We’re looking for a Principal Engineer to drive the technical direction and architecture of Platform-as-a-Service (PaaS) at DigitalOcean. Our mission is to make deploying, scaling, and managing applications as simple and seamless as possible for developers around the world—from first deploy to internet scale.

As a Principal Engineer on the PaaS team, you’ll play a key role in designing and building the next generation of cloud-native services such as App Platform, Functions, and CI/CD. You’ll architect systems that power our global infrastructure, partner closely with engineering and product teams across the company, and mentor engineers to level up the entire organization. This is a unique opportunity to shape how developers build and ship software on a platform purpose-built for simplicity and scale.

We’re looking for someone who can span technical strategy and hands-on execution—someone who thrives on solving complex distributed problems and multiplying the impact of everyone around them.

What You’ll Do:

• Architect and guide the implementation of high-scale, reliable, and secure systems that underpin our PaaS offerings.
• Drive technical direction and make foundational decisions on system design, scalability, observability, and developer experience.
• Partner with product managers and engineering leadership to define short- and long-term roadmap priorities.
• Identify platform bottlenecks, inefficiencies, and future risks—and design solutions that proactively address them.
• Collaborate across teams to ensure seamless integration between platform services, infrastructure, and developer tools.
• Mentor engineers at all levels and contribute to a culture of technical excellence, inclusivity, and impact.
• Stay ahead of emerging technologies, patterns, and best practices in the PaaS, serverless, and cloud-native ecosystem.

Key Metrics:

• Platform availability and system performance
• Developer adoption and satisfaction
• Technical debt reduction and architectural clarity
• Engineering velocity and cross-team alignment

What You’ll Add to DigitalOcean:

• 11+ years of experience designing and building distributed systems at scale.
• Expertise in one or more backend languages (e.g., Go, Python, C++, Java) and strong fundamentals in systems architecture and infrastructure.
• Proven experience leading the design of large-scale services used by 1000s (or millions) of customers.
• Passion for mentoring and elevating those around you—technical leadership is about multiplying impact.

Compensation Range:

• $227,040 - $283,800

*This is a remote role

JR: 2025-7225

#LI-Remote

#LI-SK1 

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. 

Principal Frontend Engineer - US

Location: Massachusetts, Maryland, or Greater Austin, TX 
Team: Product & Engineering
Employment Type: Full-Time, Remote

About VulnCheck

VulnCheck is transforming vulnerability intelligence by helping security teams act faster and with more confidence. Our platform delivers early, high-quality exploit intelligence, deep asset correlation, and contextual insights to help organizations stay ahead of emerging threats.

About the Role 

We're looking for a Principal Frontend Engineer to own and evolve the systems that power VulnCheck's user-facing products. This is a hands-on role where you'll drive the direction of the product UI and collaborate closely with your teammates to shape how customers experience VulnCheck's intelligence. Although this is a 100% remote role, candidates must be located in Massachusetts, Maryland, or Greater Austin, TX.

What You'll Do

• Own the product UI end-to-end: design, architecture, development, and continuous improvement
• Drive frontend direction—establishing patterns, component systems, and design standards
• Write clean, maintainable code across the stack (frontend-first, with backend context as needed)
• Partner closely with Product to translate requirements into polished user experiences
• Improve performance, accessibility, and reliability of customer-facing interfaces
• Participate in technical design discussions and contribute to frontend architecture decisions
• Debug and resolve production UI issues with durable, thoughtful solutions
• Mentor other engineers on frontend best practices and contribute to engineering culture
• Support Marketing and other teams across the company as relates to web frontend needs

What You'll Bring

• 5+ years of experience building and shipping production web platforms
• Strong proficiency in modern frontend frameworks (Nuxt/Vue preferred)
• Full-stack competence—comfortable working across the codebase, backend experience a plus
• Experience owning a product UI or web property end-to-end
• Solid understanding of web performance, accessibility, and browser compatibility
• Ability to work closely with Product and translate visual direction into high-quality implementations
• Strong ownership mindset—you notice what's broken and fix it without being asked
• Clear communication and ability to collaborate cross-functionally

Preferred Qualifications

• Experience in B2B SaaS or developer-facing products
• Familiarity with design systems or component library ownership
• Background in cybersecurity or technical data products
• Experience in high-growth or startup environments

What We Offer

We believe people do their best work when they feel supported, trusted, and valued. VulnCheck offers benefits designed to meet a wide range of needs and lifestyles:

Benefits and Perks

• Unlimited PTO
• 401k plan with 100% match on first 3%, then 50% of the next 3-5% of compensation
• Comprehensive healthcare coverage
• Generous paid parental leave
• Remote friendly environment with flexibility
• Expense reimbursement for Cell Phone & Internet 
• Ongoing professional development, coaching, and learning resources
• Opportunities for career advancement within a fast-growing team

Why Join Us

Built on over two decades of cybersecurity experience, our team of experts understands the intricacies of vulnerabilities, their exploitation in the wild, and how to leverage this data to build more effective cybersecurity products that produce better outcomes for organizations.

VulnCheck gives organizations a tactical advantage by providing best-in-class exploit & vulnerability intelligence information. We have a sense of duty to protect the critical infrastructure we rely on including medical devices, power grids and telecommunication networks. We were founded in 2021 in Lexington, Massachusetts.

VulnCheck has a transparent, collaborative, and supportive culture - we are looking for people who have a growth mindset, are curious and innovative. Our team is smart, but humble, hardworking, and supportive.

VulnCheck is proud to be an Equal Employer Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. VulnCheck is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. *Even if your experience doesn’t perfectly align with the job description, we encourage you to apply—we value potential just as much as a perfect resume.

Role Summary

The Principal Information Security Engineer leads cybersecurity operations and defense across all Self products and infrastructure. This role is instrumental in protecting customer data, ensuring compliance with SOC 2 and PCI requirements, and partnering closely with engineering and IT teams to detect, investigate, and respond to security threats. The ideal candidate brings deep expertise in security operations, threat detection, and incident response, along with hands-on experience building and evolving effective security capabilities.

What You Will Do

• Own end-to-end cybersecurity operations, including threat detection, incident response, and vulnerability management across all Self products and infrastructure
• Build, tune, and maintain detection capabilities within a SIEM platform to identify threats, anomalies, and policy violations
• Operate and optimize endpoint detection and response (EDR) solutions, including alert triage, threat hunting, and containment
• Manage cloud security posture, including misconfiguration identification, risk prioritization, and remediation tracking
• Administer and optimize secure access and web security platforms, including data loss prevention policy enforcement, shadow IT visibility, and web threat protection
• Design, manage, and optimize network security controls and cloud-native networking to enforce zero-trust principles and secure perimeter defenses.
• Lead incident response efforts, from detection through containment, eradication, and post-incident review
• Conduct proactive threat hunting across endpoint, network, and cloud environments
• Propose and implement scalable security processes that improve operational efficiency and reduce manual effort
• Partner with engineering and infrastructure teams to remediate critical security findings and reduce attack surface
• Lead and perform third-party vendor security reviews and risk assessments
• Support SOC 2 and PCI compliance efforts, including audit preparation and evidence collection
• Identify security risks across the environment and recommend mitigation strategies
• Monitor emerging cybersecurity threats and translate them into actionable detection and prevention controls

Who You Are

• 12+ years of experience in cybersecurity, security operations, or information security engineering
• Hands-on experience with security monitoring and log analysis platforms for detection engineering
• Proficiency with endpoint detection and response tools for threat detection and investigation
• Experience using cloud security posture management tools for cloud security visibility and risk remediation
• Hands-on experience with CASB/SSE platforms for data loss prevention, shadow IT visibility, and secure web access
• Solid understanding of network security, cloud security, and identity and access management
• Experience with vulnerability management programs and remediation workflows
• Strong understanding of adversary tactics, techniques, and procedures (TTPs) and how they apply to modern environments
• Strong background in incident response, including investigation, containment, and root cause analysis
• Experience supporting or operating within SOC 2 and PCI compliance environments
• Ability to partner effectively with engineering and infrastructure teams to drive security outcomes
• Strong risk assessment, prioritization, and communication skills

Preferred Qualifications

• Experience performing third-party vendor security assessments
• Familiarity with cloud-native architectures and container security
• Prior experience in fintech, regulated industries, or environments handling sensitive customer data
• Experience with threat intelligence platforms and integrating feeds into detection workflows
• Security certifications such as CISSP, CISM, GCIA, GCIH, GCED, or equivalent experience

Base salary range: $ 180,000-210,000 annually.  Individual pay is based on factors unique to each candidate, including skill set, experience, and other job-related reasons.

