FEQ327R171

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximize the value they get from our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organization. You will report directly to a DSA Manager within the Field Engineering organization. 

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritized customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to production/go-live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert-level technical experts to build the right tasks that are beyond your scope of activities or expertise
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
• Main use cases moving from ‘win’ to production
• Enablement / user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

• 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
• Programming experience in Python, SQL or Scala 
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related to distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management including account, stakeholder and resource management accountability
• Experience resolving complex and important escalation with senior customer executives
• Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programs/projects
• Track record of overachievement against quota, goals, or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

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. 

FEQ327R171

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximize the value they get from our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organization. You will report directly to a DSA Manager within the Field Engineering organization. 

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritized customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to production/go-live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert-level technical experts to build the right tasks that are beyond your scope of activities or expertise
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
• Main use cases moving from ‘win’ to production
• Enablement / user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

• 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
• Programming experience in Python, SQL or Scala 
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related to distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management including account, stakeholder and resource management accountability
• Experience resolving complex and important escalation with senior customer executives
• Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programs/projects
• Track record of overachievement against quota, goals, or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

FEQ327R171

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximize the value they get from our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organization. You will report directly to a DSA Manager within the Field Engineering organization. 

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritized customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to production/go-live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert-level technical experts to build the right tasks that are beyond your scope of activities or expertise
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
• Main use cases moving from ‘win’ to production
• Enablement / user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

• 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
• Programming experience in Python, SQL or Scala 
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related to distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management including account, stakeholder and resource management accountability
• Experience resolving complex and important escalation with senior customer executives
• Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programs/projects
• Track record of overachievement against quota, goals, or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

FEQ327R171

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximize the value they get from our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organization. You will report directly to a DSA Manager within the Field Engineering organization. 

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritized customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to production/go-live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert-level technical experts to build the right tasks that are beyond your scope of activities or expertise
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
• Main use cases moving from ‘win’ to production
• Enablement / user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

• 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
• Programming experience in Python, SQL or Scala 
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related to distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management including account, stakeholder and resource management accountability
• Experience resolving complex and important escalation with senior customer executives
• Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programs/projects
• Track record of overachievement against quota, goals, or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

The Opportunity

As a Capital Credit Manager, Underwriting and Portfolio Management, you will be a core member of Flexport Capital’s credit team, managing a large book of 40–60+ accounts spanning SMB, mid-market and enterprise borrowers. You will independently underwrite IF, LF, Term Loan and ABL deals. You will help drive the management of distressed credits and workouts, design policies and SOPs for new products, as well as architect the analytical frameworks that drive portfolio monitoring. This is a hands-on role where you own the full credit lifecycle, from underwriting through ongoing portfolio monitoring and client communication. You’ll help drive process improvements, and contribute to our risk scoring model development, all while building deeper expertise in Flexport’s freight, fulfillment and customs operations.

You Will

• Own a Large, Complex Portfolio: Manage 40–60+ accounts with topline revenues up to ~$75M and credit limits up to $5M. You will handle accounts across the CRR spectrum, including credits showing early signs of distress that require proactive intervention and creative deal restructuring.
• Underwrite Deals Independently: Handle IF/LF, Term Loan and ABL underwriting end- to-end. Design covenants, milestone-based step-ups, and restructure proposed deals to match credit’s risk appetite.
• Resolve Complex Credit Problems: Interpret ambiguous financials, seasonal revenue swings, multi-entity structures, improving-but-weak trajectories, and exercise judgment in recommending policy exceptions with clear risk/reward framing. Identify when a deal structure won’t work and reconstruct it proactively before it reaches the Investment Committee.
• Lead Client Diligence & Communication: Run diligence calls with CFOs and controllers of SMB and smaller mid-market companies. Push back on BD submissions with data and facts. Present credit recommendations to the Investment Committee with guidance from the Head of Credit. Own the end-to-end credit relationship with your clients.
• Drive Process Improvements: Develop systematic improvements to credit operations —redesigning BD and UW workflows to reduce friction, establishing lien filing optimization, and creating monitoring spot-check systems. Lead projects beyond individual account management that make the entire team more effective.
• Contribute to Credit Analytics & CRR Development: Contribute to CRR model development including financial ratio calibration and risk weight tuning. Design and maintain portfolio monitoring dashboards, and help build automations for repetitive credit operations.
• Manage Compliance & Lien Operations: Independently manage UCC filings, amendments, and lien perfection across US and international jurisdictions. Lead quarterly lien audit and security review processes. Ensure portfolio-wide compliance with BlackRock facility covenants and eligibility criteria, and drive expansion of secured coverage.

You Should Have

• 5–7 years of experience in commercial lending, credit risk, or portfolio management. Trade finance, working capital, or inventory financing experience is highly preferred.
• Independent Underwriting Capability: You can independently underwrite IF/LF and Term Loan facilities end-to-end. You understand advance rates, covenant design, borrowing base fundamentals, lien priority, and UCC filing procedures. Proficiency in ABL fundamentals is a strong plus.
• Credit Judgment & Problem Solving: Demonstrated ability to interpret ambiguous financials, recommend policy exceptions with clear risk/reward framing, and proactively restructure deals that don’t make credit sense. You don’t just flag problems—you come with solutions.
• CRR & Risk Model Awareness: You understand why automated credit risk rating outputs sometimes diverge from qualitative reality and can propose specific recalibration adjustments such as financial ratio breakdowns and chart tuning.
• Client-Facing Confidence: Comfortable leading diligence calls with CFOs and controllers, pushing back on BD submissions with data, and presenting credit recommendations to the Investment Committee.
• Technical & Analytical Skills: SQL proficiency (complex queries, analytical views). Python for analysis scripts, financial modeling, and portfolio reporting is a strong plus. Experience with Looker, GSheets dashboards, or automation tools (Parabola, Airtable, n8n) preferred.
• Mentorship & Collaboration: Proven ability to guide junior analysts on credit approach and technical questions. You are a team player who makes colleagues better and can coordinate effectively with Legal, BD, and Operations.
• Education: Bachelor’s degree in Finance, Business, Economics, or a related field. MBA, CFA, or FRM is a plus.

The Opportunity

Flexport is building the future of global fulfillment—and we’re looking for a Sr. Manager, Strategic Initiatives who wants to be at the center of that transformation. This is not a traditional management role. You will be the architect of tomorrow’s Flexport Fulfillment network: designing processes, building products, and creating the standards that will define how we operate at scale.

You’ll sit at the intersection of operations, product, and technology, working across all functions to identify gaps, design solutions, and bring them to life. We want someone who thrives in ambiguity, loves solving highly technical problems, and isn’t afraid to get hands-on—whether it’s building a new workflow in SQL, prototyping a tool, or architecting the next phase of our operating model.

If you want to make a lasting impact by building something from the ground up—and have the technical, operational, and strategic chops to do it—this is the role for you.

What You’ll Do

Architect the Future of Fulfillment

• Design, standardize, and codify the processes, products, and tools that will power Flexport’s next generation fulfillment network.
• Define operating models that can scale globally, balancing efficiency, cost, speed, and customer experience.

Build, Not Just Manage

• Own initiatives end-to-end: from diagnosing the problem, designing the solution, building prototypes, and driving implementation.
• Develop tooling, dashboards, and models directly—leveraging SQL, Python, BI platforms, and workflow automation.

Leverage Data for Strategic Planning

• Use data to uncover bottlenecks, quantify opportunities, and make recommendations that drive millions in cost savings and unlock new service capabilities.
• Build forecasting and scenario planning models to guide long-term network design and capacity planning.

Be a Cross-Functional Force Multiplier

• Partner with engineering, product, operations, finance, and commercial teams to align on priorities, build solutions, and scale them across the network.
• Translate operational pain points into product requirements and ensure adoption of new tools and processes.

Standardize the Network

• Establish and roll out SOPs, reporting cadences, and KPIs that become the backbone of Fulfillment execution.
• Drive governance and accountability around execution, ensuring every site runs on the same playbook.

Drive Strategic Initiatives at Scale

• Lead high-impact, white-space projects (automation, robotics, B2B/Retail compliance, international expansion) that redefine the limits of what Flexport Fulfillment can deliver.
• Develop and execute multi-year roadmaps in partnership with senior leadership.

You Should Have

• 7–10+ years of experience in fulfillment, logistics, supply chain, or operations strategy—ideally with direct exposure to high-volume networks.
• Extremely strong technical skillset: SQL (expert), Excel/Google Sheets (advanced), BI tools (Looker, Tableau, PowerBI), and preferably Python or R for modeling and automation.
• A proven record of designing and implementing scalable processes/products that delivered measurable business impact.
• Strong strategic thinking, with the ability to connect day-to-day execution to P&L drivers and long-term vision.
• Entrepreneurial mindset: thrives in ambiguity, comfortable building from scratch, and naturally biased toward action.
• Executive-level communication skills, with the ability to influence stakeholders across all levels of the organization.
• Bonus: Experience working with robotics, warehouse automation, or building new fulfillment products (B2B, Prep, Returns, Retail compliance).

