Role

We are looking for a Principal Sales Engineer to join our team located in the South. This role will report to the Director of Sales Engineering for the Americas Field Sales team.

You will be responsible for architecting technical solutions that directly address and resolve critical customer pain points.

What you’ll do (Role Expectations)

• Overseeing the technical sales process
• Running Proof of Value from start to finish, as the technical and industry expert
• Collaborating and supporting internal Zscaler teams

Who You Are (Success Profile)

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You are customer-obsessed. You build deep empathy for the customer—both internal and external—and anchor your decisions in solving their real-world problems. You champion their needs from start to finish, knowing their success is our success.
• You champion simplicity. You are skilled at distilling complex problems, user needs, and technical concepts into clear, simple, and actionable plans. You are a precise communicator who brings clarity and focus to every interaction.
• You are resilient and adaptable. You view change as an opportunity and setbacks as temporary. You maintain composure and focus in high-pressure situations, guiding yourself and your team through complexity with a steady, positive hand.

What We’re Looking for (Minimum Qualifications)

• Bachelor's Degree or equivalent experience
• 10+ years of experience as a Sales Engineer or Systems integrator
• Knowledge of network security technologies

What Will Make You Stand Out (Preferred Qualifications)

• Industry certifications including CCNP, JNCIP, PCNSA, CISSP, or CCSP
• Experience working with large enterprise and major accounts

#LI-Remote

#LI-EV1

The role 

Nebius is building the cloud infrastructure that will power the next generation of Physical AI—robotics, autonomous systems, simulation/world models, and embodied intelligence operating in the real world.

The Field CTO for Physical AI & Robotics is a senior technical leadership role responsible for converting raw market demand into a scalable, domain-specific platform. You will own the technical product strategy, ensuring Nebius evolves its capabilities to support the unique demands of Physical AI workloads. Operating at the intersection of deep customer engagement and platform engineering, you will serve as a principal technical partner in strategic opportunities—engaging directly with customer CTOs to map Nebius’ existing capabilities to their immediate needs to help close complex deals. You will not only identify customer challenges but also architect the solution patterns that solve them for the entire market.

This is a definitive "Zero to One" opportunity to define a new category of cloud infrastructure from the ground up.

You’re welcome to work remotely from the Unites States (SF Bay Area, CA & Austin, TX Preferred)

Your responsibilities will include: 

• Executive Technical Leadership: Serve as the external "CTO" face of Nebius to Physical AI customers, partners, and ecosystem stakeholders, building trust with executive peers.
• Lighthouse Deal Support: Partner with Sales leadership to close strategic "company-making" deals by leading architectural workshops and aligning technical roadmaps with customer goals.
• Technical Product Strategy: Translate bespoke customer needs into clear, scalable technical and product requirements for Nebius product, engineering, and infrastructure teams.
• Field Enablement: Act as a force multiplier for the sales organization by creating the technical narrative, reference architectures, and training materials needed to upskill Field SAs and Sellers.
• Cross-Functional Alignment: Drive alignment across Product, Engineering, Infrastructure, and GTM teams, ensuring the internal roadmap reflects the reality of the market.
• Architectural Guidance: Provide architectural guidance to help customers maximize value from Nebius services, while identifying the necessary "primitives" required to support end-to-end robotics workflows.
• Pattern Recognition: Identify recurring customer pain points across robotics, simulation, and data pipelines to surface gaps in existing offerings and influence roadmap decisions.
• Ecosystem & M&A: Partner with ecosystem vendors (simulation platforms, robotics frameworks) to identify integration opportunities and evaluate potential technical M&A targets.
• Feedback Loops: Maintain structured internal feedback loops to ensure customer learnings are tracked, communicated, and acted upon by R&D. 

We expect you to have: 

• 10+ years of experience in cloud infrastructure, platform engineering, or distributed systems.
• 5+ years of experience in AI, HPC, and/or robotics, with exposure to production or large-scale systems.
• Prior experience in a senior technical leadership role (e.g., Field CTO, Head of Engineering, Principal Architect, or Distinguished Engineer).
• Dual-Competency: You are equally comfortable drawing a distributed system architecture on a whiteboard for engineers and explaining the business value of that architecture to a CEO.
• GTM Fluency: Experience partnering with Sales teams to close large-scale enterprise deals and enabling field teams with technical assets.
• Product-Minded Leadership: Experience defining a product or platform strategy based on market feedback, not just executing technical tickets.
• Technical Depth: Strong hands-on understanding of GPU-centric infrastructure, high-performance compute, storage systems, and networking.
• Robotics Fluency: Experience with Physical AI and robotics workflows, including simulation, synthetic data, training pipelines, and real-world deployment constraints.
• Communication: Strong executive presence, capable of influencing product teams and leadership through clarity and credibility.
• Comfort in Ambiguity: Experience operating in fast-moving environments (hyperscalers, cloud platforms, or advanced AI startups) where requirements are evolving. 

Why Nebius:

• Build Solutions: You aren't just selling infrastructure; you are shaping the cloud architecture that will power the next generation of Physical AI
• Frontier Technology: Work at the frontier of AI, simulation, and real-world intelligence alongside leading customers and partners
• Strategic Impact: Operate with real influence over product direction, platform strategy, and ecosystem development
• Ownership: Join a team that values technical depth, ownership, and speed of execution
• Mission: Help define how intelligence moves from the data center into the physical world

About us 

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

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

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

Job Summary 

We are seeking an experienced Staff UEFI Engineer to design, develop, and deploy UEFI-based firmware for Graphcore’s hyperscale AI server platforms. 

This role focuses on developing system firmware responsible for platform initialization, hardware configuration, and reliability features across large-scale data center deployments. 

The Team 

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

The Firmware Engineering team develops the foundational firmware responsible for platform initialization, hardware configuration, and system reliability across Graphcore’s AI compute infrastructure. 

The team collaborates with silicon engineering, hardware design teams, BMC firmware teams, validation engineers, and platform architects to enable reliable server platform bring-up and operation. 

Responsibilities and Duties 

• Design, develop, and deploy UEFI-based firmware for hyperscale server platforms. 

• Collaborate with ODM partners throughout the design lifecycle from concept to mass production. 

• Integrate UEFI firmware into CI/CD pipelines enabling automated builds, regression testing, and static analysis. 

• Develop firmware functionality supporting platform initialization including CPU, memory, PCIe, and system interconnects. 

• Implement system firmware security features including root of trust, secure boot chains, and signed firmware updates. 

• Develop platform firmware features supporting server reliability, availability, and serviceability (RAS). 

• Build firmware interfaces supporting telemetry, firmware updates, and system management capabilities. 

• Collaborate with hardware, BMC, security, and validation teams to ensure full platform integration. 

• Debug and perform root cause analysis for firmware and hardware issues across lab and production environments. 

Candidate Profile 

Essential 

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

• 10+ years of experience developing UEFI or BIOS firmware for server platforms. 

• Strong expertise with UEFI, TianoCore, and firmware architecture design. 

• Experience developing firmware solutions for hyperscale or cloud data center environments. 

• Strong programming skills in C/C++. 

• Deep understanding of DDR memory training, cache coherency protocols, and PCIe subsystems. 

• Strong knowledge of server platform architecture including power delivery, thermal management, sensors, and FRUs. 

• Experience implementing CI/CD pipelines for firmware development. 

• Experience debugging system firmware using logic analyzers, JTAG, GDB, and similar tools. 

Desirable 

• Experience developing UEFI firmware for ARM-based server platforms. 

• Experience with EDK II codebase development and upstream contribution. 

• Experience working with ODM/JDM partners on server platform development programs. 

• Experience delivering firmware for hyperscale cloud deployments and production environments. 