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

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

The Team 

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

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

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

Responsibilities and Duties 

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

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

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

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

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

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

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

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

Candidate Profile 

Essential 

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

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

• Experience developing diagnostics or monitoring systems for hardware platforms. 

• Experience working with distributed systems or cloud infrastructure. 

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

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

• Strong analytical and debugging skills. 

• Excellent communication and collaboration abilities. 

Desirable 

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

• Familiarity with hyperscale data center infrastructure. 

• Experience building cluster-level monitoring or diagnostics systems. 

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

About us 

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

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

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

Job Summary 

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

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

The Team 

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

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

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

Responsibilities and Duties 

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

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

• Define threat models and security requirements for firmware components. 

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

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

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

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

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

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

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

Candidate Profile 

Essential 

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

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

• Strong programming experience in C and C++. 

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

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

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

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

Desirable 

• Programming experience in Rust. 

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

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

• Knowledge of secure silicon architectures and trusted execution environments. 

• Experience contributing to open-source firmware security projects. 

Benefits:

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

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. 

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

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

RESPONSIBILITIES

• Responsible for the maintaining all the network fabrics and network topologies operating at peak performance on Graphcore Data centers housing AI server platforms.
• Collaborate closely with our Network architecture team through all phases of the design and development lifecycle — from concept to deployment — ensuring timely, high-quality, and stable high-speed network fabrics.
• Primary support of deployed internal fabrics in our AI Datacenters.
• Direct escalation for Hardware, Link and, Performance issues on network fabrics.
• Escalation support for customer network fabrics (aligned to reference arch.)
• Triage day-to-day network topologies (scale-up, scale-out, and front-end networks) issues of Fabrics deployed in Graphcore Datacenters.

REQUIREMENTS

• Bachelor’s, master’s degree or equivalent experience in Network Engineering/Security, Information Technology, Computer Science, Computer engineering, or a related field.
• 9+ years of hands-on experience in network engineering and 3+ years supporting networking on AI or Hyperscale Datacenters.
• Knowledge of Remote Direct Memory Access (RDMA) and its implementations, specifically ROCEv2 or InfiniBand
• Knowledge of Lossless network – Experience with congestion control and lossless Ethernet technologies including PDF, ECN and DCQCN.
• Versed in High-Bandwidth network infrastructure including experience with operating 400G and 800G network fabrics and tackling challenges at the physical layer for networks operating at these speeds. This includes familiarity with specific optical transceivers.
• Experience sustaining non-blocking, multi-tier CLOS networks (i.e., Spine / Leaf / Super-Spine) that are optimized for high-density GPU clusters.
• Extensive troubleshooting experience for data center routing protocols such as BGP and OSPF as well as troubleshooting of VXLAN implementations.
• Cross-Functional collaboration- The candidate must excel at working closely with network architects, systems hardware engineers, AI software engineers, and Datacenter infrastructure teams to optimize the full stack from the application layer down to the Network infrastructure that includes controllers (NICs, SmartNICs, DPUs), network switches, and cabling and optical transceiver operation in our Datacenter.

DIFFERENTIATORS

• Deep hands-on experience with NetDevOps to automate tasks using tools such as Terraform or Ansible to manage network configurations and state.
• Possess strong scripting skills such as Python, Go, or JSON to build custom automation, interact with APIs, and develop internal network tools.
• Deep hands-on experience with modern, high-performance hardware from network switch and NIC providers such as Broadcom, Arista, Cisco, or Pensando.
• Knowledgeable in Advanced Network Telemetry, beyond traditional SNMP. Knowledgeable in telemetry protocols such as gNMI, Sflow, Netflow, Redfish, and Prometheus to characterize and detect transient congestion events, micro-bursts in the network fabric or defective network hardware.

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

pproach to interview and encourage you to chat to us if you require any reasonable adjustments. 

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

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

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

The Team

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

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

Responsibilities and Duties

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

Candidate Profile

Essential

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

Desirable

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

About us

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

As part of the SoftBank Group, Graphcore is a member of 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. 

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.

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 Role

As a Staff Wire Harness Engineer, you are the principal technical authority for the "nervous system" of our humanoid platform. You don't just design harnesses; you define the interconnect architecture that enables Apollo to move, sense, and think. This role requires a rare blend of deep electrical knowledge , mechanical integration, and strategic leadership. You will own the technical roadmap for power and data distribution, ensuring our systems are not only robust but also optimized for mass production and field serviceability.

Responsibilities

• Interconnect Architecture: Define the top-level electrical distribution strategy for the entire robot, including grounding schemes, shielding architecture, and power/data separation protocols.
• Joint-Crossing Lifecycle Leadership: Own the technical strategy for harness routing across high-DOF joints. Develop and validate mathematical models for cable life expectancy (millions of cycles) and select materials that survive extreme dynamic environments.
• Standardization & Tooling: Establish company-wide standards for E-CAD workflows, library management, and drawing requirements. Lead the selection and implementation of enterprise-level harness design software (e.g., Zuken E3, Capital).
• Cross-Functional System Design: Act as the primary technical bridge between EE, MechE, and Manufacturing. Lead high-level trade-off analyses regarding connector density vs. serviceability and mass vs. thermal performance.
• DfX: Drive Design for Excellence (DfX) initiatives to reduce harness complexity, part count, and assembly time. Evaluate and qualify advanced techniques like overmolding, ultrasonic welding, and custom busbars.
• Root Cause & Reliability: Lead failure analysis for the most complex system-level electrical issues. Use advanced diagnostic tools and DFMEAs to identify and mitigate "hidden" failure modes in signal integrity or power transients.
• Vendor & Supply Chain Strategy: Partner with Sourcing to vet and manage strategic harness manufacturing partners, ensuring our technical requirements are met during the transition from prototype to high-volume production.
• Mentorship: Provide technical leadership and mentorship to junior and senior engineers, conducting deep-dive design reviews and fostering a culture of technical excellence.

Qualifications

• Experience: Bachelor’s or Master’s degree in EE, ME, or Robotics with 8+ years of experience in complex electromechanical systems. 
• Subject Matter Expertise: Expert-level knowledge of High-Speed Data and High-Power  distribution within a single, space-constrained harness.
• Dynamic Routing: Proven track record of designing harnesses for high-cycle dynamic applications (robotics, aerospace gimbals, or automotive doors/hatches).
• E-CAD Mastery: Advanced proficiency in Zuken E3.series, Siemens Capital, or SolidWorks Electrical, including database management and automated report generation.
• Physics-Based Design: Deep understanding of EMI/EMC mitigation, shielding effectiveness, and thermal derating of conductors in bundled configurations.
• Communication: Ability to distill complex technical trade-offs into actionable recommendations for executive leadership.
• Industry Standards: Deep familiarity with IPC-WHMA-620 and related aerospace/automotive quality standards.
  
  

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

Scope and mission: 

• Drive the design and operation of Gradient AI platform, focusing on delivering a simple and innovative agent development experience with best of breed scale, performance, and predictability. 
• Drive architectural vision, technical excellence, and innovation across both backend systems and customer-facing interactions.

Key Responsibilities:

• Architect and Build
• Design and evolve the architecture for our agent development experience including code integration, evaluations, observability, tools, and cross-agent interactions. 
• Drive initiatives to deliver an architecture optimized for scalability, reliability, low-latency, and cost efficiency.
• Manage and evolve our benchmarking system to continuously raise the bar on our experience.
• Roll out new services by taking on a hands-on lead role as required to ensure timely delivery. 
• Technical Leadership
• Establish and enforce technical standards, coding practices, tooling, and infrastructure guidelines across the AI/ML engineering teams.
• Establish best practices for design, testing, deployments, instrumentation, and performance tuning.  
• Mentor other senior engineers, shaping the team’s culture of architectural rigor and operational excellence.
• Cross-functional Collaboration
• Work with product managers, stakeholders, and business leaders to translate strategic objectives into scalable technical roadmaps.
• Guide customer-facing teams (e.g., consultants, support, sales engineers) to shape AI modernization initiatives via agents. 
• Reliability, Performance & Scaling
• Lead Operations Excellence for our Agent development platform, establish mechanisms and processes that scale to the engineering organization while raising the bar. 
• Oversee availability, performance tuning, failover strategies, capacity planning, and disaster recovery.
• Drive AI-driven automation (e.g., IaC, CI/CD pipelines, deployments, monitoring) to optimize operations
• Innovation & Future Roadmapping
• Drive development of internal tooling leveraging agents across the company, contributing towards increased efficiency and quality across all aspects of engineering.  
• Serve as subject matter expert on new agent development paradigms and lead implementation of mechanisms to productize them.

