A new paradigm of computing

Magic Leap is a pioneer in Augmented Reality (AR) optics, display systems, platforms, devices services, prototyping and manufacturing capabilities. We are known for our unmatched optics stack and have developed ultra-lightweight waveguides and display systems that advance what is possible in AR. With more than a decade of experience in AR innovation, we have made groundbreaking advancements in text legibility, color fidelity and rich digital content visuals while continually expanding the field of view to create engaging, immersive AR experiences. 

Magic Leap could be your place if you want to be part of a united team where everyone is empowered and trusted to make an impact. At Magic Leap, you can explore innovative solutions and use your talents to solve real-world problems. Working alongside industry experts, you can grow your skills while helping make our technology available to millions of people as a partner in the AR ecosystem.  We know that successful change and progress accelerates diverse perspectives. As we shape our future, everyone's voice matters. Together, we can reimagine the world of work and, with our bold partners, make the impossible possible.

The Opportunity

As a Senior Process Engineer on the Eyepiece Process R&D team, you will lead the development and optimization of nanoimprint lithography (JFIL) processes critical to next-generation augmented reality displays. You will own process development from early-stage experimentation through transfer into manufacturing, ensuring scalability, repeatability, and yield performance.

This role is highly hands-on and sits at the intersection of R&D and production. You will work with advanced lithography equipment, develop and qualify new processes, and collaborate cross-functionally to bring cutting-edge light-field technology into production. Success in this role requires deep process expertise, strong experimental rigor, and the ability to translate R&D breakthroughs into robust manufacturing solutions.

Location: This position requires being fully on-site at our Austin, TX facility, to ensure seamless collaboration and hands-on support for daily operations. Relocation assistance is available for non-local candidates.

What you’ll do

• Own the development and optimization of nanoimprint lithography (JFIL) processes for eyepiece fabrication
• Design and execute experiments (DOE) to improve process performance, yield, and defectivity
• Operate, maintain, and troubleshoot advanced lithography and metrology equipment in a cleanroom environment
• Develop characterization methods and workflows to evaluate thickness, roughness, feature dimensions, transmission, and defectivity
• Analyze process data and build diagnostic frameworks (JMP, Python, or similar) to monitor process health and drive improvements
• Improve defect inspection and imaging systems through internal development and vendor collaboration
• Partner with manufacturing teams to transfer processes into high-volume production and support ramp
• Evaluate, select, and bring up new tools, materials, and process technologies
• Create and maintain process documentation, specifications, and technical reports
• Collaborate cross-functionally with R&D, manufacturing, and external partners in a fast-paced environment

The experience you bring

• 5+ years of relevant industry experience in nanoimprint lithography, semiconductor processing, nanofabrication, or related field
• BS or MS in physics, chemistry, engineering, or related field, or PhD in a relevant discipline
• Experience owning process development and optimization in an R&D and/or manufacturing environment
• Hands-on experience designing and executing DOEs and driving yield improvement
• Experience working with complex process and metrology equipment in a cleanroom environment
• Strong data analysis skills and experience with statistical tools (JMP, Python, or similar)
• Working knowledge of nanofabrication processes (lithography, etching, deposition, bonding, cleaning)
• Ability to translate experimental results into actionable process improvements
• Strong problem-solving skills and ability to operate in a fast-paced, ambiguous environment

It’s exciting if you also have

• Direct experience with nanoimprint lithography (JFIL or NIL)
• Experience scaling processes from R&D to high-volume manufacturing
• Experience with optical or photonic device fabrication, including waveguides
• Familiarity with advanced metrology techniques (SEM, TEM, optical inspection, profilometry, ellipsometry)
• Experience with process control systems (FDC), automation, or data pipelines
• Background in semiconductor, optics, AR/VR, or advanced consumer hardware manufacturing

Additional Requirements

• Occasional travel required, including two trips to Plantation, FL per year
• Approximately 5% total travel for business needs

Additional Information

All your information will be kept confidential according to Equal Employment Opportunities guidelines.

Please note that we do not accept any application documents via (e-)mail. Furthermore, we do not accept applications from recruitment agencies for this role.

All legitimate Magic Leap email communications will end with "@magicleap.com". Please carefully review all emails you receive, to ensure you only engage with legitimate representatives of Magic Leap. For the protection of your Personal Information, do not click any links, open any attachments, or further engage with any suspicious communications. In the event you receive an unexpected or suspicious communication claiming to come from Magic Leap, please reach out directly to TalentAcquisition@magicleap.com for assistance.

Accommodations

If you need an accommodation during the application, interviewing, or hiring process, you may request an accommodation by emailing ApplicantAccommodation@magicleap.com. Magic Leap will reasonably accommodate qualified individuals with disabilities to the extent required by applicable law.

#LI-CP1

#LI-ONSITE

A new paradigm of computing

Magic Leap is a pioneer in Augmented Reality (AR) optics, display systems, platforms, devices services, prototyping and manufacturing capabilities. We are known for our unmatched optics stack and have developed ultra-lightweight waveguides and display systems that advance what is possible in AR. With more than a decade of experience in AR innovation, we have made groundbreaking advancements in text legibility, color fidelity and rich digital content visuals while continually expanding the field of view to create engaging, immersive AR experiences. 

Magic Leap could be your place if you want to be part of a united team where everyone is empowered and trusted to make an impact. At Magic Leap, you can explore innovative solutions and use your talents to solve real-world problems. Working alongside industry experts, you can grow your skills while helping make our technology available to millions of people as a partner in the AR ecosystem.  We know that successful change and progress accelerates diverse perspectives. As we shape our future, everyone's voice matters. Together, we can reimagine the world of work and, with our bold partners, make the impossible possible.

The opportunity

The Staff R&D Process Engineer will play a critical role in developing and scaling advanced manufacturing processes for next-generation AR eyepiece technologies, with a primary focus on laser processing and singulation of glass and glass-like substrates. This position sits at the intersection of research and development and high-volume manufacturing.

You will own process development from early-stage exploration through production ramp, solving complex challenges in precision, yield, and scalability. This role is ideal for someone who is highly hands-on, thrives in ambiguity, and enjoys building processes that transition from lab to manufacturing.

What you’ll do

• Own the development of laser-based processes for cutting, shaping, and finishing glass and glass-like substrates used in AR waveguides.
• Design and execute experiments (DOEs) to solve process challenges related to edge strength, yield, and dimensional precision.
• Program, set up, and operate laser and precision fabrication tools to produce high-quality prototypes.
• Develop metrology methods, fixtures, and validation workflows to ensure process performance and repeatability.
• Troubleshoot and optimize processes to improve yield, throughput, and consistency.
• Partner with manufacturing teams to transfer processes into high-volume production and support ramp.
• Evaluate, select, and bring up new tools and technologies, including next-generation laser systems.
• Create and maintain process documentation, specifications, and reports.
• Collaborate cross-functionally with R&D, manufacturing, and external partners in a fast-paced environment.

The experience you bring

• 8+ years of relevant industry experience in process engineering, advanced manufacturing, or related fields.
• BS or MS in engineering (mechanical, materials, optical, manufacturing, or related field), or PhD in a relevant discipline.
• Experience developing or running laser-based processes (e.g., laser cutting, dicing, micromachining).
• Hands-on experience working with precision materials, ideally glass or brittle substrates (ceramics or similar materials also relevant).
• Strong background in process development within an R&D environment, including designing and executing DOEs.
• Experience operating and or programming fabrication tools and equipment (manual, semi-automated, or automated).
• Working knowledge of CAD tools (2D or 3D; Creo, SolidWorks, AutoCAD, etc.).
• Ability to analyze data and make data-driven process decisions.
• Adaptability and comfort working in a dynamic, fast-changing environment.

It’s exciting if you also have

• Direct experience with laser singulation or dicing of glass or glass-like materials.
• Deep understanding of laser-material interactions, especially with glass and glass-like materials.
• Experience scaling processes from prototype to high-volume manufacturing.
• Experience working in cleanroom environments and handling precision components.
• Familiarity with metrology tools (CMM, optical microscopy, interferometry, etc.).
• CNC programming and machining experience.
• Experience with statistical analysis tools (e.g., JMP or similar).
• Background in semiconductor, optics, AR/VR, or advanced consumer hardware manufacturing.

Additional Requirements

• Onsite, 5 days per week
• Work environment includes significant time in a cleanroom setting (bunny suit required)

Additional Information

All your information will be kept confidential according to Equal Employment Opportunities guidelines.

Please note that we do not accept any application documents via (e-)mail. Furthermore, we do not accept applications from recruitment agencies for this role.

All legitimate Magic Leap email communications will end with "@magicleap.com". Please carefully review all emails you receive, to ensure you only engage with legitimate representatives of Magic Leap. For the protection of your Personal Information, do not click any links, open any attachments, or further engage with any suspicious communications. In the event you receive an unexpected or suspicious communication claiming to come from Magic Leap, please reach out directly to TalentAcquisition@magicleap.com for assistance.

Accommodations

If you need an accommodation during the application, interviewing, or hiring process, you may request an accommodation by emailing ApplicantAccommodation@magicleap.com. Magic Leap will reasonably accommodate qualified individuals with disabilities to the extent required by applicable law.

#LI-CP1

#LI-ONSITE

A new paradigm of computing

Magic Leap is a pioneer in Augmented Reality (AR) optics, display systems, platforms, devices services, prototyping and manufacturing capabilities. We are known for our unmatched optics stack and have developed ultra-lightweight waveguides and display systems that advance what is possible in AR. With more than a decade of experience in AR innovation, we have made groundbreaking advancements in text legibility, color fidelity and rich digital content visuals while continually expanding the field of view to create engaging, immersive AR experiences. 

Magic Leap could be your place if you want to be part of a united team where everyone is empowered and trusted to make an impact. At Magic Leap, you can explore innovative solutions and use your talents to solve real-world problems. Working alongside industry experts, you can grow your skills while helping make our technology available to millions of people as a partner in the AR ecosystem.  We know that successful change and progress accelerates diverse perspectives. As we shape our future, everyone's voice matters. Together, we can reimagine the world of work and, with our bold partners, make the impossible possible.

The opportunity 

As a Sr Mechanical Engineer within our Hardware Equipment Team, you'll play a pivotal role in designing and developing advanced, automated clean room manufacturing equipment for diffractive optics used in smart glasses. This position offers the chance to innovate at the intersection of precision mechanics and cutting-edge optics, contributing to products that push the boundaries of wearable technology. You'll work in a dynamic, fast-paced environment where your designs directly impact production quality and efficiency, enabling single-digit micron precision in high-stakes applications. If you're passionate about resourceful problem-solving and turning complex challenges into robust solutions, this is an opportunity to grow with a team that's shaping the future of augmented reality.

