About the team 

Our number one priority is the safety and security of the workforce and the business. We strategically manage and work tirelessly to mitigate risks to our employees, facilities, events, and productions, providing world-class assistance 24/7/365. We take a systematic approach by thoroughly evaluating our risk exposure, capabilities, and appetite to ensure that optimal decisions are made, and measures proportionate to the level of risk are applied. Finally, we partner and engage authentically across the enterprise by establishing an atmosphere of trust and approachability through competency, integrity, and transparency. 

About the role 

In this role at Roku, we are seeking a proactive and collaborative professional with strong expertise in environment, health, and safety (EHS). Reporting to the Sr. Manager, Workplace Experience for the Americas, the Manager will be responsible for implementing and maintaining EHS plans and processes that ensure compliance with government regulations and industry standards. This role plays a key part in safeguarding our employees, facilities, and operations. You will oversee the day-to-day management of health and safety programs and provide operational support across global teams to promote a safe and compliant workplace. 

This role will be Monday - Thursday in office with the option to work from home on Friday. This role is based in Austin, TX.

The estimated annual salary for this position is between $120,000 - $130,000 base annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

What you’ll be doing 

• Develop, implement, and manage EHS programs and policies that comply with relevant regulations (e.g., country, OSHA, EPA, provincial/state), and company standards across regions they are responsible for. 
• Serve as a regional subject matter expert for Americas (or EMEA/APAC) EHS matters, providing guidance to sites and functional teams. 
• Lead incident investigations, root cause analysis, and implementation of corrective/preventive actions. 
• Devise risk assessments and safety audits templates; track and report metrics to drive continuous improvement. 
• Partner with Site Leads, Security Operations, People, Legal, Workplace Experience, and Facilities teams to ensure safe practices are embedded across all work environments (including remote and hybrid settings) 
• Monitor and communicate changes in EHS laws and regulations; ensure timely updates to internal protocols. 
• Support global EHS initiatives and align programs across regions, ensuring consistency in training, reporting, and compliance systems. 
• Lead contractor/vendor safety management processes and support emergency preparedness planning. 
• Represent the company in EHS-related interactions with regulatory agencies, industry groups, and third-party auditors. 
• Oversee company Ergonomic efforts and initiatives. 
• Lead Emergency Response Team program for relevant region.  

We’re excited if you have 

• Bachelor’s degree in Environmental Health & Safety, Occupational Health, Industrial Hygiene, or related field; Master’s preferred. OR: Minimum 3-5 years of progressive EHS experience, with at least 2 years in a multi-site or regional/global capacity. 
• Strong knowledge of North American EHS regulations (OSHA, EPA, WHMIS, CSA standards, etc.) 
• Professional certification(s) preferred: CSP, CIH, CHMM, CRSP, or equivalent (including NEBOSH, IOSH). 
• Experience in ergonomic risk mitigation. 
• Demonstrated ability to influence cross-functional teams and drive program adoption without direct authority. 
• Excellent communication, analytical, and organizational skills. 
• Comfortable with data analytics tools, safety management systems and virtual collaboration platforms. 
• Comfort engaging with technical experts and translating findings into actionable business insights. 
• Willingness to be part of local emergency response team 
• Willingness to become a certified trainer in First Aid, CPR, and use of AED. Train and certify (or re-certify) ERT members, as needed. 
• Ability for occasional travel within region/s 
• This role will be based in Austin,TX and will be Monday - Thursday in office. 
• Must have experience working within all Americas (US, Canada and Mexico)

#LI-FA1

About the team

When you work at Roku, you work on a platform that real people use: You can show off the fruits of your labor to your family and friends and see it in your favorite stores’ electronics departments. As a member of the Roku Products Engineering team, you will design and develop embedded software systems that enable us to build world-class products, with Roku “inside” as their OS. To make this possible, you will work on the Roku OS on new technologies and develop new features while keeping our existing code clean and performant. Additionally, you will work with product managers to accommodate shifting demands and schedules; collaborate cross-functionally with our QA and other development teams; and build solutions with external hardware component vendors.

We value individuals who take pride in their ability to navigate ambiguity, collaborate, and partner with both internal and external teams, including those with demanding engineering standards and a passion for building the highest-performing, best-in-class consumer products. We aren’t kidding that Roku is a place where no one is a bystander. If you want to work on a team where you will be surrounded by the best talent-building things used by millions of people, if you want a tech culture that just works, you should reach out.

About the role

We are looking for a talented engineer to join our Products Team working on the Roku TV program! You will be responsible for the core tasks ranging from Roku OS feature development, SoC partner collaboration, third-party API integration, code maintenance, design scalability solutions to help onboard new factories, supporting our QA and Channel certification teams, and everything else involved in our end-to-end product development and release cycles. To succeed in this challenging role, the following expertise is strongly preferred.

What you'll be doing

• Roku OS feature development 
• Code maintenance and scalability solution design and development 
• Partner with internal QA and development teams 
• System-on-a-Chip (SoC) integration and platform bring-up 
• Third-party API integration 
• Working end-to-end product development and release cycles

We're excited if you have

• Bachelor's or master's degree in computer science or computer engineering, Electrical Engineering, or other relevant fields 
• 8+ years of relevant software development experience 
• 4+ years C/C++ coding experience 
• System-on-a-chip (SoC) development and integration preferred 
• Experience developing/debugging on Linux or Android-based embedded platforms 
• Good understanding of Linux system and kernel concepts, multithreading primitives, Linux tools, libraries, and open-source development 
• Experience with streaming audio/video platforms, graphics, and industry standards 
• Ability to excel in a fast-paced engineering environment 
• Have an ability to communicate with candor and effectiveness 
• Experience working collaboratively with cross-functional teams 

#LI-DH2

About the Team

The Roku TV & Licensing team is looking for a Senior Business Development Manager with a deep understanding and experience in the TV industry to work closely with our Roku TV partners (factories, brand licensees, OEM/ODM) and Roku's cross-functional teams to analyze and make recommendations for engagement with new partners to integrate Roku's Operating System. This person will support the Roku TV teams by helping to manage new and ongoing programs at these partners. 

About the Role 

We are looking for a motivated individual to utilize your experience & skillset to understand and present the Roku OS and reference designs to key partners to drive adoption. Your partner management experience will help you identify and communicate program and business requirements to partners and field product features requests back into Roku. In this role you will be required to review and contribute to global business planning and product requirement documents which align & support Roku initiatives and our partners’ goals, objectives and timelines. 

The work we do can be challenging but impactful and that's why we enjoy it so much. The ideal candidate isn't a bystander. They are curious and engaged, willing to jump in to solve problems and make data-driven decisions even when things feel very ambiguous. Our industry changes quickly, so we expect a great candidate to be comfortable responding quickly to changing business needs, knowing that their own success comes when the company and larger team succeeds.

What you'll be doing 

• Manage business relationships with partners that are located throughout the Americas including Central America and Brazil
• Facilitate discussions between Roku's teams and current and potential new partners & factories
• Work with partners to establish short term programs and long-term relationships to embed Roku's OS in their products
• Collect, analyze and present the partner's requirements to Roku's cross functional teams and work to create legal agreements
• Coordinate with Roku's cross functional teams on new partnership engagements
• Support program kick-off meetings and development efforts with partners & factories
• Work with factories to ensure programs are running as planned
• Work with partners on timely reporting and tracking of products with the Roku OS embedded
• Organize and lead quarterly business and technical reviews
• Advocate product issues on behalf of the partners within Roku and influence internal teams to resolve the issues in a timely manner
• Conduct market & product research to determine industry requirements & opportunities
• Research, analyze and report current market conditions for strategic consideration
• Provide industry analysis. Identify competitive threats and create actionable reporting

We're excited if you have 

• Bachelor's degree in Business, Engineering or related discipline required 
• Business development &/or partner management background with clear understanding of Consumer Electronics (CE) products and industry experience focused on TV, Audio, streaming devices
• Understand Operating Systems, SW architecture and HW reference designs
• Excellent knowledge of TV and Audio industry and supporting technologies
• Outstanding partner management skills, leveraging your strong business acumen and technical background
• Experience working with ODM/OEMs and using data analytics & reporting to drive business decisions
• 10+ years working with CE partners, focused on Latin American markets
• Excellent verbal, presentation, and written communication skills in English required 
• Fluency in Spanish & Portuguese preferred
• Ability and willingness to travel as needed 

#LI-DH2

About the role

Roku’s leadership in streaming depends on delivering exceptional devices that combine the right hardware platforms with Roku OS to create simple, reliable, and delightful experiences. Roku is the #1 TV streaming platform in North America, and we’ve set our sights on powering every television in the world. Roku pioneered streaming to the TV.  

Our mission is to change the face of television and streaming media watching around the world. This role is tasked with leveraging hardware and software to create a unique viewing experience, one that turns users into raving fans.  

You will report directly to the Vice President of Software Engineering and serve as a key technical contributor for Roku’s device platform strategy, with a strong focus on high-quality software solutions.

We are looking for a highly skilled Lead Systems Software Architect who leads complex implementations for Roku TVs and streaming devices, grounded in a deep understanding of multimedia system design (video/audio pipelines, SoCs, memory, power, thermals). You will design, implement, debug, and optimize the software platform that spans the full system, ensuring it is performant, secure, and scalable across SKUs and generations. You will collaborate with ODM partners, chipset vendors, and internal software/hardware teams to drive products from concept to mass production.

The work we do can be challenging, but that’s why we enjoy it so much. The ideal candidate isn’t a bystander. They are curious and engaged, willing to jump in to solve problems and make data-driven decisions even when things feel very ambiguous. Our industry changes quickly, so we expect a great candidate to be comfortable responding quickly to changing business needs, knowing that their own success comes when the team succeeds.

What you’ll be doing

Software development & platform ownership 

• Own complex features or subsystems end-to-end, from design and implementation through bring-up, validation, and production support.
• Translate product and business goals into concrete designs, tasks, and implementation plans.
• Design, implement, and maintain core platform software for Roku device programs and platforms, with a strong focus on code quality, robustness, and long-term maintainability.
• Contribute to and influence hardware–software partitioning, platform APIs, and integration patterns to enable feature teams to build reliably on the device platform.
• Drive and model best practices for coding standards, code reviews, testing strategies, and CI/CD for platform software. 

Multimedia & system-level engineering 

• Implement and optimize video/audio pipelines, codecs, and rendering paths to deliver high-quality playback, low latency, and smooth UI/UX for streaming applications. 
• Contribute to end-to-end multimedia system design for TVs and streaming devices, ensuring solutions scale across SKUs and generations. 
• Define and help maintain benchmarks and test scenarios for media, graphics, and system behavior that map directly to Roku use cases. 
• Implement and maintain secure boot, DRM integrations, and standards-compliant content protection features in collaboration with security experts. 

Systems-aware implementation integrating hardware-software  

• Lead the product evaluation and enablement of candidate SoCs and companion chipsets, partnering with SoC vendors on performance, power, cost, and ecosystem maturity. 
• Implement and maintain drivers, HALs, and low-level services that expose the right hardware capabilities (media, graphics, connectivity, security) to Roku OS. 
• Drive early bring-up and debug of new SoCs and boards from a software perspective (boot chain, device drivers, board support packages, diagnostics). 
• Anticipate system-level failure modes (thermal, power, component tolerances, resource exhaustion) and implement software mitigations (throttling, graceful degradation, watchdogs, telemetry hooks). 

Performance engineering in constrained environments 

• Define and enforce memory, CPU/GPU/NPU, and storage budgets across SKUs, working closely with feature teams. 
• Use profiling tools, tracing, and telemetry to diagnose and fix performance bottlenecks across the stack (kernel, drivers, middleware, apps). 
• Implement optimizations to improve boot time, UI performance, streaming quality, and app responsiveness while staying within platform constraints. 

Quality, diagnostics, and observability 

• Partner with NPI, test, and manufacturing engineering to design and implement system-level validation strategies, test automation, and regression suites for your components. 
• Implement and refine diagnostics, logging, and telemetry that make field issues diagnosable and fixable at scale, including the platform hooks needed for AI-assisted troubleshooting. 
• Ensure the robustness and reliability of low-level software in production configurations, including robust error handling, recovery strategies, and safe update mechanisms. 

Cross-functional collaboration & technical leadership 

• Collaborate with OS, media, graphics, connectivity, security, and cloud/service teams to integrate platform features that meet product requirements. 
• Provide technical mentorship to other software engineers, especially around debugging complex system issues, performance tuning, and best practices for systems-level code. 
• Work closely with engineering leads to review designs, surface trade-offs, and de-risk implementations before they reach production. 
• Partner with SoC vendors and OEM/ODM partners from design through mass production, ensuring software deliverables, validation, and readiness meet Roku’s standards 

AI and system-level intelligence 

• Implement components in system-level AI/ML flows where AI is in the loop (e.g., quality monitoring, recommendations, anomaly detection, test selection).
• Specify and implement platform APIs and telemetry that enable AI tools to be effective across the device stack (logs, traces, metrics, events).

We’re excited if you have

Education & experience 

• BS/MS in Computer Science, Computer Engineering, Electrical Engineering, or related field. 
• 15+ years of industry experience in embedded systems-level software development, with a strong emphasis on hands-on software development for multimedia products. 
• Proven track record building and shipping AV products (TVs, set-top boxes, streaming devices, consoles, or similar) at scale. 

Software development & systems expertise 

• Strong experience with embedded Linux or Android-based systems 
• Proficiency in one or more systems programming languages such as C/C++ (Rust or similar is a plus), with deep experience in debugging, performance tuning, and maintainable code design. 
• Strong familiarity with modern SDLC practices: CI/CD, automated testing, static/dynamic analysis, continuous performance regression monitoring, and observability tooling. 

Multimedia & system knowledge 

• Deep understanding of ARM-based SoCs, multimedia pipelines, and system constraints (memory bandwidth/latency, storage performance, UI/frame-rate stability, thermal behavior). 
• Demonstrated ability to analyze and optimize system-level performance using profiling, tracing, and hardware counters. 
• Experience with DRM, content protection, secure boot, and related industry standards for streaming and TV products. 
• Experience collaborating with SoC vendors and ODM/OEM partners from design through mass production, especially around platform software deliverables and validation. 

AI, accelerators, and low-level platforms 

• Experience with NPU/DSP/AI accelerator blocks on embedded SoCs, including maximizing throughput and minimizing latency within real-world device constraints. 
• Ability to build or integrate end-to-end flows where AI is in the loop, particularly for diagnostics, performance optimization, or UX improvements. 
• Proficient in using AI tools for debugging, code review, test selection, and log analysis, and in implementing the platform hooks (APIs/telemetry) that those tools need. 