Qualifications:

• Domain Expertise: Hands-on experience designing and operating production-grade AI/ML platforms using the latest GenAI and Agent-development technologies.
• Technical Experience: 10+ years in designing and building applications on the cloud with 5+ years experience in AI/ML platforms
• Leadership & Collaboration: Prior experience as a technical visionary in large-scale, mission-critical projects; ability to align technology strategy with business impact.
• Operational excellence: Expertise in driving operational excellence via automation and best practices.
• Communication & Mentoring: Strong written and verbal communication skills with a track record of mentoring senior and junior engineers; translating complex concepts across engineering and business teams.

Compensation Range:

• $227,040 - $283,800

*This is a remote role

#LI-Remote

#LI-SK1 

As a Principal Engineer you'll spearhead the design, development, and operation of scalable, high‑availability, and high-performance database platforms across relational and non-relational managed services (Managed MySQL, Postgres, MongoDB, etc.) and scale-out variants that scale to petabytes of data. Drive architectural vision, technical excellence, and innovation across both backend systems and customer-facing interactions.

Key Responsibilities:

• Architect and Build
• Design and evolve the architecture of large-scale distributed database systems optimized for scalability, reliability, low-latency, and cost efficiency.
• Architect solutions for storage engines, indexing, querying, caching, replication, and high availability, drawing from best practices in both relational and NoSQL paradigms.
• Roll out new services by taking on a hands-on lead role as required to ensure timely delivery 
• Technical Leadership
• Establish and enforce technical standards, coding practices, tooling, and infrastructure guidelines across the database engineering teams.
• Mentor other senior engineers, shaping the team’s culture of architectural rigor and operational excellence.
• Cross-functional Collaboration
• Work with product managers, stakeholders, and business leaders to translate strategic objectives into scalable technical roadmaps.
• Guide customer-facing teams (e.g., consultants, support, sales engineers) to define database solutions and migration strategies aligned with organizational goals
• Reliability, Performance & Scaling
• Lead Operations Excellence for database services, establish mechanisms and processes that scale to the engineering organization while raising the bar 
• Oversee availability, performance tuning, failover strategies, capacity planning, and disaster recovery for database platforms.
• Drive automation (e.g., IaC, CI/CD pipelines, deployments, monitoring) to optimize operations
• Innovation & Future Roadmapping
• Research and integrate advanced capabilities (e.g., AI‑assisted tooling, MCP protocols) to enhance developer workflows and metadata accessibility across database types.

Qualifications:

• Technical Experience: ≥ 12–15 years in distributed systems architecture, database internals (storage, indexing, query optimizers), and cloud infrastructure.
• Domain Expertise: Hands-on experience designing and operating production-grade systems on one or more database services in the Cloud.
• Leadership & Collaboration: Prior experience as a technical visionary in large-scale, mission-critical projects; ability to align technology strategy with business impact.
• Automation Proficiency: Familiarity with infrastructure as code, deployment pipelines, and observability frameworks.
• Communication & Mentoring: Strong written and verbal communication skills with a track record of mentoring senior and junior engineers; translating complex concepts across engineering and business teams.

Compensation Range:

• $198,000 - $297,000

*This is a remote role

#LI-Remote

#LI-SK1

JOB SUMMARY

Apptronik is seeking a world-class Principal Compute & Sensing Engineer to serve as the lead architect for the "nervous system" of the Apollo humanoid robot. This is a top-tier technical role for an expert who can design and implement the high-performance compute and sensory backbone required for general-purpose robotics. You will be responsible for the end-to-end hardware architecture—from NVIDIA Jetson-based carrier designs to the electrical integration of complex perception suites—ensuring that Apollo is powerful, redundant, and functionally safe.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES

• Primary Architect: Own the end-to-end design of Apollo’s safe compute architecture. Select core processing elements (SoCs, FPGAs, MCUs) and design system-level redundancy to meet real-time performance requirements.
• High-Performance PCB Design: Lead the design and validation of custom carrier boards for high-performance modules (e.g., NVIDIA Jetson). Expertly manage power delivery networks (PDN), thermal dissipation strategies, and high-speed signal integrity for complex interfaces.
• Manufacturing & Reliability: Drive Design for Manufacturability (DFM) and Design for Reliability (DFR) for compute modules, ensuring they can withstand the high-vibration and dynamic thermal environments of a mobile humanoid robot.
• Multi-Modal Sensing: Define the electrical architecture for a full perception stack, including LiDAR, depth cameras, IMUs, and tactile sensors.
• Data Pipeline Optimization: Architect the high-bandwidth pipelines and synchronization protocols required for sensor fusion. Manage complex communication interfaces (GigE, GMSL2, USB 3.0, MIPI) to ensure low-latency data delivery to the perception software.
• Safety Architecture: Drive the physical and logical architecture decisions required to meet Functional Safety standards Fail-Safe Systems: Design hardware-level redundancy, fail-safe mechanisms, and Built-In Tests (BIT) to achieve required safety integrity levels (ASIL/SIL) for operation in human-occupied environments.
• Diagnostics: Implement robust hardware diagnostics to monitor the health of the compute and sensing backbone in real-time.
• Multi-Generational Roadmap: Define the long-term technical roadmap for Apollo’s compute and sensing evolution, identifying emerging technologies (e.g., new SoCs or sensor modalities) that will keep Apptronik at the cutting edge.
• Cross-Functional Influence: Act as the ultimate technical authority on compute/sensing during design reviews with the Controls, Perception, and Systems Engineering teams.
• Mentorship: Provide deep technical mentorship to electrical and embedded engineers, fostering a culture of rigorous engineering and innovation without the burden of administrative management.

SKILLS AND REQUIREMENTS

• Expertise: * Proven track record of designing custom carrier boards for NVIDIA Jetson or similar high-end compute modules.
  • Mastery of high-speed digital design (PCIe, DDR4/5, GMSL, 10GbE).
  • Experience integrating multi-sensor suites with precise hardware-level time synchronization.
  • Hands-on experience with Functional Safety architecture (ISO 26262 or equivalent).
• Tools: Proficiency with Altium Designer (or similar) and hardware simulation tools (SPICE, Ansys, or HyperLynx).

EDUCATION and/or EXPERIENCE

• Education: M.S. or Ph.D. in Electrical Engineering, Computer Engineering, or a related field.
• Experience: 12+ years of experience in high-performance hardware design, with a focus on robotics, autonomous vehicles, or aerospace.

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 

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 

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

Why This Role Exists 

We’re rapidly integrating AI into our operations to help us fulfill our mission to help every K12 child thrive. We’re adding an operational owner to further accelerate our progress: someone who embeds with teams, figures out where AI can have a meaningful impact, and builds things that stick. You’ll be working with active internal programs, a growing set of working tools, and leadership that’s genuinely committed. 

This isn’t a research or strategy role. You’ll be expected to ship things, measure whether they worked, and iterate. 

What You’ll Own 

Hands-On Enablement (50%) 

• Embed directly with teams across go-to-market, Engineering, Product, Operations, Finance, and Customer Experience to identify high-value AI use cases and unblock adoption 

• Design, prototype, and ship internal AI workflows and tools (prompt libraries, automation scripts, internal apps) that solve real problems – both directly and by enabling teams to become self sufficient 

• Evaluate and recommend AI tooling—LLMs, copilots, automation platforms—with a bias toward practical deployment over proof-of-concept theater 

• Build reusable playbooks, templates, and reference implementations that teams can adopt independently 

• Establish measurement frameworks to track adoption, productivity impact, and ROI 

AI Initiative Ownership (20%) 

• Own select AI-driven initiatives end-to-end, from scoping through delivery.