Location: This role will be based fully onsite in Austin, TX. Relocation assistance is available for non-local candidates.

What you’ll do 

• Design and integrate precision mechanical systems, including robotics, linear motors, encoders, air bearings, and exact constraint mechanisms, to achieve micron-level accuracy in manufacturing equipment.
• Collaborate on the development of machine vision systems integration, pneumatic actuators, valving, system controls and sensor integration and electrical panels for automated process equipment.
• Lead the mechanical design of dispensing and curing systems, optical positioners, and metrology tools to ensure reliable performance in clean room environments.
• Perform design analysis, simulations, and bench-top prototyping to validate equipment functionality under varying priorities and constraints.
• Optimize machine frames and precision mechanisms for stability, repeatability, and ease of assembly.
• Troubleshoot and iterate on designs based on testing feedback, balancing scrappy resourcefulness with rigorous process adherence.
• Work cross-functionally with electrical, software, and manufacturing teams to integrate components into complete systems.  Also work with OEM’s and contract manufacturers to create multiple instances of your system designs.
• Document designs through specifications, drawings, manuals, and testing procedures to support scalable production.

The experience you bring

• 5+ years of professional experience in mechanical design for precision manufacturing equipment or automation systems.
• Bachelor's degree in Mechanical Engineering.
• Proven expertise in designing systems with micron-level precision, such as stages, actuators, or optical alignment tools.
• Hands-on experience with CAD software (CREO for modeling complex assemblies preferred).
• Familiarity with pneumatic and electromechanical components, including valves, linear motors, and encoders.
• Knowledge of clean room standards and manufacturing processes like dispensing, curing, and metrology.
• Ability to conduct design analysis, including FEA, tolerance stack-ups, and failure mode assessments.
• Experience in prototyping, testing, and iterating on mechanical designs in a resource-constrained environment.
• Strong problem-solving skills with a track record of adapting to changing priorities while maintaining rigor in critical areas.

It’s exciting if you also have

• Master’s degree in Mechanical Engineering.
• Experience with machine vision cameras or optical systems in precision applications.
• Familiarity with air bearings or advanced constraint design principles.
• Background in optics manufacturing, machine vision, robotics, or complex capital equipment.
• Proficiency in simulation tools like ANSYS or MATLAB for mechanical optimization.

Additional Information

All your information will be kept confidential according to Equal Employment Opportunities guidelines.

Please note that we do not accept any application documents via (e-)mail. Furthermore, we do not accept applications from recruitment agencies for this role.

All legitimate Magic Leap email communications will end with "@magicleap.com". Please carefully review all emails you receive, to ensure you only engage with legitimate representatives of Magic Leap. For the protection of your Personal Information, do not click any links, open any attachments, or further engage with any suspicious communications. In the event you receive an unexpected or suspicious communication claiming to come from Magic Leap, please reach out directly to TalentAcquisition@magicleap.com for assistance.

Accommodations

If you need an accommodation during the application, interviewing, or hiring process, you may request an accommodation by emailing ApplicantAccommodation@magicleap.com. Magic Leap will reasonably accommodate qualified individuals with disabilities to the extent required by applicable law.

#LI-CP1

#LI-ONSITE

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

Apptronik is seeking a SimOps Engineer to architect and maintain the large-scale simulation infrastructure required for Apollo, our general-purpose humanoid robot. In this role, you will apply high-fidelity simulation rigor to humanoid robotics, managing the lifecycle of virtual environments used for locomotion, dexterous manipulation, and synthetic data collection. You will build the scalable frameworks and automated pipelines that allow our teams to perform system-level optimization and reliability analysis, ensuring that virtual testing accurately mirrors the real-world physical performance of Apollo.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES

• Humanoid Simulation Frameworks: Architect and implement scalable, highly-available simulation frameworks. These should support high-fidelity humanoid dynamics, including complex joint interactions and balance controllers, while enabling domain randomization and synthetic data generation.
• HPC & Cloud Orchestration: Deploy and manage High-Performance Computing (HPC) clusters (e.g., GCP, on-prem) to enable sub-24-hour turnaround for massive, ad-hoc simulation requests and parallelized training workloads.
• Metrics & Visualization: Establish robust observability and monitoring to provide insight into simulation health, utilization, and performance.
• Custom Tooling: Develop specialized tools and dashboards (e.g., using Python, Grafana, FastAPI, or Dash) to visualize complex simulation results that require custom interaction or specialized plotting.
• Automated Data Pipelines: Create automated pipelines to extract, transform, and load (ETL) simulation data for large-scale training and performance benchmarking.
• CI/CD & Sim-in-the-loop Testing: Establish CI/CD pipelines for automated code generation and Simulation-in-the-Loop performance benchmarking to catch regressions early in the development cycle.

SKILLS AND REQUIREMENTS

• Robotics Simulation: Expertise in tools such as IsaacSim/IsaacLab, MuJoCo, Gazebo, Omniverse.
• Monitoring & Dashboards: Proficiency with tools like Grafana for infrastructure and telemetry visualization.
• High-Performance Computing: Demonstrated experience managing GPU-accelerated HPC clusters on cloud platforms (e.g., AWS/GCP) or on-prem systems.
• Programming Proficiency: Advanced Python or C++ skills; experience with web frameworks for building internal research tools is a plus; experience with ROS/ROS2 is a plus.
• Automation: Hands-on experience with GitLab, Jenkins, or GitHub Actions for automating software builds and simulation testing.
• Infrastructure as Code (IaC): Comfort deploying IaC using tools like Kubernetes, Helm, Terraform, Ansible, Docker.
• System Optimization: Proven ability to conduct system-level optimization for complex robotic architectures to identify high-performance hardware/software solutions.

EDUCATION and/or EXPERIENCE

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• Minimum of 5 years of professional, full-time experience in simulation or infrastructure engineering, with a track record of improving simulation through automation. 

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 seeking an experienced Site Reliability Engineer to own and maintain the deployment of our cloud-based infrastructure to customer sites. In this role, you will work closely with our Applications Engineers, IT, and software teams to ensure the smooth deployment of our solution which collects training data and deploys models to real-time robotic systems. Providing a reliable framework will accelerate progress integrating Google DeepMind’s Gemini Robotics Model to humanoid robot hardware.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES

• Partnering with customers and Applications Engineers to remove roadblocks to deployment success
• Writing and fixing Infrastructure as Code (Terraform, Helm, Ansible)
• Developing and maintaining code in Python / Typescript
• Troubleshooting networking, performance, and security challenges
• Collaborating with  engineering and product teams to shape improvements
• Responding to outages, participating in on-call rotations and traveling occasionally to customer sites to support deployment and integration

SKILLS AND REQUIREMENTS

• Strong communication skills, customer empathy and flexibility to adapt
• Hands-on Linux systems engineering and networking experience
• Proficiency with Infrastructure as Code tools (Terraform, Helm, Ansible)
• Development experience in Kubernetes / Python / Typescript / C++
• Experience creating intuitive and high-utility dashboards and vizualizations (Grafana)
• Integrating real-time monitoring and alerting (eg PagerDuty)
• Takes initiative and seeks ownership of the end-to-end infrastructure solution
• Willingness to travel as needed for client support

EDUCATION and/or EXPERIENCE

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• Minimum of 5 years of professional, full-time experience building and maintaining reliable, scalable systems.

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

JOB SUMMARY

Apptronik is seeking an experienced Security Engineer to define and implement the security posture for our humanoid robotic deployments. In this role, you will own the unified security strategy for hybrid operations, ensuring that Apollo’s data and control systems remain secure across both cloud environments and on-premise customer sites. You will be responsible for safeguarding the infrastructure that collects sensitive training data and manages real-time robotic systems, focusing on data encryption, secure remote access, and robust identity management.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES

• Unified Security Strategy: Develop and maintain a comprehensive security framework that spans hybrid cloud and on-premise industrial environments.
• Data Encryption: Investigate and implement end-to-end encryption for data at rest and in transit, specifically protecting robotic telemetry and video training data.
• Access Control: Design and manage Role-Based Access Control (RBAC) and modern authentication protocols (e.g., OIDC, SAML) across the fleet and developer platforms.
• Secure Remote Access: Establish secure, auditable remote access solutions for engineers to troubleshoot robots at customer sites without compromising facility network integrity.
• Network Security: Troubleshoot and harden networking configurations, addressing performance and security challenges in complex industrial environments.
• Infrastructure as Code (IaC): Audit and secure infrastructure deployments using tools like Terraform, Helm, and Ansible.
• Incident Response: Participate in on-call rotations and respond to security-related outages or vulnerabilities.
• Compliance & Auditing: Work closely with customer IT teams to ensure Apptronik's solution meets stringent enterprise security and safety requirements

SKILLS AND REQUIREMENTS

• Security Expertise: Proven experience with encryption standards, RBAC, and multi-factor authentication (MFA) systems.
• Systems Engineering: Hands-on Linux systems engineering and networking experience.
• Infrastructure as Code: Proficiency with IaC tools such as Terraform, Helm, and Ansible.
• Cloud & Containers: Development experience in Kubernetes and managing security within containerized environments.
• Programming: Proficiency in Python or Go for building security tooling and automation.
• Communication: Strong communication skills and customer empathy to navigate facility-specific security restrictions.
• Ownership: A self-starter who takes initiative and seeks ownership of the end-to-end security solution.

EDUCATION and/or EXPERIENCE

• Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• Experience: Minimum of 5 years of professional experience building and maintaining reliable, scalable, and secure systems.
• Technical Background: Demonstrated experience in distributed systems security and cloud-native infrastructure

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

Apptronik is seeking a Robotics Test Engineer to join the Software Integration & Test (RSIT) team. In this role, you will write the automated tests that verify Apollo's software at the integration layer, partner with senior engineers on defect investigations, and help grow the regression coverage that keeps each release safer than the last. You will work hands-on with our pytest-based test infrastructure, HIL benches, and the broader RSIT platform to turn software-level requirements into verifiable tests. This is a role designed for someone who wants to grow into deep expertise in robotics test engineering, with mentorship from senior teammates and meaningful ownership of test suites from day one.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES

• Test Authoring: Write automated integration, contract, and ICD conformance tests in pytest against software-level requirements, with clear pass/fail signals that feed the release gate.
• Defect Investigation: Partner with senior engineers on root-cause investigations for CI failures, escaped defects, and stochastic issues, building familiarity with debugging tools (sanitizers, log analysis, MCAP playback) over time.
• Regression Coverage: Convert defects into permanent regression tests, ensuring every escape becomes a new automated check in the gate.
• HIL Test Execution: Run and maintain test suites on hardware-in-the-loop benches, capture data, and report results into the team's dashboards and result reporting systems.
• Test Suite Maintenance: Keep existing test suites healthy: triage flaky tests, update fixtures as the stack evolves, and improve readability and reliability of test code.
• Requirements Engagement: Read software-level requirements and Systems Validation plans, ask clarifying questions, and surface ambiguity or untestable language to senior teammates and Systems Engineering.
• Tooling Feedback: Serve as an active customer of the RSIT platform, surfacing friction in CI, dashboards, or release tooling so the Release & Integration team can improve developer experience.
• Cross-Functional Collaboration: Work with stack engineers, firmware engineers, and senior RSIT teammates to understand the systems being tested and produce verification that reflects how those systems actually behave.