Hardware & board-level understanding (bonus) 

• Solid understanding of board-level design concepts (schematics/layout review, power and thermal design, signal integrity considerations, and interfaces such as I²C, USB, PCIe, and HDMI).
• Comfortable partnering with board design teams to translate software and system needs into board-level requirements and constraints, even though your primary focus is software 

How you work 

• Strong communication skills with the ability to explain complex software and system trade-offs to both technical and non-technical stakeholders. 
• A bias toward data-driven decisions, clear documentation, and repeatable processes. 
• Demonstrated ability to lead technically through code and design, influence cross-functional teams, and drive complex platform changes from concept to production.

#LI-SR2

About the role

Roku’s leadership in streaming depends on delivering exceptional devices that combine the right hardware platforms with Roku OS to create simple, reliable, and delightful experiences. Roku is the #1 TV streaming platform in North America, and we’ve set our sights on powering every television in the world. Roku pioneered streaming to the TV.  

Our mission is to change the face of television and streaming media watching around the world. This role is tasked with leveraging hardware and software to create a unique viewing experience, one that turns users into raving fans.  

You will report directly to the Vice President of Software Engineering and serve as a key technical contributor for Roku’s device platform strategy, with a strong focus on high-quality software solutions.

We are looking for a highly skilled Lead Systems Software Architect who leads complex implementations for Roku TVs and streaming devices, grounded in a deep understanding of multimedia system design (video/audio pipelines, SoCs, memory, power, thermals). You will design, implement, debug, and optimize the software platform that spans the full system, ensuring it is performant, secure, and scalable across SKUs and generations. You will collaborate with ODM partners, chipset vendors, and internal software/hardware teams to drive products from concept to mass production.

The work we do can be challenging, but that’s why we enjoy it so much. The ideal candidate isn’t a bystander. They are curious and engaged, willing to jump in to solve problems and make data-driven decisions even when things feel very ambiguous. Our industry changes quickly, so we expect a great candidate to be comfortable responding quickly to changing business needs, knowing that their own success comes when the team succeeds.

For California Only - The estimated annual salary for this position is between $350,000 - $510,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off."    

What you’ll be doing

Software development & platform ownership 

• Own complex features or subsystems end-to-end, from design and implementation through bring-up, validation, and production support.
• Translate product and business goals into concrete designs, tasks, and implementation plans.
• Design, implement, and maintain core platform software for Roku device programs and platforms, with a strong focus on code quality, robustness, and long-term maintainability.
• Contribute to and influence hardware–software partitioning, platform APIs, and integration patterns to enable feature teams to build reliably on the device platform.
• Drive and model best practices for coding standards, code reviews, testing strategies, and CI/CD for platform software. 

Multimedia & system-level engineering 

• Implement and optimize video/audio pipelines, codecs, and rendering paths to deliver high-quality playback, low latency, and smooth UI/UX for streaming applications. 
• Contribute to end-to-end multimedia system design for TVs and streaming devices, ensuring solutions scale across SKUs and generations. 
• Define and help maintain benchmarks and test scenarios for media, graphics, and system behavior that map directly to Roku use cases. 
• Implement and maintain secure boot, DRM integrations, and standards-compliant content protection features in collaboration with security experts. 

Systems-aware implementation integrating hardware-software  

• Lead the product evaluation and enablement of candidate SoCs and companion chipsets, partnering with SoC vendors on performance, power, cost, and ecosystem maturity. 
• Implement and maintain drivers, HALs, and low-level services that expose the right hardware capabilities (media, graphics, connectivity, security) to Roku OS. 
• Drive early bring-up and debug of new SoCs and boards from a software perspective (boot chain, device drivers, board support packages, diagnostics). 
• Anticipate system-level failure modes (thermal, power, component tolerances, resource exhaustion) and implement software mitigations (throttling, graceful degradation, watchdogs, telemetry hooks). 

Performance engineering in constrained environments 

• Define and enforce memory, CPU/GPU/NPU, and storage budgets across SKUs, working closely with feature teams. 
• Use profiling tools, tracing, and telemetry to diagnose and fix performance bottlenecks across the stack (kernel, drivers, middleware, apps). 
• Implement optimizations to improve boot time, UI performance, streaming quality, and app responsiveness while staying within platform constraints. 

Quality, diagnostics, and observability 

• Partner with NPI, test, and manufacturing engineering to design and implement system-level validation strategies, test automation, and regression suites for your components. 
• Implement and refine diagnostics, logging, and telemetry that make field issues diagnosable and fixable at scale, including the platform hooks needed for AI-assisted troubleshooting. 
• Ensure the robustness and reliability of low-level software in production configurations, including robust error handling, recovery strategies, and safe update mechanisms. 

Cross-functional collaboration & technical leadership 

• Collaborate with OS, media, graphics, connectivity, security, and cloud/service teams to integrate platform features that meet product requirements. 
• Provide technical mentorship to other software engineers, especially around debugging complex system issues, performance tuning, and best practices for systems-level code. 
• Work closely with engineering leads to review designs, surface trade-offs, and de-risk implementations before they reach production. 
• Partner with SoC vendors and OEM/ODM partners from design through mass production, ensuring software deliverables, validation, and readiness meet Roku’s standards 

AI and system-level intelligence 

• Implement components in system-level AI/ML flows where AI is in the loop (e.g., quality monitoring, recommendations, anomaly detection, test selection).
• Specify and implement platform APIs and telemetry that enable AI tools to be effective across the device stack (logs, traces, metrics, events).

We’re excited if you have

Education & experience 

• BS/MS in Computer Science, Computer Engineering, Electrical Engineering, or related field. 
• 15+ years of industry experience in embedded systems-level software development, with a strong emphasis on hands-on software development for multimedia products. 
• Proven track record building and shipping AV products (TVs, set-top boxes, streaming devices, consoles, or similar) at scale. 

Software development & systems expertise 

• Strong experience with embedded Linux or Android-based systems 
• Proficiency in one or more systems programming languages such as C/C++ (Rust or similar is a plus), with deep experience in debugging, performance tuning, and maintainable code design. 
• Strong familiarity with modern SDLC practices: CI/CD, automated testing, static/dynamic analysis, continuous performance regression monitoring, and observability tooling. 

Multimedia & system knowledge 

• Deep understanding of ARM-based SoCs, multimedia pipelines, and system constraints (memory bandwidth/latency, storage performance, UI/frame-rate stability, thermal behavior). 
• Demonstrated ability to analyze and optimize system-level performance using profiling, tracing, and hardware counters. 
• Experience with DRM, content protection, secure boot, and related industry standards for streaming and TV products. 
• Experience collaborating with SoC vendors and ODM/OEM partners from design through mass production, especially around platform software deliverables and validation. 

AI, accelerators, and low-level platforms 

• Experience with NPU/DSP/AI accelerator blocks on embedded SoCs, including maximizing throughput and minimizing latency within real-world device constraints. 
• Ability to build or integrate end-to-end flows where AI is in the loop, particularly for diagnostics, performance optimization, or UX improvements. 
• Proficient in using AI tools for debugging, code review, test selection, and log analysis, and in implementing the platform hooks (APIs/telemetry) that those tools need. 

Hardware & board-level understanding (bonus) 

• Solid understanding of board-level design concepts (schematics/layout review, power and thermal design, signal integrity considerations, and interfaces such as I²C, USB, PCIe, and HDMI).
• Comfortable partnering with board design teams to translate software and system needs into board-level requirements and constraints, even though your primary focus is software 

How you work 

• Strong communication skills with the ability to explain complex software and system trade-offs to both technical and non-technical stakeholders. 
• A bias toward data-driven decisions, clear documentation, and repeatable processes. 
• Demonstrated ability to lead technically through code and design, influence cross-functional teams, and drive complex platform changes from concept to production.

#LI-SR2

JOB SUMMARY

As a Staff Platform Engineer, you will define the technical strategy for how our robotics software is built, packaged, and delivered — from a developer's laptop to a walking humanoid robot. You will own the vision and architecture for our C++ build platform, transforming it into a world-class system that scales with a growing engineering organization and an increasingly complex hardware portfolio.

This role goes beyond building great infrastructure — it requires driving alignment across software, robotics, and embedded teams, shaping engineering culture around build reliability and developer velocity, and ensuring that platform investments are tightly coupled to company-wide program milestones. You'll be the technical authority on build systems and developer tooling, operating as a force multiplier that makes every engineer at Apptronik faster and more effective.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES

• Define and own the long-term technical roadmap for the C++ build platform, aligning infrastructure investments with software program timelines and organizational growth
• Architect scalable build infrastructure — including remote caching, remote execution, and cross-compilation for x86, ARM, and Jetson targets — and drive strategic technology decisions through RFCs that gain cross-team alignment
• Set the standards for hermetic, reproducible builds and artifact provenance that become the engineering-wide default
• Own high-performance build environments and the end-to-end artifact lifecycle — from build output through packaging, versioning, and delivery to physical robots
• Architect and optimize CI/CD pipelines at scale; instrument build health metrics and establish SLOs for build performance, CI reliability, and developer iteration speed
• Manage the C++ dependency ecosystem, balancing developer flexibility with reproducibility and long-term maintainability
• Partner with engineering leadership to shape the developer productivity roadmap and advocate for sustained investment in platform infrastructure
• Drive cross-team initiatives to consolidate fragmented build patterns, eliminate toil, and resolve systemic productivity problems that span team boundaries
• Mentor engineers across the organization on build best practices, acting as the go-to technical authority for build systems and developer infrastructure
• Serve as the escalation point for complex, cross-domain issues spanning application code, build systems, containerization, and infrastructure

SKILLS AND REQUIREMENTS

• Deep expertise with C/C++ and its build ecosystem (e.g., CMake, Bazel, Meson), with the ability to reason about toolchains, linkers, compilers, and build behavior at a systems level
• Proven ability to architect and operate build infrastructure at scale, including CI/CD pipelines, caching systems, and cross-compilation environments
• Strong command of the Linux operating system — including internals, networking, file systems, permissions, and resource management
• Proficiency in scripting and automation (Python, Bash) with an emphasis on building maintainable, production-grade tooling
• Demonstrated experience driving technical strategy beyond your immediate team — through design docs, RFCs, or technical proposals that influenced engineering-wide decisions
• Track record of identifying and solving ambiguous, org-wide technical problems that no single team owns
• Excellent communication skills — ability to translate complex build and infrastructure concepts for diverse audiences and advocate for platform investment to leadership
• Solid understanding of core networking fundamentals (TCP/IP, DNS, HTTP)

EDUCATION and/or EXPERIENCE

• Bachelor’s degree in Computer Science, Computer Engineering, or a related field, or equivalent practical experience.
• 5+ years of relevant experience in a DevOps, Software Engineering, or Build/Release Engineering role.
• A proven track record of supporting software development teams by building and maintaining reliable infrastructure and effective tooling.

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 are looking for a Staff Bazel Engineer to build and scale the systems that power how our software is built, tested, and delivered.

Our robotics platform spans multiple languages, platforms, and hardware targets. In this role, you will own and evolve our Bazel-based build infrastructure, enabling fast, reliable, and reproducible builds across a complex system.

You’ll partner closely with software, platform, and robotics teams to ensure our build systems keep pace with rapid development and real-world deployment.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES

• Own and evolve the Bazel build system across a multi-language robotics codebase
• Design and implement scalable build infrastructure, including remote caching and remote execution
• Develop and maintain Starlark rules, macros, and toolchains
• Optimize build and test performance across local development and CI environments
• Troubleshoot and resolve build failures, flaky tests, and dependency issues
• Improve developer workflows both locally and on hardware to reduce friction in build and integration processes
• Partner with engineering teams to onboard services and components to Bazel
• Support and enhance CI/CD pipelines to ensure reliable and efficient releases
• Establish and promote best practices for hermetic and reproducible builds
• Collaborate and mentor other engineers on the team.

SKILLS AND REQUIREMENTS

• Deep expertise and a proven track record of architecting, implementing and maintaining Bazel build systems at scale in production environments.
• Mastery of build systems, dependency management, and CI/CD pipelines and developer tooling with the ability to define the long-term strategic vision for the build infrastructure.
• Extensive experience designing, developing and maintaining complex Starlark rules, macros and toolchains to support diverse language ecosystems.
• Proficiency in one or more core programming languages (e.g., C++, Python, Go, Java)
• Demonstrated ability to drive significant improvements in the build and test performance, reliability and developer efficiency across a large, multi- platform codebase.
• Exceptional troubleshooting and diagnostic skills to solve the most challenging and non-obvious issues within complex, distributed build environments
• Strong technical leadership and influence skills, capable of driving alignment and adoption of best practices across multiple cross-functional engineering teams and actively mentoring junior and senior engineers.

Preferred:

• Experience with remote execution systems (e.g., Bazel RBE, Buildbarn, BuildFarm)
• Familiarity with robotics systems, embedded software, or hardware/software integration
• Experience with containerized environments (Docker, Kubernetes)
• Knowledge of hermetic builds and reproducible systems

EDUCATION and/or EXPERIENCE

• Bachelor’s degree (or equivalent experience) in Computer Science, Computer Engineering, or a related field
• At least 8+ years of experience in software engineering, build systems, or developer infrastructure, including hands-on experience with Bazel

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

At Apptronik, we are building humanoid robots that require an operating system as sophisticated and resilient as their hardware. As a Senior Embedded Linux Engineer, you will own the entire Linux platform ecosystem. You aren't just "using a build tool"; you are architecting a custom distribution from the ground up to ensure our robots are performant, secure, and field-ready.

Your mission is to manage the full lifecycle of the OS: from factory provisioning and secure imaging to real-time kernel tuning and reliable OTA updates. You will ensure that every cycle of the CPU is optimized for our control loops and that our fleet remains stable.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES

Custom OS Architecture & Distribution:

• Architect and maintain a custom, production-grade Linux distribution using Yocto, Buildroot, or an equivalent professional build system.
• Demonstrate complete ownership of the OS layers, managing the relationship between the bootloader, kernel, board support packages (BSPs), and user-space libraries.
• Develop and maintain a highly repeatable and well-documented build process that serves as the single source of truth for all robot compute modules.

Hardware Enablement & Performance Optimization:

• Perform low-level kernel configuration and tuning to meet the strict latency requirements of humanoid robotics.
• Implement core isolation and process priority optimization to ensure critical control loops have deterministic access to resources.
• Optimize the OS footprint and resource utilization (CPU, memory, and I/O) to maximize the efficiency of our Nvidia Jetson (Jetpack) and AMD64 platforms.
• Integrate and debug hardware drivers for peripherals, including Bluetooth (BlueZ), Wi-Fi, and specialized robotics sensors.