• Drive vendor evaluation, stakeholder alignment, implementation planning, and rollout for assigned initiatives 

• Coordinate across Product, Engineering, Customer Experience, and external vendors to hit milestones and manage dependencies 

• Define success metrics and own post-launch adoption and iteration 

Evangelism & Change Management (20%) 

• Drive awareness, excitement, and fluency around AI across the organization 

• Run workshops, office hours, and enablement sessions tailored to different audiences (engineers, PMs, operations staff, leadership) 

• Co-own and evolve existing programs: The Vanguard (AI champions network), The Forge (internal hackathon series), and LINQ Labs (internal tools environment) 

• Translate technical AI capabilities into business-relevant language for non-technical stakeholders 

• Surface and amplify success stories to build organizational momentum 

Strategy & Governance (10%) 

• Partner with the CTO to refine and execute LINQ’s AI strategy 

• Maintain an AI adoption roadmap with clear priorities, dependencies, and milestones 

• Collaborate with Security (CISO) and Compliance to ensure AI tooling meets FERPA, COPPA, PCI, and CCPA requirements 

• Track the AI vendor landscape and make informed build-vs-buy-vs-integrate recommendations 

• Contribute to board and investor narratives around LINQ’s AI maturity

  What You Bring 

  Required 

  • 8+ years in technical program management, developer experience, platform engineering, or a similarly cross-functional technical role
  • Demonstrated ability to drive adoption of new tools and practices across an engineering organization—not just advocacy, but measurable results 
  • Strong technical fluency: you can review prompts, evaluate AI tools, design workflows, and build prototypes (scripting, light app development, API integrations) 
  • Experience working with LLMs, AI copilots, or automation tooling in a professional context—not just personal experimentation 
  • Exceptional written and verbal communication; you can explain complex technical concepts to a CFO and debug a prompt chain with an engineer in the same afternoon 
  • Comfort operating in ambiguity with minimal direction; you define the path, not just walk it 
  • Experience in a PE-backed, multi-product SaaS environment (or similar complexity) 

  Preferred 

  • Experience in K–12 education technology or another regulated vertical (healthcare, fintech) 
  • Familiarity with compliance frameworks relevant to AI deployment (FERPA, COPPA, SOC 2) 
  • Background in developer experience, internal tools, or platform teams 
  • Experience with JavaScript/TypeScript, React, Node.js, AWS 
  • Track record of building and scaling internal programs or communities of practice 

    About LINQ 

    LINQ is a K–12 cloud software company trusted by 30% of U.S. school districts, powering 1B school meals annually, 364K payrolls, and 3.5M families through LINQ Connect. We simplify the operational complexity of running a school district so educators can focus on what matters: students. 

    We’re PE-backed, ~$100M ARR, and in the middle of a meaningful transformation—modernizing our platform, unifying our product portfolio, and embedding AI across everything we do. This is not an innovation lab. This is a real business with real customers, and AI is how we earn the right to scale. 

    LINQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. 

Overview

What you will do:

What you will bring:

Salary Range: USD $120,800.00 - USD $144,960.00 /Yr.

Find out more about what Woolpert has to offer here:  http://woolpert.com/about-us/

Woolpert is an equal-opportunity employer. Woolpert is committed to the full inclusion of all individuals. We recruit, train, compensate, and promote regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law.  You may view more about EEO on our website: Equal-Employment-Opportunity-The-Law.pdf and EEO is the Law Poster Supplement.

Applicants who require an accommodation throughout the application and interview process should request this in advance by contacting askhr@woolpert.com 

To all agencies: Please, no phone calls or emails to any employee of Woolpert or any of our subsidiaries about this requisition. All resumes submitted by search firms/employment agencies to any employee at Woolpert via email, the internet, or in any form and/or method will be deemed the sole property of Woolpert, unless such search firms/employment agencies were engaged by Woolpert's Talent Acquisition Team for this requisition and a valid agreement is in place. In the event a candidate who was submitted outside of Woolpert's applicant process is hired, no fee or payment of any kind will be paid.

Position Overview

Woolpert is hiring a Senior Engineer Project Manager to join our dynamic Aviation Team. This position reports to our Aviation leadership team and is responsible for leading and managing the design, planning, and delivery of aviation and airfield improvement projects. This role oversees technical document preparation, directs multidisciplinary teams, coordinates with stakeholders such as TxDOT and airport sponsors, and ensures projects are delivered within scope, schedule, and budget. The ideal candidate brings strong civil engineering expertise, robust project management experience, and familiarity with FAA regulations and advisory circulars.

We are unable to provide visa sponsorship for this position.  Applicants must already possess work authorization in the country the job is located.

Qualified candidates may be eligible for a signing bonus of up to $8,000 based on experience and role alignment. Bonus eligibility is contingent upon 12 months of service and must be repaid if the employee leaves the company within one year of hire.

What You Will Do:

Project Leadership & Management

• Provide strategic and technical leadership for aviation and airfield engineering projects from conception through completion. Lead the development of construction plans, technical specifications, contract documents, and specialized engineering reports in alignment with FAA, TxDOT, and sponsor requirements. Establish clearly defined project scopes, prepare detailed fee proposals, and proactively manage project budgets, schedules, and resources to ensure successful and timely delivery.
• Monitor project performance using earned value metrics, milestone tracking, and forecasting tools, identifying risks early and implementing effective mitigation strategies. Ensure consistency and quality across deliverables through structured QA/QC processes and adherence to applicable engineering standards, FAA Advisory Circulars, and best practices in airfield planning, pavement design, grading, geometry, and safety areas.
• Facilitate kickoff meetings, progress reviews, design workshops, and internal coordination sessions to maintain alignment across stakeholders and team members. Prepare and deliver accurate monthly invoicing, financial updates, and comprehensive Project Status Reports (PSRs) that outline progress, issues, and recommended actions. Provide mentorship, guidance, and technical oversight to project engineers and designers, supporting professional development and strengthening the aviation group’s overall technical capabilities.

Stakeholder Coordination & Communication

• Serve as the primary point of contact for airport sponsors, TxDOT, and key stakeholders throughout the project lifecycle. Coordinate meetings, prepare agendas and schedules, document decisions, and ensure clear and timely communication to maintain project alignment. Build and maintain positive client relationships through proactive engagement, responsiveness, and consistent follow-through.

Documentation & Compliance

• Review sponsor-provided documents, including as-built drawings and prior design reports. Coordinate with subconsultants for surveying, geotechnical investigations, environmental studies, and specialized technical services. Ensure project documentation complies with federal, state, and local requirements, including FAA grant processes, environmental regulations, and permitting rules.

Bidding & Construction Support

• Manage the bidding process by organizing pre-bid meetings, issuing addenda, responding to contractor inquiries, and evaluating proposals. Provide construction-phase support through site visits, review of change orders, coordination with contractors, and monitoring of field activities to uphold quality standards and design intent.

Project Close-Out

• Review and approve final engineering drawings, compile project cost summaries, and participate in final inspections with TxDOT and project sponsors. Ensure all close-out documentation is delivered accurately and in accordance with sponsor and regulatory requirements.

Client & Team Management

• Lead cross-functional internal and external teams through project execution. Strengthen client relationships by identifying opportunities during proposals, RFP/RFQ processes, and ongoing engagements. Partner with management to evaluate client satisfaction, manage project risks, and support the overall financial health of the aviation practice. Provide direction, mentorship, and performance support to junior staff.