Benefits:

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

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

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

Solution Architect

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

What experience should you have:

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

Nice to have: 

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

What you’ll be doing in this role:

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

You should not apply if:

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

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

Apply today or check out all our opportunities!

#LI-Hybrid

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

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.

About us 

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

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

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

Job Summary 

We are seeking an experienced Principal Security Firmware Engineer to design, implement, and validate security mechanisms within embedded firmware and low-level system software supporting Graphcore’s AI compute platforms. 

This role focuses on protecting hardware platforms through secure firmware architecture, trusted boot mechanisms, and secure firmware update frameworks while working closely with hardware, firmware, and security architecture teams. 

The Team 

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

The Firmware and Platform Security team is responsible for securing Graphcore’s AI infrastructure platforms across firmware and hardware interface layers. 

The team collaborates with silicon engineering, hardware design teams, firmware developers, and security architects to implement trusted boot chains, secure firmware update mechanisms, and hardware-rooted security capabilities. 

Responsibilities and Duties 

• Design and implement secure firmware architectures for embedded and hardware systems. 

• Develop secure boot, firmware authentication, hardware root of trust, and secure firmware update mechanisms. 

• Define threat models and security requirements for firmware components. 

• Develop and maintain secure embedded firmware using languages such as C, C++, and Rust. 

• Integrate cryptographic libraries and hardware security modules (HSM/TPM). 

• Implement protections against firmware tampering, side-channel attacks, fault injection, and reverse engineering. 

• Perform firmware security assessments, code reviews, and vulnerability analysis. 

• Conduct penetration testing, fuzz testing, and other security validation techniques. 

• Collaborate with hardware teams to integrate chip-level security features. 

• Ensure firmware implementations align with industry standards such as NIST, FIPS, and Secure Development Lifecycle practices. 

Candidate Profile 

Essential 

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

• 5–10+ years of experience in embedded systems or firmware development. 

• Strong programming experience in C and C++. 

• Deep understanding of secure boot architectures and trusted boot chains. 

• Strong knowledge of cryptographic protocols and secure firmware design practices. 

• Experience working with embedded operating systems such as FreeRTOS, Zephyr, or Linux. 

• Experience implementing secure firmware update systems and cryptographic key management. 

Desirable 

• Programming experience in Rust. 

• Experience integrating TPM or hardware security modules (HSM). 

• Experience with static analysis and security tools such as Coverity. 

• Knowledge of secure silicon architectures and trusted execution environments. 

• Experience contributing to open-source firmware security projects. 

Benefits:

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

Principal Embedded SW/FW Engineer (Bringup)

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

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

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

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

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

Responsibilities and Duties 

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

Essential skills: 

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

  Desirable skills: 

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

Benefits:

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

About us 

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

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

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

Job Summary 

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

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

The Team 

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

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

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

Responsibilities and Duties 

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

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

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

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

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

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

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

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

Candidate Profile 

Essential 

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

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

• Experience developing diagnostics or monitoring systems for hardware platforms. 

• Experience working with distributed systems or cloud infrastructure. 

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

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

• Strong analytical and debugging skills. 

• Excellent communication and collaboration abilities. 

Desirable 

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

• Familiarity with hyperscale data center infrastructure. 

• Experience building cluster-level monitoring or diagnostics systems. 

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

Principal Post Silicon Validation Engineer (Bringup)

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

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

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

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

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

Responsibilities and Duties 

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

Essential skills: 

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

  Desirable skills: 

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

Benefits:

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

About us 

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

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

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

This position is a senior technical engineer role.  The thermal engineer will work in a project team delivering complex AI data center hardware.  Primary responsibility is to ensure the overall product functionality and meet all applicable technical thermal specifications.  The engineer will be responsible for the overall thermal solution, creation of specifications, design review and qualification, and testing and validation.  This role involves deep understanding of thermal management principles, simulation, testing, and collaboration with cross-functional teams to deliver high-performance and reliable server cooling systems. 

Responsibilities: 
Expert in your chosen field, you’ll be responsible for designing, developing, modifying and evaluating the liquid cooling solutions focusing on direct liquid cooling (DLC).  As part of the technical function, you will be responsible in working with select ODM vendors to manage the product thermal specification, development schedule, meet various deliverables, resolve technical issues, and ensure product meets specification, cost and quality goals.  You will be responsible in guiding and directing ODM vendors to deliver thermal designs, implementation, monitor testing, review cost and review technical design information to provide clear directions to ODM.  In addition, you will also be working with third party vendors and suppliers to ensure product features are being achieved.  

REQUIREMENTS

• Bachelor’s, Master’s or Ph. D degrees in mechanical engineering.  Minimum of 10 years of server thermal design experience.  Experience needs to include thermal and acoustics, as it relates to server products.  Experience in system level thermal design focusing on DLC and cold plate cooling heatsink technology as well as system level control logic
• Understanding the basic foundations of thermal fluid dynamics and heat transfer.
• Ability to lead the design and development of liquid cooling solutions. This includes conceptualization, prototyping, simulation, validation, and optimization of heat sinks, cold plates, CDU/CDM, and other liquid cooling components.
• Ability to perform thermal simulations and analyses utilizing industry-standard software (e.g., FlowTherm, ANSYS, COMSOL) to analyze thermal behavior and optimize design for performance and efficiency.
• Ability to develop and execute test plans to validate thermal solutions, ensuring compliance with industry standards and performance goals.
• Experience working closely with system architects, chip and board designers, and software/firmware engineers to integrate liquid cooling solutions into server products.
• Understanding of microprocessor architecture and thermal profiles.
• Understanding of system level thermal design focusing on fan and heatsink technology.
• Experience with system level thermal and fan control algorithm.
• Experience effectively dealing with conflict.
• Communicates well verbally, in writing, and graphically.
• Ability to establish clear goals and formulate plans to achieve them.
• Good root-cause analysis and problem-solving skills.
• Works independently and as part of a team.
• Excited about technology and has the desire to learn new tasks and technologies.

DIFFERENTIATORS

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

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.

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.
  
  

Position Summary 

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

Ideal Candidate Profile 

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

Key Responsibilities 

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

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

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

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

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

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

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

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

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

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

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

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

Qualifications 

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Location 

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

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

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

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

Who you are

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

What we need

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

What you will learn

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

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

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

The Opportunity

We are looking for a Key Account Director to lead growth within a set of Postman’s most important enterprise accounts. This role is part of a new strategic go-to-market motion designed to deepen our engagement with large enterprises, expand our footprint, and deliver the full value of the Postman platform.

You will be paired with a pod that includes a Principal Solutions Engineer and a Field CTO, forming a high-caliber account team focused on building long-term, value-based relationships. Together, you’ll engage senior technology leaders, uncover complex challenges, and drive adoption of Postman’s enterprise and platform solutions at scale.

This is not a traditional “low-hanging fruit” sales role—this is about strategic account expansion, multi-threaded enterprise engagement, and solution selling.

Location: This fully remote role based in Atlanta, GA. We are looking for someone who is willing to visit customers in their territory.

What You’ll Do

• Own and grow a portfolio of strategic enterprise accounts (e.g., Fortune 500, cloud-first companies, large-scale developer organizations).
• Deeply engage with senior buyers—CIOs, CTOs, VPs of Engineering, Platform, Security, and Collaboration—to position Postman as a critical platform solution.
• Drive multi-threaded sales campaigns that expand existing usage and convert massive developer adoption (tens of thousands of users) into enterprise-wide value.
• Lead complex solution sales cycles across collaboration, security, API governance, and emerging AI-enabled workflows.
• Identify customer pain points and design tailored value propositions that demonstrate ROI and impact at scale.
• Orchestrate cross-functional engagement with Customer Success, Product, and Marketing to maximize customer outcomes.
• Track, forecast, and report on account progress, pipeline health, and business results.
• Be a thought partner to your accounts, staying ahead of industry trends like agentic AI, workflow automation, and cloud-native development.
• Partner with relevant stakeholders to drive account strategy and expansion.