Platform Resilience, Provisioning & Updates:

• Factory & Provisioning: Architect the workflows for initial device provisioning, including secure boot initialization, disk partitioning, and factory imaging processes.
• OTA Strategy: Own the end-to-end Over-the-Air (OTA) update architecture (A/B atomic updates) using frameworks like Mender, RAUC, or SWUpdate.
• System Stability: Implement OverlayFS or similar union-mount strategies to create a resilient, "unbreakable" system that supports read-only roots and safe factory resets.

Platform Security & Hardening

• Hardware Root of Trust & Secure Boot: Architect and implement end-to-end Secure Boot chains (from BootROM to Kernel) using TPM 2.0 or Secure Enclaves to ensure only authenticated firmware and OS images execute on the robot.
• System Hardening & Isolation: Implement Linux Security Modules (LSMs) such as SELinux or AppArmor to enforce mandatory access controls; utilize cgroups and namespaces to isolate critical robotics processes from non-critical telemetry.
• Cryptographic Infrastructure: Manage the lifecycle of device identity and cryptographic keys; oversee disk encryption (dm-crypt/LUKS)

Infrastructure & Tooling:

• Own the CI/CD pipeline for OS image generation, ensuring that builds are automated, tested, and traceable.
• Create and maintain comprehensive documentation for the platform architecture, build environment, and flashing procedures.
• Develop specialized diagnostic tools (Python/Bash) for system monitoring and field troubleshooting.

SKILLS AND REQUIREMENTS

• OS Construction: Proven ability to build a custom Linux distribution from scratch. You must understand how to manipulate every layer of the rootfs and toolchain.
• Build System: Experience Yocto/OpenEmbedded, Buildroot, or equivalent professional-grade embedded build environments.
• Kernel & Performance Tuning: Experience with PREEMPT_RT, core isolation (isolcpus), and tuning Linux for real-time robotics or industrial control.
• Nvidia Ecosystem: Deep familiarity with Nvidia Jetson hardware, including L4T, Jetpack SDK, and flashing utilities.
• Resiliency Engineering: Hands-on experience with OverlayFS, partition management, and fail-safe OTA update mechanisms.
• Security Engineering: Hands-on experience with LUKS disk encryption, TPM 2.0 integration, and managing PKI (Public Key Infrastructure) for embedded devices.
• Hardware Interfacing: Experience debugging hardware protocols (I2C, SPI, UART, USB) and wireless stacks (Bluetooth/BlueZ).
• Documentation & Process: A disciplined approach to documentation and creating repeatable engineering processes.

Preferred:

• Experience with "Modern DevOps" (Containerized build environments, GitLab CI, or automated hardware-in-the-loop testing).
• Knowledge of Secure Boot, disk encryption, and TPM integration.
• Knowledge of real time operating systems
• Programming experience in C++ and Python.

EDUCATION and/or EXPERIENCE

• Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field.
• 5+ years of experience in Embedded Linux or Systems Engineering.
• Demonstrated experience shipping and maintaining a custom Linux OS on high-complexity physical hardware.

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 of Senior Employee Listening Manager has a critical role to play in the next phase of MongoDB's growth. You will continue to evolve our global employee listening strategy, tooling, analytics, and action planning process (for managers and for the enterprise) that scales with our organization’s continued growth, and ensure our culture is measured and reflected in our listening strategy. You will also lead other lifecycle surveys to ensure that we harness integrated insights across our listening tools. This role is part of the Culture, Talent, and Development (CTD) leadership team. As a team, we are responsible for culture and talent building programs, including leadership development, employee learning, talent management, engagement, listening, and inclusion. 

This role can be based out of Raleigh, New York City, or Austin for our hybrid working model.

Job Responsibilities include but are not limited to:

• Lead the design and execution of a holistic Employee Listening measurement strategy, including design and administration of lifecycle and ad hoc surveys (e.g., 360) and integration of insights across the talent lifecycle
• Partner with the broader Culture & Development team and other members of the People Team to identify critical people issues and to support delivery of insights and analytics that will inform our strategy and help execute on our people initiatives
• Demonstrate thought leadership on current research and innovative solutions for assessing and measuring the talent lifecycle, from pre-hire to exit, including how AI can support advanced analytics and insights from both quantitative and qualitative data
• Collaborate proactively with the Culture, Talent & Development team and other key stakeholders on the broader People Team to Review, monitor, and communicate results effectively for impact and provide follow-up insights in a timely manner
• Lead our enterprise-wide survey action planning process, and the ongoing enablement for our self-service manager action planning tools
• Support global action planning programs and initiatives, as needed
• Ensure that our Leadership Commitment is embedded in the key decisions and planning in our survey strategy.
• Facilitate projects, identifying dependencies, change management requirements, and prioritizing accordingly
• Manage relationships with the stakeholders across all levels, and ensuring that the project team and stakeholders have an adequate understanding of ownership, timelines, resource needs, risks, contentions, and dependencies

 Required Qualifications:

• 7+ years of proven experience with program managing end-to-end talent lifecycle measurement, specifically related to survey insights, executive summaries, and action planning
• Experience in people or talent analytics, including advanced analytical skills, with demonstrated ability in synthesizing and interpreting employee data
• Excellent analytical and problem-solving skills with a strong attention to detail
• Ability to integrate, analyze, and effectively communicate insights to all levels of the organization
• Experience working directly with leadership and stakeholders at all levels and functions to define and implement solutions
• Demonstrated ability to create creative and compelling insights that are leveraged by multiple teams in an asynchronous setting
• Strong track record of project management skills, including delivering strategic and tactical solutions in fast-paced, high-growth environments
• Excellence in written communication and project documentation
• Excellence in communicating and presenting
• Demonstrated track record and exceptional judgment handling sensitive data

Preferred qualifications:

• Experience working in an HR organization or Talent Center of Excellence or partnering closely with an HR organization for 5+ years
• Advanced degree in Industrial-Organizational Psychology, Data Science, Business Analytics, Organizational Behavior or relevant field
• Experience using AI to support both qualitative and quantitative people data
• Proficiency with Qualtrics, Google Suite, MS Excel, Tableau
• Proficiency with other survey vendors recommended

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

REQ ID: 1273401549

About the Team

About the Role

What you’ll do

• GTM Systems & Technology. The full stack behind Sales & Success, Marketing Operations, and Revenue Architecture—Salesforce, Marketo, data pipelines, and the AI-powered GTM copilot we are building in-house
• Company OS & Technology. The internal operating system that connects every Mironeer to the tools, agents, and knowledge they need — including our Claude-based agent platform, identity systems, and enterprise tooling (Workday, Slack, etc.)
• AI enablement. You own the tooling decisions that determine whether Miro ships AI internally at startup speed or enterprise speed. We want startup speed
• Team. A combined organization of 45 engineers, product managers, and program managers across both pillars — structured as forward-deployed squads embedded in GTM and corporate functions

What you’ll need

• Technical depth and product sense — you can go deep on architecture decisions and come back up to frame them as product strategy
• A builder who inspires. You have shipped systems that teams talk about years later. You can paint a picture of what "great" looks like and pull people toward it
• Experience running a forward-deployed or embedded engineering model — you know how to place engineers inside business functions, maintain engineering quality without central gravity, and rotate teams across domains without losing context
• Change leadership at scale. You have led organizations through significant transformation — new tooling, new processes, new ways of working — and you brought people with you
• Experience leading 40–50+ people across engineering, product, and program management
• A bias toward action. We are moving fast and need someone who makes decisions with 70% of the information and iterates
• Deep conviction that AI changes everything about how internal systems should be designed and operated

What's in it for you

We want you to feel supported, connected, and ready to grow. Our global benefits package generally includes equity, a wellbeing benefit, a WFH equipment allowance, and an annual Learning & Development stipend. Join a diverse team where you can do your best work. Full benefits may differ per location. If you would like to learn more about location-specific benefits, please refer to our Global Miro benefits board.

#LI-BC3

About The Role

As .Monks continues to expand our Data & Digital Media capabilities, we are looking for a senior professional to support and grow our services in marketing analytics.

In this role, you will support both ongoing and new engagements by overseeing the delivery of actionable and impactful insights at the intersection of business, site, and paid media data. This position plays a key role in evolving our analytics capabilities while also working closely with client stakeholders to deliver high-quality, scalable solutions.

This is a highly hands-on, client-facing role, with a strong focus on building and maintaining data pipelines, enabling measurement frameworks, and supporting advanced analytics use cases.

Key Responsibilities

• Support analytics delivery across client engagements, ensuring high-quality outputs and actionable insights
• Design, build, and optimize data pipelines and workflows to support reporting, forecasting, and measurement initiatives
• Understand business needs and contribute to the development of cross-channel measurement frameworks
• Partner closely with client stakeholders to translate data into insights and recommendations
• Support test design and analysis to evaluate performance and identify opportunities for improvement
• Contribute to the development of new analytics approaches, tools, and processes
• Identify opportunities to improve efficiency, automation, and data operations
• Collaborate with cross-functional teams (media, strategy, analytics) to deliver integrated solutions

Primary Qualifications

• Bachelor’s or Master’s degree in a quantitative field (e.g., computer science, statistics, applied mathematics, economics, engineering) or equivalent experience
• Strong hands-on experience with SQL and data pipeline development (ETL/ELT)
• Experience working with large datasets in cloud environments (e.g., GCP, Databricks, or similar)
• Working knowledge of Python or similar languages for data processing or automation
• Familiarity with data visualization tools (e.g., Tableau, Datorama, or similar)
• Understanding of digital advertising measurement, reporting, and attribution methodologies
• Strong communication skills, with the ability to translate complex data into clear insights
• Ability to work independently and manage priorities in a fast-paced, ambiguous environment

Nice to Have

• Experience with Databricks, Spark, or distributed data processing frameworks
• Exposure to marketing mix modeling (MMM), forecasting, or advanced measurement techniques
• Experience working in consulting, agency, or embedded client environments
• Familiarity with AI/ML or emerging data applications

Additional Information

• This is an individual contributor role with significant ownership and client exposure
• Success in this role requires a proactive, self-starter mindset and strong stakeholder management skills
• This role supports a West Coast–based team, so candidates should be comfortable collaborating with PST stakeholders and flexing hours when needed (e.g., occasional late afternoon meetings)

At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.  

This role is subject to our Return to Office (RTO) policy. If you reside within a commutable distance of one of our office locations, you will be expected to work from the office a set number of days per week. The specific details, including the number of required office days, will be in accordance with the company’s then-current RTO policy, which is subject to change from time to time.

#LI-HYBRID

#LI-ZZ1

Title: Chief Information Security Officer (CISO)

Location: Austin, TX / Morristown, NJ (hybrid)

Reports To: Chief Technology Officer

About Hippo:

Hippo exists to protect the joy of homeownership. We believe that insurance should protect the things you treasure through an intuitive, modern experience. We provide tailored insurance coverage and preventative maintenance plans that keep you protected throughout your homeowner journey. We’ll also help you find coverage for everything life brings—from auto to flood—reimagining how you care for your home.

About the Role: 

Hippo is hiring a Chief Information Security Officer to lead cybersecurity strategy, security operations, and governance, risk, and compliance across the enterprise. You will be responsible for protecting Hippo's systems, data, and customers against an evolving threat landscape while ensuring the company meets its regulatory and compliance obligations as a publicly traded, multi-state insurance carrier. 

This role owns Hippo's SOC 2 program, leads security operations, and drives compliance with applicable state and federal cybersecurity regulations. You will also own identity governance, privacy and data protection strategy, and third-party risk management. This is a high-visibility leadership role that requires equal fluency in security engineering, regulatory compliance, and executive communication. 

About You: 

You are a seasoned cybersecurity leader who has built and run security programs at a publicly traded, regulated company. You have navigated regulatory examinations and SOX audit cycles, and you can move seamlessly between a technical incident response scenario and a board presentation. You think in terms of risk, you quantify what you can, and you communicate what you can't with intellectual honesty. 

You bring a builder's mindset to security. You understand that a great security program enables the business rather than slowing it down, and you know how to embed security into engineering culture without creating friction. Whether your background is in Insurtech, fintech, healthcare, or another heavily regulated sector, you understand multi-regulator environments and lead with clarity and high standards. 

What You'll Do: 

• Further develop and execute Hippo's enterprise cybersecurity strategy, aligned with business risk appetite and regulatory requirements
• Build and lead the security operations function, including threat detection, incident response, vulnerability management, and threat intelligence
• Own Hippo's SOC 2 program end-to-end, including control design, evidence collection, readiness assessments, and auditor engagement
• Lead the governance, risk, and compliance function, maintaining the cybersecurity risk register, policy framework, standards, and control library
• Drive compliance with applicable state and federal cybersecurity and insurance regulations
• Support SEC cybersecurity disclosure obligations in coordination with Legal and Finance
• Lead identity governance, including access certification, privileged access management policy, and separation of duties enforcement
• Own privacy and data protection compliance strategy, partnering with Legal on data handling, breach notification, and policyholder data protection
• Manage the third-party and vendor cybersecurity risk management program
• Report to the Board of Directors and Audit and Risk Committee on cybersecurity posture, risk trends, and incident activity
• Provide second-line oversight and security control design input to the SOX ITGC program
• Build and lead the security engineering function, owning secure design standards and threat modeling practices that ensure security is embedded from architecture through to deployment
• Build, mentor, and develop the cybersecurity team and drive a culture of security awareness across the organization
• Lead cybersecurity budgeting, roadmap planning, and technology rationalization
• Own disaster recovery and business continuity planning across the enterprise, working closely with the CIO and CTO to drive regular testing, validate recovery capabilities, and ensure organizational resilience is aligned to business and cybersecurity risk
• Own the enterprise Incident Response Plan, lead the Security Incident Response Team (SIRT) across the full incident lifecycle from detection and containment through recovery and post-incident review, define severity classifications and escalation paths, and ensure cross-functional stakeholders (Legal, Compliance, IT, and executive leadership) are engaged appropriately during active incidents
• Drive a continuous improvement program with outcomes tracked to remediation and reported to the Audit and Risk Committee
• Lead the enterprise response to supply chain vulnerabilities across open-source dependencies and third-party service providers, owning risk assessment, mitigation, and remediation 

Must Haves: 

• 10+ years of progressive experience in cybersecurity or information security, with at least 5 years in a senior security leadership role (CISO, VP of Security, or Head of Information Security)
• Experience at a regulated, publicly traded company, including direct involvement in SOX audit cycles
• Track record of building and managing security operations capabilities
• End-to-end ownership of a SOC 2 program, including control design, audit preparation, and remediation
• Experience with cybersecurity regulations in a regulated industry (financial services, insurance, or healthcare preferred)
• Strong GRC background with experience maintaining risk registers, policy frameworks, and control libraries
• Proven ability to present cybersecurity risk and incident information to boards of directors, audit committees, and regulators
• Experience managing third-party and vendor cybersecurity risk programs
• Excellent cross-functional leadership skills with a track record of partnering effectively with Legal, Finance, Internal Audit, and Engineering 

Nice to Have: 

• Experience in the insurance, Insurtech, or fintech industry
• Familiarity with privacy frameworks and data protection requirements (CCPA/CPRA, state breach notification laws)
• Relevant certifications such as CISSP, CISM, CRISC, or CISA
• Background in security engineering or application security in addition to GRC and security operations
• Experience managing cybersecurity programs across multi-entity corporate structures1 

Benefits and Perks:

Hippo treats its team members with the same level of dedication and care as we do our customers, which is why we’re fortunate to provide all of our Hippos with: 

• Healthy Hippos Benefits - Multiple medical plans to choose from and 100% employer covered dental & vision plans for our team members and their families. We also offer a 401(k)-retirement plan, short & long-term disability, employer-paid life insurance, Flexible Spending Accounts (FSA) for health and dependent care, and an Employee Assistance Program (EAP) 
• Equity - This position is eligible for equity compensation  
• Training and Career Growth - Training and internal career growth opportunities 
• Flexible Time Off - You know when and how you should recharge 
• Little Hippos Program - We offer 12 weeks of parental leave for primary and secondary caregivers 
• Hippo Habitat - Snacks and drinks available and catered lunches for onsite employees
  

Hippo is an equal opportunity employer, and we are committed to building a team culture that celebrates diversity and inclusion. Hippo’s applicants are considered solely based on their qualifications, without regard to an applicant’s disability or need for accommodation. Any Hippo applicant who requires reasonable accommodations during the application process should contact the Hippo’s People Team to make the need for an accommodation known. 