Why This Role is Different

This role is one of the most independent, entrepreneurial, and impactful within Flexport Fulfillment. You won’t just manage a process—you’ll design and build the future of how we fulfill, scale, and serve customers. Your fingerprints will be on everything from the technology we use to the services we offer.

You’ll have the mandate to experiment, prototype, and standardize at scale—and the support of a leadership team that knows the success of this role will shape the future of Flexport Fulfillment.

The Opportunity:

 As a Senior Credit Analyst, Portfolio Analytics, you will play a pivotal role in Flexport Capital’s portfolio management strategy. This is a hybrid role sitting at the intersection of hands-on credit stewardship and data-driven innovation. You won't just analyze high-level trends; you will actively manage the monthly financial review process, lead diligence on flagged accounts, and own the operational compliance stack. You will be the first line of defense in monitoring portfolio health while simultaneously building the tools and dashboards that make that monitoring scalable.

You Will:

• Lead Portfolio Reviews & Diligence: Manage the monthly financial review process for the entire customer base. You will direct Associate support for data gathering, but you will be responsible for the analysis, knowing exactly what red flags to look for in financial statements.
• Conduct Active Risk Management: Identify deteriorating credits or anomalies and immediately trigger deeper reviews. You will prepare for and lead diligence calls with borrowers to investigate issues and determine necessary actions.
• Prepare Credit Modifications: Evaluate requests from Business Development for line increases, term adjustments, or other modifications. You will be responsible for writing the loan modification templates/memos and providing the credit diligence and justification for your recommendations.
• Own Compliance & Operations: oversee and improve our KYB/KYC, UCC lien filing, and lien management processes. You will ensure strict compliance and proactively suggest new vendors, products, or process improvements to streamline operations.
• Build & Maintain Analytics: Design portfolio monitoring dashboards that aggregate credit, collateral, and operational data. You will continue to use tools (SQL, Python, Looker) to automate data ingestion and anomaly detection.
• Analyze Trends: Monitor borrower and portfolio trends—including CRR migration, LGD, DSO, and exposure concentration—to inform repricing or mitigation strategies.
• Drive Process Improvement: Continuously improve internal reporting and data quality, ensuring our tools serve as a reliable "single pane of glass" for portfolio risk visibility. You will use the available low-code and analytical tools (using SQL, Python, Airtable, Looker, or Power Automate) to automate data ingestion, anomaly detection, and risk flag generation.

You Should Have:

• 3–7 years of experience in commercial lending, credit risk, or portfolio management (Asset-Based Lending or Working Capital experience is highly preferred).
• Hands-on Credit Experience: You have experience manually reviewing financial statements, identifying risk factors, and writing credit memos or loan modification justifications. You are comfortable getting on the phone with a CFO to ask hard questions.
• Operational Knowledge: Familiarity with the mechanics of lending operations, including KYB/KYC regulations, UCC lien perfection, and compliance management.
• Technical Proficiency: Proven experience leveraging data analytics tools (SQL, Power BI, Tableau, Looker) to analyze portfolios.
• Low-Code/Automation Skills: Working knowledge of tools like Power Automate, Airtable, or Zapier to build scalable processes is a strong plus.
• Communication Skills: Excellent verbal and written communication skills to articulate credit rationale to the Risk Committee and partner effectively with BD and Ops.
• Education: Bachelor’s degree in Finance, Business, Data Analytics, or a related field (MBA or CFA is a plus).

 Why Flexport:

You’ll be joining Flexport Capital, a high-velocity fintech unit operating with the agility of a startup and the data advantage of a global logistics leader. This is a hands-on environment for builders, not just observers. You won’t just monitor algorithms, you’ll be in the trenches of deal structuring, operational compliance, and borrower diligence, actively shaping how we lend and recover. You will play a direct role in fusing traditional credit discipline with next-gen analytics, driving our mission to scale asset-based lending while keeping losses under 1.5%. If you’re ready to roll up your sleeves and own the outcome, you belong here.

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.

Summer Internship – IT & Data Analytics Intern (AI/ML Focus) 

Location:                      Irving, TX (On-Site) 
Department:                 Meriton IT & Data Analytics 
Internship Type:          Summer Internship (Full‑Time) 
Reports To:                  Hiring Manager – Meriton Technology & Analytics 

 If you’re looking to make an impact, we’re glad you’re here. At Meriton, you’ll join a team that believes in big ideas, doing great work, and building careers that matter—every step of the way. 

About the Role 

Meriton is seeking a highly motivated IT & Data Analytics Intern with a strong interest in Artificial Intelligence, Machine Learning, and Data Science. This role is ideal for students who enjoy problem‑solving, exploring emerging technologies, and applying analytics to drive insights and operational excellence. 

You’ll work closely with the Meriton technology team to support internal analytics, automation projects, and AI‑driven initiatives that enhance business decision‑making and improve efficiency. 

Key Responsibilities 

AI & Data Analytics 

• Assist in building and evaluating machine learning models, including data preprocessing, feature engineering, and model validation. 

• Use tools such as Cursor, Claude Code, AI Foundry, and similar AI development platforms to prototype automation and analytics solutions. 

• Conduct exploratory data analysis (EDA) on structured and unstructured datasets. 

• Support the creation of dashboards, reports, and visualizations for business stakeholders. 

• Research and recommend AI use cases that align with team strategy and business needs. 

IT & Technical Support 

• Collaborate with IT partners to streamline workflows through scripts, automation, and analytics. 

• Troubleshoot data, system, or integration issues as needed. 

• Document technical processes, workflows, and best practices. 

AI Product & Tooling Initiatives 

• Experiment with generative AI tools to assist with:  

• Query generation 

• Code generation & refactoring 

• Data pipeline development 

• Business insights summarization 

• Workflow automation 

• Partner with team members to test, evaluate, and implement AI‑powered solutions. 

Required Qualifications 

• Currently pursuing a degree in Computer Science, Data Science, Information Systems, Statistics, Engineering, or related fields. 

• Foundational coursework or hands‑on experience in:  

• Artificial Intelligence / Machine Learning 

• Data Science methodologies 

• Python, R, SQL, or similar languages 

• Comfortable working with modern AI coding tools such as:  

• Cursor (AI coding environment) 

• Claude Code / Claude AI 

• AI Foundry or other LLM ops platforms 

• Strong analytical thinking, problem‑solving abilities, and attention to detail. 

• Eagerness to learn, experiment, and adopt emerging technologies. 

Preferred Qualifications 

• Experience with:  

• Jupyter Notebooks 

• Pandas, NumPy, Scikit‑Learn, PyTorch or TensorFlow 

• Git / version control 

• Power BI or Tableau 

• Familiarity with API calls, cloud platforms, or DevOps automation. 

• Prior hands‑on project work involving AI agents, ML modeling, or generative AI use cases. 

Meriton is an equal opportunity employer

Machine Learning Engineer – Inspire11

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

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

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

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

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

 What you can expect in this role: 

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

Tools for success: 

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

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

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

U.S. Compensation & Benefits  

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Assembly Supervisor - 1st Shift (8:00am to 5:00pm)

Overview

US Conec is seeking a hands-on Assembly Supervisor to lead production operations on our 1st Shift team. In this role, you will:

• Oversee daily workflow and guide production employees in a fast-paced manufacturing environment
• Drive improvements in safety, quality, and efficiency across the department
• Coach team members, enforce policies, and collaborate cross-functionally to meet customer deadlines
• Play a key role in process improvement, documentation, and team development

Responsibilities

• Plan and assign work based on the production tracker and shipping schedule
• Monitor workflow and adjust personnel assignments to meet changing priorities
• Coach, counsel, and discipline employees while enforcing company policies and procedures
• Review and approve Manufacturing Process Instructions (MPIs) for accuracy and compliance
• Recommend improvements to production methods, equipment performance, and product quality
• Track and report on cost reduction strategies and operational metrics
• Coordinate with other departments to meet customer order deadlines
• Maintain and approve time and production records; supervise Paylocity time entries
• Interpret company policies and enforce safety regulations across the team
• Suggest changes to working conditions and equipment usage to increase efficiency
• Support training and development of team members and lead substitutes
• Ensure proper documentation of maintenance and process improvements
• Report equipment malfunctions and coordinate with maintenance personnel
• Oversee tool serialization and inventory tracking
• Participate in fixture testing and approval processes with Quality and Engineering teams

Must Haves

• High school diploma or GED required
• Associate degree or 2+ years of experience in a manufacturing environment preferred
• Proven ability to supervise and guide 50–100 production employees
• Strong interpersonal and customer service skills
• Excellent organizational skills and attention to detail
• Ability to work independently and adapt to changing priorities
• Proficiency in Microsoft Office (Excel, Outlook) and timekeeping systems
• Clear communication skills for cross-functional collaboration
• Commitment to safety, documentation accuracy, and continuous improvement

What We Offer

• Competitive compensation with shift-based incentives
• Comprehensive health, dental, and vision insurance plans
• Paid time off and holidays to support work-life balance
• 401(k) retirement savings plan with employer match
• A collaborative, team-based culture focused on growth and development
• Opportunities for leadership training and advancement
• Inclusive workplace with reasonable accommodations for qualified individuals

US Conec will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire. 