Location: This is a hybrid job. We are looking for someone based in Atlanta who will work from home, but is willing to visit customers in the area and in their territory. 

About You

• 10–15 years of enterprise sales experience, with a proven track record in strategic account management and expansion.
• Experience selling technical and platform products (developer tools, SaaS platforms, cloud infrastructure, or security solutions).
• Demonstrated success in solution selling—engaging with senior technology leaders and driving multi-million dollar expansion deals.
• History of working long cycles and successfully growing accounts over time.
• Ability to navigate large, complex organizations with thousands of users and multiple stakeholders.
• Collaborative mindset with experience working closely with technical teams (solutions engineers, architects, CTOs).
• Deep understanding of enterprise buyer personas (security, collaboration, platform, developer productivity).
• Curiosity and fluency in emerging technologies, particularly AI/agentic AI, and how they can automate workflows and deliver customer value.
• Strong executive presence, relationship-building skills, and the ability to influence at the C-suite level.

Why Join Us

• Be part of an innovative sales model at one of the fastest-growing developer platforms in the world.
• Partner with world-class colleagues in a pod structure designed to maximize customer impact.
• Work with some of the largest and most innovative technology companies on the planet.
• Play a key role in shaping how Postman goes deeper into enterprise accounts and accelerates platform adoption.

The reasonably estimated OTE for this role is $320,000- $420,000 plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.

The Opportunity

We are looking for a Strategic Account Director to lead growth within a set of Postman’s most important enterprise accounts. This role is part of a new strategic go-to-market motion designed to deepen our engagement with large enterprises, expand our footprint, and deliver the full value of the Postman platform.

You will be paired with a pod that includes a Principal Solutions Engineer and a Field CTO, forming a high-caliber account team focused on building long-term, value-based relationships. Together, you’ll engage senior technology leaders, uncover complex challenges, and drive adoption of Postman’s enterprise and platform solutions at scale.

This is not a traditional “low-hanging fruit” sales role—this is about strategic account expansion, multi-threaded enterprise engagement, and solution selling.

Location: This fully remote role based in Chicago, IL. We are looking for someone who is willing to visit customers in their territory.

What You’ll Do

• Own and grow a portfolio of strategic enterprise accounts (e.g., Fortune 500, cloud-first companies, large-scale developer organizations).
• Deeply engage with senior buyers—CIOs, CTOs, VPs of Engineering, Platform, Security, and Collaboration—to position Postman as a critical platform solution.
• Drive multi-threaded sales campaigns that expand existing usage and convert massive developer adoption (tens of thousands of users) into enterprise-wide value.
• Lead complex solution sales cycles across collaboration, security, API governance, and emerging AI-enabled workflows.
• Identify customer pain points and design tailored value propositions that demonstrate ROI and impact at scale.
• Orchestrate cross-functional engagement with Customer Success, Product, and Marketing to maximize customer outcomes.
• Track, forecast, and report on account progress, pipeline health, and business results.
• Be a thought partner to your accounts, staying ahead of industry trends like agentic AI, workflow automation, and cloud-native development.
• Partner with relevant stakeholders to drive account strategy and expansion.

About You

• 10–15 years of enterprise sales experience, with a proven track record in strategic account management and expansion.
• Experience selling technical and platform products (developer tools, SaaS platforms, cloud infrastructure, or security solutions).
• Demonstrated success in solution selling—engaging with senior technology leaders and driving multi-million dollar expansion deals.
• History of working long cycles and successfully growing accounts over time.
• Ability to navigate large, complex organizations with thousands of users and multiple stakeholders.
• Collaborative mindset with experience working closely with technical teams (solutions engineers, architects, CTOs).
• Deep understanding of enterprise buyer personas (security, collaboration, platform, developer productivity).
• Curiosity and fluency in emerging technologies, particularly AI/agentic AI, and how they can automate workflows and deliver customer value.
• Strong executive presence, relationship-building skills, and the ability to influence at the C-suite level.

Why Join Us

• Be part of an innovative sales model at one of the fastest-growing developer platforms in the world.
• Partner with world-class colleagues in a pod structure designed to maximize customer impact.
• Work with some of the largest and most innovative technology companies on the planet.
• Play a key role in shaping how Postman goes deeper into enterprise accounts and accelerates platform adoption.

The reasonably estimated OTE for this role is $320,000- $420,000 plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.

The Opportunity

We are looking for a Key Account Director to lead growth within a set of Postman’s most important enterprise accounts. This role is part of a new strategic go-to-market motion designed to deepen our engagement with large enterprises, expand our footprint, and deliver the full value of the Postman platform.

You will be paired with a pod that includes a Principal Solutions Engineer and a Field CTO, forming a high-caliber account team focused on building long-term, value-based relationships. Together, you’ll engage senior technology leaders, uncover complex challenges, and drive adoption of Postman’s enterprise and platform solutions at scale.

This is not a traditional “low-hanging fruit” sales role—this is about strategic account expansion, multi-threaded enterprise engagement, and solution selling.

Location: This fully remote role based in Dallas, TX. We are looking for someone who is willing to visit customers in their territory.

What You’ll Do

• Own and grow a portfolio of strategic enterprise accounts (e.g., Fortune 500, cloud-first companies, large-scale developer organizations).
• Deeply engage with senior buyers—CIOs, CTOs, VPs of Engineering, Platform, Security, and Collaboration—to position Postman as a critical platform solution.
• Drive multi-threaded sales campaigns that expand existing usage and convert massive developer adoption (tens of thousands of users) into enterprise-wide value.
• Lead complex solution sales cycles across collaboration, security, API governance, and emerging AI-enabled workflows.
• Identify customer pain points and design tailored value propositions that demonstrate ROI and impact at scale.
• Orchestrate cross-functional engagement with Customer Success, Product, and Marketing to maximize customer outcomes.
• Track, forecast, and report on account progress, pipeline health, and business results.
• Be a thought partner to your accounts, staying ahead of industry trends like agentic AI, workflow automation, and cloud-native development.
• Partner with relevant stakeholders to drive account strategy and expansion.

About You

• 10–15 years of enterprise sales experience, with a proven track record in strategic account management and expansion.
• Experience selling technical and platform products (developer tools, SaaS platforms, cloud infrastructure, or security solutions).
• Demonstrated success in solution selling—engaging with senior technology leaders and driving multi-million dollar expansion deals.
• History of working long cycles and successfully growing accounts over time.
• Ability to navigate large, complex organizations with thousands of users and multiple stakeholders.
• Collaborative mindset with experience working closely with technical teams (solutions engineers, architects, CTOs).
• Deep understanding of enterprise buyer personas (security, collaboration, platform, developer productivity).
• Curiosity and fluency in emerging technologies, particularly AI/agentic AI, and how they can automate workflows and deliver customer value.
• Strong executive presence, relationship-building skills, and the ability to influence at the C-suite level.

Why Join Us

• Be part of an innovative sales model at one of the fastest-growing developer platforms in the world.
• Partner with world-class colleagues in a pod structure designed to maximize customer impact.
• Work with some of the largest and most innovative technology companies on the planet.
• Play a key role in shaping how Postman goes deeper into enterprise accounts and accelerates platform adoption.

The reasonably estimated OTE for this role is $320,000- $420,000 plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.