Title: Chief Information Security Officer (CISO)

Location: Morristown, NJ / Austin, TX(hybrid)

Reports To: Chief Technology Officer

About Hippo:

Hippo exists to protect the joy of homeownership. We believe that insurance should protect the things you treasure through an intuitive, modern experience. We provide tailored insurance coverage and preventative maintenance plans that keep you protected throughout your homeowner journey. We’ll also help you find coverage for everything life brings—from auto to flood—reimagining how you care for your home.

About the Role: 

Hippo is hiring a Chief Information Security Officer to lead cybersecurity strategy, security operations, and governance, risk, and compliance across the enterprise. You will be responsible for protecting Hippo's systems, data, and customers against an evolving threat landscape while ensuring the company meets its regulatory and compliance obligations as a publicly traded, multi-state insurance carrier. 

This role owns Hippo's SOC 2 program, leads security operations, and drives compliance with applicable state and federal cybersecurity regulations. You will also own identity governance, privacy and data protection strategy, and third-party risk management. This is a high-visibility leadership role that requires equal fluency in security engineering, regulatory compliance, and executive communication. 

About You: 

You are a seasoned cybersecurity leader who has built and run security programs at a publicly traded, regulated company. You have navigated regulatory examinations and SOX audit cycles, and you can move seamlessly between a technical incident response scenario and a board presentation. You think in terms of risk, you quantify what you can, and you communicate what you can't with intellectual honesty. 

You bring a builder's mindset to security. You understand that a great security program enables the business rather than slowing it down, and you know how to embed security into engineering culture without creating friction. Whether your background is in Insurtech, fintech, healthcare, or another heavily regulated sector, you understand multi-regulator environments and lead with clarity and high standards. 

What You'll Do: 

• Further develop and execute Hippo's enterprise cybersecurity strategy, aligned with business risk appetite and regulatory requirements
• Build and lead the security operations function, including threat detection, incident response, vulnerability management, and threat intelligence
• Own Hippo's SOC 2 program end-to-end, including control design, evidence collection, readiness assessments, and auditor engagement
• Lead the governance, risk, and compliance function, maintaining the cybersecurity risk register, policy framework, standards, and control library
• Drive compliance with applicable state and federal cybersecurity and insurance regulations
• Support SEC cybersecurity disclosure obligations in coordination with Legal and Finance
• Lead identity governance, including access certification, privileged access management policy, and separation of duties enforcement
• Own privacy and data protection compliance strategy, partnering with Legal on data handling, breach notification, and policyholder data protection
• Manage the third-party and vendor cybersecurity risk management program
• Report to the Board of Directors and Audit and Risk Committee on cybersecurity posture, risk trends, and incident activity
• Provide second-line oversight and security control design input to the SOX ITGC program
• Build and lead the security engineering function, owning secure design standards and threat modeling practices that ensure security is embedded from architecture through to deployment
• Build, mentor, and develop the cybersecurity team and drive a culture of security awareness across the organization
• Lead cybersecurity budgeting, roadmap planning, and technology rationalization
• Own disaster recovery and business continuity planning across the enterprise, working closely with the CIO and CTO to drive regular testing, validate recovery capabilities, and ensure organizational resilience is aligned to business and cybersecurity risk
• Own the enterprise Incident Response Plan, lead the Security Incident Response Team (SIRT) across the full incident lifecycle from detection and containment through recovery and post-incident review, define severity classifications and escalation paths, and ensure cross-functional stakeholders (Legal, Compliance, IT, and executive leadership) are engaged appropriately during active incidents
• Drive a continuous improvement program with outcomes tracked to remediation and reported to the Audit and Risk Committee
• Lead the enterprise response to supply chain vulnerabilities across open-source dependencies and third-party service providers, owning risk assessment, mitigation, and remediation 

Must Haves: 

• 10+ years of progressive experience in cybersecurity or information security, with at least 5 years in a senior security leadership role (CISO, VP of Security, or Head of Information Security)
• Experience at a regulated, publicly traded company, including direct involvement in SOX audit cycles
• Track record of building and managing security operations capabilities
• End-to-end ownership of a SOC 2 program, including control design, audit preparation, and remediation
• Experience with cybersecurity regulations in a regulated industry (financial services, insurance, or healthcare preferred)
• Strong GRC background with experience maintaining risk registers, policy frameworks, and control libraries
• Proven ability to present cybersecurity risk and incident information to boards of directors, audit committees, and regulators
• Experience managing third-party and vendor cybersecurity risk programs
• Excellent cross-functional leadership skills with a track record of partnering effectively with Legal, Finance, Internal Audit, and Engineering 

Nice to Have: 

• Experience in the insurance, Insurtech, or fintech industry
• Familiarity with privacy frameworks and data protection requirements (CCPA/CPRA, state breach notification laws)
• Relevant certifications such as CISSP, CISM, CRISC, or CISA
• Background in security engineering or application security in addition to GRC and security operations
• Experience managing cybersecurity programs across multi-entity corporate structures1 

Benefits and Perks:

Hippo treats its team members with the same level of dedication and care as we do our customers, which is why we’re fortunate to provide all of our Hippos with: 

• Healthy Hippos Benefits - Multiple medical plans to choose from and 100% employer covered dental & vision plans for our team members and their families. We also offer a 401(k)-retirement plan, short & long-term disability, employer-paid life insurance, Flexible Spending Accounts (FSA) for health and dependent care, and an Employee Assistance Program (EAP) 
• Equity - This position is eligible for equity compensation  
• Training and Career Growth - Training and internal career growth opportunities 
• Flexible Time Off - You know when and how you should recharge 
• Little Hippos Program - We offer 12 weeks of parental leave for primary and secondary caregivers 
• Hippo Habitat - Snacks and drinks available and catered lunches for onsite employees
  

The Morristown, NJ base pay range for this role is $237,500 - $390,000. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, location, business needs and market demands.

Hippo is an equal opportunity employer, and we are committed to building a team culture that celebrates diversity and inclusion. Hippo’s applicants are considered solely based on their qualifications, without regard to an applicant’s disability or need for accommodation. Any Hippo applicant who requires reasonable accommodations during the application process should contact the Hippo’s People Team to make the need for an accommodation known. 

Team Description:

At Neuralink, we're engineering the future of automated surgeries, focusing on the safe and effective implantation of our groundbreaking Neuralink implant. Our team — a cross-functional mix of roboticists, engineers from various disciplines, and medical professionals — collaborates on developing a surgical flow from first principles. In this critical role, you'll straddle the cutting-edge worlds of robotics, software, and neuroscience.

Job Description and Responsibilities:

This is a new and foundational role for our team that will allow you to create new embedded systems from scratch while challenging and refining the old. As a Firmware Engineer, your responsibilities will encompass:

• Developing and optimizing embedded software for robotic surgery applications
• Streamlining our codebase by refining and, when necessary, retiring legacy embedded software
• Rigorous testing and validation of software systems to meet the highest safety and reliability standards
• Participating in peer code reviews
• Writing drivers and applications to extend the functionality of our robotics
• Specifying hardware and software choices as we develop future hardware platforms
• Sharing your findings and progress with the team in a collaborative environment

Required Qualifications:

• Demonstrated track record of success in a science or engineering field, evidenced by outstanding projects, innovations, or advanced problem-solving
• Proven experience in software development, preferably with exposure to embedded systems

Preferred Qualifications:

Embedded Software Development:

• 2+ years of experience with embedded systems
• Proficient with common communication protocols (SPI, UART, I2C, etc.)
• Comfortable/working knowledge of more advanced protocols such as PCIe, MIPI CSI/DSI, USB, and 802.3
• Proficient in at least one embedded language such as C, C++, or Rust
• Proficient with embedded toolchains and workflow
• Experience building and bringing-up MCUs or FPGAs
• Experience with embedded stacks for ARM cores
• Experience developing on embedded Linux platforms
• Experience with embedded Linux kernel configuration and device tree setup
• Experience with kernel driver development
• Experience with ARM bootloaders
• Experience coding drivers for actuators and sensors
• Experience with high speed data acquisition and processing

Electrical Engineering:

• Foundational understanding of MCU architectures and peripheral integration
• Solid knowledge in electrical engineering and DSP
• Ability to interpret electrical schematics and datasheets, along with proficiency in using lab equipment

Team Description:

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

Job Description and Responsibilities:

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

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

Required Qualifications: 

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

Preferred Qualifications:

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

Expected Compensation:

The anticipated hourly rate for this position is listed below.

California Hourly Flat Rate:
$35/Hr USD

Team Description: 

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

Job Description & Responsibilities: 

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

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

Required Qualifications:

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

Preferred Qualifications: 

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

Team Description:

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

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

Job Description and Responsibilities:

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

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

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

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

Required Qualifications: 

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

Preferred Qualifications:

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

Team Description:

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

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

Job Description and Responsibilities:

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

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

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

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

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

Required Qualifications: 

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

Preferred Qualifications:

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

Team Description:

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

Job Responsibilities:

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

Note: The team is hiring electrical engineers at all levels, both junior and senior. What matters most is evidence of exceptional abilities and a drive to succeed.

Required Qualifications:

• Bachelor’s degree in Electrical Engineering or equivalent experience
• Strong electrical engineering and physics fundamentals, with demonstrated ability to apply them under real-world constraints (noise, power, size, non-ideal interfaces)
• Proven ability to independently design, bring up, debug, and verify complex PCBAs operating under tight power and size constraints, including mixed-signal circuits, sensitive sensor interfaces, and embedded compute
• Experience debugging systems where issues span multiple domains (analog, digital, RF, power) and root causes are not immediately obvious
• Deep familiarity with lab instrumentation (oscilloscopes, power supplies, spectrum analyzers, VNAs) and the ability to extract meaningful insight from imperfect measurements

Preferred Qualifications:

• Experience shipping highly integrated, size- and power-constrained devices (e.g., wearables, implantables, compact wireless systems)
• Experience with wireless systems and RF design tradeoffs (BLE, Wi-Fi, antenna design, coexistence)
• Experience supporting hardware through manufacturing at scale, including yield, test, and failure analysis
• Experience in safety-critical or regulated environments, where reliability and risk must be explicitly managed
• Familiarity with mechanical integration constraints (CAD tools, packaging, stack-ups)
• Experience with electromagnetic simulation and antenna validation (FEM/FDTD or equivalent)

Job Summary

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

Key Responsibilities

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

Required Qualifications

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

Preferred Qualifications

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

Base Salary Range:

 $121,000 - $230,500

Team Description:

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

Job Description and Responsibilities:

We are looking for experienced and hands-on engineers with a creative and initiative mindset, who are interested in exploring the next-generation chip design with advanced architectures and hardware accelerators with a goal of enhancing the energy efficiency, information entropy, and scalability of our wireless brain-computer interfaces towards the physical limit of silicon technology. The ideal candidates are energetic people who get excited about building things, are highly analytical, and enjoy tackling new problems. You will have the opportunity to collaborate closely with chip designers, electrical engineers, algorithms engineers, and software engineers on a small, agile team. As a Digital IC Design Engineer Intern, your responsibilities will include:

• Micro-architecture design and RTL implementation of: 
• Low-power digital signal processors
• Low-power general-purpose hardware accelerators
• Low-power graphics processing units
• Low-power radio MAC/PHY
• Low-power serial link MAC/PHY
• Design and implementation of hardware/software interface with firmware engineers
• Application-specific architecture optimization including:
• Complex system modeling for energy and performance benchmarks
• Workload analysis and modeling
• Leveraging architecture-level design trade-offs with process technology and workload type
• Balancing energy efficiency and performance under manufacturing process variation 
• Complex system-on-chip verification
• Behavioral level modeling and model equivalence check
• FPGA emulation
• Analog mixed-signal co-simulation
• Design for testability 
• Collaboration on silicon bring-up tests with silicon validation engineers 

Required Qualifications:

• Evidence of exceptional ability in electrical engineering, computer science, or computer engineering
• 2+ years of experience in digital design
• Proficient in SystemVerilog, C/C++, Python
• Experience working on complex digital systems from architecture, microarchitecture, and RTL, using industry standard tools
• Experience in designing digital signal processing pipelines, from algorithm to RTL

Preferred Qualifications:

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

Expected Compensation:

The anticipated hourly rate for this position is listed below.

California Hourly Flat Rate:
$35/Hr USD

Team Description:

Join the Brain Interfaces Embedded Systems Team and be part of an elite team of engineers working on high-performance, safety-critical embedded systems for the next-generation brain-computer interfaces. You will have the opportunity to work closely with chip designers, electrical engineers, and software engineers on a small, fast-moving team.