What You Will Bring:

• Bachelor’s degree in Civil Engineering
• Professional Engineer (PE) license required
• 10+ years of project management experience in aviation and airfield design
• Familiarity with FAA Advisory Circulars and federal aviation regulations preferred
• Proficiency in AutoDesk Civil 3D, AutoCAD, and related engineering software
• Strong working knowledge of Microsoft Office
• Excellent written and verbal communication skills
• Strong analytical and technical reading skills
• Ability to respond professionally to sensitive client inquiries
• Ability to sit for extended periods; occasional reaching, bending, and lifting up to 40 pounds
• Occasional travel required for site visits and client meetings

Benefits You Will Love

Certified as a Great Place to Work, Woolpert is one of the fastest-growing architecture, engineering, and geospatial companies in the world. With over 75 offices and countless projects around the globe, you’ll work on meaningful assignments that improve quality of life around the world. In addition to offering competitive pay, we provide employees with a robust set of unique benefits, including:

• Freedom to Work program: Set your own schedule and location (as appropriate).
• Principal program: Earn the opportunity to become an owner of the firm.
• Flexible paid time off/vacation: Take time off when it makes sense for you and your team.
• Career development: Explore a wide range of learning and growth opportunities within and across industries.
• Health, life, vision, and dental insurance: Cover all your medical bases.
• Paid sick time, retirement plan, fitness reimbursement, pet insurance, identity protection, technology stipend, employee assistance program, and more!

#LI-Hybrid

About the Team

Avride develops autonomous vehicle and delivery robot technology, leveraging deep expertise in autonomous systems. With the recent launch of our robotaxi service in Dallas, we are accelerating innovation and redefining the future of mobility. Our team builds self-driving solutions from the ground up, with machine learning at the core of our development pipeline to enable safe and intelligent navigation. We design and deploy state-of-the-art models to address key challenges in autonomous systems, utilizing advanced deep learning architectures such as Convolutional Neural Networks (CNNs), Transformers, and Multimodal Large Language Models (MLLMs). These models power both onboard and offboard applications, ensuring robust and efficient operation. Your work will directly contribute to enhancing the performance, safety, and reliability of Avride's autonomous vehicles and delivery robots.

About the Role

We are hiring experienced Machine Learning Engineers across Senior, Staff, and Principal levels. to site onsite in Austin, Texas. Whether you're a strong individual contributor ready to take on complex technical challenges, or a seasoned technical leader looking to take on complex technical challenges we want to hear from you.

In this role, you will drive the development and deployment of machine learning solutions for some of the hardest problems in autonomy conducting experiments, managing large-scale datasets, and implementing deep learning models tailored for real-world autonomous systems. At more senior levels, you will also define technical strategy, mentor engineers, and influence how ML is practiced across the organization.

What You'll Do

• Develop and Optimize Machine Learning Models: Design, implement, and refine deep learning models to ensure efficiency, scalability, and robustness — including models for environmental perception and predicting the behavior of other road users. At Staff and Principal levels, you will set the technical vision for entire model families and drive architectural decisions across teams.
• Curate and Manage Large-Scale Datasets: Oversee data collection, preprocessing, and augmentation to maintain high-quality datasets for training and evaluation. Senior+ engineers will establish standards and tooling that scale across the organization.
• Enhance and Maintain Training Pipelines: Develop efficient workflows for training, validation, and testing, incorporating distributed training, hyperparameter tuning, and automated monitoring. Staff and Principal engineers will own the long-term roadmap for training infrastructure.
• Improve Model Deployment and Efficiency: Optimize inference performance, model compression, and deployment across various hardware platforms.
• Explore and Apply Cutting-Edge ML Techniques: Stay current with advancements in deep learning and lead the evaluation and adoption of novel approaches. Principal engineers are expected to identify opportunities before they become industry standard.
• Collaborate and Lead Across Teams: Work closely with researchers, software engineers, and robotics experts to integrate ML into real-world autonomous systems. At Staff and Principal levels, you will drive alignment across functions, mentor junior and senior engineers, and serve as a technical authority across the org.

What You'll Need

• Strong understanding of fundamental machine learning algorithms and neural network techniques.
• Deep expertise in at least one modern ML domain, such as computer vision, large language models, or generative AI.
• Senior: 4+ years of experience developing neural network-based algorithms, including data collection, training, and deployment.
• Staff: 7+ years of experience, with a track record of leading significant technical initiatives and influencing engineering practices beyond your immediate team.
• Principal: 10+ years of experience, with demonstrated impact at an organizational or industry level — setting multi-year technical direction and driving outcomes across multiple teams.
• Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, along with PySpark, NumPy, and SciPy.
• Working knowledge of C++ and SQL.
• Ability to quickly absorb new concepts from research papers, technical reports, and documentation.
• Strong collaboration and communication skills, with the ability to align technical work with business objectives at all levels of the organization.

What You Must Have

• Advanced degree in Computer Science, Machine Learning, Robotics, or a related field.
• Experience developing ML algorithms for autonomous vehicles or robotics applications.
• Familiarity with neural network deployment and optimization tools such as Triton, TensorRT, or similar frameworks.
• Publications in top-tier ML conferences, contributions to patent applications, or ML-related open-source projects.
• For Staff/Principal: experience building and scaling ML teams, defining org-wide technical standards, or driving cross-company research agendas

About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint. 

Headquartered in New York City, our culture has been recognized by Inc Magazine as a "Best Workplace,” by Crain’s NY as a "Best Places to Work in NYC," and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of the World’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Role:

SecurityScorecard is building AI capabilities that change how security professionals understand and act on risk. We are looking for a Staff AI Engineer to lead that work. This is the role for the engineer who needs no scaffolding. You identify the problem, design the system, build it, ship it, and improve it — and you bring others along. You use AI-native tools not as a novelty but as a genuine force multiplier, moving at a pace that used to require a full team. You have strong product instincts and are comfortable operating with the ownership and ambiguity of a founding-team environment within an established company.

What You'll Do

• Lead the design and delivery of major AI-powered product initiatives from concept through production, owning the full software development lifecycle
• Define the technical architecture for AI systems at SecurityScorecard: LLM pipelines, agentic workflows, retrieval infrastructure, and evaluation frameworks
• Set the standard for how the engineering organization builds with AI, including development practices, tooling choices, and quality bars
• Use Cursor, Claude Code, and AI-native development tools as core instruments, and model what high-velocity, high-quality AI-augmented engineering looks like for the team
• Collaborate directly with product leadership and the CTO organization to shape the AI product roadmap
• Drive architecture reviews, establish cross-team engineering standards, and elevate the technical level of the teams you work with
• Identify and eliminate bottlenecks in how AI features get built, tested, and shipped across the organization
• Operate with Staff-level ownership: you see the whole problem, not just your part of it

Required Skills and Experience

• 7+ years of software engineering experience with a track record of leading complex, high-impact technical projects end-to-end
• Demonstrated ability to operate independently across the full product development lifecycle, from problem definition through production operations
• 3+ years building and shipping AI-powered product features in production, including LLM integration, agentic systems, or intelligent automation
• Strong product instincts: you think about user problems and business outcomes, not just technical implementation
• Proficiency in TypeScript and strong backend engineering fundamentals with experience in distributed systems at scale
• Fluency with AI-native development workflows (Cursor, Claude Code, or equivalent) as a primary engineering practice, not an experiment
• Cloud infrastructure experience (AWS preferred) and comfort with the full production stack
• Exceptional communication: able to drive alignment across product, engineering, and executive stakeholders

Our Tech Stack

TypeScript / JavaScript, Go, AWS, Docker, Kubernetes, Terraform, ClickHouse, PostgreSQL

Nice to Have

• Prior experience in a Staff or Principal engineering role with cross-team technical influence
• Background in cybersecurity, threat intelligence, or enterprise risk products
• Experience building and operating agentic AI systems, multi-agent orchestration, or LLM evaluation infrastructure
• Track record of defining engineering standards or leading technical strategy at the organizational level
• Experience in high-growth, Series C/D+ companies where engineering velocity and quality both matter

Benefits:

Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

The estimated total compensation range for this position is $170,000 - $215,000 (base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits. 

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law. 

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law. 

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position.   #LI-DNI

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

Why this role is exciting

Please note this role is based in our Las Vegas office, if you aren't already located here we will financially support relocation. As a Principal Full-Stack Engineer, Ops Tools This is a rare opportunity to build mission-critical software that directly powers real-world operations. You’ll help scale Vay’s Las Vegas service by designing and shipping end-to-end operational tools used every day by people on the ground and behind the wheel, remotely.

This role is built for engineers who want high ownership, real users, and real consequences. You’ll sit at the intersection of mobility, real-time systems, and remote driving, helping shape one of the world’s first commercial remote operations platforms.

If you’re excited by ambiguity, value impact over abstraction, and want your software to move actual cars, not just pixels, this role is for you.

