analysis.
• Proficiency in writing and debugging SDC constraints, creating ECOs, and developing closure strategies.
• Strong scripting skills in Python, Perl, and TCL to support automation and flow development.
• Familiarity with SPICE modeling and worst-case corner analysis.

What You Will Learn

• How to close timing on Tenstorrent’s high-performance RISC-V CPUs and AI SoCs.
• Advanced STA methodologies tailored to modern sub-micron process technologies.
• How to collaborate with world-class engineers across RTL, DFT, and physical design teams.
• How to influence chip performance through timing methodology innovation and automation.

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.

Our Tensix team is building custom AI compute cores, RISC-V CPUs, and chiplet-based architectures for datacenter, edge, and automotive AI. Design Verification Engineers on this team validate compute IP and subsystems and build scalable DV infrastructure to keep verification fast, automated, and production-grade.

This role is hybrid, based out of Toronto, ON or Austin, TX.

We welcome candidates at various experience levels for this role. 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

• Experienced in modern verification methodologies with strong SystemVerilog skills and exposure to structured testbench development.
• Comfortable working from block-level to system-level verification and reasoning about microarchitecture behavior from specs and waveforms.
• Proficient in Linux environments with Python, or Bash scripting for automate builds, parse logs, manage CI pipelines.
• Skilled in coverage-driven verification and confident debugging across RTL, testbench, and workload scenarios.
• Motivated by AI hardware and eager to learn verification strategies for new architectures and domains.

What We Need

• Contribute to verification of Tensix IP and subsystems from early planning through tape-out, owning coverage goals and driving them to closure.
• Build and maintain reusable verification environments, agents, scoreboards, and supporting infrastructure in SystemVerilog and Python.
• Develop constrained-random and directed tests and close functional, code, and assertion coverage using data-driven approaches.
• Debug complex issues across RTL and testbench while collaborating with design, firmware, compiler, and architecture teams.
• Help evolve DV infrastructure including regression flows, CI/CD integration, EDA compute environments, and reproducible setups.

What You Will Learn

• How Tenstorrent verifies AI-native compute architectures including Tensix cores, RISC-V CPUs, matrix units, vector units, and datapath.
• How simulation, emulation, and software-driven workloads combine to validate both functional correctness and performance.
• How numerical precision formats such as BF16, FP4, and INT8 and on-chip dataflow impact verification complexity and coverage strategy.
• How to build scalable DV infrastructure across hybrid compute environments including containerized regression systems.
• How data analytics and modern AI tooling can enhance verification workflows and accelerate convergence.

Tenstorrent is seeking a Signal Integrity Engineer to join our growing team. The ideal candidate will have a wealth of exposure designing high speed interconnects, breakout design, material trade-offs and verification. A background in electrical engineering, electronics or relevant fields is required. Must love all things high speed!

This role is hybrid, based out of Santa Clara, CA or Austin, TX or Toronto, ON.

We welcome candidates at various experience levels for this role. 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

• You have a Bachelor’s degree in Electrical Engineering (or equivalent) and 5+ years working in high-speed digital design with a focus in high-speed PCB or package design at 10Gbps and above (e.g. 100GbE, GDDR6, PCIe Gen5+).
• You’re comfortable working with high-speed performance metrics such as ICR, ERL, COM, NEXT, and FEXT as well as knowledge of high-speed connector technologies, including NPO, CPO, and emerging standards.
• You are proficient with PCB ECAD tools (ideally Cadence Allegro).
• You communicate clearly (written and verbal), think critically, and love solving complex signal integrity problems.
• You’re enthusiastic about all things high speed and enjoy collaborating across teams

What We Need

• Design, extract, and simulate complex breakout structures, including end-to-end simulations and validation against physical hardware. Perform simulation and extraction of board models for both SI and PI.
• Contribute to design and sign-off with internal and external ASIC packaging teams, ODMs, and internal layout teams. Create design specifications, work with external vendors, and drive adoption of new interconnect and packaging technologies.
• Actively participate in design reviews, providing insight from your SI/PI expertise and a broader system perspective.
• Support post-silicon bring-up and help troubleshoot production and field failures related to signal and power integrity. Document design processes and provide training/knowledge sharing to other team members.

What You Will Learn

• How to work at the cutting edge of high-speed interconnects, influencing the next generation of ASIC packaging and PCB architectures.
• Deep exposure to advanced ASIC packaging flows and collaboration models with internal and external packaging teams.
• Hands-on experience with emerging high-speed connector technologies and materials, including evaluating material trade-offs for performance and manufacturability.
• Best practices for end-to-end SI/PI validation, from simulation through to lab correlation, post-silicon bring-up, and field failure analysis.

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.

Tenstorrent is seeking a highly skilled and experienced Engineer to lead post-silicon power characterization and correlation activities for cutting-edge semiconductor products. In this role, you will be responsible for developing and executing detailed power measurement strategies on silicon, correlating results with pre-silicon models, and driving improvements across power architecture, design, and modeling methodologies. You will serve as a key technical leader, interfacing across design, architecture, validation, and systems teams to ensure silicon meets power and performance specifications under all operating conditions.