JOB SUMMARY

We're looking for experienced senior electrical engineers to drive our electronics developments for the Apollo humanoid robot. We value first-principal thinkers who embody creativity, humility, integrity, passion, and curiosity. We are primarily interested in candidates who have developed and released products to the market in robotics, automotive, medical, personal electronics, or enterprise spaces. In this job role, you will develop electronic systems from ideation through design, testing, and into mass production. 

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES

• Own the development of complex electronic components and sub-systems.
• Design, simulate, implement, and test multi-layer mixed signal PCBAs.
• Rapid prototyping of electrical systems at both system and board levels.
• Simulate and verify electronics and electrical system requirements.
• Generate design documentation such as schematics, block diagrams, test plans and procedures, fabrication and assembly drawings.
• Collaborate closely with cross-functional teams, including software, mechanical, thermal, systems engineers, and manufacturing. 
• Conduct performance benchmarking and power analysis to optimize the hardware for maximum efficiency and thermal management.
• Develop and execute comprehensive validation and test plans, design necessary test fixtures, and execute rigorous testing to confirm compliance with performance specifications and regulatory standards (e.g., FCC, CE, UL).
• Participate in the debugging and root cause analysis related to hardware and software defect resolution.
• Drive excellence in EMI/EMC/SI/PI and DFM/DFA.
• Own the entire lifecycle of electronics and electrical systems from initial concept and architecture definition through design, prototyping, validation, production release, change requests, and ongoing support.
• Manage 3rd party relationships with vendors, contract manufacturers, and external design services.
• Act as a mentor within the electrical engineering team, guiding junior engineers on best practices for hardware design, documentation, and troubleshooting.

SKILLS AND REQUIREMENTS

• Proven experience in architecting and shipping electronics products in mass production.
• Experience with product lifecycle management and PLM systems such as Arena.
• Competent in CAD tools including Altium or similar tools.
• Proven experience designing, prototyping, and debugging PCB/PCBAs as well as interfacing with manufacturing groups during release/build.
• Experience with electronics lab tools and simulation tools (ex: LTSpice, PSpice).
• Excellent communication (verbal & written); will be expected to develop detailed build assembly instructions and diagrams.
• Excellent problem-solving and hardware debugging skills.
• Hands-on experience with prototyping and testing, including the use of lab equipment.
• Travel up to 10% within the US and internationally.
• Experience with robotics or designing electronics for lightweight, space-constrained systems is a significant plus.

EDUCATION and/or EXPERIENCE

• Bachelors, Masters, or PhD degree (or equivalent) in Electrical Engineering or related field.
• 4+ years of experience in electrical engineering.

NICE TO HAVE:

• Prior experience designing electronics for lightweight, space-constrained systems
• Experience implementing embedded systems on robots and troubleshooting hardware
• Knowledge of emerging technologies such as AI accelerators or quantum computing is a plus 

PHYSICAL REQUIREMENTS

• Prolonged periods of sitting at a desk and working on a computer 
• Must be able to lift 15 pounds at times
• Vision to read printed materials and a computer screen
• Hearing and speech to communicate 

JOB SUMMARY

We're looking for experienced staff electrical engineers to drive our electronics developments for the Apollo humanoid robot. We value first-principal thinkers who embody creativity, humility, integrity, passion, and curiosity. We are primarily interested in candidates who have developed and released products to the market in robotics, automotive, medical, personal electronics, or enterprise spaces. In this job role, you will own electronic systems from ideation through design, testing, and into mass production.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES:

• Architect high-level system electronics while being able to dive deep into the details of PCBA development and component selection.
• Lead engineering initiatives as a technical lead. Mentor junior and senior engineers.
• Collaborate with leadership, program management, and cross-functional teams to plan and execute company strategy.
• Innovate by bringing new core technologies, test practices, and processes into electrical engineering developments.
• Define, simulate, and verify electronics and electrical system requirements.
• Design, simulate, implement, and test multi-layer mixed signal PCBAs.
• Rapid prototyping of electrical systems at both system and board levels.
• Generate design documentation such as schematics, block diagrams, test plans and procedures, fabrication and assembly drawings.
• Design hardware to meet functional safety requirements, implementing redundant systems, fail-safe mechanisms, and diagnostic features to meet or exceed industry safety standards.
• Conduct performance benchmarking and power analysis to optimize the hardware for maximum efficiency and thermal management.
• Develop and execute comprehensive validation and test plans, design necessary test fixtures, and execute rigorous testing to confirm compliance with performance specifications and regulatory standards (e.g., FCC, CE, UL).
• Participate in the debugging and root cause analysis related to hardware and software defect resolution.
• Drive excellence in EMI/EMC/SI/PI and DFM/DFA.
• Manage 3rd party relationships with vendors, contract manufacturers, and external design services.

SKILLS AND REQUIREMENTS:

• 8+ years of experience in electronics development.
• Demonstrated leadership ability as a technical lead or manager.
• Proven experience in architecting and shipping electronics products in mass production.
• Experience with product lifecycle management and PLM systems such as Arena.
• Competent in CAD tools including Altium or similar tools.
• Proven experience designing, prototyping, and debugging PCB/PCBAs as well as interfacing with manufacturing groups during release/build.
• Extensive experience with electronics lab tools and simulation tools (ex: LTSpice, PSpice).
• Excellent communication (verbal & written); will be expected to develop detailed build assembly instructions and diagrams.
• Excellent problem-solving and hardware debugging skills.
• Hands-on experience with prototyping and testing, including the use of lab equipment.
• Travel up to 10% within the US and internationally.
• Experience with robotics or designing electronics for lightweight, space-constrained systems is a significant plus.
• Bachelors, Masters, or PhD degree (or equivalent) in Electrical Engineering or related field.

PREFERRED SKILLS AND REQUIREMENTS:

• Prior experience designing electronics for lightweight, space-constrained systems
• Experience implementing embedded systems on robots and troubleshooting hardware
• Knowledge of emerging technologies such as AI accelerators or quantum computing is a plus 

PHYSICAL REQUIREMENTS:

• Prolonged periods of sitting at a desk and working on a computer 
• Must be able to lift 15 pounds at times
• Vision to read printed materials and a computer screen
• Hearing and speech to communicate 

Venture Global LNG (“Venture Global”) is a long-term, low-cost provider of American-produced liquefied natural gas. The company’s Louisiana-based export projects service the global demand for North American natural gas and support the long-term development of clean and reliable North American energy supplies. Using reliable, proven technology in an innovative plant design configuration, Venture Global’s modular, mid-scale plant design will replace traditional designs as it allows for the same efficiency and operational reliability at significantly lower capital cost. 

We are seeking Principal Engineer, Mechanical to join our team in Houston. This position is a Monday - Friday in-office. 

Responsibilities:

• Lead engineering design, scope refinement, cost estimating, development of project design specifications, and support construction
• Oversee project activities of third party project managers, engineers, construction managers, inspectors, and contractors
• Influence decisions that improve reliability and operability, reduce operating costs, and create a sustainable competitive advantage
• Translate project plans into coherent, credible, realistic project schedules
• Specifying equipment and major materials for procurement
• Providing in the field construction assistance
• Understand industry standards, applicable regulatory codes and requirements, and company standards
• Single point accountability for the technical execution and related aspects to achieve project objectives and business intent
• Ensure overall project technical quality and conformance to plan (scope, budget & schedule).
• Support Change Management functions, Value Improvement Practices, Bid Evaluations, Process and Implementation studies

Qualifications:

• Bachelor of Science degree in Engineering from an accredited university
• Minimum of twelve years combined experience in Design, Commissioning, or Operations of Cryogenic Processes
• Minimum of five years multi-discipline engineering management experience
• Experience in LNG liquefaction facilities highly preferred
• Ability to perform multiple tasks and work within project deadlines, and adjust as priorities changes occur
• Possess the ability to mentor others through technical training and guidance on planning, scheduling, and engineering subjects
• Have the ability to read and interpret engineer drawings to include P&IDs, PFDs, C&Es, One Line Diagrams, Isometrics, and Civil/Structural drawings
• Broad knowledge of Codes, Standards, and Industry Best Practices
• Exhibit excellent written and oral communication skills
• Have advanced computer experience with Microsoft Office, Microsoft Projects, PowerPoint, and Excel

Venture Global LNG is an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. 