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.

FEQ227R170

Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
• Build and present reference architectures, how-tos, and demonstrate applications for customers
• Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
• Travel to meet with customers in your territory

What we look for:

• 6+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
• Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator 
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)

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 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 instrumental in translating Neuralink’s BCI technology for use in people!

Job Description and Responsibilities:

As a Clinical Scientist I, you will support the development, design, and execution of Neuralink’s clinical evidence strategy. This role focuses on translating product and research objectives into clinical study designs, supporting data analysis, and ensuring scientific rigor across clinical programs.

This individual is  a self-driven and analytically strong individual who can contribute to clinical strategy while executing with precision. The ideal contributor is detail-oriented, collaborative, and comfortable working in a fast-paced, multidisciplinary environment.

In this role, you will:

• Support the design and development of clinical study protocols, including endpoints, inclusion/exclusion criteria, and statistical considerations
• Contribute to clinical strategy by translating research and product goals into evidence-generating study plans
• Partner with other team members to support execution of clinical studies and ensure alignment between scientific intent and operational delivery
• Build and maintain strong working relationships with internal teams, investigators, and external partners
• Support preparation of study-related documents, including protocols, investigator brochures, clinical study reports, and regulatory submissions
• Contribute to EDC and CRF design by ensuring alignment between protocol objectives, endpoints, and data collection strategy
• Translate clinical and scientific requirements into structured, high-quality data capture and validation approaches
• Assist in data review, analysis, and interpretation to evaluate safety and performance outcomes
• Contribute to development of abstracts, presentations, and publications
• Support interactions with ethics committees (e.g., IRB, RECs) and regulatory bodies as needed
• Ensure scientific and clinical activities are conducted in compliance with Good Clinical Practice (GCP), applicable regulations, and internal SOPs
• Identify data trends, inconsistencies, or risks and proactively communicate findings to the broader team

Required Qualifications:

• Familiarity with statistical methods or programming (e.g., Python, R)
• 5+ years of experience in clinical research or scientific roles within medical devices or related fields
• Strong analytical and problem-solving skills with the ability to interpret complex data
• Familiarity with clinical study design, endpoints, and data analysis concepts
• Working knowledge of Good Clinical Practice (GCP) and basic regulatory requirements (e.g., ISO 14155)
• Ability to work cross-functionally with clinicians, engineers, and operational teams
• Strong written and verbal communication skills, particularly in scientific and technical contexts
• High attention to detail and ability to manage multiple priorities

Preferred Qualifications:

• Experience with neurological, neurosurgical, or implantable medical device studies
• Experience supporting protocol development, data analysis, or clinical reporting
• Publications or scientific presentations in biomedical engineering or neuroscience
• PhD  in neuroscience, biomedical engineering, or a related field
  

Additional Requirements and Competencies: 

• Willingness to travel (up to ~20–30%) to support site visits, investigator meetings, and study activities
• Strong organizational and documentation skills
• Ability to work independently while collaborating closely with cross-functional teams
• Adaptability and comfort in a fast-paced, high-growth environment
• Commitment to scientific rigor, patient safety, and high-quality evidence generation

Team Description:

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

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

Job Description and Responsibilities:

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

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

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

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

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

Required Qualifications: 

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

Preferred Qualifications:

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

Team Description: 

The Brain Interfaces Soc Department delivers chip architecture and silicon implementation of neural recording and stimulation system-on-chip (SoC) for high-bandwidth brain-machine interface applications. We have crafted a team of exceptional engineers whose mission is to push the frontiers of what is possible today and define the future. 

Job Description & Responsibilities: 

Our Digital IC Design Engineer will be responsible for delivering micro-architecture and register-transfer level (RTL) implementation of digital IPs and systems with a focus in high-throughput low-power digital signal processor (DSP) and general-purpose hardware accelerators towards realizing state-of-the-art brain-computer interfaces. Relevant product development experience in micro-architecture design for low-power processors, on-chip bus and network interfaces, audio/video compression processors, AI/ML accelerators, and communication PHY/MAC will be preferred.

• Micro-architecture design and RTL implementation of: 
• Low-power digital signal processors
• Low-power general-purpose hardware accelerators
• Low-power graphics processing units
• Low-power radio MAC/PHY
• Low-power serial link MAC/PHY
• Design and optimization of hardware/software interface with firmware engineers
• Application-specific architecture optimization including:
• Complex system modeling for energy and performance benchmarks
• Workload analysis and modeling
• Energy/performance profiling and analysis
• Leveraging architecture-level design trade-offs with process technology and workload type
• Balancing cost and performance under manufacturing process variation 
• Collaboration on silicon bring-up tests with verification engineers 

Required Qualifications:

• Bachelor of Science (B.S.) degree in Electrical Engineering and/or Computer Science or a related field, or equivalent experience
• Evidence of exceptional ability in electrical engineering, computer science, or computer engineering
• 5+ years of experience in digital design
• Expertise in SystemVerilog, C/C++, Python
• Experience working on complex digital systems from architecture, microarchitecture, and RTL, using industry standard tools
• Experience in designing digital signal processing pipelines, from algorithm to RTL

Preferred Qualifications: 

• Experience in architecture optimization with process technology customization
• Experience in the verification of complex digital systems, using industry standard tools
• Experience in the physical design of complex digital systems, using industry standard tools
• Experience testing and debugging digital system-on-a-chips
• Functional modeling experience and logic verification with SystemVerilog, SystemC/C++
• Experience automating tool flows
• Experience with embedded design
• Experience in processor instruction set architecture design
• Experience in compiler back-end design and customization

Team Description:

We build the electrical systems that make high-bandwidth brain–computer interfaces possible. This includes neural signal acquisition and stimulation to wireless power delivery, embedded processing, and system integration—all within devices small enough to be implanted in the human body and efficient enough to operate under strict thermal and power constraints. Our work sits at the intersection of analog, RF, digital, and biological systems. Many problems in this space do not present clean abstractions or clear failure modes. Success often depends on careful measurement, iteration, and engineering judgment across multiple interacting systems.

Job Description and Responsibilities:

We are looking for an experienced, hands-on electrical engineer for implant electronics board design, integration with our custom chips, testing, and quality control. You will have the opportunity to contribute to advanced projects, not only work on incremental changes, and be an integral member of a small, fast-moving team. You will be working on all phases of board design (part selection, schematic design, layout, and bring-up) as well as collaborating closely with chip designers, firmware engineers, mechanical engineers, and microfabrication experts for system integration.

• Utilize electrical engineering fundamentals and best system design practices to build on your ability to deliver high-performant, reliable, and manufacturable extremely size-constraint systems
• Gain understanding of all phases of system and board design, from system definition to part selection, schematic design, layout, bring up, and design verification
• Contribute to R&D investigations and experiments to demonstrate feasibility of new technology for the implant and the charger
• Gain experience working cross functionally to ensure successful systems integration
• Contribute to system improvements that decrease latency and increase battery life, reliability, and safety
• Develop ability to design and deploy systems for implant-charger hardware in the loop testing, and manufacturing line quality control

Required Qualifications: 

• Strong EE fundamentals
• Experience designing PCBs for low power and size constrained applications
• Experience with PCB CAD tools (Altium, Eagle, KiCad, Allegro)
• Experience with sensors, power management, and signal/power integrity
• Comfortable with common communication protocols (SPI, UART, I2C, etc.)
• Comfortable with lab equipment (oscilloscope, VNA, etc.)
• Basic C and Python programming skills

Preferred Qualifications:

• Experience with firmware development for embedded systems (C/C++)
• Experience with wireless systems (BLE, WIFI, Zigbee)
• Experience building and bringing-up MCUs or FPGA
• Proficiency with ME CAD tools (Solidworks, AutoCAD)
• Experience with analog circuit design

Expected Compensation:

The anticipated hourly rate for this position is listed below.

California Hourly Flat Rate:
$35/Hr USD

Team Description:

The Surgery & Robotics Hardware Team is looking for Electrical Engineers who want to advance the future of healthcare solutions with technology. At Neuralink we recognize that increasing healthcare costs, lack of access, and insufficient numbers of neurosurgeons globally require new approaches to enable greater access to our devices. To address these challenges we design fully autonomous robotics systems, human assistive surgical tools, and design entire surgical suites in order to provide better experiences for our customers.

Our team works on our surgical robot system which aims to fully automate the implantation of the Neuralink implant. We design and integrate multi-axis robotic arms, perception systems including custom imaging hardware, optical coherence tomography tissue imaging, power electronics, and safety systems such as 3D spatial mapping/object avoidance sensors. Robotics is part of a larger system of tools we work on. For example, using pre-op MRI scans we generate patient anatomy data that we later use in surgery to register precise surgery site locations. 