This role is hybrid, based out of Toronto, ON or Austin, TX or Santa Clara, CA.

We welcome candidates at various experience levels for this role. 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

• A Principal-level engineer with 8+ years in silicon power analysis and characterization, and a Master’s or PhD in EE, CE, or related field.
• Deep understanding of digital and mixed-signal power domains, including DVFS, leakage vs. dynamic power, and power gating.
• Highly proficient in lab-based power measurement using oscilloscopes, current probes, power analyzers, and SMUs, plus Python/Perl/MATLAB for automation and analytics.
• A strong debugger and collaborator, comfortable driving cross-functional investigations and clearly communicating technical findings.

What we need

• Own the post-silicon power measurement strategy end-to-end across operating modes, voltages, frequencies, and workloads.
• Build and maintain lab infrastructure, automated workflows, and data analysis pipelines for high-fidelity, repeatable power characterization.
• Correlate silicon power data to pre-silicon models (RTL, gate-level, sign-off), drive root-cause analysis, and refine power estimation methodologies with design and modeling teams.
• Characterize power across PVT corners and work with bring-up/validation teams to develop test content, debug power anomalies, and ensure products meet power and performance specs.

What you will learn

• How state-of-the-art SoCs behave in real silicon across diverse workloads, system configurations, and operating conditions.
• How to influence power architecture, RTL design, and modeling flows by feeding silicon insights directly back into early design phases.
• Best practices for building scalable, automated post-silicon power infrastructures that support multiple products and generations.
• Advanced correlation, margining, and variability analysis techniques that deepen your expertise in both SoC-level power and system-level behavior.

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.

We are seeking a junior-to-mid level SOC Emulation Engineer to support our hardware emulation infrastructure and internal chip design teams. This role focuses on integrating vendor and custom hardware transactors, developing Python-based test frameworks, and providing technical support to emulation users across multiple chip projects.

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

We welcome candidates at various experience levels for this role. 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

• Background in Electrical/Computer Engineering or Computer Science with 1-3 years of experience in chip design, verification, or emulation.
• Proficient in Python for automation and test development, with a working knowledge of C++ and the ability to navigate SystemVerilog RTL.
• Skilled at using modern AI tools (Claude, ChatGPT, Copilot) to accelerate code generation, debugging, and documentation analysis.
• Energetic about supporting diverse teams, from high-level software to low-level firmware, to solve complex runtime and build issues.

What We Need

• Ability to integrate vendor and custom transactors into RTL testbenches while handling clock domain and tri-state resolution.
• Experience building Python APIs (using pybind11) and maintaining CMake-based compilation flows for emulation libraries.
• Solid understanding of standard chip interfaces, bus protocols, and hardware synchronization (resets/clocking).
• A commitment to triaging and debugging the full stack, spanning from Python tests and C++ bindings down to hardware.

What You Will Learn

• Deepening your expertise with world-class platforms like Synopsys Zebu for massive-scale silicon validation.
• Gaining a holistic view of chip development by bridging the gap between hardware RTL and software drivers.
• Building and optimizing large-scale emulation build and run tooling for high-performance engineering teams.
• Refining your ability to gather requirements and facilitate communication between hardware designers and software engineers.

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.

Tenstorrent is seeking a SoC Physical Design Verification Engineer to drive full-chip signoff and ensure manufacturable, high-quality silicon across advanced technology nodes. You’ll lead physical verification closure (DRC, LVS, ERC, etc.), debug issues using standard industry PV tools, and collaborate across RTL, PD, CAD, and packaging teams to achieve successful tapeouts. If you thrive in a fast-paced environment and enjoy solving complex challenges in cutting-edge silicon, we’d love to hear from you.

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

We welcome candidates at various experience levels for this role. 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

• A seasoned engineer with a strong background in CPU/IP/SoC physical verification and tapeout closure.
• A hands-on problem solver who excels at debugging and driving signoff through complex verification flows.
• A collaborative team player who works effectively across RTL, PD, CAD, and foundry interfaces.
• A mentor and technical leader passionate about building efficient, manufacturable silicon.
  
  

What We Need

• BS or MS in Engineering (Electrical, Electronics, or related field).
• 7–14 years of hands-on experience in CPU/IP/SoC physical verification.
• Strong command of industry-standard tools and flows (Calibre, ICV, Pegasus, FC, Innovus, etc.).
• Proven expertise in DRC, LVS, ERC, PERC, Antenna, and DFM verification.
• Solid understanding of advanced node challenges (7nm, 5nm, 3nm) and FinFET design considerations.
• Scripting proficiency (Python, TCL) for automation and flow optimization.
• Familiarity with ESD planning, padring integration, bump/RDL strategies, and reliability analysis (IR drop, EM).
  