SKILLS AND REQUIREMENTS

• Programming: Working proficiency in Python, including ability to write clean, maintainable test code and small utility scripts. Comfort reading C++ to understand the systems under test.
• Test Frameworks: Hands-on experience with pytest or an equivalent framework (unittest, Google Test, JUnit), including fixtures, parameterization, and test organization.
• Linux Comfort: Day-to-day fluency on the Linux command line, including basic systemd, log inspection, file system navigation, and shell scripting.
• Version Control: Solid Git fundamentals, including branching, pull requests, and code review participation.
• Debugging Mindset: Demonstrated curiosity and persistence in tracking down bugs, including willingness to read code in unfamiliar parts of the stack to understand a failure.
• Communication: Ability to write clear bug reports, test documentation, and pull request descriptions. Comfort asking questions and surfacing blockers early.
• Learning Orientation: Eagerness to grow into deeper expertise in robotics, real-time systems, and verification engineering through mentorship, code review, and hands-on work.
• Preferred Qualifications:
• Exposure to ROS or ROS2.
• Experience with CI/CD systems (Bitbucket Pipelines, GitHub Actions, Jenkins, or similar) as a user.
• Familiarity with hardware-in-the-loop testing or other forms of hardware-integrated software verification.
• Experience with observability tools (Grafana, Loki, Prometheus) as a consumer of dashboards and logs.
• Background in robotics, autonomous systems, aerospace, or another hardware-integrated domain through coursework, internships, or prior roles.
• Familiarity with sanitizer tooling (ASan, TSan, UBSan) or other dynamic analysis approaches.

EDUCATION and/or EXPERIENCE

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, or a related technical field.
• 2-4 years of professional experience in software development, test engineering, or a related discipline. Strong internship and project experience may substitute for a portion of this requirement.
• Experience writing or maintaining automated tests in a production codebase is strongly preferred.

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

Apptronik is seeking an Integration Engineer to join our Fleet Connect team. As we scale the deployment of Apollo at customer sites, you will be the primary engineer responsible for integrating humanoid robotic systems into live production facilities. Your role is to bridge the gap between our advanced software stack and traditional industrial automation. You will ensure seamless communication between Apollo, hardware safety systems (e.g., PLCs, light curtains), and enterprise management software (WMS/ERP). You will be instrumental in creating the workflows and interfaces that allow our robots to navigate, execute tasks, and report health metrics within complex, dynamic environments.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES

• Industrial Automation: Link robotic platforms to traditional automation systems, including PLCs and hardware safety systems such as light curtains and emergency stops.
• Enterprise Software Orchestration: Facilitate job and work orchestration by integrating with customer ERP and Warehouse Management Systems (WMS) via REST APIs or message brokers.
• Workflow Development: Design and implement intuitive interfaces and workflows for facility mapping, map annotation, labeling, and work ingestion queues.
• Fleet Coordination: Develop and maintain systems for coordinating and monitoring robot job progress, navigation, and scheduling.
• Metrics & Monitoring: Implement robust monitoring solutions (e.g., Grafana, MQTT) to track and report on fleet health and performance metrics.
• Troubleshooting: Diagnose and resolve complex robot integration issues, debugging hardware-software interfaces in real-time environments.
• Cross-functional Collaboration: Interface with UI/UX, systems, software, hardware, and applications teams to deliver features that satisfy system-wide requirements.

SKILLS AND REQUIREMENTS

• Programming Proficiency: Expertise in Python, C++ or TypeScript.
• Industrial Protocols: Hands-on experience with OPC UA, EtherNet/IP, Profinet, or Modbus TCP for PLC and safety system integration.
• Enterprise Integration: Experience interfacing with REST APIs, MQTT, AMQP, or Kafka for WMS/ERP connectivity.
• Messaging & Internal Comms: Proficiency with gRPC and Protocol Buffers for low-latency distributed communication.
• User Interface & Experience: Track record of collaboration with UI/UX designers and end-users to iterate on intuitive dashboards and control interfaces.
• Version Control: Demonstrated competence with Git or version control of distributed systems.
• Infrastructure Tools: Familiarity with Linux, Docker, and containerization technologies.
• Fleet Management: Prior experience in human-AMR planning, task allocation, and multi-agent coordination.
• System Design: Strong understanding of distributed execution and software design patterns.

EDUCATION and/or EXPERIENCE

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• Minimum of 3 years of professional, full-time experience building and maintaining reliable, scalable systems.
• Experience architecting workflow definitions for autonomous systems and/or integrating robotics systems into production environments.

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

Apptronik is seeking a Full-Stack Software Lead to lead the technical direction and delivery of the Interface team within Fleet Connect. In this role, you will guide the design and execution of the software systems that connect Apollo to customer workflows, operational dashboards, and enterprise infrastructure. You will combine hands-on development with technical leadership, partnering closely with product, applications, hardware, systems, and UX teams to deliver reliable, scalable software into live production environments. Your work will shape both the architecture of the Interface platform and the engineering practices that enable the team to execute effectively.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES

• Technical Leadership: Set the architectural direction for the Interface platform; review designs and code, establish engineering standards, and guide implementation across frontend, backend, and integration layers.
• Execution Leadership: Partner with product and program stakeholders to translate roadmap priorities into executable plans, unblock delivery risks, and ensure the team ships high-quality software on a predictable cadence.
• Team Development: Mentor engineers through design reviews, technical coaching, and structured feedback, helping raise the team’s technical depth and execution quality.
• Full-Stack Development: Contribute directly to the development of operator-facing web applications and backend services that support fleet management, robot monitoring, and production operations.
• API and Integration Design: Architect and build REST APIs and gRPC services that interface with the robotics platform, customer WMS and ERP systems, and internal data pipelines.
• Industrial Automation: Lead integration efforts with customer automation systems including PLCs, hardware safety systems, and messaging infrastructure used in live production facilities.
• Reliability and Quality: Own software quality across the Interface product by driving test strategy, observability, maintainability, and operational readiness.
• Cross-Functional Collaboration: Work closely with UI/UX, systems, hardware, applications, product, and deployment teams to deliver features that satisfy system-wide requirements and customer needs.

SKILLS AND REQUIREMENTS

• Programming: Expert-level proficiency in Python and TypeScript; experience with C++ is a plus.
• Frontend: Strong track record with React or equivalent modern frontend frameworks, including component-based architecture and state management patterns.
• Backend: Demonstrated expertise designing REST APIs, microservices, and gRPC or Protocol Buffers based services for distributed systems.
• Industrial Protocols: Hands-on experience with OPC UA, EtherNet/IP, Profinet, or Modbus TCP for PLC and safety-system integration.
• Enterprise Integration: Experience interfacing with REST APIs, MQTT, AMQP, or Kafka for WMS, ERP, or adjacent enterprise workflows.
• Infrastructure: Familiarity with cloud platforms, Kubernetes, Docker, and the operational considerations of deploying software into production environments.
• Leadership: Proven experience leading small engineering teams or owning technical direction for a product area while remaining hands-on.
• Version Control: Demonstrated competence with Git and distributed development workflows.
• Preferred Qualifications:
• Experience with fleet management, task allocation, or multi-robot coordination systems.
• Prior experience in a Tech Lead, Staff Engineer, or equivalent capacity in robotics, automation, logistics, or industrial software.
• Experience partnering closely with UI/UX teams and incorporating user feedback into product decisions.

EDUCATION and/or EXPERIENCE

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• 8-10+ years of professional, full-time experience building and shipping production software systems, including significant full-stack or distributed systems work.
• 2+ years leading technical direction for a team or product area.
• Experience deploying software into robotics, automation, logistics, or other operationally complex environments is strongly preferred.

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

Apptronik is seeking a Software Engineer - Full-Stack to join our Interface team within Fleet Connect. In this role, you will build the operator-facing software and backend services that support real-time monitoring, control, and coordination of Apollo across customer deployments. You will work closely with senior engineers, UI/UX, and cross-functional partners to deliver reliable, intuitive software that helps customers operate robotic systems effectively in production environments.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES

• Develop and maintain frontend and backend features for fleet management, robot operations, and customer-facing monitoring workflows.
• Build dashboards and service integrations that surface robot state, job progress, system health, and operational metrics in real time.
• Contribute to backend APIs and data flows that connect Apollo’s software stack with fleet coordination services and customer enterprise systems.
• Implement data storage and retrieval patterns that support fleet telemetry, job history, and operational reporting.
• Work with UI/UX partners to translate workflows and wireframes into polished, responsive interfaces for operators and deployment teams.
• Support software quality through code reviews, testing, debugging, and iterative improvement based on internal and customer feedback.
• Collaborate across software, systems, hardware, applications, and deployment teams to deliver features that work reliably in production settings.

SKILLS AND REQUIREMENTS

• Programming: Proficiency in Python or TypeScript, with working experience in both preferred.
• Frontend: Experience with React or a comparable modern frontend framework for building responsive user interfaces.
• Backend: Familiarity with REST APIs, service-oriented backend development, and common messaging patterns.
• Databases: Experience with relational databases such as PostgreSQL; familiarity with additional data stores is a plus.
• Infrastructure: Exposure to cloud platforms, Docker, Kubernetes, and modern software deployment practices.
• Version Control: Demonstrated competence with Git and collaborative development workflows.
• Software Quality: Experience with unit or integration testing and familiarity with CI/CD principles.
• Preferred Qualifications:
• Experience with gRPC and Protocol Buffers.
• Familiarity with industrial automation protocols such as OPC UA, Modbus TCP, or EtherNet/IP.
• Prior exposure to fleet management, multi-robot coordination, or operator-facing industrial software.
• Experience integrating with WMS or ERP systems through APIs or message brokers.

EDUCATION and/or EXPERIENCE

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• Minimum of 3 years of professional, full-time experience building and maintaining reliable software systems.
• Experience working in agile development environments is desirable.

