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

JOB SUMMARY

As a Senior Perception Learning Engineer, you will lead research and development of advanced perception systems that empower Apptronik’s humanoid robots to understand and interact with complex human environments. Your work will focus on cutting-edge research in perception, SLAM, object detection, world modeling, and multi-sensor fusion, creating the foundation for robust autonomy in real-world settings.

You will design and optimize deep learning models for real-time detection, tracking, segmentation, and scene understanding while architecting scalable pipelines for training, evaluation, and deployment. You will also integrate data from multiple modalities—Cameras, LiDAR, depth sensors, and IMUs—into unified world models that support navigation, manipulation, safety and human-robot interaction.

This role requires balancing research innovation with practical engineering to deliver deployable, high-performance perception stacks. You will collaborate across Reinforcement learning teams, Platform software team and systems teams, mentor junior engineers, and contribute to shaping Apptronik’s long-term perception and autonomy roadmap. Your work will directly accelerate the development of humanoid robots that can safely operate in human spaces, adapt to dynamic environments, and extend human capability.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES

• Lead the design, development, and optimization of perception pipelines for humanoid robots, including object detection, tracking, segmentation, pose estimation, and scene understanding.
• Develop multi-sensor fusion frameworks that integrate cameras, LiDAR, depth sensors, and IMUs for robust real-time perception in dynamic human-centered environments.
• Architect and maintain scalable data pipelines, training infrastructure, and inference frameworks to accelerate model development, evaluation, and deployment.
• Drive research and deployment of deep learning models optimized for humanoid locomotion, manipulation, and human-robot interaction.
• Implement performance profiling, regression testing, and telemetry systems to ensure perception modules meet strict latency, accuracy, and reliability requirements on edge devices.
• Collaborate with planning, control, and hardware teams to define perception-to-action interfaces, ensuring real-time compatibility with locomotion and manipulation pipelines.
• Guide the integration of synthetic data (e.g., simulation frameworks like IsaacSim) with real-world datasets to enhance model generalization and robustness.
• Mentor junior engineers and contribute to best practices in code quality, model versioning, reproducibility, and deployment.

EDUCATION and/or EXPERIENCE

• MS/PhD in Computer Science, Robotics, Computer Engineering, or related field.
• 3-5+ years of experience building and deploying perception systems for robotics, autonomous vehicles, or real-time vision applications.
• Strong background in deep learning for computer vision, with practical expertise in detection, segmentation, multi-object tracking, and 3D perception.
• Hands-on experience with modern AI frameworks (PyTorch, JAX, TensorFlow) and computer vision / multi-modal libraries such as OpenCV, Detectron2, YOLO, and foundation models for perception and language (e.g., SAM, CLIP, DINOv2, Flamingo)
• Proficiency in Python and modern C++, with strong software engineering fundamentals (version control, testing, CI/CD).
• Deep understanding of 3D geometry, camera models, and probabilistic estimation (EKF/UKF, SLAM, VIO).
• Experience deploying optimized models on edge hardware (GPU/NPU/embedded platforms) under compute, latency, and thermal constraints.
• Track record of shipping ML/Perception systems from R&D into production robotics platforms.

Preferred Qualifications

• Experience with humanoid robots, bipedal locomotion, and manipulation tasks.
• Strong classical computer vision skills (geometry-based methods, feature extraction) complementing deep learning approaches.
• Expertise in model acceleration, quantization, or compression (TensorRT, ONNX Runtime).
• Familiarity with real-time frameworks and middleware such as ROS 2, GStreamer, or zero-copy pipelines.
• Knowledge of synthetic data generation and domain adaptation techniques for training perception models.
• Contributions to open-source robotics or vision software stacks.

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 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

JOB SUMMARY

As a Real-Time Controls Intern, you will play an active role in the development of the software that enables Apollo to move and interact with the world. You will contribute to the Real-Time Controls team by helping build and test the software layers that bridge high-level commands with physical hardware execution. This role is designed for a student or researcher eager to apply their knowledge of physics and programming to a production-grade humanoid robot, ensuring our systems perform reliably in real-world human environments.