What you’ll be driving

• Own the solution space across our operational tooling, translating complex operational workflows into reliable, user-facing software across multiple verticals, including:
  • Customer Support
  • Remote Driving Operations
  • Fleet Management
• Work closely with Operations, Customer Support, Engineering, and Product to design and develop end-to-end integrated solutions, combining off-the-shelf tools, low-code platforms, and custom-built software where it makes sense.
• Build and maintain real-time, interactive operational dashboards, including charts, maps, and data-dense interfaces, over operational databases and the data warehouse
• Build fleet intelligence capabilities over real time telemetry to identify and self heal (where possible) anomalies in an EV fleet of teledrivable vehicles
• Level up the organization, by influencing cross team architecture across our operations platform, dispatch, and routing and navigation backends, as well as mentoring and coaching engineers
• Partner with Directors to define and execute on an engineering roadmap to level up the organization’s focus on engineering quality and delivery velocity, on topics ranging from setting up effecting engineering systems for testing to driving high performance engineering culture
• Own what you build, from first commit through production and iteration.

What we’re looking for

• Strong full-stack depth.

• Confident in modern frontend development using React and TypeScript.

• Hands-on experience building backend services and APIs.

• Solid understanding of:

  • RESTful API design

  • Authentication and authorization

  • Secure API integrations

• Strong fundamentals in relational databases, including data modeling, transactions, indexing, and querying.

• Proven experience working with design systems to build consistent, scalable interfaces.

• Ability to translate complex, high-stakes workflows into clear, efficient, and error-resistant user experiences.

• Comfortable working closely with non-engineering stakeholders (Ops, CS, Product).

• Thrives in environments with ambiguity and evolving requirements.

• Drives clarity through iteration, feedback, and pragmatic decision-making.

Nice to have

• Experience building data-intensive or real-time user interfaces (streaming updates, large tables, map-based views).

• Experience integrating third-party tools or platforms.

• Background in operational, logistics, or mobility-related systems.

Why you should join Vay

💪 A global team of smart, motivated people from 30+ countries who love tackling hard problems and turning bold ideas into reality.

🌍 Huge scope for impact in a fast paced environment

💰 ESOP stock options: A stake in Vay’s future – not just a salary.

🌴 Unlimited Paid Vacation Days

🎫 401(k) programme

🏥 Health, Dental & Vision Insurance 

🚗 All Vay team members receive 30% off their Vay rides

🏋️‍♂️ Wellness Hub free gym access & wellness app subscriptions

🛍️ Exclusive external discounts

💼 $350 Home office budget 

✈️ Relocation financial assistance when relocating to Las Vegas 

🎊 Regular team events throughout the year

Position Overview:

Come join the team at Zynga making an impact across all of the company’s games - Central Technology! We focus on shared client & server tech that drives the core gameplay experience under the hood. We’re looking for outstanding engineers with a passion for technology and the desire to work in a team with dynamic strengths. The Principal Software Engineer will be working with a complementary team of software engineers to craft and maintain Zynga’s core Payments platform, which enables flawless integration with app stores, consoles, and payments processing providers. They will play a key role in helping architect, build and improve the next-gen framework for our games.

What You'll Do:

• Design and architect new backend applications/services running in AWS
• Optimize and refactor existing services to improve reliability, scalability and to lower cost
• Document and build plans for architecture and system designs
• Take a hands-on approach in architecting, writing and reviewing code
• Review detailed tech plans from others, aligning with the team and Zynga-wide technical vision
• Proactively identify and recommend improvements to address systemic problems and tech debt
• Follow engineering standard methodologies to ensure code quality, performance and reliability
• Work collaboratively across teams to understand product/customer requirements and propose technical solutions
• Provide production and integration support for shared technology across Zynga games

What You Bring:

• Degree in a technical field (e.g., Computer Science, Computer Engineering) or equivalent experience
• 6+ years of hands-on software development experience
• Experience in programming RESTful services using Java
• Solid understanding of backend server applications and web services
• Strong familiarity and experience using AWS and/or other cloud computing platforms (IaaS, PaaS, SaaS)
• Strong familiarity and experience with database systems (SQL, NoSQL)
• Experience with C#/C++ and mobile client development is a strong plus
• Familiarity with containers and Kubernetes
• Familiarity with web development using JavaScript, Angular, and/or React
• Deep understanding of algorithms, design patterns, debugging and performance optimization
• Experience in object-oriented design of applications/systems
• Experience with agile development methodologies and tools
• Excellent interpersonal skills - particularly the ability to discuss timelines, design concerns, work with distributed teams, and provide effective feedback to team members
• Experience working with AI tools

What We Offer You:

Zynga offers a world-class benefits package that helps support and balance the needs of our teams. To find out more about our benefits, visit the Zynga Benefits site

The pay range for this position in Toronto at the start of employment is expected to be between $114,300 and $164,300 per Year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program. Regular, full-time employees are also eligible for a range of benefits at the Company, including: medical, dental, vision, and basic life insurance coverage; 14 paid holidays per calendar year; paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company’s discretionary time off program; up to 10 paid sick days per calendar year; paid parental and compassionate leave; wellbeing programs for mental health and other wellness support; family planning support through Maven; commuter benefits; and reimbursements for fitness-related expenses. The use of Artificial Intelligence is not being used to screen candidates. The position is for an existing vacancy.

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

Available Locations: Austin, Atlanta, Denver, Seattle, Washington D.C

About the role

We're seeking an exceptional Principal Engineer to join our newly formed Product Platform Task Force—a high-impact team that tackles critical infrastructure initiatives spanning our entire product suite and Cloudflare's massive edge network. 

What you'll do

You'll partner with engineering leadership to identify, architect, and drive execution on complex technical projects that transcend individual team boundaries, from organization-wide authentication and authorization systems to ultra-distributed architectures that leverage Cloudflare's global edge infrastructure, performance optimizations, and shared services that enable multiple products. This role is perfect for a seasoned technical leader who excels at solving ambiguous, high-stakes problems with broad organizational impact, mentoring senior engineers, and establishing technical direction that influences the entire engineering organization. You'll have significant autonomy to shape our technical strategy while working collaboratively across product teams, platform engineers, and executive leadership to ensure our infrastructure scales efficiently and our engineering culture thrives.

Responsibilities

• Define technical strategy and lead execution of high-impact, cross-cutting initiatives that benefit the entire engineering organization, such as service-to-service authentication systems, RBAC/authorization frameworks, ultra-distributed architectures leveraging Cloudflare's edge network, API layer improvements, observability infrastructure, and shared services that span our product portfolio.
• Architect and implement security-critical systems including authentication, authorization, and access control mechanisms that work seamlessly across our distributed infrastructure, ensuring both robust security postures and excellent developer experiences for teams building on these platforms.
• Design and build ultra-distributed systems that take full advantage of Cloudflare's massive global edge network, including edge computing with Workers and Durable Objects, ensuring our services deliver exceptional performance and reliability to users worldwide while managing the complexity of geo-distributed state and coordination.
• Set architectural standards and technical direction for our Product Platform stack—including Go services, Python pipelines, TypeScript edge computing (Cloudflare Workers/Durable Objects), and PostgreSQL data layer—ensuring decisions balance immediate business needs with long-term scalability, maintainability, and engineering velocity.
• Identify critical technical debt, systemic inefficiencies, and infrastructure gaps across the organization, building business cases and driving consensus among leadership to fund and execute solutions that might otherwise fall through the cracks of product-focused roadmaps.
• Serve as a technical force multiplier by embedding with tiger teams or product groups that need deep infrastructure expertise, providing architectural leadership, hands-on implementation where needed, and ensuring projects ship with production-grade reliability, security, and performance.
• Mentor and elevate senior engineers across the organization through code reviews, architectural discussions, and technical design reviews, establishing patterns and practices for distributed systems, security, and edge computing that raise the bar for engineering excellence throughout the company.