Are you passionate about building software solutions to solve real customer problems? Do you like fast-paced work environments? Are you passionate about modern programming languages, design patterns, and scalable architectures? You’ll be right at home here!

You will be joining the Enterprise Systems tech community, the vital architectural backbone where Realtor.com’s most ambitious strategic initiatives transform into reality. Our team doesn't just manage software; we build the high-speed 'engine room' that powers the entire business lifecycle—integrating complex sales, billing, inventory, and fulfillment platforms into a seamless, high-scale ecosystem. At Realtor, you will be part of a forward-thinking community dedicated to compressing the distance between business intent and execution. We research and deploy cutting-edge autonomous workflow engines to ensure our customers and internal partners have a best-in-class, friction-free experience. We strive to innovate by building self-healing infrastructures and AI-driven automation that make the transaction journey faster and more intelligent than ever before. Join us to push the boundaries of what’s possible, turning traditional systems of record into dynamic engines of growth, while learning from world-class talent in a culture that thrives on experimentation and impact.

We believe in leveraging the best tools to solve problems faster. You will be expected to utilize AI coding assistants and LLMs proficiently to accelerate development velocity, generate boilerplate, and troubleshoot complex debugging scenarios. Beyond simple usage, this role requires critical judgment to verify AI-generated outputs for security, performance, and accuracy. You should be comfortable integrating AI tooling into your daily workflow to eliminate repetitive tasks, allowing you to focus on high-impact architectural and strategic engineering challenges.

Top Reasons to Apply:

• The Opportunity: As a Principal Salesforce Engineer, you will be the lead architect of our mission-critical Salesforce platform. You will design the "paved paths" that allow data to flow effortlessly between Salesforce, our broader enterprise ecosystem to power advanced analytics and Agentforce autonomous workflows. Your deep technical expertise in both declarative and programmatic development will ensure our systems are scalable, secure, and ready for the AI-first era.
• The Scale: We’re managing massive datasets to empower millions of users in a high-velocity 2026 market.
• The Tech Evolution: We’re currently leaning into AI-integrated search and real-time data streaming to stay ahead of the 14% surge in market activity.
• The Impact: Realtor.com is currently the 'Purposeful Portal' for the industry. While the 2026 market is finally stabilizing, the complexity of the transaction remains the biggest hurdle for Americans. By joining as a Principal Engineer, you aren't just managing a CRM; you’re building the high-speed engine that compresses the distance between a buyer’s intent and their new front door.

What will you be doing?

• Architect Multi-Cloud Solutions: Design and implement robust, high-availability architectures across Sales, CPQ, Service, and Marketing Clouds that support Realtor.coms core business functions.
• Lead AI & Agentic Innovation: Spearhead the deployment of Agentforce and Einstein GPT, moving from user-initiated tasks to event-driven, autonomous
  agents that own business outcomes
• Develop High-Scale Integrations: Build secure, high-performance integration patterns using REST/SOAP APIs, and Platform Events to sync Salesforce with downstream fulfillment and finance systems.
• Uphold Engineering Excellence: Define and enforce standards for code quality (Apex, LWC), security (Zero-Trust), and DevOps (CI/CD) to ensure platform stability and 99.9% availability.
• Mentor & Influence: Act as a technical mentor to Senior and Lead engineers across multiple squads, driving consensus on complex architectural decisions through RFCs and design reviews.
• Optimize Performance: Deep-dive into complex performance bottlenecks, optimizing SQL queries, async processing, and platform limits to handle rising data volumes.

What will you bring?

• Extensive Platform Expertise: 12+ years of hands-on Salesforce development experience with a proven track record of delivering global enterprise-scalevsolutions.
• Deep Technical Roots: Expert-level proficiency in Apex, Lightning Web Components (LWC), and advanced Flows, with a strong intuition for when to use "clicks vs. code".
• AI & Data Fluency: Hands-on experience implementing Salesforce AI capabilities (Agentforce, Prompt Builder) and Data Cloud harmonization.
• Systems Architecture: Mastery of integration patterns, event-driven architecture, and managing complex multi-org or consolidated environments.
• Security & Compliance Mastery: Deep understanding of the Salesforce security model (Shield, Event Monitoring) and its alignment with global standards like GDPR and CCPA.
• Advanced Certifications: At least one Architect-level certification (e.g., Application, System, or Integration Architect). Certified Technical Architect (CTA)
  or AI Specialist is highly preferred.
• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

How We Work:

We balance creativity and innovation on a foundation of in-person collaboration. Our employees work three days in our Austin headquarters, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.

How we Reward you:

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

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

Lead Delivery - Senior Staff Engineer

Would you like to work in an engineering environment that rewards your passion? The Lead Services engineering team runs Realtor.com®’s Tier 1, mission-critical lead platform — the real-time system that ingests, allocates, and delivers the leads that directly drive revenue across our products and business lines. From the moment a consumer raises their hand to the instant a high-intent opportunity reaches the right agent or partner, this team ensures those connections are fast, reliable, and observable end-to-end.

Join a team that strives for innovation and excellence using the latest technology and frameworks.

We believe in leveraging the best tools to solve problems faster. You will be expected to utilize AI coding assistants and LLMs proficiently to accelerate development velocity, generate boilerplate, and troubleshoot complex debugging scenarios. Beyond simple usage, this role requires the critical judgment to verify AI-generated outputs for security, performance, and accuracy. You should be comfortable integrating AI tooling into your daily workflow to eliminate repetitive tasks, allowing you to focus on high-impact architectural and strategic engineering challenges.

What You'll Do: 

• Own system architecture and evolution for key parts of the Lead Services platform (e.g., lead ingestion pipelines, allocation engines, delivery services, ARM/lead management), defining clear boundaries, contracts, and data models between services.
• Lead design and delivery of complex, cross-squad initiatives—from early discovery and technical design through implementation, rollout (including CRs/CAB where required), and post‑launch iteration.
• Shape the technical roadmap for Lead Services: partner with EMs, PMs, and Principal Engineers to define and sequence work that advances both business goals and platform health (performance, reliability, security, cost).
• Raise the quality and reliability bar by driving best practices in testing (unit, integration, e2e), observability, and change management (CircleCI, ArgoCD, Jira CRs), and by using DORA and incident metrics to guide improvements.
• Provide technical leadership across Builder teams, coaching Staff/Senior Engineers and Tech Leads, reviewing designs and PRs for high‑risk changes, and aligning teams on shared patterns and paved paths.
• Partner closely with Product Management to translate customer and business problems into robust technical solutions, shaping scope, trade‑offs, and phased delivery plans that tie into Goals, Initiatives, and Epics in Jira.
• Lead operational excellence: influence on‑call practices, incident response (Phoenix), and RCA quality; ensure services meet or exceed SLAs for lead ingest and delivery while continuously reducing incident volume and MTTR.
• Influence engineering culture by contributing to shared standards (DoD, design / incident / CR templates), documenting patterns in Confluence/Backstage, and driving adoption across Lead Services and adjacent communities.