In addition to research and development of modern surgical technology, we also are responsible for bringing these technologies to market. We perform full lifecycle testing for all devices we design and ultimately manufacture them for use in human surgeries. To date, our designs have served over 20 individuals, and in the coming years our designs will serve thousands of individuals who wish to use our implant technology.

Job Description and Responsibilities:

As an Electrical Engineer on the Surgery & Robot Hardware Team, you will be expected to design, verify, and oversee the transition to production of a variety of custom electronics systems.  This role offers substantial autonomy and the exciting opportunity to own creative decisions and execute on new, impactful projects such as robotics stage designs, motor drives and controls, custom camera designs, manufacturing automation, and the firmware that enables all of these devices.

Required Qualifications: 

• Bachelor’s degree in Electrical Engineering or a related field or equivalent experience
• Professional experience delivering on all phases of electronics design (requirements, part selection, schematic, layout, manufacturing, test)
• Demonstrated depth in at least one of the following:
  • Power electronics: experience designing custom power conversion, distribution, eFusing, and battery management systems in the low-to-medium (1W-2kW) range
  • FPGA hardware design for time sensitive systems such as image processing, high-speed data acquisition, or real time networking. Professional experience in FPGA selection, RTL development, digital signal processing theory and techniques, and hardware design to interface high speed physical layer devices via PCIe, MIPI, SLVS-ec, LVDS, etc
  • Manufacturing automation design: professional experience architecting and implementing manufacturing automation solutions for products that currently ship at the scale of 1000’s+
• Practical electronics design knowledge including designing for EMC, ESD, thermals and packaging

Preferred Qualifications: 

• A portfolio showcasing your hardware designs 
• Demonstrable experience developing electronics for safety critical systems such as medical devices, aerospace, automotive, or military
• Demonstrable experience shipping code in one of the following languages: C, C++, Python, or Rust
• Altium experience

Team Description: 

The Brain Interfaces Soc Department delivers chip architecture and silicon implementation of neural recording and stimulation system-on-chip (SoC) for high-bandwidth brain-machine interface applications. We have crafted a team of exceptional engineers whose mission is to push the frontiers of what is possible today and define the future. 

Job Description & Responsibilities: 

Our Hardware/ Software Co-Design Engineer will be responsible for delivering micro-architecture and register-transfer level (RTL) implementation of digital IPs and systems with a focus in high-throughput low-power digital signal processor (DSP) and general-purpose hardware accelerators towards realizing state-of-the-art brain-computer interfaces. Relevant product development experience in micro-architecture design for low-power processors, on-chip bus and network interfaces, audio/video compression processors, AI/ML accelerators, and communication PHY/MAC will be preferred.

• Micro-architecture design and RTL implementation of: 
• Low-power digital signal processors
• Low-power general-purpose hardware accelerators
• Low-power graphics processing units
• Low-power radio MAC/PHY
• Low-power serial link MAC/PHY
• Design and optimization of hardware/software interface with firmware engineers
• Application-specific architecture optimization including:
• Complex system modeling for energy and performance benchmarks
• Workload analysis and modeling
• Energy/performance profiling and analysis
• Leveraging architecture-level design trade-offs with process technology and workload type
• Balancing cost and performance under manufacturing process variation 
• Collaboration on silicon bring-up tests with verification engineers 

Required Qualifications:

• Bachelor of Science (B.S.) degree in Electrical Engineering and/or Computer Science or a related field, or equivalent experience
• Evidence of exceptional ability in electrical engineering, computer science, or computer engineering
• Experience designing and implementing embedded software in C or Rust
• Expertise in SystemVerilog, C/C++, Python
• Experience designing and implementing  emulation models, transactors, and test environments to replicate hardware behavior
• Experience working on complex digital systems from architecture, microarchitecture, and RTL, using industry standard tools
• Experience in designing digital signal processing pipelines, from algorithm to RTL

Preferred Qualifications: 

• Experience in architecture optimization with process technology customization
• Experience in the verification of complex digital systems, using industry standard tools
• Experience in the physical design of complex digital systems, using industry standard tools
• Experience testing and debugging digital system-on-a-chips
• Functional modeling experience and logic verification with SystemVerilog, SystemC/C++
• Experience automating tool flows
• Experience in processor instruction set architecture design
• Experience in compiler back-end design and customization

Team Description:

For Neuralink's Information Technology team, the corporate environment is production. It is where our groundbreaking research and development takes place and hosts our assembly lines, neural recording training and processing, and many other functions. The team builds critical systems and processes that safely accelerate our progress along the company's critical path.

Job Description and Responsibilities:

Neuralink is looking for a hands-on IT Systems Administrator to own the day-to-day technology experience for every employee at the company. You will be responsible for endpoint management, identity and access management, security policy enforcement, and front-line technical support across a diverse user base — from highly technical engineers to non-technical scientists and clinicians. The ideal candidate is empathetic, resourceful, and thrives in a fast-paced environment where reliable systems and excellent customer service are critical to the company’s mission.

• Provide expert end-user technical support across macOS, Windows, and Linux environments as part of a tier-1 support rotation.
• Deploy, configure, and manage endpoint devices using MDM platforms (e.g., Jamf, Intune, Kandji), including application deployment, configuration profiles, and policy enforcement.
• Administer identity provider (IDP) and IAM systems including Microsoft Entra, Google Workspace, Okta, or similar; manage user lifecycle from onboarding through off-boarding.
• Implement and enforce security policies across endpoints, SaaS applications, and corporate systems; conduct regular audits and remediation.
• Administer and maintain SaaS applications such as Google Workspace, Slack, Zoom, and other business-critical tools.
• Perform L1 and L2 network troubleshooting including connectivity issues, VLAN assignments, and Wi-Fi connectivity diagnostics.
• Manage endpoint hardware inventory including procurement, asset tagging, deployment, and lifecycle tracking.
• Develop automation and tooling using scripting (Bash, Python, PowerShell) to streamline repetitive IT operations tasks.
• Ensure compliance with HIPAA, PII handling requirements, and internal security policies through robust endpoint and access controls.
• Create and maintain documentation for systems, processes, and procedures to support knowledge sharing and business continuity.

Required Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, Information Systems, or a related technical field or equivalent practical experience. 
• 3–5 years of experience providing expert-level end-user support across macOS, Windows, and Linux environments, ideally as part of a structured tier-1 support rotation
• Hands-on experience administering at least one enterprise MDM platform (Jamf, Intune, or Kandji), including application deployment, configuration profiles, and policy enforcement at scale
• Demonstrated experience administering an enterprise IDP/IAM platform (Microsoft Entra, Okta, or Google Workspace) including full user lifecycle management, SSO configuration, MFA enforcement, and access reviews
• Experience implementing and enforcing security policies across endpoints and SaaS applications, with working knowledge of HIPAA requirements, PII handling, and the ability to conduct regular audits and remediations

Preferred Skills & Qualifications: 

• Working knowledge of identity and access management protocols including SAML, SCIM, OAuth, and 802.1x.
• Familiarity with endpoint security tools, zero-trust architectures, and certificate-based authentication (TLS, X.509, U2F, WebAuthn).
• Understanding of networking fundamentals: TCP/IP, DNS, DHCP, ARP, VLANs, and basic wireless troubleshooting.
• Experience with IaC and automation tools such as Terraform, Ansible, or Cloud-Init.
• Experience maintaining and troubleshooting legacy AV equipment such as conference room displays, projectors, video conferencing systems, and audio hardware.
• Comfort supporting a diverse user base including non-technical colleagues; strong empathy and communication skills.
• Experience in regulated environments (HIPAA, SOC 2, or similar).

COMPLIANCE & DATA PRIVACY

Neuralink handles sensitive patient health information and personally identifiable information (PII). All employees are expected to understand and comply with HIPAA regulations and Neuralink’s data privacy policies. This role may involve access to protected health information (PHI) and requires a demonstrated commitment to confidentiality, data security, and responsible handling of sensitive information.

Team Description:

The Brain Interfaces Soc Department delivers chip architecture and silicon implementation of neural recording and stimulation system-on-chip (SoC) for high-bandwidth brain-machine interface applications. We have crafted a team of exceptional engineers whose mission is to push the frontiers of what is possible today and define the future. 

Job Responsibilities and Description: 

The Physical Design and Verification Engineer will be responsible for RTL to GDSII Physical Design Implementation, including Synthesis, Placement, Clock Tree Synthesis, Detailed Routing and Optimization, in addition to Physical Signoff Verification. 

Required Qualifications: 

• Bachelor of Science (B.S.) degree in Electrical Engineering and/or Computer Science or a related field, or equivalent experience.
• Minimum 5 years of experience in digital physical design and verification.
• Excellence in complete RTL to GDSII flow with strong experience in the usage of industry-standard Electronic Design Automation (EDA) tools for both physical design and timing signoff.
• Deep knowledge on industry standards and practices in physical design including physically-aware synthesis flow, floor-planning, and place & route, metal fill, chip finishing, signal integrity checks, and dynamic EMIR-Drop analysis, and formal ESD verification.
• Experience in Signoff ECO flow to fix timing, noise, IR-Drop and EMIR violations.
• Experience in physical design verification to debug LVS/DRC/PERC issues at the chip/block level using industry standard tools.
• Experience in developing automation flow and scripts using Python, Perl, Makefile, Tcl and UNIX shell.