Desirable Skills, Knowledge, and Experience:

• 10+ years of software engineering experience with a demonstrated history of leading complex, organization-wide technical initiatives that delivered measurable improvements to system performance, reliability, security, developer productivity, or engineering culture.
• Deep expertise in building distributed systems and production infrastructure at scale, with proficiency in Go and strong working knowledge of Python/TypeScript; proven ability to make sound architectural decisions for systems that span multiple data centers, regions, or edge locations.
• Strong understanding of authentication, authorization, and security fundamentals including experience designing and implementing service-to-service authentication systems, RBAC/permission models, identity management, or similar security-critical infrastructure.
• Extensive experience with PostgreSQL or similar relational databases at scale, including advanced optimization techniques, replication strategies, and understanding the tradeoffs of distributed data storage and consistency models.
• Strong track record of technical leadership and influence without direct authority, including driving consensus on technical decisions across multiple teams, mentoring senior engineers, and establishing architectural patterns that are widely adopted across an organization.
• Exceptional ability to navigate ambiguous problem spaces, identify the highest-impact technical work, and drive projects autonomously from conception through adoption—balancing pragmatic execution with long-term technical excellence.
• Please be prepared to discuss specific examples of organization-wide technical initiatives you've led, particularly distributed systems or security infrastructure, their measurable business impact, and how you influenced technical direction across multiple teams.

Nice to Have Skills

• Deep experience with Cloudflare's developer platform, particularly Cloudflare Workers, Durable Objects, and architecting ultra-distributed applications for edge computing environments at global scale.
• Previous experience as a Principal Engineer, Staff+ engineer, or technical leader on platform, infrastructure, or task force teams that operate outside traditional product roadmaps with a focus on enabling engineering organizations.
• Proven expertise in building developer platforms, service mesh architectures, zero-trust security systems, API gateways, or other foundational distributed infrastructure that significantly improved engineering velocity or operational excellence.
• Experience architecting and operating billing systems, usage metering, or other high-stakes platform components that require exceptional reliability, accuracy, and work correctly in distributed, eventually-consistent environments.
• Public evidence of technical leadership such as conference talks on distributed systems or security, widely-read technical blog posts, significant open source contributions, or published architectural patterns that have been adopted by the broader engineering community.

Compensation

Compensation may be adjusted depending on work location.

• For New York City, Washington, Washington D.C. and California (excluding Bay Area) based hires: Estimated annual salary of $230,000 - $281,000
• For Colorado based hires: Estimated annual salary of $200,000 - $275,000

Equity

This role is eligible to participate in Cloudflare’s equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel Medical Insurance

Financial Benefits

• Short and Long Term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan
• Employee Stock Participation Plan

Time Off

• Flexible paid time off covering vacation and sick leave
• Leave programs, including parental, pregnancy health, medical, and bereavement leave

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

Position Summary

We are seeking an accomplished Principal Software Engineer to shape the future of lab software platforms powering high-throughput, regulated laboratory operations. In this role, you will define technical direction across complex, distributed systems and lead the evolution of software applications that drive lab automation, efficiency, and operational excellence.

You will operate as a hands-on technical leader with deep ownership, from architecture and design through critical implementation to influencing lab operations processes, engineering standards, and long-term platform strategy. This role is ideal for a systems thinker who thrives in ambiguity, makes sound tradeoffs, and raises the technical bar for the entire organization.

Responsibilities

Technical Leadership & Architecture

• Own and evolve the architecture of large-scale, mission-critical systems supporting lab automation, workflow orchestration, and decision support.

• Define and enforce architectural patterns for modular, distributed systems, including modernizing legacy and off-the-shelf LIMS platforms to cloud-native architectures.

• Make high-impact technical decisions balancing scalability, reliability, security, cost, and regulatory constraints.

• Establish engineering best practices across performance, observability, testing, security, and operational readiness.

• Mentor senior engineers and managers through design reviews, technical guidance, and reusable frameworks.

• Drive adoption of Generative AI to improve developer productivity and software quality.

• Lead the application of AI/ML capabilities to improve lab throughput, TAT, automation reliability, and operator experience.

Software Engineering Execution

• Lead and contribute across the full software development lifecycle—from problem framing and architecture through implementation, deployment, and production support.

• Plan and execute complex migrations from legacy and off-the-shelf lab systems to the new strategic platform, including data migration, integration cutovers, validation strategy, and rollback planning, while minimizing downtime and operational risk in a regulated environment.

• Build and review robust backend services and modern frontend applications using Python, TypeScript, React, and Next.js.

• Stabilize and scale existing LIMS solutions while leading strategic modernization to a new technology stack.

• Design and operate systems on AWS with a focus on availability, fault tolerance, cost efficiency, and security.

• Advance CI/CD practices with infrastructure-as-code, automated testing, and production-grade observability.

Cross-functional Collaboration

• Partner closely with Product, UX, Scientists, and Lab Operations to translate complex workflows into scalable, intuitive systems.

• Lead technical discussions that influence product roadmaps and platform strategy.

• Foster a culture of engineering excellence, ownership, and continuous improvement across teams.

Qualifications

• 12-15+ years of experience in developing software applications.

• Proven experience with programming languages such as Python, Java, NextJS, and TypeScript.

• Solid understanding of relational databases and proficiency in SQL programming, with a preference for MySQL or PostgreSQL.

• Solid understanding of non-relational and graph databases.

• Proficiency in leveraging AWS services, including Lambda, RDS, DynamoDB, S3, and Glue.

• Proficiency in infrastructure as code (IaC).

• Proficiency in messaging frameworks such as Kafka.

• Strong quality assurance mindset with a commitment to delivering robust and reliable software.

• Excellent problem-solving skills and the ability to work both independently and collaboratively in a dynamic environment.

• Strong written and verbal communication skills, coupled with excellent interpersonal skills, enable effective interaction with stakeholders at all levels.

Nice to Have

• Experience building custom Laboratory Information Management Systems (LIMS) or Laboratory Execution Systems (LES).

• Experience with Lab Equipment and Lab Automation.

#LI-DNI

Location: Remote (U.S. or Canada)

Type: US Applicants – Full-Time; Canadian Applicants – Independent Contractor

About Human Agency

We're scaling rapidly and have a growing pipeline of opportunities that demand exceptional talent across disciplines. Our mission is to bring on individuals, from creative producers to technical experts to entrepreneurial leaders, who can help us realize this next chapter of growth.

We are a company of doers. Leaders roll up their sleeves, teams work flat, and everyone contributes to what ships. Titles don't insulate us from feedback or basics. We invite critique, learn quickly, and keep raising the bar. The best ideas win here, no matter where they come from, because clients trust us to deliver the strongest outcomes every time.

Our clients' missions, products, and bottom lines are sacred. We immerse ourselves in their world, becoming stewards of their goals and partners in solving big problems. Every product, strategy, or asset we create must be both beautiful and functional; practical, usable, and designed for real-world impact.

Humans are our most valuable resource, and we only grow by hiring people who push us forward. Across strategy, engineering, design, data, and operations, we seek out teammates who raise the bar and make us better. Always hire up, never down.

We partner with organizations of all sizes to explore, design, and implement AI strategies that are secure, scalable, and human-centered. We believe AI should amplify human potential, not replace it, and we build with that conviction in every engagement. From advisory and tooling to implementation and education, we meet clients where they are and help them integrate AI in ways that align with their mission and values. Our goal is to empower teams to work smarter, move faster, and unlock new possibilities through thoughtful, responsible innovation.

And through it all, we lead with purpose, love, and adventure. We do meaningful work with people we care about, and we make the ride an adventure worth taking. Because at Human Agency, who we are and how we work are one and the same.

The Opportunity

Human Agency is an AI-native consultancy that builds, ships, and operates alongside our clients. We don’t advise from the sideline — we embed inside enterprise organizations and deploy production AI systems that do real work.

Our current anchor engagement is inside one of the largest privately held construction enterprises in the United States — LLM orchestration, document intelligence, workflow automation, enterprise integration. Not strategy decks. Not innovation labs. Systems that run.

We need a Managing Director of Technology to own the technical side of the house as we scale Human Agency. That means leading client delivery, making architecture calls, building the engineering team, and being the technical voice in rooms with C-suite executives. You’ll work closely on strategy with both the Founder and the Managing Director of AI — but the technical execution, the team, and the platform are yours.

This role requires someone who can move between writing production code and presenting to a client’s CEO in the same week. If that sounds like whiplash, this isn’t the right fit. If that sounds like Tuesday, keep reading.