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

Apptronik is seeking a Data Platform Engineer to join our Data Platform team. In this role, you will build and maintain the backend systems that ingest, organize, and serve the robotic telemetry, sensor, and training data used across model development, fleet analytics, and operational reporting. You will work at the intersection of robotics, cloud infrastructure, and machine learning, ensuring data is reliable, well-governed, and accessible across both cloud and hybrid deployment environments. Your work will provide critical infrastructure for improving Apollo in development and in production.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES

• Design and maintain backend data services and pipelines for ingesting, processing, and serving telemetry, sensor, and training data generated across development and deployed fleets.
• Build robust batch and streaming data workflows that integrate on-robot data sources, cloud infrastructure, and enterprise systems.
• Develop internal APIs and platform tooling that enable machine learning, robotics, and software teams to access trusted data efficiently and securely.
• Establish data quality, lineage, and governance practices that improve confidence in datasets used for model training, analytics, and operational decision-making.
• Monitor and optimize storage systems, database performance, and resource utilization to meet scalability, throughput, and latency requirements.
• Collaborate closely with data scientists, machine learning engineers, robotics engineers, SRE, and security teams to deliver production-ready data infrastructure.
• Support secure deployment patterns including encryption, access controls, and reliable operation across cloud and hybrid environments.
• Stay current on data engineering practices, distributed systems design, and emerging technologies relevant to robotics and machine learning platforms.

SKILLS AND REQUIREMENTS

• Programming: Strong proficiency in Python; experience with Go for backend service implementation is preferred.
• Data Engineering: Experience with real-time and batch pipeline frameworks such as Kafka, Spark, Airflow, or comparable technologies.
• Databases: Strong command of relational databases such as PostgreSQL and familiarity with NoSQL stores; experience with time-series data is a plus.
• Cloud and Infrastructure: Proficiency with cloud platforms and hands-on experience with infrastructure tooling such as Terraform, Helm, or Ansible.
• Containerization: Experience with Kubernetes and Docker for deploying and scaling backend and data services.
• Security: Familiarity with encryption, RBAC, and secure service-to-service or user-to-service data access patterns.
• Monitoring: Experience building observability dashboards and alerting for data pipelines and platform services.
• API Design: Experience building REST APIs or gRPC services for data access, integration, and internal platform use.
• Preferred Qualifications:
• Experience in robotics, autonomous systems, data platforms, or machine learning infrastructure.
• Familiarity with time-series data stores such as InfluxDB or TimescaleDB for telemetry-heavy workloads.
• Experience with data catalog, lineage, or governance tooling.
• Knowledge of streaming architectures and event-driven systems in production environments.

EDUCATION and/or EXPERIENCE

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• Minimum of 3 years of professional, full-time experience in data engineering, backend engineering, or a closely related discipline.
• Experience building data pipelines or platform infrastructure used to support machine learning, analytics, or AI workflows.

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 the role:

Are you a talented software engineer who’s excited to drive measurable business growth through technology? At Samsara, we’re looking for a Senior Software Engineer - Growth to help accelerate revenue by building products, systems, and AI agents that power scalable growth. You’ll work closely with our go-to-market (GTM) teams to identify opportunities, design and build solutions, and measure their real-world impact. We value engineers who are curious about the business, eager to learn new technologies, and capable of delivering quickly without compromising long-term quality. 

You’ll work across the full stack, from architecture and deployment to testing and iteration. Our stack includes Python for back-end development, JavaScript (Vue) for the front end, and AWS for infrastructure. We believe deeply in solving meaningful business problems through software, data, and collaboration across teams. The Growth Engineering team is the engine behind Samsara’s expansion and revenue acceleration. This role goes beyond writing code, it’s about engineering strategic impact across the customer journey and go-to-market lifecycle. You’ll partner with marketing, sales, and product to turn data-driven insights into experiments and platforms that scale.

If you thrive in a fast-paced environment, bring a sense of urgency, and love turning ideas into measurable results, we’d love to have you help shape the future of growth at Samsara.

This role is open to candidates residing anywhere in the US and Canada. 

You should apply if:

• You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
• You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best. 

In this role, you will: 

• Leverage data to understand our customers and our funnel in depth, identify opportunity areas and execute projects to grow customers and revenue.
• Build and scale products that power Samsara's revenue engine, including customer acquisition funnels, revenue pipeline generation platforms, lead management infrastructure, and GTM AI products.
• Develop AI-powered products and agents that drive revenue pipeline and improve GTM operational efficiency - whether that's enhancing lead scoring models, automating content generation and multi-step GTM workflows, enriching data, or building smarter seller-facing tools.
• Partner closely with Product, Design, Sales, and Marketing to implement growth initiatives.
• Serve as a technical leader, mentoring junior engineers, driving engineering discussions and architectural decisions, influencing adoption of AI, and implementing product development best practices.
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

Minimum requirements for the role:

• 6+ years of professional software engineering experience, preferably in full-stack or growth-focused environments.
• Proficiency in Python (Flask or similar frameworks) and JavaScript (ideally Vue.js or comparable frontend frameworks).
• Experience working with AWS or other cloud infrastructure platforms for deployment and scalability.
• Strong understanding of web architecture, performance optimization, and security best practices.
• Demonstrated ability to design, build, test, and deploy production-quality systems end-to-end.
• Experience using data and analytics to identify opportunities, measure impact, and iterate on solutions.
• Proven ability to collaborate cross-functionally with marketing, sales, and product teams to align technical solutions with business goals.
• Excellent debugging, technical communication, and problem-solving skills.

An ideal candidate also has:

• Strong business acumen and a curiosity about growth strategy, customer journeys, and go-to-market metrics.
• Adaptable, experiment-driven mindset with a track record of learning from testing and iteration in fast-paced environments.
• Experience using AWS services: Elastic Beanstalk, Amplify, Lambda, CloudFront, Kinesis, EventBridge and  experience developing Google Chrome Extensions
• Knowledge of any of the following GTM services: Salesforce, Contentful, Hightouch or any similar products.

About the role:

Are you a talented software engineer who’s excited to drive measurable business growth through technology? At Samsara, we’re looking for a Senior Software Engineer - Growth to help accelerate revenue by building products, systems, and AI agents that power scalable growth. You’ll work closely with our go-to-market (GTM) teams to identify opportunities, design and build solutions, and measure their real-world impact. We value engineers who are curious about the business, eager to learn new technologies, and capable of delivering quickly without compromising long-term quality. 

You’ll work across the full stack, from architecture and deployment to testing and iteration. Our stack includes Python for back-end development, JavaScript (Vue) for the front end, and AWS for infrastructure. We believe deeply in solving meaningful business problems through software, data, and collaboration across teams. The Growth Engineering team is the engine behind Samsara’s expansion and revenue acceleration. This role goes beyond writing code, it’s about engineering strategic impact across the customer journey and go-to-market lifecycle. You’ll partner with marketing, sales, and product to turn data-driven insights into experiments and platforms that scale.

If you thrive in a fast-paced environment, bring a sense of urgency, and love turning ideas into measurable results, we’d love to have you help shape the future of growth at Samsara.

This role is open to candidates residing anywhere in the US and Canada. 

You should apply if:

• You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
• You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best. 

In this role, you will: 

• Leverage data to understand our customers and our funnel in depth, identify opportunity areas and execute projects to grow customers and revenue.
• Build and scale products that power Samsara's revenue engine, including customer acquisition funnels, revenue pipeline generation platforms, lead management infrastructure, and GTM AI products.
• Develop AI-powered products and agents that drive revenue pipeline and improve GTM operational efficiency - whether that's enhancing lead scoring models, automating content generation and multi-step GTM workflows, enriching data, or building smarter seller-facing tools.
• Partner closely with Product, Design, Sales, and Marketing to implement growth initiatives.
• Serve as a technical leader, mentoring junior engineers, driving engineering discussions and architectural decisions, influencing adoption of AI, and implementing product development best practices.
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

Minimum requirements for the role:

• 6+ years of professional software engineering experience, preferably in full-stack or growth-focused environments.
• Proficiency in Python (Flask or similar frameworks) and JavaScript (ideally Vue.js or comparable frontend frameworks).
• Experience working with AWS or other cloud infrastructure platforms for deployment and scalability.
• Strong understanding of web architecture, performance optimization, and security best practices.
• Demonstrated ability to design, build, test, and deploy production-quality systems end-to-end.
• Experience using data and analytics to identify opportunities, measure impact, and iterate on solutions.
• Proven ability to collaborate cross-functionally with marketing, sales, and product teams to align technical solutions with business goals.
• Excellent debugging, technical communication, and problem-solving skills.

An ideal candidate also has:

• Strong business acumen and a curiosity about growth strategy, customer journeys, and go-to-market metrics.
• Adaptable, experiment-driven mindset with a track record of learning from testing and iteration in fast-paced environments.
• Experience using AWS services: Elastic Beanstalk, Amplify, Lambda, CloudFront, Kinesis, EventBridge and  experience developing Google Chrome Extensions
• Knowledge of any of the following GTM services: Salesforce, Contentful, Hightouch or any similar products.

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. 

The Electrical Engineer will play a pivotal role in designing innovative hardware systems for AI/ML applications. We are seeking a motivated Electrical Engineer with 2–4 years of experience in schematic capture, PCB design, and server hardware development. This role includes close collaboration with multiple partners to drive designs from concept through mass production. The ideal candidate is comfortable working across organizational boundaries, ensuring design quality, manufacturability, and on-time delivery in a fast-paced environment.

Responsibilities:

• Develop and maintain electrical schematics for various printed circuit assemblies
• Design and layout multilayer PCBs
• Work closely with partners to review designs, provide technical guidance, and ensure alignment with system requirements
• Drive design for manufacturability (DFM), design for assembly (DFA), and design for testability (DFT)
• Support server subsystem integration
• Participate in design reviews
• Support prototype builds, board bring-up, debugging, and validation
• Track and resolve design issues, including root cause analysis and corrective actions
• Ensure proper documentation, revision control, and engineering change management (ECO/ECN processes)

Requirements:

• Bachelor’s degree in electrical engineering
• 2–4 years of experience in schematic capture and PCB design
• Proficiency with PCB design and schematic tools
• Strong understanding of analog and digital circuit design fundamentals
• Experience with multilayer PCB layout
• Experience with lab equipment (oscilloscope, multimeter, logic analyzer)

Differentiators:

• Experience with server platforms or data center hardware
• Knowledge of power delivery network (PDN) design for high-power systems
• Familiarity with signal integrity and power integrity analysis tools
• Experience with compliance and validation (EMI/EMC, safety, regulatory)
• Exposure to global manufacturing environments and supply chain coordination
• Familiarity with PLM systems and change management workflows

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

JOB SUMMARY

We are seeking an early-career Simulation Engineer to join our growing Simulation team as a generalist contributor. This is an opportunity to learn humanoid simulation across its full breadth — from physics and contact modeling through scene authoring, asset pipelines, and developer tooling — while contributing to multiple ongoing initiatives at once.