Preferred Qualifications: 

• Master of Science (M.S.) degree in Electrical Engineering and/or Computer Science or a related field, or equivalent experience.
• Experience working on physical design and implementation of complex ASIC systems at advanced technology nodes, preferably 16nm and below. 
• Experience in DFT (Design For Test) flows and ATPG.
• Experience in I/O design flow in multi-voltage power domain.
• Experience in building chip floor-plan including pin placement, partitions and power grid.
• Experience in hierarchical synthesis, place-and-route and design closure to meet timing, area, and UPF-driven low power constraints.
• Experience with build tools such as CMake and Bazel.
• Experience with code coverage and regression setup.

Team Description:

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

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

Job Description and Responsibilities:

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

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

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

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

Required Qualifications: 

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

Preferred Qualifications:

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

Team Description:

The Robot Reliability and Test Team is directly responsible for ensuring the surgical robot and its subassemblies are rigorously tested during both the design and production cycles. The team designs testing infrastructure, writes and provides guidance on test descriptions and outputs, and ensures the surgical robot is reliable and ready for use in human surgeries. Providing safe, effective, and smooth surgical procedures allows Neuralink to move at a rapid pace and reach more individuals who need this life-changing technology.

Job Description and Responsibilities:

As a Test Engineer, you’ll be responsible for transforming our surgical robot from an experimental medical device to a robust system capable of doing tens of thousands of surgeries. We’re looking for engineers with experience designing complex hardware systems, developing tests and fixtures to validate hardware, or debugging complex systems (or all three!). You will identify and resolve key reliability issues while designing and implementing test infrastructure to enhance the robot's engineering development and validation as well as the reliability of both the robot and its associated surgical tools. Furthermore, you will be expected to:

• Drive resolution and preventative actions for non-conforming robots
• Provide guidance on design controls and transfer processes
• Analyze data trends and debug hardware & software failures
• Define maintenance and calibration schedules

If you’re excited about solving new problems every day, or if you are passionate about test and fixture design, we would love to hear from you!

Required Qualifications:

• Bachelor’s Degree in mechanical/electrical engineering, or equivalent in experience and ability
• 1+ years of engineering experience in testing and making systems reliable (whether that's in school clubs or industry)
• Strong understanding of engineering first principles

Preferred Qualifications:

• Experience designing hardware in the loop test systems
• Proficiency interfacing with sensors, motors, etc.
• Coding experience in Python

Job Summary

We are seeking a talented Signal Processing Engineer to design, develop, and optimize advanced digital signal processing (DSP) algorithms for on-chip and embedded implementation. In this role, you will create efficient, hardware-friendly algorithms that run directly on custom SoCs, enabling real-time processing with constraints on power, latency, area, and throughput. You will collaborate closely with the SoC, Firmware, and Machine Learning teams to translate high-level signal processing needs into production-ready solutions.

Key Responsibilities

• Design and develop signal processing algorithms for sensing neural activity in the cortex (e.g. spike detection), monitoring cortical electrode health, and more.
• Design and develop numerical algorithms, such as custom data compression to increase radio throughput.
• Develop fixed-point or quantized versions of algorithms optimized for constrained hardware.
• Implement and verify algorithms in high-level languages and transition them to hardware-friendly representations.
• Perform algorithm-to-architecture mapping: analyze trade-offs between accuracy, latency, power, and resource utilization on the SoCs.
• Collaborate with the digital design team to define micro-architectures for custom on-chip processing pipelines, including dataflow, pipelining, and parallelization.

Required Qualifications

• Education: BS, MS or PhD in Electrical Engineering, Computer Engineering, Signal Processing, or a related field.
• Experience: 3+ years in digital signal processing algorithm development or real-world products, with a focus on embedded or hardware-constrained implementations.
• Fluent in signal processing fundamentals (both analog and digital) and strong numerical capabilities.
• Familiarity with fixed-point arithmetic, quantization effects, and numerical precision trade-offs.
• Proficiency in Python and C for algorithm prototyping and simulation.

Preferred Qualifications

• Hands-on experience with Verilog/VHDL, or transitioning algorithms to RTL.
• Experience with dedicated DSP cores or accelerators.
• Track record of optimizing for power/area/latency in resource-constrained environments.

Base Salary Range:

 $121,000 - $230,500

Team Description:

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

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

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

Job Description and Responsibilities:

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

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

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

Required Qualifications: 

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

Preferred Qualifications:

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

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

Team Description:

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

Neuralink strives to be a meritocratic environment: we require honest and transparent communication to ensure the best ideas win out, and we believe the best solutions emerge and the best teams are created when you assemble high-performing individuals and allow them to engage in rigorous and thoughtful inquiry. We want to work with exceptional people, and, to the extent that you excel, we want you to take on more responsibility and help all of us succeed. If this speaks to you, come join us.

Job Responsibilities:

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

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

Required Qualifications:

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

Preferred Qualifications:

• Prior experience developing software for safety-critical systems
  

About You:

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

Team Description:

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

Neuralink strives to be, as much as possible, a meritocratic environment: we require honest and transparent communication to ensure the best ideas win out, and we believe the best solutions emerge and the best teams are created when you assemble high-performing individuals and allow them to engage in rigorous and thoughtful inquiry. We want to work with exceptional people, and, to the extent that you excel, we want you to take on more responsibility and help all of us succeed. If this speaks to you, come join us.

Job Description & Responsibilities:

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

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

Required Qualifications:

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

Additional Requirements and Competencies:

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

Team Description: 

The Infrastructure Team builds the foundation that enables the company to operate safely, robustly, and move at light-speed. We run a mixture of cloud-based and on-prem systems and have a user base spanning from highly technically proficient engineers to non-technical scientists and doctors; but all of them need solid systems, rugged networking, and bullet-proof software to do their jobs. This role will integrate tightly with teams across the company, and span all layers of the work environment stack, from deployment of physical hardware on the manufacturing line, to custom tooling to stream neural recordings from implants.

Tech Stack:

• Rust, Python
• Terraform
• Bazel and Nix
• Kubernetes
• GitLab CI
• AWS
• Ubuntu, Fedora

Focus:

• Developing the foundations for teams to build the software and systems required for record-breaking BCI experiences.
• Enhancing developer experience with robust tooling and build-system infrastructure.
• Building foundational infrastructure for HITL (hardware in the loop) testing across firmware, BCI, and robot teams.
• Ground-up infrastructure of on-premise solutions as well as cloud architecture.
• Foundational software engineering with a focus on serving internal software teams.

Qualifications: 

• Experience using IAC tools such as Terraform, Docker, Packer, Ansible, Cloud-Init, Kickstart.
• Working knowledge of compiled languages, ideally Rust, Go, or C/C++.
• Working knowledge of major cryptographic protocols and authentication schemes such as TLS, x509, 802.1x, U2F, SAML.
• Familiarity with modern Linux boot process, UEFI, TPM measured boot, Secure Boot, Systemd.
• Systems administration experience on Windows, macOS, and Linux.
• In-depth understanding of modern networking and common protocols.
• Ability to architect, build, and ship 0 to 1 infrastructure quickly and efficiently.

Team Description:

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

Neuralink strives to be a meritocratic environment: we require honest and transparent communication to ensure the best ideas win out, and we believe the best solutions emerge and the best teams are created when you assemble high-performing individuals and allow them to engage in rigorous and thoughtful inquiry. We want to work with exceptional people, and, to the extent that you excel, we want you to take on more responsibility and help all of us succeed. If this speaks to you, come join us.

Job Responsibilities:

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

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

Required Qualifications:

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

Preferred Qualifications:

• Prior experience developing software for safety-critical systems
  

About You:

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

ICON is looking for a Senior Robotics Software Engineer to join our Software team in Austin, TX. As a Senior Robotics Software Engineer, you will help develop and maintain robotic control software for all of ICON’s robotic systems. You will be responsible for developing high-performance C++ software to drive complex arm motions, integrating real-time sensor data, and ensuring reliable motion planning. This role is based at ICON’s Austin, TX headquarters, and will report to the Director of Embedded Software Engineering.

RESPONSIBILITIES

• Design, develop, and optimize high-performance C++ software for controlling and coordinating large-scale robotic arms.
• Develop robust motion planning and trajectory generation algorithms to safely navigate industrial arms through complex workspaces.
• Implement real-time sensor fusion and state estimation algorithms (using sensors like IMUs, LiDAR, etc.) to improve arm localization and end-effector precision.
• Program robotic arm motions in coordination with other systems.
• Develop and maintain simulated environments and automated test frameworks to support continuous integration and system verification.
• Lead system integration and validation efforts across hardware and software.
• Participate in architecture decisions for controls and electrical systems, including component selection and standardization.
• Participate in design & code reviews to maintain consistency and high-quality output.