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Support the development and testing of real-time C++ software modules that drive robot motion.
• Assist in the integration of sensor data and firmware feedback into the core control loops.
• Help implement and validate mathematical models used for robot limb positioning and movement.
• Contribute to the software interfaces that translate high-level behavioral goals into executable robot tasks.
• Gather and analyze performance data from both physical hardware and simulation environments.
• Write unit tests and maintain clear documentation for software features to ensure system stability.
• Participate in team code reviews and contribute to a collaborative, agile development process.
• Represent and lead with Apptronik's core values: CHIPC - Curiosity, Humility, Integrity, Passion, Creativity.

SKILLS AND REQUIREMENTS

• Foundational C++: Basic understanding of Modern C++ (e.g., classes, memory management, and OOP principles).
• Scripting: Proficiency in Python for data analysis, automation, or testing.
• Physics & Math Foundations: Solid understanding of Newtonian physics (forces, torques) and linear algebra (vectors, matrices, and coordinate systems).
• Robotics Basics: Familiarity with standard robot components like actuators, encoders, and IMUs.
• Development Tools: Experience with Git for version control and comfort working in a Linux environment.
• Collaborative Mindset: Strong communication skills and a desire to solve complex problems within a multidisciplinary team.

EDUCATION and/or EXPERIENCE

• Currently pursuing a BS, MS, or PhD in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, or a related field.
• Relevant experience through personal projects or academic research projects focused on robotics, motion, or physical simulation.

PHYSICAL REQUIREMENTS

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

JOB SUMMARY

As a Senior Software Engineer on the Autonomy team at Apptronik, you will design and deploy learning-driven, mission-level autonomy systems that enable humanoid robots to operate robustly in real-world human environments. Your work focuses on the coordination, execution, and adaptation of robot behaviors using learning-based approaches rather than hand-authored task planners.

You will build the software that allows humanoid robots to reason over goals, adapt to dynamic environments, and execute complex missions by integrating outputs from perception, navigation, manipulation, and control systems. This role sits at the intersection of autonomy research and production engineering, with a strong emphasis on real-world deployment, robustness, and scalability.

You will collaborate closely with Perception, Navigation, Controls, Reinforcement Learning, and Platform teams, and help shape Apptronik’s long-term autonomy strategy.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES

• Design and implement mission-level autonomy systems for humanoid robots, focusing on learning-based decision making and behavior execution.
• Develop policy execution, monitoring, and coordination layers that integrate learning-based components with classical robot subsystems.
• Build autonomy frameworks that support adaptive behavior, generalization across tasks, and robustness to uncertainty and environmental variation.
• Implement recovery, fallback, and safety mechanisms around learning-based autonomy to ensure reliable real-world operation.
• Define and maintain clean interfaces between autonomy, perception, navigation, manipulation, and control systems.
• Collaborate with Reinforcement Learning teams to integrate trained policies into real-time robot software stacks.
• Develop infrastructure for telemetry, logging, evaluation, and replay to understand and debug autonomy behavior.
• Validate autonomy systems in simulation and on physical humanoid robots, closing the loop from research to deployment.
• Contribute to autonomy architecture, code quality, CI/CD pipelines, and long-term maintainability.
• Mentor junior engineers and provide technical leadership within the autonomy organization.

SKILLS AND REQUIREMENTS

• Strong proficiency in modern C++ and working knowledge of Python in Linux environments.
• Experience integrating learning-based policies (e.g., reinforcement learning, imitation learning, foundation-model-based policies) into real robot systems.
• Solid understanding of robotics systems, including:
  • State representation and estimation interfaces
  • Interaction between autonomy, perception, navigation, and control
  • Real-time and distributed software systems
• Experience deploying autonomy software on physical robots, including debugging and tuning under real-world constraints.
• Familiarity with ROS 2, message-passing architectures, and modular robot software design.
• Strong software engineering fundamentals: testing, CI/CD, code reviews, documentation, and system reliability.

PREFERRED QUALIFICATIONS

• Experience with humanoid robots, mobile manipulators, or legged robotic systems.
• Hands-on experience with reinforcement learning or learning-based control for robotics.
• Familiarity with foundation models for robotics (e.g., vision-language-action models, multimodal policies).
• Experience designing safe wrappers, monitors, or supervisors around learning-based systems.
• Contributions to open-source robotics, autonomy, or ML infrastructure.
• Experience working in fast-paced robotics startups or deploying systems into production.