You will work across several of the team's focus areas, with near-term emphasis on supporting our dexterous-hand simulation work. As we hire a senior owner for the Dexterity domain, you will help build the foundational infrastructure they will grow into, and over time develop depth in the area where your interests and the team's needs align best.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Dexterity Foundations: Build and maintain hand collision geometry (primitive decomposition, mesh cleanup). Author evaluation scenes and dexterity benchmarks in Isaac Lab / Isaac Sim from specifications. Run sim-to-real comparison experiments and produce comparison reports.
• Design-Time Simulation: Contribute to the CAD-to-simulation pipeline — kinematic graph extraction, collision geometry, mass and inertia property handling. Run design-space exploration experiments per protocols defined by senior team members.
• Robot Description & Asset Pipeline: Help maintain canonical robot models — joint limits, inertias, collision properties. Build and maintain regression tests and validation tooling for the robot assets the rest of the org depends on.
• Production Platform Contributions: Contribute to the simulation platform's tooling, examples, CI infrastructure, and developer documentation. Triage user-reported issues and help unblock other teams using the platform.
• Team Contributions: Own onboarding docs and example scenes that help new engineers get productive on the platform — your perspective as the newest team member is a real asset here.

SKILLS AND REQUIREMENTS:

Must-Have

• 0–2 years of professional software engineering experience (strong internship or research project experience qualifies)
• Strong Python skills
• Solid fundamentals: rigid body dynamics, linear algebra, spatial math, programming
• Coursework or project experience with robotics simulation, computational geometry, or computer graphics
• Demonstrated curiosity and willingness to work across multiple domains rather than specializing immediately

Nice-to-Have

• Hands-on experience with Isaac Sim, MuJoCo, Gazebo, or equivalent simulator (coursework or projects count)
• Familiarity with USD, URDF, MJCF, or other robot/scene description formats
• Exposure to mechanical engineering, robot hardware, or sim-to-real workflows
• Some C++ exposure
• Internship or research experience in robotics, gaming, or graphics

EDUCATION and/or EXPERIENCE:

• BS in Computer Science, Robotics, Mechanical Engineering, or related field. MS welcome but not

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 seeking a Staff Simulation Engineer to be the sole owner of dexterous hand simulation at Apptronik.

This is a high-autonomy, high-impact individual contributor role. You will define how hands are represented in simulation — from contact geometry and physics fidelity all the way through sim-to-real validation — and you will be the authoritative technical voice across Mechanical Design, Controls, and Hardware whenever simulation of the hand is in scope. There is no team beneath you, but your work directly unblocks multiple teams.

Core mandate: make simulation a reliable predictor of physical hand behavior, and own that standard end-to-end.

ESSENTIAL DUTIES AND RESPONSIBILITIES

Contact Dynamics & Physics Fidelity: Own the accuracy of contact simulation for high-DOF robotic hands. Model and tune contact parameters — stiffness, damping, friction, restitution — against real hardware measurements. Develop and maintain hand-specific collision geometry (primitive decomposition, mesh optimization) to ensure simulation contact behavior matches physical interaction.

Sim-to-Real Validation: Design and execute systematic sim-to-real validation workflows. Run side-by-side comparisons of grasping stability, fingertip contact forces, and joint behavior between simulation and hardware. Drive iterative parameter calibration using real sensor data — encoders, F/T sensors, tactile arrays — until simulation predictions are quantifiably reliable

Sensor & Actuator Modeling: Build accurate models of the hand's sensing and actuation systems within simulation — including tactile sensor response, actuator dynamics (compliance, backlash), and encoder noise characteristics.

Evaluation Scene Construction: Design and implement evaluation environments and dexterity benchmarks in Isaac Lab / Isaac Sim. Own the physical property modeling — contact materials, object mass/inertia, surface textures — required for high-fidelity task simulation.

Asset Pipeline: Contribute to CAD-to-USD conversion workflows as needed — collision mesh generation, joint limit extraction, kinematic parameter import. This is infrastructure support, not a primary focus.

SKILLS AND REQUIREMENTS

Must-Have

• 4+ years of hands-on robotic simulation experience (Senior); 7+ years (Staff)
• Experience with robotic hands or high-DOF manipulators
• Demonstrated experience with contact-rich simulation — not just kinematics and trajectory playback
• Experience with physics parameter identification (sysid) or domain randomization pipelines
• Proven ability to operate as a domain owner: setting technical direction, making independent architectural decisions, and driving cross-functional alignment through expertise
• Strong Python skills; C++ a plus
• Solid fundamentals: rigid body dynamics, contact mechanics, collision geometry, spatial math
• Hardware-grounded: experience running sim-to-real comparisons with real sensor data

Nice-to-Have

• Deep working knowledge of Isaac Sim, MuJoCo, or equivalent modern robotics simulator
• Familiarity with tactile sensing or F/T sensor integration in simulation
• USD proficiency: composition arcs, layers, stages
• Background in teleoperation or motion retargeting

EDUCATION and/or EXPERIENCE 

• MS or PhD in Robotics, Computer Science, Mechanical Engineering, or related fields.

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

Team Description:

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

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

Job Responsibilities:

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

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

Required Qualifications:

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

Preferred Qualifications:

• Prior experience developing software for safety-critical systems
  

About You:

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

Team Description:

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

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

Job Responsibilities:

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

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

Required Qualifications:

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

Preferred Qualifications:

• Prior experience developing software for safety-critical systems
  

About You:

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

We are seeking a software-engineering intern who learns rapidly, has strong programming fundamentals, and can pick up projects spanning surgical robotics, implant communication, manufacturing automation, cloud infrastructure, and BCI software.

If you have clear evidence of exceptional ability, strive in a hardcore environment, and crave ownership over technology that is changing lives, join us.

Team Description: 

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

Tech Stack:

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

Focus:

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

Qualifications: 

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

Team Description:

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

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

Job Description & Responsibilities:

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

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

Required Qualifications:

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

Additional Requirements and Competencies:

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

Team Description:

The Pathology and Digital Imaging team enables the rigorous preclinical studies our devices go through before reaching a user. Testing is precise; analyzing tissue to understand exactly what happened at the cellular level. This team is crucial for proving  safety, improving our  device, and pushing  science forward.

Histological analysis has shown that Neuralink's threads preserve 98% of neurons at the implant interface. The Pathology and Digital Imaging Team makes these kinds of analyses possible.

This is a small, tightly knit team, and you'll work directly with pathologists, technicians, and neuroscientists. You'll watch them use your software, hear what's slow, see what's confusing, and ship fixes and features fast. The feedback loop is measured in hours, not sprints.

Job Description and Responsibilities:

As a Software Engineer on the Pathology and Digital Imaging Team,  you'll own the software stack that powers Neuralink's pathology and histology operations. This spans the full lifecycle - from the moment tissue is collected at necropsy, through processing, staining, and imaging.

You’ll build the software that makes this analysis scalable: tracking thousands of tissue specimens from collection through microscopic analysis, giving scientists the tools to analyze billion-pixel images, and building AI tools to auto-analyze tissue response. Projects you will work on: 

• Tissue specimen tracking systems that follow samples, organ blocks, and slides through every step of the histology workflow
• A high-performance whole-slide image viewer that renders billion-pixel microscopy images in the browser
• Annotation and analysis tools that let scientists draw regions of interest, score pathology findings, and compare serial sections with image alignment and overlay
• ML annotation pipelines where model predictions are surfaced to scientists for validation, accelerating the analysis of large tissue datasets

Required Qualifications: 

• A bachelor’s degree in Computer Science or equivalent demonstrated work experience
• Strong full-stack engineering skills. Our stack is Ruby on Rails and React/TypeScript, but we care more about your ability to learn and ship than your resume matching our package.json
• You've built software that real people use
• You can talk to users, understand their problems, and translate that into well-built software. This role is deeply collaborative
• You take ownership. When your software breaks on the floor, you fix it
• You're comfortable with ambiguity. Manufacturing at this scale hasn't been done before for this kind of device

Team Description:

The Robot Manufacturing Software team allows Neuralink to build neurosurgical robots at a scale that has never been done before. Every robot that ships was tracked, assembled, calibrated, and verified through the software you'll build. This is the backbone of how we scale from early production to meeting real clinical demand.

We're a small, tightly knit team - and this role is the first dedicated owner of the robot manufacturing software stack. As the company scales, so will the complexity, and you'll be the one designing and building the systems that make all of that possible.

We operate as a tight, high-trust team. You'll have direct ownership and the autonomy to solve hard problems, but also high expectations.

We're moving fast to meet clinical demand and keep up with deployments. 60-hour weeks are not uncommon, and there are stretches where the pace is high. This isn't for everyone.

Job Description and Responsibilities:

As a Software Engineer on the Robot Manufacturing Team,  you'll work directly with robot engineers and surgical engineers to understand what they need, then build it. You won't be handed a spec doc from a product manager three layers removed from the problem. 

Some days you're heads-down writing code all day. On another day, you might spend a morning pairing with a robot engineer to understand a new calibration process, then spend the afternoon building the tracking system for it. The constant is that you're close to the problem and shipping solutions quickly. Projects you will work on: 

• Inventory and warehouse management systems that track every component going into a neurosurgical robot - from raw materials through final assembly
• Lifecycle management software that engineers use to build, calibrate, verify, and maintain robots throughout their entire lifespan
• Whatever else needs building. The scope of problems here is wide and constantly evolving. You'll have real ownership over the direction this stack grows

Required Qualifications: 

• A bachelor’s degree in Computer Science or equivalent demonstrated work experience
• Strong full-stack engineering skills. Our stack is Ruby on Rails and React/TypeScript, but we care more about your ability to learn and ship than your resume matching our package.json
• You've built software that real people use
• You can talk to users, understand their problems, and translate that into well-built software. This role is deeply collaborative
• You take ownership. When your software breaks on the floor, you fix it
• You're comfortable with ambiguity. Manufacturing at this scale hasn't been done before for this kind of device

Team Description:

The EPC team is responsible for all aspects of engineering, procurement, and construction ranging from greenfield site developments to tenant improvements at existing facilities at Neuralink. We regularly interface with cross-functional teams to identify their short and long term needs and provide purpose-built spaces for the future growth of our research and engineering teams.

We are looking for high-energy individuals who are comfortable working in a rapidly changing environment, who like to promote a culture of teamwork and clear honest communication, and have a genuine passion for design and construction. This position requires a highly organized mindset, an ability to perform at a high level on a consistent basis, a desire to work on multi-disciplinary projects, and an excitement to work at Neuralink!

Job Description and Responsibilities:

As a part of the design team, the senior mechanical engineer will create and optimize facilities by bringing conceptual designs to life, producing cutting-edge detailed designs of HVAC, hydronic (chilled water and heating water), plumbing, and process utility systems that are fully integrated with facilities and manufacturing processes. Work includes design of new construction and upgrades and alterations to existing facilities and infrastructure. This position supports construction, facilities, and cross-functional departments in ensuring optimally designed infrastructure systems to support all company functions.