MINIMUM QUALIFICATIONS

• Masters Degree or higher in Software Engineering, Robotics, Mechanical Engineering, or a related field.
• 5+ years of professional experience in robotics software development.
• Expert-level proficiency in modern C++ (17 or newer) and Python within a professional robotics software development environment.
• Deep foundational understanding of robotic arm kinematics (forward and inverse), multi-body dynamics, and motion planning.
• Hands-on experience with robotic platforms, sensors, actuators, localization, perception, and control systems.
• Practical experience designing and optimizing sensor fusion and state estimation algorithms (e.g., Kalman Filters).
• Strong knowledge of autonomy algorithms, robotics frameworks (such as ROS), and simulation environments.

PREFERRED QUALIFICATIONS

• Experience programming industrial robots in high-level languages.
• Experience in formal control theory and linear algebra.
• A general understanding of how to manage redundant kinematic chains or stabilize dynamic systems.
• Proven track record of delivering products to end users and production environments.
• Familiarity with hardware design, prototyping, and manufacturing processes.
• Excellent problem-solving skills and a strong analytical mindset to identify issues, propose innovative solutions, and make data-driven decisions.
• Ability to earn trust, maintain positive and professional relationships, and contribute to a culture of performance.

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.

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.​

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

GoDaddy is seeking a highly skilled and motivated Site Reliability Engineer (SRE)  to join our dynamic team. This role will focus on automating and maintaining our storage infrastructure with a focus on Ceph, ensuring the reliability, scalability, and performance of our systems.

What you'll get to do...

• Automate and maintain day-to-day operations of storage systems to support application demands
• Develop and maintain tools and automation scripts to streamline storage operations and improve efficiency
• Monitor system performance, identify issues, and implement solutions to ensure high availability and reliability
• Participate in agile concepts such as daily stand-up meetings, task tracking boards, design and code reviews, automated testing, continuous integration, and deployment
• Continuously improve system reliability, performance, and capacity through proactive monitoring, automation, and optimization

Your experience should include...

• 2+ years of professional experience with Ceph, working in a production environment
• 2+ years of experience in site reliability engineering or a similar role
• 2+ years of professional experience with Ceph, including deployment, configuration, and management of Ceph clusters and systems
• Experience working on Linux/Unix systems, with a focus on automation and operating at scale
• Proficiency in Python or Bash
• Experience with Ansible, Terraform, or SaltStack
• Experience with Nagios-based monitoring tools, such as Icinga2
• Experience with observability tooling, such as Prometheus, Grafana, Mimir, and Loki
• Solid understanding of core networking concepts and protocols, particularly in relation to Linux/Unix systems

You might also have...

• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes)
• Exposure to and experience working with compute platforms (e.g., OpenStack, AWS)
• Familiarity with ability to contribute to CI/CD pipelines and automation workflows

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.

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

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

About the Role

We are seeking a Storage Architect to design, evaluate, and optimize the high-performance storage architectures powering our AI data centers. In AI training and inference, keeping GPUs fed with data is one of the most critical challenges; even a slight I/O bottleneck can lead to massive inefficiencies. In this role, you will be our resident expert on solid-state storage, focusing heavily on NVMe SSDs, PCIe topologies, and the Linux storage stack. You will ensure our local and distributed storage tiers deliver the microsecond predictable latency and massive throughput required for large language model (LLM) checkpointing, massive datasets, and high-speed data loading pipelines.

RESPONSIBILITIES

• Hardware Qualification: Lead the evaluation, qualification, and lifecycle management of NVMe SSDs (e.g., E1.S, E3.S, U.2/U.3 form factors) from major vendors for use in high-density AI servers and AI Clusters.
• Architecture & Topology: Design and optimize local server storage topologies, managing PCIe lane distribution, minimizing NUMA node crossings, and ensuring optimal data paths between NVMe drives, CPUs, and GPUs.
• Performance Tuning: Conduct rigorous performance profiling and tuning of the Linux kernel storage stack, block layer, and file systems to maximize IOPS and bandwidth while minimizing tail latency (i.e., 99.99%).
• AI Workload Optimization: Optimize storage configurations specifically for AI workloads, including tuning for GPU direct storage to enable direct memory access between NVMe storage and GPU memory, bypassing the CPU.
• Telemetry & Automation: Drive telemetry strategy for the storage subsystem including SSD health monitoring (i.e., wear leveling, DWPD, thermals) and latency anomaly detection. Provide requirements and technical guidance to the automation team building test framework to characterize the storage subsystem in our AI Platforms. Additionally, manage firmware rollouts at scale.
• Troubleshooting: Act as the highest point of escalation for complex, storage-related performance degradation or hardware failures, utilizing tools like nvme-cli, fio, and PCIe analyzers.
• Vendor engagement:  Responsible for working closely with storage vendors, supply chain teams, and our Systems engineering team in the selection and proper deployment of storage components into our AI server fleet. 
• “Futures”:  As a storage architect you will be responsible for scoping the industry for new storage technologies that will give us an advantage on future AI Server designs.
• Storage Control and Dataplane Definition: Storage expert in charge of the definition and architecture of our external storage Data plane and Control plane solutions using leading vendor solutions such as Weka, VAST, Pure Storage, and others. 

REQUIREMENTS

• Bachelor’s, master’s degree or equivalent experience in Information Technology, Computer Science, Computer engineering, or a related field.
• 12+ years of hands-on experience in storage engineering and architecture and 5+ years supporting storage solutions on AI or Hyperscale Datacenters.
• Deep NVMe/PCIe Knowledge: Expert-level understanding of the NVMe protocol, PCIe architecture (Gen 5/Gen 6), NAND flash characteristics, and SSD controller behavior (garbage collection, wear leveling, write amplification).
• Linux Storage Stack: Deep operational knowledge of Linux internals, specifically the block layer, I/O schedulers, direct I/O, and modern local file systems (XFS, ext4, ZFS).
• Performance Profiling: Extensive hands-on experience with benchmarking and profiling tools such as fio, blktrace, iostat, and perf to simulate AI workloads and isolate bottlenecks.
• Scripting: Strong programming skills in Python, JSON, Bash or related scripting languages for building validation scripts, automation pipelines, and interacting with REST APIs.
• Root Cause Analysis: Proven track record of debugging complex hardware/software interactions, including kernel panics, PCIe bus errors, and SSD firmware bugs.
• Telemetry: Point of contact responsible for defining the telemetry sensors and rules to activate alerts in our Datacenter fleet monitoring frameworks.

DIFFERENTIATORS

• GPU Direct Storage (GDS): Experience implementing, testing, and troubleshooting GDS or similar technology for direct GPU-to-storage communication.
• NVMe over Fabrics (NVMe-oF): Experience designing or managing NVMe-oF (RoCEv2 or TCP) deployments to disaggregate storage without sacrificing local-NVMe performance.
• Storage Software Development: Experience with the Storage Performance Development Kit (SPDK) or developing user-space storage applications.
• Distributed AI File Systems: Familiarity with high-performance parallel file systems commonly used in AI/HPC clusters (e.g., Weka, VAST Data, Lustre, DAOS, or DDN).
• Emerging Tech: Knowledge of Compute Express Link (CXL) and its implications for future memory and storage tiering in AI servers.

We welcome people of different backgrounds and experiences and are committed to building an inclusive work environment that makes Graphcore a great home for everyone. We are an equal opportunity employer and want to build a work environment where everyone is happy, productive and respectful so they can do their best work. If you have a disability or additional need that requires accommodation, just let us know.

Principal Embedded SW/FW Engineer (Bringup)

Salary $241,100 - $326,100 + Phantom Equity + Benefits 

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

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

We are looking to hire Post-Silicon Validation Engineers to join our collaborative, cross-functional development team validating cutting edge, high performance AI chips and platforms. You will play a critical role in supporting new product introductions and post-silicon validation. Working within the Post-Silicon Validation team, you will be involved with bringing first silicon to life, functionally validating it and working closely with many other teams to help it become a fully characterised and working product, reporting project status/progress to program management on a regular basis. You will have the opportunity to, and be responsible for, leading, mentoring, and providing technical guidance to other engineering team members. In this role, you can leverage your experience and industry knowledge to architect and drive implementation of continuous improvements to test infrastructure and processes. 

The Post-Silicon Validation team sits within the Architecture and Validation team, we are responsible for validation of new silicon when it returns from manufacture, enabling and supporting the production SW and FW teams to bring up their software and also supporting the Silicon Characterisation team.  