EDUCATION and/or EXPERIENCE

• MS, or PhD in Robotics, Computer Science, Computer Engineering, or a related field.
• 2+ years of experience developing robot autonomy or learning-based robotic 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

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

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

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

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES

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

SKILLS AND REQUIREMENTS

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

EDUCATION and/or EXPERIENCE

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

PHYSICAL REQUIREMENTS 

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

Employer: Apptronik, Inc.

Location: 11701 Stonehollow Drive, Suite 150, Austin, TX 78758 (May work from home on a hybrid schedule within commuting distance of the Austin, TX office. Requires up to 10% domestic and international travel to various unanticipated client sites.)

Duties:

Deliver state-of-the-art planning and controls algorithms on high performance humanoid robot hardware. Characterize and improve the quality of robot locomotion and manipulation. Collaborate with Autonomy, Perception, and other teams to enable a broad range of robot behaviors. Implement rigorous unit and integration testing of control algorithms and implementation. Maintain comprehensive and accurate architecture and design documentation. Deliver reliable software through code reviews, continuous integration, and automated testing.

Minimum Requirements:

Master’s degree (or foreign equivalent) in Electrical Engineering, Computer Engineering, Mechanical Engineering, Robotics Engineering, or a closely related field and two (2) years of experience in a related occupation with the following: implementing high-performance model-based or model-free controls of dynamic robots; troubleshooting hardware including high torque electric motors, cameras and LiDAR sensors for robot perception, end-effector for grasping and manipulation, as well as linear and rotary joints; applying robotics fundamentals including kinematics, dynamics, controls, and estimation; utilizing modern C++ and object-oriented programming in a Linux development environment; using standard CI tools such as Git while following rigorous documentation and testing standards; and working with common robotics and controls packages including ROS, URDF, MuJoCo, and Eigen.

To Apply: Please visit our careers page at https://apptronik.com/careers.

Employer: Apptronik, Inc.

Job Title: Software Engineer – Platform

Location: 11701 Stonehollow Drive, Suite 150, Austin, TX 78758 (May work from home on a hybrid schedule within commuting distance of the Austin, TX office.)

Duties: Design, develop, and maintain scalable and reliable platform software solutions that support the deployment and operation of robotic systems. Collaborate with cross-functional teams to define architecture, requirements, and integration points for platform components. Implement robust APIs, services, and frameworks to facilitate seamless communication between hardware and software components. Lead efforts in optimizing performance, scalability, and reliability of platform software in constrained computer environments. Drive best practices in software engineering, including code reviews, testing, and documentation. Troubleshoot and debug complex issues in production environments, ensuring rapid resolution and minimal downtime. Drive the software bring-up effort for next-generation hardware in close partnership with the hardware team.

Minimum Requirements: Bachelor’s degree (or foreign equivalent) in Computer Engineering, Computer Science, Electronic Engineering, or a closely related field plus five (5) years of experience in a related occupation performing each of the following: software development with a focus on designing and building scalable platform software; Programming and development using C/C++; Building and deploying applications for Linux environments; Developing for Real-Time Operating Systems (RTOS); Performing hardware bring-up and debugging for microcontroller-based boards; and Designing and implementing automation and integration tests.

Alternative Requirements: Master’s degree (or foreign equivalent) in Computer Engineering, Computer Science, Electronic Engineering, or a closely related field and two (2) years of experience in a related occupation performing each of the following: software development with a focus on designing and building scalable platform software; Programming and development using C/C++; Building and deploying applications for Linux environments; Developing for Real-Time Operating Systems (RTOS); Performing hardware bring-up and debugging for microcontroller-based boards; and Designing and implementing automation and integration tests.

To Apply: Please visit our careers page at https://apptronik.com/careers.

JOB SUMMARY

The Senior Software Engineer – Wheeled Controls is responsible for developing and deploying the high-performance motion control systems that power our robotic mobility. This role focuses on the critical software layer that coordinates wheeled mobility with upper-body manipulation, ensuring our platforms move and interact with precision, stability, and reliability in complex environments.

You will lead the development of estimation and control algorithms that unify wheel mobility and manipulation into a cohesive whole-body framework. As a senior member of the team, you are an expert at taking robotic platforms through the full lifecycle—from initial algorithm design to commercial-grade deployment. You thrive on the challenge of coordinating base motion with arm/torso dynamics, managing coupled reaction forces, and ensuring our products are robust enough for mission-critical applications.