Job Description and Responsibilities: 

We are looking for experienced, hands-on engineers who are interested in exploring what's possible in highly powered and latency-constrained environments. Firmware is the kernel of operation for the implant, and you have the chance to define and implement features that have a significant impact on the product’s capabilities. As an Embedded Software Engineer, you will be expected to:

• Own complex challenges from definition to solution
• Utilize your ability to work cross functionally to deliver safety critical systems while considering power, radio, and thermal requirements
• Take ownership of products and/or core features; from planning and design to execution and testing
• Build on your fundamental understanding of hardware while contributing to bare-metal firmware
• Embrace a fast-paced iterative environment that prioritizes shipping manufacturable solutions 

Note: The team is hiring embedded engineers at all levels, both junior and senior. What matters most is evidence of exceptional abilities and a drive to succeed.

Required Qualifications: 

• Bachelor’s degree in computer science, electrical engineering, related field, or equivalent experience 
• 1+ years of experience with embedded systems (including internships)
• Proficient in embedded C or Rust
• Ability to design bare-metal embedded systems in highly constrained environments
• Strong Electrical Engineering fundamentals 
• Signal processing fundamentals 
• You find enormous challenges exciting and enjoy discovering and defining problems as much as solving them
• You deliver. You may enjoy thoughtful conversations about problems and perfecting design, but in the end, you know that delivering reliable manufacturable solutions matters
• You are a cross-disciplinary team member. You are excited to work with and learn from chip designers to neuroscientists

Preferred Qualifications: 

• Experience with embedded stacks for ARM cores
• Experience with safety-critical systems
• Experience with FPGA development and testing
• Experience with RF, BLE, TCP/IP stacks from a practical embedded perspective
• Prior work or experience with applied cryptography and embedded systems security

Team Description: 

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

Job Description & Responsibilities: 

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

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

Required Qualifications:

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

Preferred Qualifications: 

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

Senior Security Engineer

Our Engineering Standards at Karbon:

Balance Speed and Quality

Engineers are expected to balance delivery speed with a strong commitment to quality, meeting agreed timelines while producing reliable, maintainable, and well-tested solutions. Sound judgment in making trade-offs between velocity and long-term sustainability is essential.

Collaborate Effectively

Engineering is collaborative by default. Team members are expected to contribute constructively in design discussions, reviews, and planning, communicate clearly about progress and risks, and support shared team outcomes in both hybrid and distributed environments.

Build and Maintain Systems

Engineers are responsible for building new capabilities while maintaining and improving existing systems. This includes designing scalable solutions, reducing technical debt, supporting operational stability, and contributing to continuous improvement.

Operate with Autonomy

A high degree of autonomy is expected. Given clear objectives, engineers should independently translate problems into actionable technical approaches, proactively identify improvements, and continuously expand relevant technical expertise.

Ownership and Accountability

Ownership is fundamental. Engineers are accountable for the quality, performance, and customer impact of their work from design through post-release support, and are expected to follow through on commitments.

AI-Enabled Engineering

AI is reshaping how software is built, and we are committed to leveraging it as a force multiplier for creativity, impact, and capability. Engineers are expected to confidently apply strong technical fundamentals while embracing AI tools and approaches to enhance productivity, problem-solving, and innovation. Curiosity, adaptability, and enthusiasm for integrating AI into meaningful product development are essential.

Contribute to Team Culture

Engineers contribute positively to a culture of professionalism, transparency, low bureaucracy, and mutual respect, strengthening team performance through authenticity, curiosity, and collaboration.

About the Role! 

Seeking a development & cloud focused Senior Security Engineer to join our expanding security team.

The ideal candidate will have passion for AppSec, Cloud and AI. They will be a skilled communicator and relationship builder capable of promoting and building security practices across the organization and into our development processes.

AI is reshaping practices across the board and at Karbon we’re fully committed. We don’t see AI as a replacement but as a force multiplier. We’re looking for Security Engineers who are confident in network & security fundamentals, driven to grow, and excited by the challenges and opportunities AI brings.

What You’ll Own:

• Partner with different areas within Karbon - You will make sure security is embedded from the start from feature design and development to participating in design reviews and threat modelling.
• Balance Security and Delivery - You know how to balance delivery needs with security and can communicate security risks and issues to non technical stakeholders. You understand when it's important to push back, when to compromise and how to work with delivery teams to reach a great outcome.
• You keep up to date on the latest technologies and approaches - You are excited by the new developments such as AI bring to security but also understand the importance of security foundational practices such as good account hygiene, least privilege, attack surface reduction and MFA.
• Identify and assess security risks introduced by AI tools - You’ll assist with reviewing the risks of AI tooling usage & Integration and AI-generated code.
• Apply AI-assisted tooling to accelerate security work - you understand the impact AI can have and utilize it across many areas including triage, threat detection, code review, and documentation.
• Flexibility and confidence to work across multiple security domains - We’re a small team responsible for Security at a fast moving company and you’ll get exposure to many different security domains; you could be assisting with refining and investigating corporate IT security processes in the morning, reviewing a cloud hosted system after lunch and then tweaking detection rules!
• Work effectively as part of a team - Security is a team sport and you understand the need to build relationships and trust across the organization to enhance Karbon’s security posture. You are happy to answer questions and offer advice to teams that will reach out for your assistance.
• Own your work - You take pride in your work, feeling a deep sense of responsibility for the products we develop and ensuring we keep our customers' valuable data secure. This sense of ownership is paramount, and you share this commitment.
• Bring your passion and personality - Your creativity, curiosity, and authentic self make the team stronger. If you've worked in highly political environments, you'll find our culture, free from office politics and valuing openness and authenticity, a refreshing change.
• Help us measure improvement and steer our roadmap - Contribute to Security Metrics so we can track progress and feedback into our roadmap.

What Sets You Apart

4+ years experience in a security or development role across most of the following:

• Collaborating with teams to review designs & implementations for security issues and embedding good security practices across software development
• Triaging issues and reports, assisting teams to remedy items and testing fixes
• Working with external penetration test companies to validate and prioritize findings
• Conducting risk and vulnerability assessments of web applications and APIs and third party suppliers and integrations
• Configuring and tuning SAST, SCA and DAST Tooling
• Working with build/deployment pipelines to incorporate security tooling (Github Actions or Azure Devops YAML based pipelines)
• Assisting with implementing security focused alerting and detections and automations
• Conducting and facilitating organizational & developer focused security training
• Assisting with operational security items such as EDR alerts and MDM
• Contributing to our security roadmap

In addition you’ll need:

• Strong communication skills (spoken and written) 
• Some of the following Languages/Frameworks: Microsoft .NET/C#, JavaScript (we use React and EmberJS frameworks and, Python)
• At least one cloud platform: Azure, AWS or GCP (we use Azure predominantly)
• Working knowledge of PowerShell or Bash and Python
• Working knowledge of at least one AI development tool e.g. Claude Code, GitHub Co-Pilot etc
• Portswigger Burp or similar
• Certifications such as Offsec OSCP & AWAE, GIAC, Burp Practitioner, PJPT, Microsoft/AWS development and cloud related are nice to have
• Experience with securing AI applications, systems and AI tooling would be highly regarded

Why Work at Karbon?

• Gain global experience across Australia, New Zealand, UK, and Canada
• Strong benefits package including:
• Flexible Time Off with an encouraged 4 weeks use per year
• Company paid medical for you and eligible spouse/partner and dependents
• Paid dental and vision and eligible spouse/partner and dependents
• 401(k) with company matching
• Flexible Spending Account
• Up to 8 weeks paid parental leave
• Work-from-home stipend
• Work with (and learn from) an experienced, high-performing team
• A collaborative, team-oriented culture that embraces diversity, invests in development and provides consistent feedback
• Be part of a fast-growing company that firmly believes in promoting high performers from within

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

RESPONSIBILITIES

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

MINIMUM QUALIFICATIONS

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

PREFERRED QUALIFICATIONS

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

About us 

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

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

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

Job Summary 

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

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

The Team 

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

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

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

Responsibilities and Duties 

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

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

• Define threat models and security requirements for firmware components. 

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

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

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

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

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

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

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

Candidate Profile 

Essential 

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

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

• Strong programming experience in C and C++. 

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

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

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

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

Desirable 

• Programming experience in Rust. 

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

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

• Knowledge of secure silicon architectures and trusted execution environments. 

• Experience contributing to open-source firmware security projects. 

Benefits:

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

About us

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute.

It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.

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

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

Job Summary

We are seeking a principled and dynamic Lead Systems and Validation Engineer to drive end-to-end system validation for AI compute blade and rack platforms. This high-visibility role focuses on first silicon bring-up, system enablement, and post-silicon validation across hardware, firmware, and software domains. You will lead validation strategy, execution, and debug while collaborating closely with cross-functional engineering teams to deliver high-quality, industry-leading AI systems.

The Team

The Systems Validation team is responsible for enabling and validating Graphcore’s AI compute platforms from first silicon through production. The team works closely with system architects, firmware, silicon, and infrastructure teams to ensure system readiness, scalability, and quality at rack level.

Responsibilities and Duties

• Lead system enablement including first silicon bring-up and integration of firmware and platform components to meet system architecture specifications.
• Develop validation methodologies, lab hardware infrastructure, system software capabilities, and debug tools for blade and rack-level validation.
• Triage and debug issues across bring-up, post-silicon validation, and production phases ensuring timely resolution with high quality.
• Define and own validation test plans, develop test cases, and drive execution across domains such as CPU, GPU, memory, HBM, and IO.
• Drive innovation in validation through development of tools, scripts, and improved methodologies to enhance coverage, efficiency, and quality.
• Enable comprehensive system verification by integrating storage, networking, and infrastructure capabilities within lab environments.  
• Collaborate with multi-functional teams including system architecture, embedded software, hardware build, and ODM partners.    
• Provide technical leadership and mentorship, fostering engineering perfection and continuous improvement.

Candidate Profile

Essential:

• Strong analytical and problem-solving skills with high attention to detail.
• Extensive experience in system validation encompassing initial silicon integration and HW/FW/SW validation.  
• Strong understanding of industry-standard interfaces such as PCIe and CXL.
• Experience enabling storage and networking systems in lab environments for end-to-end validation.
• Deep knowledge of ARM or x86 architectures, SoC design, memory, RAS, and power management.
• Experience with system-level debug, operating systems, BIOS, and device drivers.
• Strong experience with Linux, Windows, and virtualization technologies (VMware, KVM, Hyper-V).
• Excellent communication, organization, and cross-functional collaboration skills.
• Ability to lead multiple workstreams and deliver under tight timelines.
• Experience in technical program management and driving validation initiatives.

Desirable:

• Master’s or PhD in Electrical Engineering, Computer Engineering, or related field.
• Demonstrated ability working on complex system validation and debug in data center or rack-scale environments.
• Experience designing or validating AI/ML rack-scale systems.
• Knowledge of hardware development best practices and industry standards.
• Familiarity with emerging AI and data center infrastructure technologies.
• Experience collaborating with ODM partners globally.

About us

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute.

It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.

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

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

Job Summary

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

The Team

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

Responsibilities and Duties

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

Candidate Profile

Essential:

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

Desirable:

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

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 Compliance Manager to define, implement, and scale security and compliance frameworks spanning our global lab environments. This role will focus on securing sensitive hardware, enforcing access controls, and ensuring engineering data and infrastructure meet required compliance standards.

You will play a meaningful role in enabling secure AI hardware development by establishing robust processes around lab zoning, asset tracking, and network segmentation while partnering with engineering teams across multiple locations.

The Team

You will be part of a cross-functional security and infrastructure team supporting Graphcore’s international engineering centers, including the new AI Engineering Campus in Austin.

The team works closely with hardware engineers, IT, and security stakeholders to ensure compliance controls are embedded into lab environments and operational workflows.

Responsibilities and Duties

• Define and implement physical access controls, including lab zoning and restricted areas
• Ensure sensitive hardware is secured and not exposed within lab environments
• Enforce network division and permission management across mixed infrastructure environments
• Coordinate hardware asset monitoring, inventory oversight, and chain-of-custody activities
• Support secure lab bring-up and infrastructure deployment activities
• Implement and scale compliance controls across global engineering labs
• Partner with engineering departments to ensure secure handling of engineering data through approved systems
• Supervise and improve compliance with internal security policies and external standards
• Contribute to the development of secure infrastructure practices within AI and hardware environments

Candidate Profile

Essential:

• Hands-on experience implementing physical access control and lab zoning
• Having worked in labs, data centers, or hardware engineering environments
• Practical experience with network segmentation and access control
• Experience running hardware asset tracking, inventory, and custody
• Experience working in secure infrastructure or lab bring-up environments
• Strong understanding of operational security controls in technical environments

Desirable:

• Exposure to export-controlled environments
• Experience in AI, HPC, semiconductor, or hardware validation labs
• Familiarity with BMC / out-of-band (OOB) networks and rack-level infrastructure
• Solid understanding of ISO 27001, SOC 2, or NIST frameworks (practical application preferred)

Senior Post Silicon Validation Engineer (Bringup)

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

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

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

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

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

Responsibilities and Duties 

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

Essential skills: 

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

  Desirable skills: 

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

Benefits:

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

About us

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

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

Job Summary

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

The Team

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

Responsibilities and Duties

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

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

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

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

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

- Optimize test execution efficiency and improve validation methodologies.

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

Candidate Profile

Essential:

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

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

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

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

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

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

- Excellent communication and collaboration skills.

Desirable:

- Experience with test orchestration systems or automation infrastructure.

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

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

- Experience integrating automated testing into manufacturing or deployment systems.

Senior Embedded SW/FW Engineer (Bringup)

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

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

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

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

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

Responsibilities and Duties 

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

Essential skills: 

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

  Desirable skills: 

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

Benefits:

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

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. 

JOB SUMMARY

As a Senior Technical Product Manager - Software Platform, you will focus on driving the product vision, ensuring seamless execution across the complex hardware/software divide, and translating market demands into user oriented, executable product roadmaps.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES

• Own and maintain the software platforms roadmap: scope, sequencing, and feature priorities.
• Drive technical definitions to focus on performance and fleet-wide observability.
• Support selection of data protocols and task prioritization methodologies on embedded systems.
• Define and prioritize use cases based on business impact, feasibility, and customer needs.
• Ensure that product development efforts align with real-world economic value for users.
• Synthesize insights from user research, customer meetings, usage data, and sales feedback into a strategy that delivers business objectives and customer benefits.
• Translate product strategy into actionable engineering requirements using PRDs, user stories, and visual workflows to ensure cross-functional alignment.
• Support product marketing initiatives, partner relationships, and other opportunities to accelerate the adoption of your products.

SKILLS AND REQUIREMENTS

• Demonstrated experience in embedded system software development.
• Subject matter expertise in high performance middleware enabling the processing and manipulation of sensor data. 
• Analytical skills enabling performance tracking and data-driven decision-making.
• Experience managing messaging protocols supporting sensor fusion on embedded platforms.
• Experience with software running on real-time operations systems.
• Excellent communication skills, both verbal and written, to translate technical insights into business impact.
• You make decisions in uncertainty, prioritizing velocity over perfection
• You prioritize user feedback, promoting that voice to internal teams.