What You'll Bring:

• 10+ years of software engineering experience, including significant time in large‑scale, distributed systems and 3+ years influencing architecture and design across multiple teams.
• Demonstrated track record leading complex, ambiguous initiatives end‑to‑end (design → implementation → rollout → operations) with measurable business and reliability outcomes.
• Prior experience in high‑throughput, high‑availability platforms (e.g., marketplaces, transactional or event-driven systems) is strongly preferred.
• Proven ability to set technical direction for a problem space, align multiple teams, and drive execution without formal authority.
• Deep proficiency in at least one of Python, TypeScript/Node, or similar back‑end languages, and familiarity with React/TypeScript for full‑stack collaboration.
• Experience designing and operating cloud-native services on AWS (EKS, containers, managed databases, messaging/streaming) with modern CI/CD (e.g., CircleCI, ArgoCD).
• Strong grounding in system design, data modeling, and API design (REST/GraphQL), including performance, resilience, and security considerations.
• Comfort working with observability tooling (metrics, logs, traces) and using data to debug, optimize, and harden systems in production.
• Independent and can manage your own projects and time with ease, all the while setting and managing stakeholder expectations
• Strong communication skills: you can explain complex trade‑offs clearly to engineers, product partners, and non‑technical stakeholders, and you adapt your message to the audience.
• A track record of mentoring and elevating other engineers, helping them grow into Staff and beyond through coaching, clear expectations, and actionable feedback.
• Bachelor’s degree in Computer Science/Engineering/related field or equivalent professional experience.

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

We have an exciting opportunity for a motivated and energetic Principal Data Engineer to shape and lead our technical strategy, a role critical to driving the next phase of growth and innovation within our Data community. If you're a hands-on technical leader with deep experience in building modern real-time data platforms that prioritize data governance, security, compliance, and efficient data management for optimal performance and cost, we want to hear from you!

You’ll serve as a technical leader across multiple squads, driving a roadmap that aligns our Data strategy with business needs. You'll ensure teams consistently work towards their OKRs, focusing on scaling our technology to meet evolving demands.

Initially, you’ll focus on maturing our data pipeline’s paved path, ensuring we have best-in-class tooling that exceeds the expectations of both technical and business partners. As your impact grows, you’ll take on more forward-thinking responsibilities, such as designing advanced data architectures, collaborating with stakeholders to gain a deep understanding of the organization’s data needs, and ensuring a scalable, future-ready data infrastructure.

As we continue building on our modern data platform, you’ll make strategic recommendations and drive technical decision-making across empowered teams. As a key leader in our Data community, you’ll foster a collaborative and innovative environment, focusing on excellence in both people and products, driving outcomes aligned with our company's values and objectives. You'll have the opportunity to mentor talented engineers, cultivate continuous improvement, and contribute to our engineering initiatives.

Join us in shaping the future of our data platform and making a lasting impact on our company’s success.

Top Reasons to Apply

1. Architect the Future of Data at RDC
   You won't just be maintaining systems; you will own the end-to-end architecture of our entire data landscape. As a Principal Data Engineer, you have a mandate to design and implement enterprise-grade data models and architectures that serve as the foundation for the company’s next phase of growth.
2. Bridge the Gap Between Tech and Business
   Moving away from "siloed" engineering, this role is for a high-impact communicator. You will act as a strategic partner to the business, finding gaps and proposing proactive, reasonable solutions. Your influence will ensure that our technology isn't just "cool"—it’s pragmatic, fit-for-purpose, and drives real value.
3. High Autonomy, High Impact
   If you are a self-driven leader who thrives on ownership, this is your stage. You will have the authority to make critical technical decisions across multiple squads, ensuring our data governance, security, and real-time capabilities are future-proofed for the enterprise scale

What We’re Looking For:

• Technical Leadership & Data Architecture: Champion data best practices. Develop and design modern, scalable enterprise Data and AI architectures and models, including ingestion strategies. Balance existing systems with innovative solutions. A key part of your role will be establishing robust data governance, security, and compliance policies, and optimizing data for efficient management, analysis, and significant cost control. Demonstrate strong learning agility and leadership in data cost initiatives
• Strategic Technical Decision-Making: Make strategic recommendations and drive critical technical decisions across empowered teams, influencing the technical direction and execution
• Data Strategy & Roadmap Leadership: Drive the development and execution of a data roadmap, directly aligning data initiatives with core business objectives. You'll need to demonstrate a proven track record of successfully delivering on such strategies
• Real-time Data Platform Expertise: Possess deep experience building modern, real-time data platforms, demonstrated through successful implementations
• Data Fundamentals Mastery: Demonstrate expert knowledge of SQL, data structures, algorithms, and schema design best practices.
• Stakeholder Collaboration: Collaborate effectively with stakeholders to gain a deep understanding of their data needs.
• Technical Problem-Solving: Dive into complex technical details to understand challenges, debug issues, and provide expert guidance to engineers
• 12+ years of architectural and design experience
• Bachelor's degree in Computer Science/Engineering or related field, Master's degree preferred

How We Work:

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

How We Reward You:

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

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

We are seeking a Senior Software Engineer with deep expertise in web frontend development to join our AI Integrations team. You will be responsible for building and scaling the web experiences - working at the intersection of AI and consumer-facing products.

The AI Integrations Team is a cross-functional squad that builds the future of how Realtor.com integrates AI across its products. This includes ownership over projects such as:

• Realtor.com ChatGPT AppSDK
• AI-Powered Home Search on Realtor.com web and native applications
• Shared Infrastructure & Platform for all Engineer Teams to build 

Technical Leadership

• Design and implement scalable, performant frontend architectures for AI-powered features
• Build embedded webviews that run across desktop, mobile web, iOS, and Android
• Make critical technical decisions about frameworks, libraries, and architectural patterns
• Drive best practices for React, TypeScript, GraphQL, and modern web development
• Participate in technical design reviews and architecture discussions
• Contribute to team processes, standards, and engineering culture
• Collaborate with iOS and Android engineers to ensure consistent experiences
• Partner with backend engineers to surface AI outputs effectively in the UI

What you'll bring: 

• 5+ years of professional frontend development experience
• Bachelor’s degree or equivalent experience
• Expert-level proficiency in React and modern JavaScript/TypeScript
• Deep understanding of state management patterns (Redux, Zustand)
• Strong CSS skills including responsive design, animations, and modern layout techniques
• Experience with styled-components or CSS-in-JS libraries
• Proficiency with GraphQL clients
• Experience building real-time, interactive web applications
• Understanding of Web APIs (WebSocket, Service Workers, localStorage, etc.)
• Knowledge of performance optimization techniques (lazy loading, caching)
• Understanding of monitoring and observability tools (New Relic, Datadog)

AI Integration Experience (Bonus)

• Experience building UI for AI-powered features or LLM applications
• Understanding of prompt engineering and conversational UI patterns
• Experience with streaming responses and progressive rendering of AI outputs
• Experience with web-animation libraries and interaction design (motion.dev)

What you'll do: 

Technical Excellence

• Independently design and implement complex frontend systems
• Make sound architectural decisions that balance trade-offs
• Write clean, maintainable, well-tested code that sets the standard for the team
• Identify and resolve performance bottlenecks and technical debt
• Stay current with industry trends and evaluate new technologies

Impact & Ownership

• Own entire features end-to-end from design through deployment
• Anticipate problems and proactively address them
• Make data-driven decisions about technical direction
• Deliver high-quality work consistently on schedule

Why join us:

Cutting-Edge Technology

• Work with the latest AI technologies from leading providers
• Build interfaces that leverage LLMs in production
• Shape the future of AI-powered real estate search at scale
• Millions of users rely on Realtor.com to find their next home
• Your work directly affects major life decisions for consumers
• Launch features that transform how people search for real estate

Growth

• Work alongside Staff and Principal engineers who will challenge and support you
• Exposure to full-stack technologies including mobile, backend, and AI
• Clear path to career growth with opportunities for technical leadership

How we work:

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

How We Reward You:

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

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

The Opportunity

We are looking for a Key Account Director to lead growth within a set of Postman’s most important enterprise accounts. This role is part of a new strategic go-to-market motion designed to deepen our engagement with large enterprises, expand our footprint, and deliver the full value of the Postman platform.