ESSENTIAL DUTIES & RESPONSIBILITIES

• Algorithm Development: Design, implement, and tune whole-body controllers that coordinate wheeled base motion with upper-body manipulation. This includes state-estimation (EKF, UKF), base controllers (MPC, PID), and arm/torso trajectory tracking with dynamic coupling compensation.
• Hardware-to-Software Interfacing: Develop the low-level software interface between high-level planning stacks and both wheel drive and upper-body actuators (joints, grippers), ensuring deterministic performance, low-latency communication, and coordinated multi-DOF control.
• Productization & Safety: Drive the transition of wheeled platforms to market-ready status. This includes implementing safety-rated speed monitoring, emergency stop logic, and ensuring compliance with industry safety certifications ((e.g., ISO 13849, ISO 10218, ANSI/RIA R15.08)
• Planning Integration: Work closely with perception and autonomy teams to integrate mobile manipulation planners—coordinating base repositioning with grasp/task planning for seamless loco-manipulation behaviors.
• State Estimation & Localization: Refine sensor fusion techniques (IMU, Wheel Encoders, LiDAR) to provide highly accurate and resilient odometry in diverse, real-world environments.
• Testing & Validation: Lead field testing and rigorous validation of motion control performance across various floor types, inclines, and payload configurations.
• Code Excellence: Maintain high standards for the codebase by writing production-grade, real-time C++. Lead peer reviews and maintain comprehensive documentation for the controls architecture.

SKILLS AND REQUIREMENTS

Technical Skills (Must-Have)

• Controls Expertise: Deep understanding of classical and modern control theory applied to whole-body loco-manipulation systems, including coupled mobile base and multi-DOF manipulator dynamics.
• Estimation & Fusion: Strong experience with Kalman Filtering and sensor fusion (IMU, encoders, LiDAR, F/T sensors) for whole-body state estimation.
• Expert C++: High proficiency in modern C++ (14/17/20) for real-time systems, with a focus on memory management and performance optimization.
• Middleware: Extensive experience with Custom middleware and its real-time capabilities.
• Shipment History: A proven track record of taking complex wheeled-base platforms to market or deploying robotic fleets in commercial/industrial settings.

Strong Nice to Haves

• Navigation Guru: Deep familiarity with the stack, including custom plugin development (Controller, Planner, or Recovery behaviors).
• Safety Standards: Experience navigating safety certification processes and implementing safety-critical software architectures.
• System Identification: Expertise in modeling and identifying the dynamics of complex electromechanical drive systems.
• Simulation: Experience using MuJoCo or Isaac Sim to validate control stability before deploying to physical hardware.

EDUCATION AND/OR EXPERIENCE

• Education: MS or PhD in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field.
• Experience: 5+ years of relevant industry experience (or 3+ years with a PhD) specifically focused on mobile robotics and wheeled motion control.
• Proven Impact: Direct experience taking a wheeled-base platform through the full product lifecycle, from initial control design to factory exit and customer deployment.

PHYSICAL REQUIREMENTS 

• Prolonged periods of sitting at a desk and working on a computer
• Must be able to lift 50 pounds at times
• Vision to read printed materials and a computer screen
• Hearing and speech to communicate

JOB SUMMARY

You will join a team developing state-of-the-art general-purpose robots designed to operate in human spaces and with human tools. It is designed to work alongside humans, mobilize to human spaces, and manipulate the world around it.

Apptronik is a pioneering company specializing in advanced robotics and automation solutions. We are seeking a talented Robot Platform Software Engineer to join our team in Austin, TX. This role offers an exciting opportunity to work on cutting-edge technology platforms that power our next-generation robotic systems.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES:

• Platform Evolution: Contribute to the development and implementation of scalable software solutions that evolve existing architectures to support next-generation robotic systems.
• Architecture: Participate in architectural discussions and provide technical input to help define the roadmap for platform software, focusing on modularity and performance.
• Hardware-Software Integration: Work closely with hardware teams to execute de-risking tasks and validate new components, ensuring reliable communication and integration across the robotic stack.
• Resource Profiling: Assist in evaluating compute resource requirements by profiling complex software stacks and identifying opportunities for optimization in constrained environments.
• System Adaptation: Support the porting and optimization of established software frameworks to new hardware platforms, maintaining high standards for system stability and reliability.
• Performance Benchmarking: Conduct profiling and benchmarking tests to identify system bottlenecks, helping to ensure the platform scales effectively across diverse hardware.
• Engineering Standards: Adhere to and promote software engineering best practices, including participating in code reviews, maintaining clear documentation, and contributing to continuous integration efforts.