• NICE TO HAVE:

  • Experience with autonomous robots or autonomous vehicles.
  • Background in controls, sensor fusion, video analytics.
  • Background implementing or developing AI/ML on hardware.
  • Experience in working with customers in light and heavy duty industrial environments
  • Experience with functional safety on autonomous systems.

EDUCATION and/or EXPERIENCE

• 7+ years of experience in product management, or engineering roles.

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

As a Senior Technical Product Manager - Software Platform, you will focus on driving the product vision, ensuring seamless execution across the complex hardware/software divide, and translating market demands into user oriented, executable product roadmaps.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES

• Own and maintain the software platforms roadmap: scope, sequencing, and feature priorities.
• Drive technical definitions to focus on performance and fleet-wide observability.
• Support selection of data protocols and task prioritization methodologies on embedded systems.
• Define and prioritize use cases based on business impact, feasibility, and customer needs.
• Ensure that product development efforts align with real-world economic value for users.
• Synthesize insights from user research, customer meetings, usage data, and sales feedback into a strategy that delivers business objectives and customer benefits.
• Translate product strategy into actionable engineering requirements using PRDs, user stories, and visual workflows to ensure cross-functional alignment.
• Support product marketing initiatives, partner relationships, and other opportunities to accelerate the adoption of your products.

SKILLS AND REQUIREMENTS

• Demonstrated experience in embedded system software development.
• Subject matter expertise in high performance middleware enabling the processing and manipulation of sensor data. 
• Analytical skills enabling performance tracking and data-driven decision-making.
• Experience managing messaging protocols supporting sensor fusion on embedded platforms.
• Experience with software running on real-time operations systems.
• Excellent communication skills, both verbal and written, to translate technical insights into business impact.
• You make decisions in uncertainty, prioritizing velocity over perfection
• You prioritize user feedback, promoting that voice to internal teams.

• NICE TO HAVE:

  • Experience with autonomous robots or autonomous vehicles.
  • Background in controls, sensor fusion, video analytics.
  • Background implementing or developing AI/ML on hardware.
  • Experience in working with customers in light and heavy duty industrial environments
  • Experience with functional safety on autonomous systems.

EDUCATION and/or EXPERIENCE

• 7+ years of experience in product management, or engineering roles.

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 

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

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

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

Who You Are

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

What We Need

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

What You Will Learn

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

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

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

JOB SUMMARY

We are seeking a highly skilled and experienced Staff Compute Engineer to lead the design and implementation of the next-generation compute solution for our humanoid robot platform. In this pivotal role, you will be the technical lead responsible for architecting a compute solution that meets our most demanding requirements for real-time performance, sensor bandwidth, and, most critically, functional safety.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES

• Lead the architectural design of the robot's next-generation compute solution, from high-level system architecture to component-level selection.
• Define and validate compute requirements based on the needs of complex robotics algorithms, including motion control, perception, and AI tasks.
• Develop a robust and scalable solution capable of handling high-bandwidth data from a wide array of sensors
• Design for functional safety from the ground up, implementing redundant systems, fail-safe mechanisms, and diagnostic features to meet or exceed industry safety standards.
• Collaborate closely with cross-functional teams, including software, electrical, and systems engineers, to ensure seamless integration of the compute solution with the overall robot platform.
• Conduct performance benchmarking and power analysis to optimize the compute stack for maximum efficiency and thermal management.
• Design, simulate, implement, and test multi-layer high-speed PCBs for integration of advanced System-on-Modules (SoMs) like NVIDIA Orin.
• Lead efforts in high-speed signal integrity (SI) and power integrity (PI) analysis, modeling, and validation.
• Knowledge of compute and processor power requirements, power trees, PMICs, and power sequencing.
• Drive the selection and qualification of critical components, including SoMs, memory, storage (NVMe/eMMC), high-speed interconnects, and peripheral interfaces.
• Develop comprehensive validation and test plans (DVT/PVT), design necessary test fixtures, and execute rigorous testing to confirm compliance with performance specifications and regulatory standards (e.g., FCC, CE).
• Stay abreast of the latest advancements in embedded systems, real-time operating systems (RTOS), and robotics compute hardware to inform future design decisions.
• Own the entire lifecycle of complex compute hardware systems, from initial concept and architecture definition through design, prototyping, validation, production release, and ongoing support.
• Act as a technical leader and mentor within the electrical engineering team, guiding junior and senior engineers on best practices for complex hardware design and troubleshooting.

SKILLS AND REQUIREMENTS

• Proven experience in architecting and shipping complex, high-performance compute solutions for robotics, autonomous systems, or similar applications.
• Deep understanding of functional safety principles and standards (e.g. IEC 61508) and experience with safety-critical design.
• Expertise in a variety of compute platforms, including but not limited to, NVIDIA Jetson, Intel, and other high-performance embedded systems.
• Strong knowledge of real-time operating systems (RTOS), multi-core processing, and communication protocols (e.g., Ethernet, CAN).
• Experience with sensor bandwidth management and high-speed data transfer.
• Excellent problem-solving skills and a collaborative approach to engineering.
• Experience with humanoid robotics is a significant plus.

EDUCATION and/or EXPERIENCE

• Bachelor’s degree in Electrical Engineering, Computer Engineering, or a related field; Master's or Ph.D. preferred.
• 10+ years of experience in embedded systems or robotics compute design.

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

About us

Fospha is dedicated to building the world's most powerful measurement solution for online retail. For over a decade, we've helped teams make smarter decisions with full-funnel marketing insights, forecasting, and optimisation. With Fospha, every team moves faster and grows smarter.

Trusted by leading brands across three continents, including Huel, Oh Polly, and Represent, Fospha manages $4 billion in annual ad spend.

We're scaling fast across London, Mumbai, and Austin – and we're now looking for two Marketing Science Leads to join our Customer Success team to support the growth of the business from all things measurement! Ready to make your mark? Let’s go! 🚀  

The Role:

Fospha is pioneering the future of marketing intelligence, moving enterprise retailers beyond the broken world of click-based attribution. Our mission is to transform complex data into the single, most trusted source of truth for CMOs and CFOs managing high-stakes budgets.

As a Marketing Science Lead, your focus will be acting as the technical authority for our Enterprise tier, serving as a dedicated conduit between our Customers, Customer Teams, Data Science, and Product teams.

We are looking for a rigorous, analytical practitioner ready to operationalize advanced modelling into tangible business decisions, driving sustainable growth for clients like Huel, Dyson, and Gymshark. You will operate as a post-sales, value-delivery engine embedded directly within the Customer Success department.  

Key Responsibilities

• Client-Facing Support: Proactively and reactively support Customer Success and Account Management teams on model trust and methodology escalations, directly combating objections related to competitors like Triple Whale or Northbeam.
• Incrementality & Learning Agendas: Act as the primary Marketing Science Strategist, designing first-party incrementality tests, calibrating models, and building structured learning agendas for clients.
• R&D "Mouthpiece": Systematically capture and triage field feedback and methodological objections, feeding structured intelligence back to our Product and Data Science teams.
• Collateral & Knowledge Creation: Build the definitive technical collateral, Academy content, and internal training to raise the baseline data literacy of our entire Go-To-Market organization.

What are we looking for? We hire for potential - you should apply if you:

• Marketing Science Experience: 3-5 years of experience in marketing science, data analytics, or technical account management.
• Measurement & AdTech Knowledge: Deep understanding of Media Mix Modeling (MMM), Multi-Touch Attribution (MTA), incrementality testing, and the broader AdTech ecosystem, including Meta, Google, and TikTok.
• Commercial Translation: The rare ability to translate complex data science and Bayesian models into highly digestible commercial insights for non-technical executives.
• Communication Skills: Excellent verbal and written communication skills. Ability to articulate complex concepts clearly and persuasively to diverse audiences. Proven track record of working effectively in cross-functional teams. Ability to build consensus and drive alignment across diverse stakeholders.
• Problem-Solving Skills: Strong problem-solving abilities with a proactive approach to identifying and addressing challenges. Ability to navigate ambiguity and make sound decisions under pressure.

Our Values and Principles You will be able to demonstrate examples of our core principles:

• Seek inclusion & diversity: We create an environment where everyone feels welcome, and people are encouraged to speak and be heard
• Work Hard, Work Well, Work Together: We take responsibility for making things happen, independently and together; we help colleagues in need and close loops, making sure our work is complete and has lasting impact
• Grow: We are proactive, curious and unafraid of failure
• Customer at the heart: We care about the customer, feel their pain and love building product that solves their biggest problems
• Candour with caring: We deliver candid feedback with kindness and receive it with gratitude

Above all, our people show a willingness to work together and get their hands dirty to deliver product success, which means our customers are successful!

What We Offer: 

• Competitive salary and bonus
• Opportunities for learning and development within the Blenheim Chalcot venture network
• Travel to our London HQ and cross-team
• 25 days PTO including 11 federal public holidays
• Your birthday off
• Daily office snacks and treats

Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn't work together.

So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, offer buy now, pay later functionality, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we've embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale.

Today, we are a partner to sellers of all sizes – large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We're building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same.

The Role

Square is looking for a Territory Account Executive to join our newly established field sales organization. Our goal is to bring a local experience to our Sellers (aka customers/merchants) everywhere. You will engage with our Sellers in a relevant and authentic way, demonstrate Square's mission of economic empowerment and provide a truly local presence.

This individual contributor sales role will work with restaurants, retailers and service based businesses in our largest and highest potential markets. THIS IS A HUNTER AND FIELD BASED SALES ROLE. You will build a vision and strategy plan for winning market share in your city. You will collaborate to create a build top of funnel leads, referrals, connect with local partners, attend/host local events within your community to generate new business, kickstarting the flywheel and build Square's brand awareness within your city. This role requires excellent communication skills, persistence, and a strong ability to build rapport with sellers to negotiate and close complex deals both remotely and in person.

You Will

• Sell into your market in-person. You will sell face to face 80% of the time to source leads, perform discovery and demos to generate interest and close deals selling our Square ecosystem
• Get to know the active Square Sellers within your community - keep a pulse on their account health and partner with account management and customer support, and generate referrals
• Engage and partner with onboarding teams to ensure Sellers are implemented successfully
• Build a sustainable, top of funnel pipeline through a combination of tactics - walking your city and performing 50-60 drop-ins a week to prospective sellers, create a referral channel with active Square sellers, strategic partnerships or local community associations
• Develop a strong on-hands skill of demo and onboarding of Square hardware and software solutions
• Work with our channel sales team to identify complementary partners in your market for referrals and build that referral channel
• Cultivate a deep understanding of the business and technology needs of our primary vertical markets (restaurants, retail and services)
• Achieve and exceed monthly sales goals and key performance indicators (KPIs) - we are big on metrics
• Utilize Salesforce to track, monitor, and report on sales activities, pipeline status, and outcomes

You Have

• 3+ years of sales experience in a full cycle closing role with field sales experience
• Experience exceeding sales targets, selling a diverse ecosystem of products, and closing complex deals
• Ability to drive deals independently in a fast-paced, dynamic environment
• Business development experience (e.g. hunting and cold calling)
• Since this is a field position, you must have reliable transportation and live in the market you are serving
• A collaborative and team player mentality
• Prior Salesforce experience or equivalent
• Even better:
  • 2+ years of payment processing OR related technology (i.e. payroll, loyalty, time management)
  • 1+ years of relevant audience experience (experience working in/selling to restaurants, retailers or services based businesses)

We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we're doing to build a workplace that is fair and square? Check out our I+D page.

While there is no specific deadline to apply for this role, U.S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted.

Scope

Ambiq is seeking an Edge AI Firmware 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.

We are looking for a Senior Forward Deployed Engineer (FDE) who is passionate about solving complex cloud infrastructure challenges in the fast-growing AI/ML space. This is a high-impact position designed to be the "technical tip of the spear" for our most strategic AI-Native (ANE) customers.

As an FDE, you will sit at the intersection of Product Engineering and Customer Implementation. You will be embedded directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems.

You will build the tools, migration scripts, and AI starter kits that don't just solve one customer's problem, but scale the entire DigitalOcean AI Cloud ecosystem. Your mission is to accelerate "time-to-inference" and serve as a critical feedback loop, ensuring our product roadmap is informed by the world's most demanding AI workloads.

What you’ll do

• Embedded Customer Engineering: Partner deeply with strategic ANEs to manage complex migrations, build production-ready PoCs, and execute hands-on application builds on our GPU infrastructure.
• Build Scalable Assets & Tooling: Operationalize field learning by building migration planners, GPU optimization agents, and deployment automation scripts (e.g., Terraform/Pulumi) to reduce friction for the broader field organization.
• Develop AI "Starter Kits": Create pre-built GenAI agents, solution templates, and notebooks (e.g., LangGraph, CrewAI) tailored to popular and advanced business needs.
• Drive the Product Roadmap: Act as the frontline technical voice for CPTO, surfacing architectural gaps and edge cases to inform core product development. Transition field-built tools into native product features.
• New Tech Validation: Lead the early testing and integration of emerging AI frameworks to ensure a first-class developer experience on DigitalOcean.
• Partner & GTM Enablement: Co-develop delivery frameworks with Strategic and Technical partners to enable repeatable, high-quality deployments at scale.
• Market Leadership: Produce field-tested demo kits and deployment guides that support new product releases with practical, validated assets.

Key Metrics

• Customer Adoption: Number of high-impact production workloads landed; reduction in average "time-to-production"; and Pilot-to-Production conversion rates.
• Asset & Tooling Delivery: Number of reusable tools (agents, scripts, playbooks) delivered per quarter and their subsequent adoption rate by the crossfunctional teams and customers.
• Field Enablement & Scale: Measured by the successful handoff and execution of FDE-defined deployment patterns to technical partners and the internal adoption rate of FDE playbooks across all customer-facing technical teams.
• Product Influence: Number of roadmap features or architectural changes directly attributed to FDE feedback and validated customer hypotheses.