• Scope, create conceptual designs, and produce final designs for a variety of project types for our offices, laboratory, clean room, manufacturing facility, warehouse, data center, vivarium, and animal care facilities
• Create high-quality BIM (REVIT) models, engineering drawings, and one-line diagrams for all mechanical, plumbing, and process systems
• Design HVAC, hydronic, plumbing, and process utility systems that are code-compliant, cost-effective, and to meet quality and schedule requirements.
• Build full construction drawing packages that include details, specifications, and sequences of operations
• Produce BAS and DDC controls documents, scopes of work, and vendor quotes
• Develop specifications, data sheets, and procurement RFPs for long lead mechanical and plumbing equipment
• Utilize relevant codes to ensure designs are code-compliant based on location-specific AHJ requirements
• Actively lead collaborative design efforts that include interfacing with architects and engineers across multiple disciplines
• Interface with the Neuralink construction team for constructability reviews
• Generate high-level cost estimates with material takeoff information
• Review and respond to contractor-generated RFIs and submittals

Required Qualifications: 

• Bachelor’s degree in mechanical engineering
• 5+ years of mechanical engineering industry experience
• Evidence of exceptional ability
• Professional Engineering License: Current possession of a Texas and/or California license, or the ability to obtain a Texas and/or California license within six months
• Expert Knowledge of AutoCAD and/or REVIT MEP
• Experience designing a cleanroom

Preferred Qualifications: 

• Experience in designing offices, laboratories, manufacturing facilities, and in the development of site infrastructure
• Working knowledge of industry software, such as Microsoft products, COMcheck, Carrier HAP, Trane Trace, Navisworks, and Bluebeam
  

Team Description:

The Brain Interfaces Team is responsible for the design, manufacturing, and testing of all systems related to the implant and charger. Our projects involve electrical and mechanical test systems, custom jigs and fixtures, electronics packaging and tooling at the interface between the implant and the surgical robot.

Job Description and Responsibilities:

As our Prototyping Lab Engineer & Manager, you will be instrumental in creating and maintaining an environment that enables our engineering and manufacturing teams to innovate and deliver groundbreaking medical devices. You will go beyond managing equipment and facilities; you will be a key enabler of technical and operational success, ensuring that the R&D lab spaces are designed for efficiency and collaboration. You will play a pivotal role in supporting the company’s growth by facilitating innovation, streamlining operations, and optimizing resource utilization. Additionally, you will be expected to:

• Engineering Lab Design and Operations:
• Design and build lab spaces to meet the evolving needs of the engineering and manufacturing teams
• Continuously improve lab capabilities and operations by implementing new technologies and optimizing space for faster and more efficient workflows
• Own and maintain inventory of all lab equipment, including tools, chemicals, and consumables
• Implement systems for lab organization and cleanliness, and train users accordingly
• Ensure spaces comply with safety regulations and industry standards
• Prototyping and Fabrication:
• Provide hands-on technical support to engineers and technicians by building prototypes, setting up stations and running tests 
• Utilize various fabrication methods, including additive and subtractive manufacturing, to produce high-quality prototype parts.
• Operate and maintain a range of machines and power/hand tools necessary for prototyping
• Manage multiple projects simultaneously, prioritizing tasks to meet tight deadlines and production schedules

Required Qualifications:

• Meticulous attention to detail and exceptional organizational skills
• Eye for aesthetic design and organization
• Familiarity with R&D lab equipment, tools and workflows
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams 
• Thrives in a fast-paced environment where flexibility and innovation are essential
• Hands-on experience with prototyping, model making, fabrication, testing, and lab operations
• Experience planning and building out labs and R&D workspaces

Preferred Qualifications:

• Previous experience in a prototyping environment
• Part design experience
• Experience programming and operating laser cutters, 3D printers, and CNC machines
• Knowledge of regulatory standards relevant to medical device development
• Experience with inventory management systems and quality control processes

Team Description:

The Brain Interfaces Mechanical Engineering team is responsible for the mechanical and manufacturing systems related to our implant, microfabricated thin-film electrodes, wireless charger, and associated accessories. This includes product design, electronics packaging integration, manufacturing line and facility design, test infrastructure design, and related activities for these core products. 

Job Description and Responsibilities:

As a Mechanical Engineer at Neuralink, you will own the design and production of hardware solutions for our brain-computer interface devices. Projects will be highly varied, leveraging both breadth and depth of first principles in mechanical engineering, manufacturing engineering, and test engineering. You will collaborate closely with other engineers (e.g., electrical engineers, chip designers, software engineers, robotics engineers) as well as neuroscientists, neurosurgeons, clinicians, animal care specialists, and other industry experts. You may own a major product from early concept to production, while also diving deep into smaller but essential manufacturing problems to unblock production. Responsibilities will include:

• Exploring early device architectures and downselecting to drive design and company direction
• Scoping projects and requirements, large and small, to hit aggressive project schedules and ensure timely completion from inception to implementation
• Performing market research and gathering feedback from our users (e.g., patients, surgeons, animal care team) to inform product direction
• Detailed designing of 3D CAD and 2D drawings with a heavy focus on DFX, and integration onto the manufacturing line
• Rapid prototyping with existing technologies, and developing or sourcing expanded capabilities
• Identifying key vendors and developing/maintaining relationships to expand our capabilities
• Developing, maintaining, and executing test plans and electro-mechanical test systems for verification and validation of products ranging from components to sub-assemblies, full consumer electronics products, or production environments
• Identifying and tackling manufacturing rate limiters and yield hitters
• Working with data acquisition systems and control systems to continually improve in-test and in-process data recording and system useability
• Providing insight into the design of tooling and equipment from development to full-volume production including poka-yoke, controls, and standardization of componentry
• Developing requirements for, sourcing, and pitching major equipment purchases to expand manufacturing and test capabilities; becoming the subject matter expert for this equipment and training other engineers and technicians
• Developing knowledge of and implementing compliance with relevant federal regulations (e.g., GxP, 21 CFR) as they pertain to medical device design and manufacturing
• Writing and maintaining design and manufacturing documentation for internal reference and submission to regulatory bodies

Required Qualifications: 

• Bachelor’s Degree in Mechanical Engineering or related field, or equivalent experience and ability
• 5+ years of mechanical engineering industry experience, owning products from concept to production 
• Strong grasp of engineering's first principles
• Experience with DFX, conventional machining, rapid prototyping technologies, and precision design + manufacturing 
• Proficiency in CAD (SolidWorks preferred)

Preferred Qualifications: 

• Experience in the design and manufacturing of implantable electromechanical medical devices
• Knowledge of ISO 13485, ISO 10993, 21 CFR, and related standards
• Experience scaling complex low to mid-volume production lines

Team Description:

The Brain Interfaces Mechanical Engineering team is responsible for the mechanical and manufacturing systems related to our implant, microfabricated thin-film electrodes, wireless charger, and associated accessories. This includes product design, electronics packaging integration, manufacturing line and facility design, test infrastructure design, and related activities for these core products.

Job Description and Responsibilities:

As a Manufacturing Engineer at Neuralink, you will be responsible for the design, development, and optimization of manufacturing processes and hardware from the ground up. This will include maintaining and supporting existing products and processes, troubleshooting failures, implementing updates, and ensuring long-term reliability. You will focus on creating efficient, scalable systems for producing brain interfaces, emphasizing innovation and quality assurance. Note that that ideal candidate is a mechanical engineer who loves to focus on manufacturing. Responsibilities will include:

• Scoping projects and requirements, large and small, to hit aggressive project schedules and ensure timely completion from inception to implementation
• Detailed designing of 3D CAD and 2D drawings with a heavy focus on DFX, and integration onto the manufacturing line
• Rapid prototyping with existing technologies, and developing or sourcing expanded capabilities
• Identifying key vendors and developing/maintaining relationships to expand our capabilities
• Developing, maintaining, and executing test plans and electro-mechanical test systems for verification and validation of products ranging from components to sub-assemblies, full consumer electronics products, or production environments
• Identifying and tackling manufacturing rate limiters and yield hitters
• Working with data acquisition systems and control systems to continually improve in-test and in-process data recording and system useability
• Providing insight into the design of tooling and equipment from development to full-volume production including poka-yoke, controls, and standardization of componentry
• Developing requirements for, sourcing, and pitching major equipment purchases to expand manufacturing and test capabilities; becoming the subject matter expert for this equipment and training other engineers and technicians
• Developing knowledge of and implementing compliance with relevant federal regulations (e.g., GxP, 21 CFR) as they pertain to medical device design and manufacturing
• Writing and maintaining design and manufacturing documentation for internal reference and submission to regulatory bodies

Required Qualifications:

• Bachelor’s Degree in Mechanical Engineering or related field, or equivalent experience and ability
• 3+ years of mechanical engineering industry experience
• Strong grasp of engineering's first principles
• Experience with DFX, conventional machining, rapid prototyping technologies, and precision design + manufacturing 
• Proficiency in CAD (SolidWorks preferred)

Preferred Qualifications:

• Experience in the design and manufacturing of implantable electromechanical medical devices
• Knowledge of ISO 13485, ISO 10993, 21 CFR, and related standards
• Experience scaling complex low to mid-volume production lines

Team Description:

As part of the Surgery & Robot Hardware Department, the Surgical Consumables Team is responsible for producing a wide range of critical mechanical devices that enable our life-changing surgical procedures. Balancing immediate needs with long-term scalability, we drive innovation with precisely engineered tools that ensure safety, reliability, and high-quality surgical execution.

Job Description and Responsibilities:

We’re looking for a Manufacturing Engineer to help scale the manufacturing of consumables used in our robotic surgeries. These consumables include the Needle Cartridge (the end effector that inserts electrodes into the cortex) as well as other complex mechanical assemblies and surgical proxies, like the one being assembled here.

In this role, you will help expand our team’s capabilities by supporting the build-out of a new manufacturing site in Texas while sustaining production at existing sites. You’ll work hands-on to troubleshoot manufacturing issues, analyze data, improve processes, and design fixtures. You will collaborate closely with hardware designers, machinists, quality engineers, and the surgery team to ensure parts are built correctly, released on time, and delivered where they’re needed. 