What You’ll Do

Lead technical delivery for enterprise clients. You’re the most senior technical person in the room on our biggest engagements. You decide what’s feasible, design the architecture, and make sure it ships. When a client executive asks “can we do this?” — you’re the one who answers.

Build how we deliver, not just what we deliver. One client engagement works because of talented people and brute effort. Ten engagements work because of systems. You design the repeatable model — how we scope, staff, build, and deploy — so the team can run engagements without you in every meeting. That means building discovery frameworks, reference architectures, deployment templates, and evaluation routines that actually get used.

Hire and develop the engineering team. You set the bar, own the pipeline, and make the calls on who joins. We need people who can build with high autonomy in ambiguous environments, and you know how to find them. You also know how to make good engineers better through architecture guidance, code review, and honest feedback.

Own platform and infrastructure decisions. Build vs. buy, tooling, deployment, security — you make the calls. A Principal Engineer handles day-to-day infrastructure execution; you set priorities and architectural direction.

Shape our AI strategy through the lens of what actually ships. You have real opinions on LLM orchestration, RAG, agents, evaluation, and fine-tuning — formed by building things, not reading about them. You decide which technical bets we make and which we skip, based on what creates value for clients, not what looks good on a slide.

What We’re Looking For

• You’ve built and shipped AI/ML systems in production. Not prototypes. Not demos. Things that run and that people depend on.
• You’ve hired and led a technical team — at least 5 people, ideally more. You’ve seen what breaks when a team grows and you’ve fixed it.
• You can explain a technical trade-off to a non-technical executive in a way that helps them make a decision. You’ve done this in high-stakes settings.
• You have strong opinions on AI architecture grounded in hands-on experience — and you change those opinions when the evidence says to.
• You’re comfortable in the weeds. When something is broken or a team is stuck, you get in and help, not schedule a meeting about it.
• You know your way around cloud infrastructure and engineering practices well enough to make platform calls with confidence.

Bonus points for: you’ve scaled a startup or early-stage company before — built the team, built the systems, lived through the growing pains; experience in a services or consultancy model (SOWs, staffing, client delivery); a network of engineers you’ve worked with and would hire again.

You Should Apply If

• You’d rather build AI systems than talk about AI strategy
• You want to own a technical organization, not manage a lane inside someone else’s
• You’re comfortable making big decisions with imperfect information — and owning the outcome
• You want to work somewhere with real revenue, real clients, and real problems to solve
• You’re energized by building a company — not just writing code, but shaping how the whole thing works

You Should Not Apply If

• You want a CTO-like title with a strategy focus and minimal hands-on building
• You’re uncomfortable getting into production-level detail when the situation calls for it
• You expect an established engineering org with playbooks, processes, and a support structure already in place
• You’d rather delegate technical depth than engage directly
• Your experience is solely in product companies and you’re not interested in building for clients

Considerations

Education: Bachelor’s degree or equivalent experience; advanced degrees are a plus but not required

Ethics: Commitment to responsible AI practices — transparency, human oversight, privacy

Travel: Periodic (10–20%) for client work, team offsites, and events

Location: Remote-friendly; U.S. or Canada, with preference for EST timezone alignment

Why Join Human Agency

We’re profitable, growing, and building AI systems that run in production for billion-dollar companies. The team is small, the clients are real, and the work matters.

The work is real and the opportunity is massive. We’re building a company — the systems, the team, the delivery model, the culture — and we need someone to own the technical side of that build.

If you’re the kind of person who’d rather build the engine than describe the engine, we want to talk.

Equal Opportunity Commitment

Human Agency is an Equal Opportunity Employer. We value diverse perspectives and are committed to building inclusive, high-performing teams where everyone can do their best work.

 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.

ABOUT PLACER.AI: 

Placer.ai is transforming how organizations understand the physical world. Our location analytics platform provides unprecedented visibility into locations, markets, and consumer behavior. Placer empowers thousands of customers—from Fortune 500 companies, to local governments and nonprofits— to make smarter, data-driven decisions.

What sets us apart? We've built the most advanced location intelligence platform in the market while maintaining an uncompromising commitment to privacy, proving that powerful analytics and responsible data practices can coexist.

Our growth reflects the market's demand: we reached $100M in annual recurring revenue within just 6 years of launching, achieved unicorn status with a $1B+ valuation in 2022, and continue to expand rapidly as one of North America's fastest-growing tech companies. We're creating a $100B+ market opportunity, and we're just getting started.

Named one of Forbes America's Best Startup Employers and a Deloitte Technology Fast 500 company, we're building a culture where innovation thrives, collaboration is the norm, and every team member contributes to reshaping how the world understands location.

SUMMARY:

We are seeking an experienced Principal Engineer with deep GenAI expertise to lead our GenAI product solutions and development efforts. In this role, you will be responsible for driving the technical vision and architecture of our AI-powered location intelligence platform, building production-ready solutions that transform how businesses understand and leverage location data. You will oversee the full-stack development of our conversational AI system, from LLM integration and agentic workflows to real-time streaming interfaces, while establishing the technical foundation for our next-generation business intelligence tools. If you are a technical leader with 10+ years of software development experience, proven success in production GenAI environments, and a passion for building scalable AI platforms that deliver measurable business impact, we want to hear from you.

RESPONSIBILITIES:

• Lead the technical vision and architecture decisions for our GenAI products, ensuring scalability and performance of the AI-powered location intelligence system.
• Establish technical roadmaps aligned with business objectives and scalability requirements.
• Design and implement end-to-end AI systems from prototype to production, including LLM integration, agentic architectures, and RAG implementations.
• Build robust data pipelines and infrastructure supporting AI/ML workloads at scale.
• Oversee model deployment, fine-tuning, and optimization for production environments.
• Architect scalable microservices and cloud-native solutions supporting real-time AI applications.
• Ensure responsible AI practices including guardrails, performance monitoring, and ethical considerations.

REQUIREMENTS:

• Bachelor's degree or higher in Computer Science, Engineering, or a related field.
• 10+ years of experience in software development, with 1+ years building production GenAI solutions in B2B SaaS environments.
• Expert-level proficiency in backend engineering with Python, Java, Go, or Node.js; proven experience designing microservices architectures and deploying on cloud platforms (AWS, GCP, or Azure). Strong understanding of modern frontend technologies (React/Next.js, TypeScript) and experience architecting full-stack applications with real-time data streaming and WebSocket integrations.
• Hands-on experience building and deploying LLM-powered applications using frameworks such as LangChain, LlamaIndex, and APIs from OpenAI, Anthropic, or open-source models.
• Experience implementing agentic AI architectures with tool calling, memory systems, and multi-step reasoning capabilities for complex business workflows.
• Demonstrated expertise in RAG (Retrieval-Augmented Generation) systems, vector databases (Pinecone, Weaviate, ChromaDB), and semantic search implementations.
• Strong foundation in data engineering: designing and optimizing data pipelines, ETL processes, and data infrastructure to support AI/ML workloads.
• Proven track record of taking GenAI models from prototype to production, including fine-tuning LLMs, prompt engineering, and implementing guardrails for responsible AI.
• Experience with MLOps practices: model versioning, A/B testing, monitoring model performance, and managing the full ML lifecycle in production environments.
• Skilled at translating business requirements into technical solutions and collaborating with cross-functional teams including product managers, data scientists, and stakeholders.

WHY JOIN PLACER.AI?

• Join a rocketship! We are pioneers of a new market that we are creating.
• Take a central and critical role at Placer.ai.
• Work with, and learn from, top-notch talent.
• Competitive salary.
• Excellent benefits.

NOTEWORTHY LINKS TO LEARN MORE ABOUT PLACER

• About Placer.ai
• Placer.ai's $100M round C funding (unicorn valuation!)
• See our data in action at The Anchor
• Placer.ai in the news
• Video: About Placer for Commercial Real Estate

Placer.ai is committed to maintaining a drug-free workplace and promoting a safe, healthy working environment for all employees.

Placer.ai is an equal opportunity employer and has a global remote workforce. Placer.ai’s applicants are considered solely based on their qualifications, without regard to an applicant’s disability or need for accommodation. Any Placer.ai applicant who requires reasonable accommodations during the application process should contact Placer.ai’s Human Resources Department to make the need for an accommodation known.