What You’ll Add to DigitalOcean

• AI/ML Architecture & Domain Expertise: Significant experience in the AI/ML lifecycle, specifically hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular. You have a deep understanding of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
• Distributed Systems & Infrastructure Mastery: Act as the subject matter expert on modern GPU families (NVIDIA/AMD) and their software stacks (CUDA, ROCm, TensorRT, OpenAI Triton). Expert proficiency in Kubernetes (K8s) and the design of distributed systems, including microservices, messaging systems, databases, and Infrastructure as Code. You can seamlessly integrate AI workloads with core cloud services (Networking, VPC, Storage, Compute).
• High-Performance Inference & Hardware Optimization: Hands-on experience with distributed inference serving frameworks (e.g., llm-d, NVIDIA Dynamo, or Ray Serve). You understand GPU-level optimization and have experience with interconnect technologies like NVlink, XGMI, or RoCE to maximize hardware efficiency.
• Software Engineering Foundation: Strong production coding skills in Python or Go with the ability to build high-quality tools, automation, and internal assets.
• Data-Driven Performance Insight: Proven ability to benchmark AI infrastructure and perform GPU utilization tuning to optimize customer ROI and workload performance.
• Consultative Execution: Proven ability to establish instant technical credibility with CTOs and Lead Architects while managing high-stakes technical migrations.

Preferred

• Experience with emerging AI orchestration frameworks like LangGraph, CrewAI, or LlamaIndex.
• A background in technical consulting or "Forward Deployed" roles at high-growth AI or infrastructure companies.
• Experience building and scaling "Center of Excellence" models or partner delivery frameworks.
• Active contributor to open-source AI projects or technical communities.

Compensation Range:

• $140,000 - $174,000 

*This is a remote role

#LI-Remote

We are looking for a Senior Forward Deployed Engineer (FDE) who is passionate about solving complex cloud infrastructure challenges in the fast-growing AI/ML space. This is a high-impact position designed to be the "technical tip of the spear" for our most strategic AI-Native (ANE) customers.

As an FDE, you will sit at the intersection of Product Engineering and Customer Implementation. You will be embedded directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems.

You will build the tools, migration scripts, and AI starter kits that don't just solve one customer's problem, but scale the entire DigitalOcean AI Cloud ecosystem. Your mission is to accelerate "time-to-inference" and serve as a critical feedback loop, ensuring our product roadmap is informed by the world's most demanding AI workloads.

What you’ll do

• Embedded Customer Engineering: Partner deeply with strategic ANEs to manage complex migrations, build production-ready PoCs, and execute hands-on application builds on our GPU infrastructure.
• Build Scalable Assets & Tooling: Operationalize field learning by building migration planners, GPU optimization agents, and deployment automation scripts (e.g., Terraform/Pulumi) to reduce friction for the broader field organization.
• Develop AI "Starter Kits": Create pre-built GenAI agents, solution templates, and notebooks (e.g., LangGraph, CrewAI) tailored to popular and advanced business needs.
• Drive the Product Roadmap: Act as the frontline technical voice for CPTO, surfacing architectural gaps and edge cases to inform core product development. Transition field-built tools into native product features.
• New Tech Validation: Lead the early testing and integration of emerging AI frameworks to ensure a first-class developer experience on DigitalOcean.
• Partner & GTM Enablement: Co-develop delivery frameworks with Strategic and Technical partners to enable repeatable, high-quality deployments at scale.
• Market Leadership: Produce field-tested demo kits and deployment guides that support new product releases with practical, validated assets.

Key Metrics

• Customer Adoption: Number of high-impact production workloads landed; reduction in average "time-to-production"; and Pilot-to-Production conversion rates.
• Asset & Tooling Delivery: Number of reusable tools (agents, scripts, playbooks) delivered per quarter and their subsequent adoption rate by the crossfunctional teams and customers.
• Field Enablement & Scale: Measured by the successful handoff and execution of FDE-defined deployment patterns to technical partners and the internal adoption rate of FDE playbooks across all customer-facing technical teams.
• Product Influence: Number of roadmap features or architectural changes directly attributed to FDE feedback and validated customer hypotheses.

What You’ll Add to DigitalOcean

• AI/ML Architecture & Domain Expertise: Significant experience in the AI/ML lifecycle, specifically hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular. You have a deep understanding of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
• Distributed Systems & Infrastructure Mastery: Act as the subject matter expert on modern GPU families (NVIDIA/AMD) and their software stacks (CUDA, ROCm, TensorRT, OpenAI Triton). Expert proficiency in Kubernetes (K8s) and the design of distributed systems, including microservices, messaging systems, databases, and Infrastructure as Code. You can seamlessly integrate AI workloads with core cloud services (Networking, VPC, Storage, Compute).
• High-Performance Inference & Hardware Optimization: Hands-on experience with distributed inference serving frameworks (e.g., llm-d, NVIDIA Dynamo, or Ray Serve). You understand GPU-level optimization and have experience with interconnect technologies like NVlink, XGMI, or RoCE to maximize hardware efficiency.
• Software Engineering Foundation: Strong production coding skills in Python or Go with the ability to build high-quality tools, automation, and internal assets.
• Data-Driven Performance Insight: Proven ability to benchmark AI infrastructure and perform GPU utilization tuning to optimize customer ROI and workload performance.
• Consultative Execution: Proven ability to establish instant technical credibility with CTOs and Lead Architects while managing high-stakes technical migrations.

Preferred

• Experience with emerging AI orchestration frameworks like LangGraph, CrewAI, or LlamaIndex.
• A background in technical consulting or "Forward Deployed" roles at high-growth AI or infrastructure companies.
• Experience building and scaling "Center of Excellence" models or partner delivery frameworks.
• Active contributor to open-source AI projects or technical communities.

Compensation Range:

• $140,000 - $174,000 

*This is a hybrid role

JR: 2025-7267

#LI-Hybrid

Austin is home to Optiver’s hardware research, development, and manufacturing group. We build some of the world’s most competitive trading hardware—high-speed, high-density systems that push the limits of performance, reliability, and manufacturability.

We’re growing fast and looking for a Manufacturing Test Engineer focused on PCBA test development and deployment. You’ll own board-level test solutions from early prototypes through volume production—building fixtures, developing automation, driving debug, and partnering closely with contract manufacturers and our internal EE/ME/FPGA/firmware teams.

We’re a small, highly technical team, and this role comes with real autonomy: you’ll have the runway to improve how we do test, raise the bar on factory readiness, and build scalable processes as our hardware footprint grows.

Who we are

Optiver is a tech-driven trading firm and leading global market maker. As one of the oldest market making institutions, we are a trusted partner of 70+ exchanges across the globe. Our mission is to constantly improve the market by injecting liquidity, providing accurate pricing, increasing transparency and acting as a stabilizing force no matter the market conditions. With a focus on continuous improvement, we participate in the safeguarding of healthy and efficient markets for everyone who participates.

Based in ‘The Domain’ neighborhood, Optiver’s Austin office serves as the firm’s innovation nucleus, with a strong focus on quantitative research, software and hardware engineering initiatives. With tech innovation an integral part of our core business, the booming city proved an ideal backdrop for our heavy investment into machine learning, research infrastructure and big data computing. What’s more, with world-class music, food and art scenes, as well as countless scenic outdoor activities, the quality of life for Austin Optiverians is second to none.

What you’ll do

• Own PCBA manufacturing test strategy across the product lifecycle:
• EVT/DVT/PVT → ramp → sustaining
• coverage definition, limits/thresholds, logging, and yield monitoring
• Design and build PCBA test fixtures spanning:
• ICT & Functional verification test (FVT)
• Burn-in / reliability screening
• Final assembly tests (FATP)
• System interoperability testing
• Develop automated test software with strong emphasis on Python scripting, maintainability, and scalability
• Partner with contract manufacturers to deploy tests on the line, train vendor teams, and drive continuous improvement.
• Drive DFT/DFM feedback into design reviews with EE and ME teams
• Define and maintain test documentation:
• Test plans, work instructions, golden unit strategy, calibration/maintenance procedures, and acceptance criteria.
• Use modern tooling (including AI-assisted workflows where helpful) to speed up debug, log triage, and documentation—without compromising repeatability and traceability.
• Travel periodically to supplier sites to support NPI builds, line bring-up, and ramp

Who you are

Requirements

• BS in Electrical Engineering, Computer Engineering, or related discipline.
• 3+ years of industry experience
• Strong Python skills: automation, hardware I/O, parsing logs, data analysis, packaging/CI practices.
• Ability to understand register maps and leverage HALs for creation of test scripts
• Proficient ECAD skills to develop schematics and oversee layout work: Altium, Mentor Graphics, Cadence or equivalent.
• Hands-on experience developing and deploying manufacturing PCBA tests in a production environment.
• Comfortable with hardware debug using scopes, DMMs, logic analyzers, protocol analyzers; strong troubleshooting instincts.
• Experience working with contract manufacturers and external vendor engineering teams, including clear communication and escalation management.

Nice to have

• Familiarity with FPGA prototyping and basic RTL concepts (enough to support debug/bring-up and test hooks).
• Familiarity with C and/or C++ for embedded firmware development
• Experience with high-speed digital board debug (clocking, SERDES links, power sequencing, SI/PI-related failure modes).
• Solidworks familiarity.

What you’ll get:

• Work alongside best-in-class professionals from over 40 different countries.
• Performance based bonus structure that is unmatched anywhere in the industry. We combine our profits across desks, teams and offices into a global profit pool fostering a truly collaborative environment to work in.
• Ownership over initiatives that directly solve business problems.  

Alongside this you will get great other benefits such as 25 paid vacation days and market holidays, fully paid health insurance, daily breakfast and lunch, training opportunities, 401(k) match up to 50% and charitable match opportunities, regular social events and clubs, and many more.

At Optiver, we are committed to creating a diverse and inclusive environment of mutual respect. Optiver recruits, employs, trains, compensates and promotes regardless of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics. 

Title: Regional Health & Safety Manager, Americas

Location: New Albany, Ohio or Austin, TX - Hybrid

Travel: Up to 50% across North and South America

The Regional Health & Safety Manager, Americas is accountable for Health & Safety performance across EdgeConneX’s Americas data center portfolio. This role owns the prevention of serious incidents, consistent application of standards, and closure of corrective actions across operational sites, offices, and construction handover into steady-state operations.

This role will include the prevention of serious incidents through high-risk activity management processes, emergency response planning, safety in datacenter operations, and construction/contractor safety. The role is responsible for monitoring risk, trending leading and lagging metrics, and developing reports used to drive accountability and corrective action. This role serves as the senior regional safety leader for the Americas, partnering closely with Operations, Engineering, Security, Construction, and key customers. The position balances hands-on field engagement with regional program ownership, incident management, audits, metrics, and executive-level reporting.

Primary Responsibilities

• Own and lead Health & Safety performance across the Americas portfolio.
• Implement and maintain EdgeConneX global Health & Safety programs, standards, and procedures.
• Serve as the primary Health & Safety point of contact for assigned data centers and campuses.
• Drive prevention of serious incidents through high-risk activity management, permit-to-work, and field presence.
• Conduct site audits, inspections, and assessments to verify compliance with OSHA, local regulations, company standards, and customer requirements.
• Lead incident notification, investigation, root cause analysis, and corrective action tracking.
• Own regional corrective action closure, ensuring findings from incidents, audits, and inspections are resolved, verified, and not repeated.
• Maintain oversight of OSHA logs, regulatory filings, and required safety documentation.
• Monitor leading and lagging indicators, trend data, and site performance to drive accountability and corrective action.
• Develop and deliver regional safety metrics, dashboards, and executive-level reporting on a weekly and monthly basis.
• Support internal, external, and customer-driven audits, including evidence collection and closure tracking.
• Partner with Operations and Engineering to develop, maintain, and test Emergency Action Plans.
• Ensure Health & Safety requirements are embedded into SOPs, MOPs, EOPs, MTAs, and emergency drills.
• Provide subject matter expertise for operational and construction-related safety risks.
• Engage with regulatory agencies as required and manage related correspondence.
• Drive a standardized and consistent Health & Safety approach across the Americas region.
• Maintain regular site presence through travel to support operational alignment and oversight.

Knowledge, Skills & Abilities

• High personal standards and a prevention mindset focused on eliminating serious incidents.
• Strong working knowledge of OSHA and applicable federal, state, and local Health & Safety regulations.
• Strong capability in incident investigations, evidence gathering, and root cause analysis.
• Strong written and verbal communication skills, including the ability to deliver clear expectations and concise reporting.
• Ability to set expectations, drive accountability, and achieve closure across Operations, Engineering, Security, Construction, and vendor teams without direct authority.
• Strong audit mindset: disciplined documentation, corrective action tracking, and closure.
• Strong organizational, reporting, and time management skills with attention to detail.
• Proven ability to prioritize and manage multiple sites, initiatives, and deadlines in a fast-moving environment.
• Ability to maintain a professional composure and make sound decisions in pressured situations.
• Proficiency with Microsoft Office tools and comfort working in systems for reporting, tracking, and documentation.
• Ability to travel regularly and work on-site in operational and construction environments as needed.

Experience/Education

• Bachelor’s Degree in Occupational Safety, Health & Safety, Engineering, Facilities Management, or a related discipline, or equivalent experience.
• 10+ years of progressive Health & Safety experience supporting multiple sites (operations and construction interface), preferably in critical infrastructure or industrial environments.
• OSHA 30 certification required.
• Demonstrated experience leading incident investigations and driving corrective actions to verified closure across a distributed portfolio.
• Certified Safety Professional (CSP) or equivalent strongly preferred.
• Strong Understanding of the Data Center risk profile; direct experience leading health & safety within a hyperscale data center strongly preferred.
• Experience building and operating practical Health & Safety management systems (audits, training compliance, metrics, and action tracking).
• Experience working directly with enterprise customers and supporting audit expectations (evidence quality, reporting, closure).

Your role
The Revenue Operations Manager – Channel & International oversees operational rigor across partner-led and geographically distributed revenue motions. This role ensures consistency in forecasting, clarity in attribution, and alignment across regions.

This is a revenue execution role—not reporting support or an embedded business partner.

This position reports to our VP of Revenue Operations and has the opportunity to be based in our Austin or Tempe offices.

What you’ll do

• Define and enforce opportunity stage entry and exit criteria.
• Establish deal inspection frameworks by segment and deal size.
• Identify and eliminate:
• Poorly qualified pipeline.
• Stalled or aging deals.
• Inflated close dates and optimistic forecasts.
• Create clear standards for when deals advance, reset, or exit the pipeline.
• Own forecast methodology and call discipline across segments.
• Standardize forecast categories (Commit, Best Case, Pipeline, etc.).
• Lead or co-lead weekly forecast calls with Sales leadership.
• Track and surface forecast bias, slippage patterns, and risk signals.
• Improve forecast accuracy, confidence, and consistency over time.
• Design and run pipeline councils by segment.
• Ensure pipeline reviews are:
• Forward-looking.
• Decision-oriented.
• Action-driven.
• Equip Sales leaders with consistent inspection views that drive accountability.
• Make pipeline hygiene a management habit, not a Rev Ops cleanup task.
• Partner closely with:
• Revenue Intelligence & Analytics.
• Systems and Data teams.
• Translate execution issues into:
• Process improvements.
• System enforcement.
• Clear operating guidance.
• Provide structured feedback into GTM strategy and planning.
• Define and own the core pipeline and forecast KPIs.
• Hold the organization accountable for:
• Stage-to-stage conversion.
• Deal aging.
• Forecast accuracy.
• Ensure leaders understand why deals slip — not just that they did.
• Monitor partner-sourced pipeline integrity.
• Ensure accurate attribution and pipeline hygiene.
• Support forecast validation for partner-led deals.
• Monitor territory and partner coverage sufficiency.
  Flag structural gaps impacting growth.