Responsibilities and Duties 

• Plan, design, develop and debug silicon validation tests in bare metal C/C++ on FPGA/Emulator prior to first silicon 
• Deploy silicon validation tests on first silicon and debugging them 
• Develop automated test framework and regression test suites in Python to optimize validation efficiency 
• Collaborate closely with engineers from many other disciplines on a variety of topics 
• Work with Validation and Production Test engineering peers to implement best practices and continuous improvements to test methodologies 
• Analyse test results, identify and debug failures/defects 
• Contribute to shared test and validation infrastructure 
• Provide feedback to architects 

Essential skills: 

• Strong experience in Bare metal / embedded C/C++ 
• Good knowledge of digital ASICs
• Be highly motivated, a self starter, and a team player  
• Ability to work across teams and programming languages to find root causes of deep and complex issues 
• Experience of the post-silicon validation process applied in digital ASIC environments 
• Python, Linux 
• Excellent communication skills and the ability to collaborate with others to solve problems
• Excellent problem-solving, analytical & diagnostic skills 

  Desirable skills: 

• Driver level experience with one or more of the following is highly desirable: 
  • PCIe 
  • Ethernet 
  • Memory technologies (LPDDR, DDR, HBM, …) 
  • Other peripherals such as I2C, I3C, SPI, … 
• Good knowledge of mixed-signal building blocks such as PLLs, high speed PHYs and IC control/communication protocols is highly desirable
• Experience of Arm CPUs, System IP and debug tools
• Experience of AMBA protocols
• Understanding of ML applications and their workloads
• Experience in Characterization, Failure Analysis, Test Development, Statistical analysis, and Customer Support 

Benefits:

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

About us 

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. 

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. 

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. 

Job Summary 

We are seeking an experienced Principal Hardware Diagnostics Engineer to design and develop diagnostics software used to monitor hardware health and diagnose system-level issues across Graphcore’s AI infrastructure platforms. 

This role focuses on building diagnostics agents, tools, and analytics frameworks that enable engineers and automation systems to identify, isolate, and resolve hardware issues across blade-level servers and rack-scale clusters. 

The Team 

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

The Systems Engineering and Platform Validation team ensures Graphcore’s AI compute platforms are reliable, diagnosable, and operationally robust at scale. 

The team collaborates with hardware engineering, firmware, cloud infrastructure, and automation teams to develop tools and frameworks that monitor system health, detect hardware failures, and accelerate root-cause analysis across AI clusters. 

Responsibilities and Duties 

• Design and develop automated hardware diagnostics solutions for blade-level servers and rack-scale AI systems. 

• Architect and implement diagnostic agents, monitoring tools, and analytics frameworks to track hardware telemetry. 

• Collaborate with hardware teams to integrate low-level diagnostic modules into monitoring systems. 

• Develop diagnostics tools capable of detecting hardware health conditions and isolating failures. 

• Create diagnostic modules used for internal validation and production data center operations. 

• Provide detailed hardware fault information to system engineers to accelerate troubleshooting. 

• Define remediation workflows and insights for hardware fault scenarios across nodes and clusters. 

• Collaborate with firmware, networking, and cloud platform teams to integrate diagnostics across the system stack. 

Candidate Profile 

Essential 

• Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, or related discipline. 

• Strong software engineering experience in Python, C++, or C#. 

• Experience developing diagnostics or monitoring systems for hardware platforms. 

• Experience working with distributed systems or cloud infrastructure. 

• Strong knowledge of Linux environments and system-level diagnostics tools. 

• Experience collaborating with CM/ODM partners on manufacturing diagnostics and fault isolation. 

• Strong analytical and debugging skills. 

• Excellent communication and collaboration abilities. 

Desirable 

• Experience working with AI hardware platforms or accelerator-based computing systems. 

• Familiarity with hyperscale data center infrastructure. 

• Experience building cluster-level monitoring or diagnostics systems. 

• Experience interacting with internal or external customers during diagnostics solution development. 

Principal Post Silicon Validation Engineer (Bringup)

Salary $241,100 - $326,100 + Phantom Equity + Benefits 

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

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

We are looking to hire Post-Silicon Validation Engineers to join our collaborative, cross-functional development team validating cutting edge, high performance AI chips and platforms. You will play a critical role in supporting new product introductions and post-silicon validation. Working within the Post-Silicon Validation team, you will be involved with bringing first silicon to life, functionally validating it and working closely with many other teams to help it become a fully characterised and working product, reporting project status/progress to program management on a regular basis. You will have the opportunity to, and be responsible for, leading, mentoring, and providing technical guidance to other engineering team members. In this role, you can leverage your experience and industry knowledge to architect and drive implementation of continuous improvements to test infrastructure and processes. 

The Post-Silicon Validation team sits within the Architecture and Validation team, we are responsible for validation of new silicon when it returns from manufacture, enabling and supporting the production SW and FW teams to bring up their software and also supporting the Silicon Characterisation team.  

Responsibilities and Duties 

• Plan, design, develop and debug silicon validation tests in bare metal C/C++ on FPGA/Emulator prior to first silicon 
• Deploy silicon validation tests on first silicon and debugging them 
• Develop automated test framework and regression test suites in Python to optimize validation efficiency 
• Collaborate closely with engineers from many other disciplines on a variety of topics 
• Work with Validation and Production Test engineering peers to implement best practices and continuous improvements to test methodologies 
• Analyse test results, identify and debug failures/defects 
• Contribute to shared test and validation infrastructure 
• Provide feedback to architects 

Essential skills: 

• Strong experience in Bare metal / embedded C/C++ 
• Good knowledge of digital ASICs
• Be highly motivated, a self starter, and a team player  
• Ability to work across teams and programming languages to find root causes of deep and complex issues 
• Experience of the post-silicon validation process applied in digital ASIC environments 
• Python, Linux 
• Excellent communication skills and the ability to collaborate with others to solve problems
• Excellent problem-solving, analytical & diagnostic skills 

  Desirable skills: 

• Driver level experience with one or more of the following is highly desirable: 
  • PCIe 
  • Ethernet 
  • Memory technologies (LPDDR, DDR, HBM, …) 
  • Other peripherals such as I2C, I3C, SPI, … 
• Good knowledge of mixed-signal building blocks such as PLLs, high speed PHYs and IC control/communication protocols is highly desirable
• Experience of Arm CPUs, System IP and debug tools
• Experience of AMBA protocols
• Understanding of ML applications and their workloads
• Experience in Characterization, Failure Analysis, Test Development, Statistical analysis, and Customer Support 

Benefits:

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

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. 

Senior Embedded SW/FW Engineer (Bringup)

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

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

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

We are looking to hire Post-Silicon Validation Engineers to join our collaborative, cross-functional development team validating cutting edge, high performance AI chips and platforms. You will play a critical role in supporting new product introductions and post-silicon validation. Working within the Post-Silicon Validation team, you will be involved with bringing first silicon to life, functionally validating it and working closely with many other teams to help it become a fully characterised and working product, reporting project status/progress to program management on a regular basis. You will have the opportunity to, and be responsible for, leading, mentoring, and providing technical guidance to other engineering team members. In this role, you can leverage your experience and industry knowledge to architect and drive implementation of continuous improvements to test infrastructure and processes. 

The Post-Silicon Validation team sits within the Architecture and Validation team, we are responsible for validation of new silicon when it returns from manufacture, enabling and supporting the production SW and FW teams to bring up their software and also supporting the Silicon Characterisation team.  

Responsibilities and Duties 

• Plan, design, develop and debug silicon validation tests in bare metal C/C++ on FPGA/Emulator prior to first silicon 
• Deploy silicon validation tests on first silicon and debugging them 
• Develop automated test framework and regression test suites in Python to optimize validation efficiency 
• Collaborate closely with engineers from many other disciplines on a variety of topics 
• Work with Validation and Production Test engineering peers to implement best practices and continuous improvements to test methodologies 
• Analyse test results, identify and debug failures/defects 
• Contribute to shared test and validation infrastructure 
• Provide feedback to architects 

Essential skills: 

• Strong experience in Bare metal / embedded C/C++ 
• Good knowledge of digital ASICs
• Be highly motivated, a self starter, and a team player  
• Ability to work across teams and programming languages to find root causes of deep and complex issues 
• Experience of the post-silicon validation process applied in digital ASIC environments 
• Python, Linux 
• Excellent communication skills and the ability to collaborate with others to solve problems
• Excellent problem-solving, analytical & diagnostic skills 

  Desirable skills: 

• Driver level experience with one or more of the following is highly desirable: 
  • PCIe 
  • Ethernet 
  • Memory technologies (LPDDR, DDR, HBM, …) 
  • Other peripherals such as I2C, I3C, SPI, … 
• Good knowledge of mixed-signal building blocks such as PLLs, high speed PHYs and IC control/communication protocols is highly desirable
• Experience of Arm CPUs, System IP and debug tools
• Experience of AMBA protocols
• Understanding of ML applications and their workloads
• Experience in Characterization, Failure Analysis, Test Development, Statistical analysis, and Customer Support 

Benefits:

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

About us

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies.

Job Summary

We are seeking a highly skilled and hands-on Test Framework Software Engineer to develop, implement, and maintain robust test automation solutions that drive hardware quality and reliability across our AI hardware platforms. This role focuses on building scalable automation frameworks, translating hardware specifications into test solutions, and enabling efficient validation across development and production environments.

The Team

You will work closely with hardware, systems, and product engineering teams to ensure high-quality validation of complex AI systems. The team operates across hardware platforms, system validation, and production test environments.