You will be paired with a pod that includes a Principal Solutions Engineer and a Field CTO, forming a high-caliber account team focused on building long-term, value-based relationships. Together, you’ll engage senior technology leaders, uncover complex challenges, and drive adoption of Postman’s enterprise and platform solutions at scale.

This is not a traditional “low-hanging fruit” sales role—this is about strategic account expansion, multi-threaded enterprise engagement, and solution selling.

What You’ll Do

• Own and grow a portfolio of strategic enterprise accounts (e.g., Fortune 500, cloud-first companies, large-scale developer organizations).
• Deeply engage with senior buyers—CIOs, CTOs, VPs of Engineering, Platform, Security, and Collaboration—to position Postman as a critical platform solution.
• Drive multi-threaded sales campaigns that expand existing usage and convert massive developer adoption (tens of thousands of users) into enterprise-wide value.
• Lead complex solution sales cycles across collaboration, security, API governance, and emerging AI-enabled workflows.
• Identify customer pain points and design tailored value propositions that demonstrate ROI and impact at scale.
• Orchestrate cross-functional engagement with Customer Success, Product, and Marketing to maximize customer outcomes.
• Track, forecast, and report on account progress, pipeline health, and business results.
• Be a thought partner to your accounts, staying ahead of industry trends like agentic AI, workflow automation, and cloud-native development.
• Partner with relevant stakeholders to drive account strategy and expansion.

About You

• 10–15 years of enterprise sales experience, with a proven track record in strategic account management and expansion.
• Experience selling technical and platform products (developer tools, SaaS platforms, cloud infrastructure, or security solutions).
• Demonstrated success in solution selling—engaging with senior technology leaders and driving multi-million dollar expansion deals.
• History of working long cycles and successfully growing accounts over time.
• Ability to navigate large, complex organizations with thousands of users and multiple stakeholders.
• Collaborative mindset with experience working closely with technical teams (solutions engineers, architects, CTOs).
• Deep understanding of enterprise buyer personas (security, collaboration, platform, developer productivity).
• Curiosity and fluency in emerging technologies, particularly AI/agentic AI, and how they can automate workflows and deliver customer value.
• Strong executive presence, relationship-building skills, and the ability to influence at the C-suite level.

Why Join Us

• Be part of an innovative sales model at one of the fastest-growing developer platforms in the world.
• Partner with world-class colleagues in a pod structure designed to maximize customer impact.
• Work with some of the largest and most innovative technology companies on the planet.
• Play a key role in shaping how Postman goes deeper into enterprise accounts and accelerates platform adoption.

The reasonably estimated OTE for this role is $320,000- $420,000 plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.

About The Role

As a Principal Forward Deployed Engineer (FDE) at Invisible, you'll lead high-impact, AI-powered solutions that reshape how our clients operate their most critical workflows. You won’t just build and deploy — you’ll drive the strategy, architecture, and execution of end-to-end systems, working directly with client.

This is a hybrid role: equal parts AI engineer, software builder, and technical consultant. It's perfect for someone who wants to be hands-on with models and close to the impact they generate.

**Please note - We are always looking to connect with talented individuals for this role. This posting is part of our ongoing effort to build a strong pipeline of candidates and may not correspond to an immediate opening. Candidates who move forward in the process may be considered for current and future opportunities as they arise.

What You’ll Do

• Partner with delivery and executive stakeholders to scope, design, and lead implementation of AI-driven solutions
• Identify transformational opportunities in messy, ambiguous workflows and turn them into repeatable systems
• Lead architecture design and trade-off discussions across performance, scalability, cost, and reliability
• Own projects from first discovery call through full deployment — including client-facing delivery, internal coordination, and post-launch iteration
• Build shared infrastructure, reusable components, and internal playbooks to level-up the team
• Coach and mentor mid-level engineers and help shape the culture of forward-deployed AI engineering at Invisible

What We Need

• 10+ years of software engineering experience, including significant time spent building data, ML, or backend systems
• Python & ML/LLM Frameworks: Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems
• Deployment & Infrastructure: Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS)
• Platform Orchestration: Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance
• Data Management: Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality enforcement, Delta/ETL pipelines, and replay processes
• Strong product and system design instincts — you understand business needs and how to translate them into technical architecture
• Experience building usable systems from messy data and ambiguous requirements
• Excellent communication and client-facing skills; you’ve led conversations with technical and non-technical stakeholders alike
• Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments
• Be willing to be on-call for our customers when situations arise
• Ability to travel roughly 25–50% of the time, sometimes short-notice trips—primarily across North America with occasional international roll-outs—to work directly on-site with clients
• Strong engineering background demonstrated by a Bachelor’s degree in Data Science, Computer Science and related fields OR equivalent professional experience

What’s In It For You

Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity.

For this position, the annual salary ranges by location are:

• Tier 1:  $250,000 - $366,000
• Tier 2:  $227,000 - $333,000

We are seeking a Principal Engineer to lead the hands-on architecture and development of our next-generation data and intelligence APIs. This role is deeply technical and execution-focused, responsible for defining API contracts, building production services, and architecting the platform interfaces high-performance throughput, agentic workflows, and external customer integrations.

You will operate at the intersection of distributed systems, data platforms, and agentic orchestration, ensuring our APIs are scalable, governed, observable, and designed for long-term evolution. This role requires strong systems thinking, high-quality implementation standards, and the ability to translate platform strategy into production-grade services.

This is a hands-on engineering role with architectural authority.

What You'll Do:

• Next-Generation API Architecture
• Architect and implement customer-facing data and intelligence APIs with clear versioning, SLAs, and backward compatibility.
• Define and enforce API contracts for:
• Low latency, high throughput endpoints
• Agentic workflows (tools, actions, state transitions, handoffs)
• Context retrieval and enrichment
• Design APIs as durable platform interfaces, not thin wrappers over storage systems.
• Establish standards for schema governance, payload design, and service boundaries.
• Agentic & ML Platform Integration
• Architect service layers that support agentic workflows, including orchestration interfaces, guardrails, and runtime observability.
• Build API surfaces that expose model outputs safely and consistently.
• Collaborate with MLEs and Data Scientists to move models from experimentation into robust inference services.
• Ensure proper lifecycle management, monitoring, and rollback mechanisms for ML-powered endpoints.
• Data Platform & Context Hubs
• Design and implement service layers that sit on top of the gold-layer system of record.
• Build and evolve context hubs derived from authoritative systems of record, enabling consistent entity, identity, or risk context for downstream services.
• Ensure APIs are aligned with medallion architecture principles and platform data contracts.
• Prevent fragmentation by maintaining strong coupling to canonical schemas and governed data models.
• Distributed Systems & Reliability
• Design high-throughput, low-latency services supporting batch and streaming workloads.
• Implement scalable infrastructure patterns on AWS.
• Ensure strong observability, error handling, performance tuning, and cost awareness.
• Drive infrastructure-as-code practices and production readiness standards.
• Technical Leadership
• Serve as a senior architectural voice in design reviews.
• Raise the bar on code quality, system design, and operational rigor.
• Mentor engineers on API design, distributed systems, and ML integration patterns.
• Influence platform direction through technical depth rather than organizational authority

Requirements:

• 10+ years of experience building distributed systems, APIs, or large-scale data platforms.
• Deep experience designing and implementing customer-facing APIs as long-lived products.
• Strong understanding of schema governance, versioning strategies, and contract design.
• Experience productionizing ML models and exposing inference services.
• Experience designing or integrating agentic or autonomous workflows.
• Experience building service layers on top of systems of record or semantic data layers.
• Strong background in distributed systems reliability, observability, and scalability.
• Proficiency in Go & Python (and/or backend service languages).
• Hands-on experience with Databricks/Snowflake
• Strong experience with AWS infrastructure and infrastructure-as-code tools

Nice to Have:

• AWS services including Redshift, S3, EC2, and related cloud-native tooling.
• Data stores including Elasticsearch, PostgreSQL, Redis, and graph databases (e.g., Neo4j or AWS Neptune).
• Experience building high-performance APIs and service layers over heterogeneous data systems.
• Familiarity with Databricks/Snowflake and/or SageMaker is a plus.
• Experience in cybersecurity, identity, fraud, or risk systems is a plus.