Skills you’ll bring

• 7–10 years of total professional experience.
• 4–6+ years in Sales Operations, Revenue Operations, or GTM Strategy.
• Experience supporting Direct Sales Teams and/or Channel organizations.
• SaaS experience strongly preferred.
• Strong analytical mindset with the ability to turn data into decisions.
• Comfortable working with ambiguity and building structure where none exists.
• Excellent executive communication — written, verbal, and storytelling.
• Ability to influence senior stakeholders without formal authority.
• High ownership mentality: you see problems and fix them.
• Detail-oriented but able to zoom out to the bigger picture.
• Strong experience with Salesforce, Tableau, Outreach, Clay, Scratchpad, and ZoomInfo.
• Familiarity working alongside tools like Anaplan, routing platforms (Leandata), or forecasting tools (Clari).
• Ability to partner effectively with Business systems and analytics teams.

JOB SUMMARY

We are seeking a Firmware Engineer with an interest in developing software for Battery Management Systems (BMS), robot communications, and sensing in robotic systems.

In this role, you will be responsible for the design, implementation, optimization, and testing of BMS firmware, robot communication systems, and real-time feedback control systems. You will also support hardware bring-up activities, develop and execute Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL) tests, and contribute to system integration, validation, and debugging as embedded devices come online.

These embedded systems are core components that enable robots, including humanoids and mobile manipulators, to perform meaningful work across a wide range of applications.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES

• Collaborate with systems, electrical, mechanical, and software engineers to develop the next generation of robotic platforms
• Lead cradle-to-grave development of Battery Management Systems (BMS), robot communications firmware, and sensing systems, including design validation
• Develop and execute Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL) testing to validate system performance and reliability
• Design and implement fault detection, fault injection, and recovery mechanisms for safety-critical systems
• Manage over-the-air (OTA) firmware updates for embedded systems deployed on robotic platforms
• Partner with cross-functional engineering teams to bring up robot power distribution and sensing systems from prototype through production

SKILLS AND REQUIREMENTS

• Strong fundamentals in microcontrollers and battery systems
• Knowledge of real-time operating systems (RTOS) and hands-on experience working with an RTOS
• Understanding of distributed computing, multithreaded, and multi-process system design and debugging
• Experience with industrial control systems, industrial robotics, or process automation
• Experience developing in C and C++ for TI C2000 microcontrollers
• Proficiency in C/C++ and Linux; familiarity with Python, Docker, and Git
• Experience working in Agile teams, including participation in sprint planning, design reviews, and code reviews
• Strong hardware debugging skills using tools such as oscilloscopes and logic analyzers
• Ability to read and interpret electrical schematics (Altium Designer preferred) and hardware datasheets
• Experience with embedded communication protocols such as SPI, EtherCAT, Ethernet, UART, RS485, and CAN
• Familiarity with safety-critical embedded system design standards (e.g., ANSI/RIA R15.06, MISRA)
• Experience managing firmware deployments for fielded products

EDUCATION and/or EXPERIENCE

• Bachelor’s degree in Electrical Engineering, Computer Engineering, or equivalent practical experience
• Minimum of 1 year of relevant industry experience (excluding academic training) developing production-grade embedded software

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

Who We Are 

Core Scientific is a leading provider of infrastructure for high-performance compute in North America. Our mission is to accelerate digital innovation by scaling high-value compute rapidly, efficiently, and responsibly.  We transform energy into high-value compute with unmatched efficiency at scale. The company is a $5 billion publicly traded company (NASDAQ: CORZ). 

We power AI, HPC, and other next-generation data center workloads demanding exceptional computing power, in addition to our digital asset mining operations.  We own and operate nine data centers in seven states, housing advanced infrastructure for our customers. 

What sets us apart? We have an entrepreneurial culture, a "can-do" and collaborative attitude, and we own and control our infrastructure. These strategic advantages enable us to maintain operational excellence, increase efficiency, and rapidly deploy cutting-edge innovations developed by our team of experts. 

Join us and accelerate your career alongside our groundbreaking journey. We seek smart, creative, and collaborative professionals who thrive in a fast-paced, result-driven environment. Ready to be part of something exceptional? Apply today and make an impact at Core Scientific. 

Title 

Enterprise Architect 

Reports To 

Chief Technology Officer 

The Job 

As organizations scale, digital systems outpace the assumptions that shaped them. Permissions accumulate, automation compounds, reconciliation logic ages, and integrations drift until policy and documentation alone can no longer ensure that system behavior reflects operational, financial, and revenue-generating reality. 

We are seeking an Enterprise Architect within the Technology organization to ensure that enterprise systems operate with durable precision as complexity increases. The mandate is dual: contain structural risk and harden the enterprise into a disciplined, programmatic system that accelerates revenue, efficiency, and enterprise value. Reporting to the Chief Technology Officer and operating across engineering, data, finance, and operations, this role carries executive sponsorship aligned with CEO directive to strengthen institutional precision so that technology compounds advantage rather than complexity. 

Digital systems define operational truth and revenue execution. When architecture diverges from real-world behavior, inefficiency compounds quietly, throughput slows, reporting distorts, and value erodes. This role engineers durability directly into system design—strengthening control architecture, validating behavior, eliminating operational debt, and maintaining disciplined access models so efficiency becomes structural rather than dependent on vigilance. 

Success is measured by increasing precision at scale. Systems align with operational and financial reality without constant intervention, weaknesses are surfaced before they compound, automation reinforces accountability rather than obscuring it, and improvements in control architecture translate into faster decision velocity, cleaner financial signal, reduced workflow friction, and measurable performance gains. Hardening removes fragility without introducing bureaucracy; precision increases speed. 

This is not a compliance or audit function. It is a high-trust, senior individual contributor role embedded within live enterprise systems with direct access to the CTO and visibility aligned with CEO mandate. 

Responsibilities 

• Investigate enterprise systems to ensure that digital workflows reflect operational, financial, and revenue-generating reality. 

• Map control surfaces across ERP, CRM, data pipelines, automation frameworks, APIs, and integrations, identifying structural weaknesses or inefficiencies.  

• Analyze reconciliation logic embedded within tooling and validate that assumptions remain sound under current scale and transaction velocity. 

• Detect privilege creep, access model drift, override frequency, structural permission risk, and hidden inefficiencies embedded in nuisance technology. 

• Examine automation layers for masked control failures, redundant workflows, and process friction that suppress throughput. 

• Redesign or reinforce enterprise control frameworks where necessary, strengthening architecture without introducing bureaucratic drag. 

• Use structured data analysis, scripting, and AI-accelerated investigative workflows to surface anomalies, quantify exposure, and model performance impact. 

• Translate technical findings into executive-level analysis that connects control integrity to margin protection, decision velocity, and revenue acceleration. 

• Partner with engineering and operations leaders to eliminate structural inefficiencies and convert fragile workflows into hardened programs. 

• Strengthen traceability, documentation, and institutional memory so that system durability scales with growth. 

• Foster open, respectful, and professional communication directly within the team as well as with co-workers/ teammates and leaders across the organization 

• Performs other duties as assigned 

Qualifications 

We are intentionally open to unconventional backgrounds. Exceptional candidates may have experience as: 

• A senior technical leader responsible for building and hardening systems under pressure. 

• A systems engineer or platform architect who has diagnosed and repaired structural fragility. 

• A forensic or investigative professional with strong technical depth. 

• A security or controls engineer with enterprise exposure. 

• A senior operator who has eliminated operational debt while scaling performance. 

You are likely a solution-oriented operator who derives energy from untangling nuisance technology, cleaning up degraded workflows, and eliminating inefficiencies that others tolerate. 

• Think in systems and control surfaces rather than isolated incidents. 

• Understand that structural failure often begins as unmanaged drift. 

• Recognize operational debt embedded in tooling and process before it becomes material loss. 

• Are materially focused and capable of distinguishing signal from noise. 

• Remain calm and precise in ambiguous environments. 

• Are comfortable operating without formal signature authority. 

• Can interrogate systems without destabilizing trust. 

• Thrive on turning fragility into engineered durability. 

• Prefer building hardened programs over writing policies. 

AI proficiency is foundational in this role. You are expected to use AI as a primary analytical engine, a bridging mechanism between systems, and a general-purpose accelerator for investigation, modeling, and solution design. This includes building repeatable AI-assisted workflows that combine data extraction, anomaly detection, hypothesis testing, and structured reporting. 

• Querying structured data using SQL or similar tools. 

• Writing lightweight scripts in languages such as Python to validate assumptions and test system behavior. 

• Navigating APIs, integration layers, automation frameworks, and permission hierarchies. 

• Using AI to synthesize findings, stress-test logic, generate diagnostic artifacts, and accelerate technical validation. 

• Distinguishing between superficial AI usage and disciplined, reproducible AI-driven system interrogation. 

You do not need to be a full-time software engineer. However, you must be technically literate enough to move beyond dashboards and into underlying system logic, and disciplined enough to operationalize AI into repeatable investigative infrastructure. 

Location 

Austin, TX or Miami, FL. While proximity to our core offices is preferred, we prioritize capability and alignment with mandate and will consider remote candidates where appropriate. 

Travel 

Occasional travel will be required up to 25%. 

Work Environment 

This job typically operates in a professional office environment and routinely utilizes standard equipment, including laptop computers and smartphones. This role will also travel to data center sites and the work environment at a data center may contain loud noise, construction and other operational elements,  

Physical Demands 

While performing the duties of this job, the employee is frequently required to sit, stand, walk, use hands, and lift up to 25 pounds.   

Position Type/ Expected Hours of Work 

This is a full-time position. General hours and days of work are Monday through Friday, 8:00 a.m. to 5:00 p.m. Some nights and weekends may be required. 

Supervisory Experience (Yes or No) 

No 

Are you a highly motivated sales professional with a passion for closing new business in an industry ripe for disruption? Do you excel at building long-term relationships with C-suite executives and driving sales cycles from prospecting to closure? Are you ready to be part of a team that is transforming the investment management industry with innovative cloud solutions? If so, we invite you to be a part of our growing sales team.

As a Senior Sales Executive at Ridgeline, you will drive net-new customer acquisition and build meaningful client relationships by showcasing Ridgeline’s modern platform as a transformational solution. This role offers an exciting opportunity to join our dynamic Go-To-Market team, where you will leverage your expertise in selling complex software solutions to guide prospects through a consultative buying journey. You’ll play a key role in expanding Ridgeline’s presence while delivering value to our customers through innovative, unified technology. Using cutting-edge technologies—including AI tools like ChatGPT—you’ll become an integral part of a team committed to transforming an entire industry.

This is an individual contributor role.

At Ridgeline, how we work matters as much as what we build. Ridgeliners act like owners, choose growth over comfort, and communicate with transparency. We assume positive intent, bias toward action, and bring solutions—not just problems. We celebrate wins, learn from setbacks, and thrive in a resilient, collaborative, high-performing culture. If the Ridgeline Way excites you, we’d love to meet you.

You must be work authorized in the United States without the need for employer sponsorship.

The impact you will make:

• Lead business development efforts to open a market and sell to named accounts in the asset management industry.
• Drive net-new business sales from prospecting through to close, ensuring pipeline progression.
• Orchestrate sales cycles by coordinating with internal teams, including pre-sales, value management, marketing, and sales support.
• Leverage your consultative selling skills to initiate and nurture long-standing relationships with prospective customers and executive sponsors.
• Position Ridgeline effectively as a modern, cloud-based alternative to outdated legacy solutions.
• Maintain an active pipeline in Salesforce, ensuring accurate forecasting and progress reporting.
• Travel regularly (~33%) to build and maintain relationships with key stakeholders.
• Think creatively, own problems, seek solutions, and communicate clearly throughout the sales process.
• Contribute to a collaborative environment rooted in learning, teaching, and transparency.

What we look for:

• 10+ years of sales experience selling technology-based enterprise solutions and services.
• 5+ years in a quota-carrying role with a proven track record of successful revenue attainment.
• Expertise in establishing and maintaining key relationships with strategic accounts, including senior-level client relationships at the C-suite level.
• Familiarity with consultative selling methodologies and the ability to collaborate with internal teams to drive results.
• Strong interpersonal, communication, presentation, and negotiation skills.
• Self-starter with strong attention to detail and time management skills.
• Bachelor’s Degree in Business Administration or a related field.
• Willingness to learn about cutting-edge technologies while cultivating expertise in a business domain/problem space.
• An aptitude for problem solving
• Ability to communicate effectively
• Serious interest in having fun at work

About Ridgeline

Ridgeline is the first front-to-back system of record for investment managers. Founded by visionary entrepreneur Dave Duffield (co-founder of both PeopleSoft and Workday), the company was created to modernize an industry held back by outdated, disconnected technology. Powered by a single, real-time data set and embedded AI, Ridgeline helps firms automate complexity, accelerate collaboration, and deliver tailored client experiences at scale, without added headcount or risk. Ridgeline is headquartered in Lake Tahoe, with offices in New York, Reno, and the Bay Area, and is recognized by Fast Company as a “Best Workplace for Innovators,” by Frost & Sullivan as a “Technology Innovation Leader,” and by The Software Report as a “Top 100 Software Company.”

Ridgeline is proud to be a community-minded, discrimination-free equal opportunity workplace.

Ridgeline processes the information you submit in connection with your application in accordance with the Ridgeline Applicant Privacy Statement. Please review the Ridgeline Applicant Privacy Statement in full to understand our privacy practices and contact us with any questions.

Compensation and Benefits 

The cash compensation amount for this role is targeted at $305,000 to $360,000 OTE. Final compensation amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amount listed above. 

As an employee at Ridgeline, you’ll have many opportunities for advancement in your career and can make a true impact on the product. 

In addition to the base salary, Ridgeline employees can participate in our Company Stock Plan subject to the applicable Stock Option Agreement. We also offer rich benefits that reflect the kind of organization we want to be: one in which our employees feel valued and are inspired to bring their best selves to work. These include unlimited vacation, educational and wellness reimbursements, and $0 cost employee insurance plans. Please check out our Careers page for a more comprehensive overview of our perks and benefits.

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