  

What You Will Learn

• Advanced physical verification methodologies and flow optimization for next-generation SoCs.
• Integration and verification strategies for full-chip signoff across advanced process technologies.
• Cross-functional collaboration across design, CAD, and foundry teams to ensure flawless tapeouts.
• Leadership and mentoring opportunities in building scalable PV methodologies and automation.
  
  

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.

Tenstorrent is seeking an exceptional Senior-level SoC Physical Design Engineer to drive top-level implementation of our complex AI and CPU SoC designs. You'll orchestrate cross-disciplinary collaboration, implementing sophisticated floorplans, power grids, and clock networks while ensuring design closure at the chip level. If you excel at managing the complexity of full-chip physical design and want to deliver next-generation AI hardware, we need your expertise.

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

We welcome candidates at various experience levels for this role. 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

• A seasoned physical design engineer who thrives on complex, full-chip implementation challenges.
• Expert at collaborating across disciplines, working effectively with architecture, RTL, and packaging teams.
• Passionate about optimizing chip-level implementations for power, performance, and area.
• Detail-oriented professional who drives design closure while maintaining quality and meeting aggressive schedules

What We Need

• 8+ years of top-level SOC physical design experience on complex, multi-million gate designs.
• Deep expertise in hierarchical floorplanning, fabric implementation, power grid design, and global clock distribution.
• Proven track record with bump planning, RDL implementation, and multi-voltage domain designs.
• Mastery of timing closure, EM/IR analysis, and physical verification at the chip level.

What You Will Learn

• How to implement cutting-edge AI accelerators and high-performance CPUs at the SOC level.
• Advanced techniques for chiplet integration and next-generation packaging co-design.
• Strategies for optimizing massive designs with complex power domains and clock architectures.
• Methods for driving successful chip-level closure through effective cross-functional collaboration.

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.

• Leadership to drive compiler development across multiple layers of the stack, including custom dialects, transformation passes, and runtime integration.
• Alignment with hardware, software, and ML teams to ensure the compiler supports realistic performance and deployment needs.
• Technical ownership of roadmap priorities, planning, and mentorship for a high-performing engineering team.
• Insight to identify bottlenecks, debug performance issues, and improve developer workflows across the stack.

• Experience building compilers or similar systems, with strong fluency in C++ and Python.
• Strong knoweledge of MLIR, LLVM, or related infrastructure, with hands-on work in dialect design or optimization passes.
• You have a strong understanding of modern AI frameworks like PyTorch, TensorFlow, or JAX, including how models are transformed and executed.
• A background in working across teams to ship reliable, scalable tools in fast-paced engineering environments.

• How to build compiler infrastructure that supports both training and inference at scale across custom chip architectures.
• New approaches for human-in-the-loop optimization using TT-Explorer and other internal tooling.
• Best practices for evolving MLIR dialects like TTIR, TTNN, and TTKernel to support next-generation AI workloads.
• How Tenstorrent delivers open, performant, and developer-friendly AI infrastructure that scales with industry demands.

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.

As a Software Engineer on the Metal Runtime team at Tenstorrent, you’ll work on the low-level software that powers our AI accelerators. You’ll design fast, efficient runtime systems that run close to the hardware, and define the host and device APIs that expose these capabilities to the rest of the software stack. We believe APIs are a core part of systems design: they encode hardware semantics, performance tradeoffs, and concurrency models, and they live longer than any single implementation.

If you enjoy pushing performance, working close to the metal, and designing abstractions that make complex systems usable without sacrificing control, this is your kind of role.

This role is hybrid, based out of Santa Clara, CA; Austin, TX; Toronto, ON.

We welcome candidates at various experience levels for this role. 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

• Strong coder in C or C++, and enjoy working close to hardware.
• Comfortable thinking in terms of threads, processors, and memory movement.
• Care deeply about API design, abstraction boundaries, and developer experience in low-level systems.
• Experienced (or interested in) designing libraries or interfaces used by other engineers.
• Think about long-term maintainability, usability, and clarity when designing systems.
• Curious about how runtimes and bare-metal software come together to power AI.
• Collaborative by nature and enjoy solving tough problems with smart people.

What We Need

• Design and evolve host and device APIs that expose Metal runtime capabilities clearly and efficiently.
• Translate low-level hardware behavior into intuitive, high-performance abstractions.
• Collaborate closely with runtime, kernel, and higher-level software teams to align API design with real-world usage.
• Ensure APIs balance performance, control, safety, and ease of use.
• Contribute to runtime implementation where needed to support API design and integration.
• Debug, analyze, and improve usability and performance across the software stack.

Nice to have:

• Experience designing or evolving non-trivial C++ APIs used by other engineers.
• Familiarity with APIs for accelerator systems (e.g., CUDA, SYCL, Vulkan, or similar).

What You Will Learn

• How to design APIs and abstractions for cutting-edge AI hardware.
• How to balance performance, control, and usability in low-level system design.
• How to translate hardware capabilities into clean, developer-friendly interfaces.
• Best practices for building maintainable, high-performance systems software.
• How software and hardware co-evolve in a fast-paced AI startup.

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.