You will contribute to technical solutions for complex manufacturing problems and help design processes that scale as production ramps. This role is well suited to someone who enjoys working closely with hardware, learning how products move from development to production, and operating in a fast-paced environment. The Manufacturing Engineer will:

• Support day-to-day production to meet consumables demand across the company
• Provide manufacturability input as products move into more mature lifecycle stages
• Design, test, and implement production fixtures, tooling, workstations, and assembly aids
• Troubleshoot manufacturing issues, perform root cause analysis, and implement corrective actions
• Support quality control activities in compliance with Design Control requirements, cGMP, FDA regulations, and internal policies
• Generate and maintain manufacturing documentation, including work instructions, Device Master Records (DMRs), and Design History Files (DHFs)
• Conduct risk assessments and support mitigation efforts to ensure product safety and reliability
• Drive continuous improvement efforts focused on yield, throughput, and process robustness

Required Qualifications:

• Strong interest in manufacturing small, safety-critical assemblies where precision and quality are paramount
• Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Industrial Engineering, Biomedical Engineering, or a related field, or equivalent experience
• 1+ year of experience in manufacturing engineering or engineering design
• Experience in Solidworks (preferred), OnShape, Creo, or an equivalent CAD program
• Demonstrated ability to execute on hardware-focused projects
• Hands-on experience physically building hardware (machining, fabrication, soldering, assembly, prototyping, etc.); personal projects are a plus
• A genuine interest in manufacturing and passion for learning

Preferred Qualifications:

• Experience working in a manufacturing environment
• Familiarity with ISO 13485, FDA 21 CFR Part 820, or other regulated manufacturing standards
  
  

Additional Requirements and Competencies:

• This role will initially require frequent travel to Fremont, CA, which is expected to decrease over time

Team Description:

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

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

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

Job Description and Responsibilities:

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

Required Qualifications: 

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

Preferred Qualifications: 

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

Team Description:

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:

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)

Team Description:

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

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

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

Job Description and Responsibilities:

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

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

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

Required Qualifications: 

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

Preferred Qualifications:

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

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

Team Description:

The Brain Interfaces 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: 

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: 

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

Job Description & Responsibilities: 

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

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

Required Qualifications:

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

Preferred Qualifications: 

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

Team Description:

The Robot Optics Team is seeking Optical Engineers passionate about shaping the future of operating rooms. We are responsible for all optical engineering aspects of Neuralink surgeries, which includes working on our surgical robotics, supporting operating room equipment, and manufacturing custom consumables. The core device we work on is the robotic system that performs implant insertions. Key subsystems include 2D and 3D machine vision cameras, optical coherence tomography, and surgical site illuminators.

Our team oversees the entire product lifecycle of all optical subsystems across multiple robot versions, from ideation and design through production, testing, and maintenance. We also design hardware for producing and inspecting consumables, such as laser-machined needle cartridges. As we manufacture a significant portion of our hardware in-house, our core activities include bring-up testing, designing hardware acceptance testers, and overseeing manufacturing processes. 

Job Description and Responsibilities:

As an Optical Engineer at Neuralink, you will develop custom optics and imaging systems used directly in our surgical robot and associated consumables-manufacturing systems. These systems impact everything from sub-micron conventional imaging and laser scanning imaging to non-imaging optical power delivery. You will have the opportunity to work closely with mechanical, electrical, and software engineers on the Robotics Team and collaborate with neuroscientists and biologists in the rest of the company. You will be responsible for designs from conception through to implementation as well as prototyping and building these optical systems quickly with the rest of the team. Other job responsibilities will include:

• Designing and simulating optical imaging systems
• Testing, verification, and maintenance of robot vision systems
• Designing and developing custom laser interferometry systems and manufacturing systems
• Testing and verification of optics consumables
• Building and testing of beam-scanning instruments
• Developing image acquisition and processing software
• Researching and developing new imaging technologies for robotic surgeries
• Preparing relevant documentation and SOPs for robot optics

Required Qualifications:

• Evidence of exceptional ability in optical engineering or a related field
• Bachelor of Science or higher-level degree in Physics, Optical Engineering, or Mechanical Engineering
• 3+ years of optical engineering experience
• 2+ years of experience simulating and designing optics in Zemax or equivalent software
• Practical experience in designing, testing, and reliability hardening optical systems
• Basic computer skills and proficiency in Google Docs, Google Drive, and Gmail

Preferred Qualifications:

• Experience in designing and testing of in-vivo imaging systems
• Experience in handling high power laser instruments
• Basic understanding in laser interferometry or optical coherence tomography
• Hands-on experience in fabricating, terminating, and splicing optical fibers
• Software engineering experience in developing scripts for instrument testing

A new paradigm of computing

Magic Leap is a pioneer in Augmented Reality (AR) optics, display systems, platforms, devices services, prototyping and manufacturing capabilities. We are known for our unmatched optics stack and have developed ultra-lightweight waveguides and display systems that advance what is possible in AR. With more than a decade of experience in AR innovation, we have made groundbreaking advancements in text legibility, color fidelity and rich digital content visuals while continually expanding the field of view to create engaging, immersive AR experiences. 

Magic Leap could be your place if you want to be part of a united team where everyone is empowered and trusted to make an impact. At Magic Leap, you can explore innovative solutions and use your talents to solve real-world problems. Working alongside industry experts, you can grow your skills while helping make our technology available to millions of people as a partner in the AR ecosystem.  We know that successful change and progress accelerate diverse perspectives. As we shape our future, everyone's voice matters. Together, we can reimagine the world of work and, with our bold partners, make the impossible possible.

The opportunity 

We are seeking an experienced, hands-on Senior Manager, Metrology & Optical Test expert to lead a focused group of engineers in our waveguide manufacturing team. This leadership role involves overseeing all aspects of measurement, calibration, and instrumentation, including nanostructure characterization and optical performance testing for outgoing products. Responsibility spans across the organization, ensuring the highest standards of accuracy and compliance are maintained to deliver on customer requirements. The ideal candidate will be a leader and player/coach with a deep technical understanding of metrology and optical test principles, quality systems, and advanced measurement equipment. This role is integral to advancing our Optics NPI and Manufacturing practices and will work closely with cross-functional design, process, materials, and integration teams.

Location: This role will be based fully onsite in Austin, TX. Relocation assistance is available for non-local candidates.

What you’ll do 

• Strategy and Leadership:
  • Develop and implement the Optical NPI and Manufacturing metrology strategy, ensuring alignment with overall business objectives and quality standards.
  • Lead a small team of metrology and optics professionals, defining actionable goals, developing their professional growth, while fostering a culture of continuous improvement.
  • Lead and develop best practices for problem solving (8D, 5 Whys, Fishbone, etc.) and technical communication. 
  • Seamless integration of workflows across R&D, Manufacturing, NPI, and Materials team to deliver solutions to support manufacturing operations activities from early NPI through High Volume ramp.
  • Ownership of delivering clear, concise technical documentation and presentations, and building effective partnerships across teams and with external suppliers.
• Measurement and Optical Test Tools:
  • Oversee the maintenance, calibration, and verification of all measurement and test equipment (M&TE) to maintain traceability and compliance with national and international standards (e.g., ISO/IEC 17025, ISO 9001).
  • Establish and enforce standard operating procedures (SOPs) for all metrology and optical test processes, including measurement uncertainty analysis, gauge R&R studies, and calibration schedules.
  • Define, develop, budget, and qualify advanced testing/characterization techniques to deepen the fundamental understanding of waveguide materials, processes, and their impact on device performance. This includes recipe/configuration setups, statistical validation such as GR&R and matching studies, calibrated standards, golden unit creation,  long-term stability (LTS), and factory and site acceptance testing for new equipment.
• Technical Expertise and Support:
  • Serve as the primary subject matter expert (SME) for all complex dimensional, mechanical, and electrical measurement challenges, providing technical guidance to cross-functional teams (e.g., R&D, Manufacturing, Quality).
  • Apply expertise in metrology, characterization, optics, and nanofabrication to support imprint and replication processes, wafer cleaning, plasma etch, chemical vapor deposition (CVD), and metals deposition.
  • Establish project priorities and manage resources, ensuring efficient workflow across metrology (AFM, ellipsometry, interferometry, and other characterization equipment) and waveguide optical testers (for KPIs such as ANSI, MTF, Transmission, etc).
  • Analyze Interpret data from metrology equipment, including identification of potential measurement errors, tool variance, and tester to tester correlations. 
• Operations and Compliance:
  • Manage the departmental budget, including definition of capital equipment requirements and resource allocation.
  • Drive the selection, procurement, and implementation of new metrology and optical test technologies and software to enhance measurement capabilities and efficiency.
  • Act as the representative for all external audits related to metrology and optical test solutions.
  • Collaborate with the Quality department to ensure metrology practices support the company's Quality Management System (QMS).

The experience you bring

• Bachelor’s or Master’s degree in Engineering, Physics, or a related technical field. 
• Minimum of 8 years of progressive experience in metrology, quality control, optical test, or precision manufacturing, with at least 3 years in a management or leadership role. Minimum 7 years of hands-on experience in advanced materials characterization techniques.
• Technical Expertise:
  • In-depth knowledge of geometric dimensioning and tolerancing (GD&T) per ASME Y14.5.
  • Demonstrated expertise in measurement uncertainty budgets and calculations, sensitivity analysis, and variance analysis.
  • A strong statistical background and experience in large data set analysis using industry standard tools (e.g., JMP, R, Python, Matlab).
  • Proficiency with various measurement systems, including CMMs, optical scanners, vision systems, and conventional gauges.
  • Hands-on experience with materials and nanostructure characterization methods, including SEM, AFM, ellipsometry, interferometry, XRD, EDX, uXRF, FTIR, DSC, and TGA.
• Standards Knowledge: Strong working knowledge of relevant international quality and metrology standards (e.g., ISO 9001, ISO/IEC 17025). Knowledge of statistical methods (MSA/GRR) and process improvement techniques.  
• Work Environment: 
  • Must be comfortable working in a cleanroom laboratory environment, adhering to all safety and contamination control protocols.
  • Demonstrated ability to perform effectively in fast-paced environments and under tight deadlines.

It’s exciting if you also have

• Ph.D. in Materials Science, Engineering, Chemistry, Chemical Engineering, Applied Physics, or a closely related discipline is highly desirable.
• Certification as a Certified Quality Engineer (CQE) or Certified Metrology Manager.
• Experience in a regulated industry (e.g., aerospace, medical devices, automotive, semiconductor, or AR hardware development).
• Six Sigma Greenbelt or equivalent experience.
• Demonstrated experience implementing laboratory information management systems (LIMS) or similar calibration management software and manufacturing systems integration.
• Experience in custom scripting for data post-processing (e.g., JMP, R, Python, Matlab).

Additional Information

All your information will be kept confidential according to Equal Employment Opportunities guidelines.

Please note that we do not accept any application documents via (e-)mail. Furthermore, we do not accept applications from recruitment agencies for this role.

All legitimate Magic Leap email communications will end with "@magicleap.com". Please carefully review all emails you receive, to ensure you only engage with legitimate representatives of Magic Leap. For the protection of your Personal Information, do not click any links, open any attachments, or further engage with any suspicious communications. In the event you receive an unexpected or suspicious communication claiming to come from Magic Leap, please reach out directly to TalentAcquisition@magicleap.com for assistance.