The ideal candidate possesses a strong understanding of building internal security tooling and data pipelines using public cloud infrastructure, leveraging AI technologies.  This role will be within SpyCloud Labs, SpyCloud’s in-house Security Research team, and focus on building automation and other internal tooling to facilitate the collection of recaptured third-party breach and malware data.  This is a full-time remote role supporting a hybrid workforce.

What You'll Do:

• Design, implement, and maintain internal tooling for acquiring and parsing recaptured underground data.
• Build and deploy cloud infrastructure using Infrastructure as Code technologies.
• Build and deploy automated CI/CD pipelines to test and deploy tooling and infrastructure.
• Collaborate directly with the research team to support the targeting and collection of new data sources.
• Be the subject matter expert on Security Research Engineering and the data acquisition process.
• Leverage modern AI and LLM-based tooling to streamline development and collection workflows.
• Constantly and independently work to identify improvements and automation opportunities in the recaptured data workflow and ETL pipelines. 
• Participate in security research including investigation of threat actors, malware, and other critical research in support of SpyCloud’s priorities.
• Mentor junior security researchers and engineers including providing code review and guidance on efficient code writing and professional development 

Requirements:

• 6+ years experience in a Senior role within cybersecurity engineering.
• 6+ years of professional software development experience, preferably in the cybersecurity industry
• Experience using AI/ML in development workflows.
• Experience implementing AI/ML in data processing applications.
• Highly skilled with Python. Golang proficiency a plus.
• Experience building internal tooling and deploying using Infrastructure as Code technologies (we use Terraform and Ansible).
• Bachelor’s degree, or equivalent experience, in Math, Science, Engineering, or Business fields.
• Self-directed with the ability to identify and deliver on tasks without needing direct supervision.
• Critical thinker that is comfortable supporting collaborative problem solving in a team environment.
• Excellent communication skills.
• Highly self-motivated, empathetic, curious, and flexible.

Nice to Have:

• Experience working with large enterprises in delivery of security analytics products.
• Experience in acquiring and processing malware-exfiltrated data 
• Experience in using data science to analyze datasets for the purposes of detecting fraud or cyberthreats.
• Experience with databases (relational or NoSQL) and designing efficient database architecture.

For applicants residing in California, please click here to read SpyCloud's CCPA Notice.

 What you need 

We're seeking passionate technologists who thrive on pushing the boundaries, solving complex challenges, and driving transformative solutions. 

At Ambiq, you'll collaborate with a dynamic team that values relentless innovation, customer-centric thinking, and continuous learning. If you're a self-motivated, creative problem-solver eager to push technological limits and make a meaningful impact in energy efficiency, this is your opportunity to grow, excel, and turn groundbreaking ideas into reality. 

Most importantly, the successful candidate will be able to live the Ambiq Shared Values: 

• Innovate: We tenaciously find ways to break down the barriers to possible solutions 
• Collaborate: We proactively communicate and encourage each other to be better. 
• Focus: We keep the voice of the customer at the center of everything we do. 
• Learn: We strive for continuous improvement and are always curious. 
• Achieve: We execute on quality and follow through on our commitments. 

Scope

Ambiq is seeking a Principal Edge AI Runtime & Compiler Engineer to build and optimize the embedded software stack that powers real-time, battery-powered on-device AI. You will develop Ambiq’s AI runtimes, performance-critical operator libraries, and profiling/debug tooling that enable customers to deploy efficient inference on resource-constrained devices.

While the cloud has been the default home for AI, the next frontier is distributing intelligence everywhere—directly onto real-world devices. Edge AI enables real-time responsiveness, stronger privacy, lower bandwidth cost, and reliable operation even without connectivity. This role helps accelerate the shift to on-device intelligence across a rapidly growing ecosystem of health and fitness wearables, smart glasses, industrial IoT, and always-on sensors.

You’ll work closely with platform, silicon, and applied ML teams—and directly with customers—to ensure our software extracts maximum performance and energy efficiency from Ambiq hardware while remaining easy to integrate into production embedded toolchains.

Responsibilities 

• Develop and support Ambiq’s embedded AI runtimes (HeliaRT—our fork/extension of TensorFlow Lite for Microcontrollers—and HeliaAOT) with focus on portability, correctness, performance, and usability.
• Implement and optimize ML operator kernels and embedded libraries for on-chip acceleration (DSP, vector, NPU), including HeliaDSP and HeliaCore components.
• Build and maintain on-device profiling and performance analysis tools, including converting PMU counters into actionable insights.
• Drive improvements in latency, memory footprint, and energy (e.g., joules/inference) through compute/bandwidth and memory-hierarchy analysis.
• Develop benchmark harnesses, microbenchmarks, and regression tests to ensure numerical correctness and prevent performance regressions.
• Enable seamless customer integration across embedded environments and toolchains (bare metal, FreeRTOS, Zephyr).
• Improve memory planning/runtime efficiency and manage upstream/fork health; publish and maintain customer-facing assets (docs, guides, examples, benchmarks).

Qualifications 

• BS in Electrical/Computer Engineering, Computer Science, or related field + 5+ years relevant experience (or equivalent practical experience). MS is a plus, especially in embedded systems, compilers, computer architecture, or ML systems.
• Strong experience designing, developing, and testing embedded software in C/C++.
• Strong debugging discipline with an emphasis on correctness, reproducibility, and performance regression prevention.
• Solid understanding of compute, memory, and bandwidth/cache effects on deterministic latency and energy efficiency in constrained systems.
• Ability to interpret hardware/software documentation (datasheets, reference manuals; schematics a plus).
• Proficiency with Git (or equivalent version control).
• Efficient use of AI-assisted development tools to improve productivity while maintaining engineering rigor.
• Experience with embedded development workflows: Arm toolchains, GDB + J-Link/SEGGER-class probes, and CMake/Make build systems.

Nice to have:

• Python for profiling/analysis tooling, automation, and developer utilities.
• Rust experience.
• Familiarity with TensorFlow Lite for Microcontrollers (or similar embedded inference runtimes).
• Experience optimizing for embedded acceleration targets (e.g., DSP, vector extensions, NPU).
• Familiarity with CMSIS-NN, CMSIS-DSP, and/or Vela (or similar).
• Working knowledge of quantized inference (e.g., int8, per-channel) and embedded debugging implications.
• Packaging/integration (e.g., CMSIS-Pack/CPM.cmake) and/or lab measurement experience (power/debug with basic bench tools).

Must be currently authorized to work in the United States for any employer. We do not sponsor or take over sponsorship of employment visas (now or in the future) for this role.