Responsibilities and Duties

- Design, implement, and extend test automation frameworks for hardware qualification and validation.

- Translate hardware specifications into scalable, maintainable automated test suites.

- Collaborate with cross-functional teams to ensure test coverage meets product and quality requirements.

- Debug and troubleshoot issues in automation frameworks across environments and platforms.

- Develop tooling to process, analyze, and visualize test data for actionable insights.

- Optimize test execution efficiency and improve validation methodologies.

- Communicate technical status, risks, and insights to engineering stakeholders.

Candidate Profile

Essential:

- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field.

- Extensive experience (10–15+ years) in automation systems, test frameworks, or infrastructure.

- Strong proficiency in Python, Bash, or similar scripting languages.

- Experience with Linux/Unix environments and hardware testing frameworks.

- Strong problem-solving skills and ability to work independently in cross-functional teams.

- Experience building scalable, maintainable, and reliable automation systems.

- Excellent communication and collaboration skills.

Desirable:

- Experience with test orchestration systems or automation infrastructure.

- Familiarity with CI/CD pipelines and version control (e.g., Git).

- Background in AI hardware, embedded systems, or BMC environments.

- Experience integrating automated testing into manufacturing or deployment systems.

Senior Post Silicon Validation Engineer (Bringup)

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

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

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

We are looking to hire Post-Silicon Validation Engineers to join our collaborative, cross-functional development team validating cutting edge, high performance AI chips and platforms. You will play a critical role in supporting new product introductions and post-silicon validation. Working within the Post-Silicon Validation team, you will be involved with bringing first silicon to life, functionally validating it and working closely with many other teams to help it become a fully characterised and working product, reporting project status/progress to program management on a regular basis. You will have the opportunity to, and be responsible for, leading, mentoring, and providing technical guidance to other engineering team members. In this role, you can leverage your experience and industry knowledge to architect and drive implementation of continuous improvements to test infrastructure and processes. 

The Post-Silicon Validation team sits within the Architecture and Validation team, we are responsible for validation of new silicon when it returns from manufacture, enabling and supporting the production SW and FW teams to bring up their software and also supporting the Silicon Characterisation team.  

Responsibilities and Duties 

• Plan, design, develop and debug silicon validation tests in bare metal C/C++ on FPGA/Emulator prior to first silicon 
• Deploy silicon validation tests on first silicon and debugging them 
• Develop automated test framework and regression test suites in Python to optimize validation efficiency 
• Collaborate closely with engineers from many other disciplines on a variety of topics 
• Work with Validation and Production Test engineering peers to implement best practices and continuous improvements to test methodologies 
• Analyse test results, identify and debug failures/defects 
• Contribute to shared test and validation infrastructure 
• Provide feedback to architects 

Essential skills: 

• Strong experience in Bare metal / embedded C/C++ 
• Good knowledge of digital ASICs
• Be highly motivated, a self starter, and a team player  
• Ability to work across teams and programming languages to find root causes of deep and complex issues 
• Experience of the post-silicon validation process applied in digital ASIC environments 
• Python, Linux 
• Excellent communication skills and the ability to collaborate with others to solve problems
• Excellent problem-solving, analytical & diagnostic skills 

  Desirable skills: 

• Driver level experience with one or more of the following is highly desirable: 
  • PCIe 
  • Ethernet 
  • Memory technologies (LPDDR, DDR, HBM, …) 
  • Other peripherals such as I2C, I3C, SPI, … 
• Good knowledge of mixed-signal building blocks such as PLLs, high speed PHYs and IC control/communication protocols is highly desirable
• Experience of Arm CPUs, System IP and debug tools
• Experience of AMBA protocols
• Understanding of ML applications and their workloads
• Experience in Characterization, Failure Analysis, Test Development, Statistical analysis, and Customer Support 

Benefits:

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

About us

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute.
It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.

Job Summary

We are seeking a Senior Principal Network Engineer to help design, deploy, and optimize next‑generation AI data center networks. AI training and inference workloads require extremely high bandwidth, deterministic low latency, and zero‑packet‑loss networking environments.

In this role, you will partner closely with the Network Architecture Lead to design and scale high‑performance computing (HPC) network fabrics supporting GPU clusters. You will work across hardware, networking, and AI application layers to ensure Graphcore’s large‑scale AI infrastructure operates at peak performance.

The ideal candidate brings deep experience operating hyperscale or HPC data center networks and has expertise in high‑speed Ethernet fabrics, RDMA technologies, advanced automation, and telemetry systems.

The Team

The Data Center Network Engineering team designs and operates the high‑performance network fabrics that power Graphcore’s AI compute platforms. The team collaborates closely with hardware engineering, AI researchers, and infrastructure teams to build scalable networking environments optimized for distributed training and inference workloads.

Engineers work on pioneering technologies including high‑speed Ethernet fabrics, lossless networking, RDMA transport, and large‑scale automation frameworks to support next‑generation AI clusters.

Responsibilities and Duties

• Assist in defining ultra‑high‑bandwidth, non‑blocking AI network fabrics (Clos spine‑leaf‑super‑spine architectures) for large‑scale distributed AI workloads.
  • Optimize performance of lossless Ethernet fabrics using congestion control mechanisms such as PFC, ECN, and DCQCN to support RDMA/RoCEv2 communication.
  • Lead initiatives to implement NetDevOps practices and develop automation for provisioning, configuration management, and network remediation.
  • Design and deploy high‑resolution telemetry pipelines to monitor network health, detect microbursts, and analyze congestion patterns.
  • Support modeling, deployment, configuration, and monitoring of data center network fabrics including scale‑out, scale‑up, and front‑end networks.
  • Collaborate cross‑functionally with hardware engineers, AI researchers, and data center operations teams to co‑design high‑performance infrastructure.
  • Provide technical leadership and mentorship to network engineers while establishing best practices and operational standards.
  • Contribute to the long‑term networking strategy and roadmap for Graphcore’s AI infrastructure.
  • Research and evaluate next‑generation high‑speed networking technologies and vendor solutions.
  
  

Candidate Profile

Essential

• BS or MS or equivalent experience in Computer Science, Electrical Engineering, Network Engineering, or related technical discipline.
  • 12+ years of progressive network engineering experience with at least 3 years in hyperscale, high‑density, or HPC data center environments.
  • Expert‑level knowledge of data center routing and switching protocols including BGP, OSPF, and EVPN‑VXLAN architectures.
  • Strong operational understanding of RDMA networking technologies such as RoCEv2 or InfiniBand.
  • Hands‑on experience with modern merchant silicon networking platforms and NOS platforms such as Arista EOS, Cisco NX‑OS, or SONiC.
  • Experience deploying high‑speed network technologies including 400G/800G optics and large‑scale fabric architectures.
  • Proficiency in automation and scripting languages such as Python, Go, Bash, or similar tools.
  • Strong collaboration and communication skills across cross‑functional engineering teams.
  
  

Desirable

• Experience operating large‑scale AI or GPU clusters.
  • Familiarity with network telemetry frameworks and streaming analytics.
  • Experience implementing NetDevOps workflows and infrastructure automation pipelines.
  • Experience influencing vendor roadmaps or evaluating next‑generation networking technologies.
  
  

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 group of backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.

Job Summary

We are seeking a senior validation lead engineer to lead at-scale rack validation efforts for next-generation AI hyperscale systems. This role focuses on post-silicon system validation across the full lifecycle, ensuring functional, electrical, and thermal performance meets product objectives. You will own end-to-end blade and rack validation including planning, development, execution, and debug while collaborating across firmware, systems, and hardware teams.

The Team

The Rack Validation team is responsible for ensuring system readiness and quality at scale. The team works cross-functionally with firmware, silicon, and system engineering teams to validate complex AI compute platforms.

Responsibilities and Duties

• Lead post-silicon validation of AI compute blades and racks including test planning, development, and automation.
• Drive provisioning and integration of system components (SoC FW, BMC, RMC, OS) for rack-level readiness.
• Own execution against program achievements and report validation progress and risks.
• Triage test failures, collect debug data, and collaborate on root cause analysis.
• Track validation coverage and continuously improve test processes and infrastructure.
• Collaborate with ODM/JDM partners on validation and quality.
• Mentor engineers and drive engineering excellence.

Candidate Profile

Essential:

• Bachelor’s or Master’s degree or equivalent experience in Computer Engineering, Electrical Engineering, Computer Science, or related field.
• Proven track record in system, rack, or embedded validation with leadership experience.
• Strong experience in large-scale hardware validation environments.
• Expertise in CPU/GPU, memory, IO, and firmware validation.
• Experience with Linux/server OS and automation using Python/Bash.
• Knowledge of IPMI, Redfish, PLDM.
• Experience with CI/CD pipelines and hardware interfaces.

Desirable:

• Experience in hyperscale environments.
• Familiarity with OpenBMC and processes for verifying firmware functionality.  
• Knowledge of firmware security and HIL testing.
• Experience with test management tools.