Accommodations

If you need an accommodation during the application, interviewing, or hiring process, you may request an accommodation by emailing ApplicantAccommodation@magicleap.com. Magic Leap will reasonably accommodate qualified individuals with disabilities to the extent required by applicable law.

#LI-SM2

#LI-ONSITE

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

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

The Team 

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

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

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

Responsibilities and Duties 

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

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

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

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

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

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

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

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

Candidate Profile 

Essential 

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

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

• Experience developing diagnostics or monitoring systems for hardware platforms. 

• Experience working with distributed systems or cloud infrastructure. 

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

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

• Strong analytical and debugging skills. 

• Excellent communication and collaboration abilities. 

Desirable 

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

• Familiarity with hyperscale data center infrastructure. 

• Experience building cluster-level monitoring or diagnostics systems. 

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

About us

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

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

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.

JOB SUMMARY

We are seeking a Field Service Engineer to join our team as part of our Humanoid product ecosystem. As a Field Service Engineer at Apptronik, you will be responsible for daily robot and system operation, repairs, maintenance, and spare parts management at both Apptronik and customer facilities. This role is primarily focused on maintaining high uptime on robotic systems, documenting performance, tracking fleet reliability, and training other team members. You will work closely with cross-functional teams providing feedback on how to implement this new system, improve the design, and integrate it with various other technologies

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES

• Report daily status of robots and connected equipment (at Apptronik and customer sites)
• Perform all activities related to system bring-up, troubleshooting, emergent service, preventative maintenance, and spare parts management
• Document processes, work instructions, user manuals, troubleshooting guides, knowledgebase articles, FAQ’s, training plans, and any other materials needed to maximize system uptime
• Create status reports, dashboards, Pareto charts, and other analyses to show key metrics
• Record and document system performance, issues, and suggestions for improvement
• Travel to customer sites as necessary to perform system repairs, maintenance, and training
• Support the integration of the fleet management platform with customer WMS, WES, and MES to enable deployment in customer facilities
• Define requirements, prioritize tasks, and ensure timely customer support in close partnership with systems engineering and product management
• Champion best practices in customer support, ensuring high standards of field service, scalability, and reliability
• Collaborate with product, project, and engineering teams to support the design and implementation of scalable and resilient systems

SKILLS AND REQUIREMENTS

• Track record of owning all aspects of spares, repairs, and maintenance on early stage products
• Problem-solving in high pressure situations at customer facilities against stringent SLA’s
• Solid understanding of automation equipment, fleet management systems, IoT, and related technologies
• Excellent communication skills and demonstrated ability to present to company senior leadership and customer representatives
• Be an agent of change, fostering a culture of collaboration, creativity, innovation, and continuous improvement
• Ability to work alone or in a cross-functional team setting
• Collaboration with product and engineering on Design for Serviceability analyses
• International travel likely; passport highly desired
• Travel up to 50% may be required

EDUCATION and/or EXPERIENCE

• Bachelor’s degree in a technical discipline (engineering, robotics, computer science, etc.) or equivalent experience
• Proven Experience (2+ years minimum, 5+ years preferred) in servicing and maintaining complex electro-mechanical systems (robotics and automation a plus)
• Experience with command line interface on PC systems
• Familiarity with software systems, especially Linux, R-Viz, Plot Juggler, and ROS
• Familiarity with Jira Service Management for issue ticketing, reporting, and tracking
• Experience in deploying and integrating cloud-based platforms with warehouse and manufacturing management systems highly desired
• Experience soldering (through hole and surface mount) a plus
• Experience training others (company and customer personnel) a plus
• Experience operating in a VR environment a plus
• Familiarity with Unity or other video game engines and SteamVR is a plus

PHYSICAL REQUIREMENTS

• Prolonged periods of sitting at a desk and working on a computer
• Must be able to lift 25-45 pounds at times
• Vision to read printed materials and a computer screen
• Hearing and speech to communicate
• International travel likely; passport highly desired
• Travel up to 50% may be required

Position Summary 

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

Ideal Candidate Profile 

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

Key Responsibilities 

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

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

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

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

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

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

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

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

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

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

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

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

Qualifications 

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Location 

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

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

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

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

Who You Are

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

What We Need

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

What You Will Learn

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

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

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

The role is Design for Test (DFT) for high-performance designs going into industry leading AI/ML architectures. The person coming into this role will be involved in all implementation aspects from RTL to tapeout for various IPs on the chip. High level challenges include reducing test cost while attaining high coverage, and facilitating debug and yield learnings while minimizing design intrusions. The work is done collaboratively with a group of highly experienced engineers across various domains of the ASIC.

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

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

Who You Are

• You have a BS/MS/PhD in EE/ECE/CE/CS with 5+ years of industry experience in advanced DFx/DFT for complex ASIC/SoC designs.
• You are fluent in Verilog RTL for DFT logic (lock-up latches, clock gates, scan anchors) and comfortable with SystemVerilog/UVM.
• You have hands-on experience with ATPG and DFx insertion tools, fault models (Stuck-at, Transition, Path Delay, IDDQ, Cell-Aware), and low-power design flows.
• You bring strong debug and problem-solving skills across design hierarchies and collaborate effectively with design, PD, verification, and test teams.

What We Need

• Implement and integrate DFT features (scan, JTAG, compression, ASST, MBIST) into RTL from early design through tapeout across multiple IPs.
• Own ATPG, test coverage analysis, and gate-level simulation (e.g., with Synopsys VCS/Verdi) to achieve and maintain high-quality test coverage.
• Plan, implement, and verify MBIST, and work closely with Test Engineering on test planning, pattern delivery, and debug.
• Develop and refine DFx flows and methodology that integrate cleanly with front-end and physical design flows, balancing coverage, test cost, and design intrusiveness.

What You Will Learn

• How to drive DFT for industry-leading AI/ML architectures, working on high-performance chips with aggressive performance and power targets.
• Practical strategies to reduce test cost while maintaining coverage, and to design DFT hooks that accelerate silicon bring-up and yield learning.
• How to minimize DFT intrusions while integrating cleanly with RTL, verification, physical design, and production test flows.
• How a senior, cross-functional ASIC team collaborates across design, PD, verification, and manufacturing to achieve first-pass silicon success on advanced nodes.

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

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

Tenstorrent is looking for a Staff Product Development Engineer - ATE Content Developer, who will be focused on core content development for high-performance AI/ML silicon. They  will be responsible for developing production test programs on ATE test platforms, translating DFT/ATPG content into optimized ATE solutions, and implementing Streaming Scan Network (SSN) architectures for efficient test data delivery. High level challenges include reducing test cost while maintaining coverage targets, optimizing test time for chiplet and multi-die architectures, and enabling rapid yield learning through robust test methodologies. The work is done collaboratively with a group of highly experienced engineers across DFT, design, product, and manufacturing domains.

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

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

Who You Are

• An experienced semiconductor test engineer with 7 years and a BS/MS in EE/ECE/CE and a track record testing complex digital devices on advanced nodes.
• Hands-on with Advantest V93K and/or Teradyne UltraFlex+ platforms, comfortable owning production test programs end‑to‑end.
• Deeply familiar with DFT/ATPG flows and test architectures: scan chains, MBIST, compression, JTAG/IEEE 1149.1, and common fault models (stuck‑at, transition, path delay, cell‑aware).
• Proficient in C/C++ or Java, with strong scripting skills in Python, Perl, or TCL to automate flows, pattern handling, and data analysis.
• Skilled at debugging across ATE hardware, test programs, and silicon, and at using data to drive root‑cause analysis and yield improvement.

What We Need

• Develop and optimize production test programs on Advantest V93K using the SmarTest 8 environment, from bring‑up through high‑volume manufacturing.
• Translate ATPG patterns (STIL/WGL) into production‑ready test content, balancing test time, coverage, and cost for chiplet and multi‑die AI/ML devices.
• Implement and debug Streaming Scan Network (SSN) based content for high‑speed scan delivery, ensuring robust and scalable scan test infrastructure.
• Own test content for scan, BIST, and memory test structures, collaborating with DFT teams on pattern debug, fault diagnosis, and coverage improvement.
• Support silicon bring‑up and debug in the lab and at manufacturing sites, including correlation, corner characterization, and PVT studies.
• Build and maintain automation scripts and test methods that improve productivity, repeatability, and quality across the test lifecycle.
• Document test architectures, flows, and debug procedures so they can be scaled across products, sites, and engineering teams.

What You Will Learn

• How to test and scale cutting‑edge AI/ML silicon with chiplet and multi‑die architectures, including exposure to 2.5D/3D packaging and HBM integration.
• Deeper expertise in SSN architectures, high‑speed scan delivery, and next‑generation DFT/test methodologies for complex HPC/AI devices.
• How to drive end‑to‑end yield learning: from ATE data and STDF analytics through to design, DFT, and manufacturing process feedback.
• How a fast‑growing AI hardware startup coordinates DFT, design, product, and manufacturing to bring new silicon from first silicon to high‑volume production.
• Opportunities to influence test strategy, infrastructure, and automation roadmaps for future products and platforms as Tenstorrent’s portfolio scales.

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

JOB SUMMARY

We're looking for highly motivated and talented engineers with hands-on experience and a passion for robotics to join our team. Specifically, we seek a Mechanical Engineer with proven capabilities in electric actuation design – electric motors, drivetrains, electromechanical packaging, joint/mechanism design, and testing to support the development of our next-generation humanoid robotics system.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES

• Lead detailed design and analysis of actuators (rotary and linear)
• Guide junior engineers to improve their designs
• Collaborate with a small cross-disciplinary team of engineers
• Participate in creative brainstorming for concept generation
• Conduct engineering analysis to drive design decisions
• Compare concepts via iterative design, prototype, assembly, and test
• Perform analysis (FEA, etc.) to optimize and validate design
• Create GD&T-informed drawings, a Bill of Material, and procurement documentation
• Produce assembly instructions and finalize project documentation
• Participate in pilot build of your designs
• Perform DVP&R to ensure design meets requirements
• Iterate on design to harden for scalability and DFMA

SKILLS AND REQUIREMENTS

• Mastery of engineering fundamentals / first principles
• High proficiency in CAD (NX, SolidWorks, Creo, or similar)
• Demonstrated hands-on experience prototyping and testing mechanical components.
• Exceptional attention to detail
• Excellent teamwork and collaboration
• Outstanding organizational and time management skills
• The ability to multi-task and manage conflicting deadlines
• Strong written and verbal communication
• Great team player able to perform within a dynamic start-up environment
• Knowledge of kinematics, structures (statics), dynamics, joints/mechanisms, and electromechanical packaging optimization

EDUCATION and/or EXPERIENCE

• Bachelor’s degree (or equivalent) in Mechanical Engineering or related field
• 6+ years in development of actuation and/or robotic systems or similar

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