SKILLS AND REQUIREMENTS: 

• Strong C++ Command: Proficiency in C++ within a Linux environment, with experience in system-level programming and an understanding of performance-sensitive code.
• Architectural Awareness: Solid understanding of complex, multi-component system architectures and the ability to contribute meaningful design ideas for safety and scalability.
• Hardware Interaction: Experience with hardware integration and testing, including familiarity with low-level drivers, communication protocols (e.g., CAN, EtherCAT), or sensor data handling.
• Analytical Profiling: Ability to perform resource usage analysis (CPU, memory, latency) to help inform system specifications and hardware selection.
• Adaptability with Existing Code: Proven ability to work within and improve established codebases, balancing the need for modernization with a respect for proven architectural foundations.
• Distributed Systems: Familiarity with API design, and containerization tools like Docker or Kubernetes in a robotics or embedded context.
• Collaborative Mindset: Strong communication skills and the ability to work effectively in a cross-functional environment, bridging the gap between hardware constraints and software requirements.

EDUCATION and/or EXPERIENCE: 

• Bachelor's degree in computer science, Engineering, or related field; Master’s degree in computer science or equivalent preferred.
• 4+ years of experience in software engineering, with a focus on developing system-level software

PHYSICAL REQUIREMENTS

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

JOB SUMMARY

We are seeking a Staff Simulation Engineer to spearhead the architecture and development of our core simulation infrastructure—the engine that powers our reinforcement learning and controls initiatives. In this role, you will be responsible for the continuous development, improvement, and maintenance of our simulation environments, scaling the platform to be robust, high-performance, and highly parallelized. You will own the technical roadmap for our simulation tools, ensuring seamless integration with robot control systems and learning frameworks to provide our teams with the foundational infrastructure needed to develop next-generation autonomous behaviors.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES:

• Simulation Infrastructure: Own the technical roadmap and architecture of the core simulation platform, building high-performance digital twins that serve as the foundation for Reinforcement Learning (RL) and Vision-Language-Action (VLA) model training, controls validation, and CI/CD integration testing.
• Massively Parallel Infrastructure: Design and scale cloud-native simulation pipelines capable of generating millions of experience hours per day, leveraging distributed computing frameworks to parallelize physics and rendering for rapid policy iteration.
• High-Fidelity Sim-to-Real Transfer: Bridge the reality gap by developing advanced contact models and actuator dynamics, ensuring that policies trained in simulation transfer zero-shot to physical humanoid hardware.
• Photorealistic Perception & World Building: Lead the development of sensor-realistic environments (camera, LiDAR, depth) that challenge the perception stack, creating the dynamic and diverse worlds necessary to robustify robot vision capabilities.
• Technical Strategy & Leadership: Serve as the technical authority on simulation, collaborating with Control and AI research teams to anticipate future needs and drive the evolution of tools.

 SKILLS AND REQUIREMENTS:

• Excellent C++ and Python programming skills 
• Familiar with best practices for software development, including CI/CD, automated testing, and code quality standards to ensure a robust and scalable codebase.
• Technical leadership experience in robotic simulation, including defining technical roadmaps and collaborating cross-functionally to align priorities and drive project execution.
• Understanding of Robotics concepts like kinematics, dynamics, controls, path planning and system identification.
• Experience with modern robotic simulators, like IsaacLab and MuJoCo.
• Understanding of Reinforcement Learning and VLAs with preferable experience in research or production environment
• Experience architecting and managing large-scale training workloads, including deploying parallel simulations on cloud platforms (AWS, GCP, Azure) with distributed computing frameworks (e.g., Ray, Kubernetes).
• Familiarity with the use of game engines like Unity or Unreal. 

EDUCATION and/or EXPERIENCE:

• Education: MS or PhD in relevant fields (Computer Science, Robotics, Electrical Engineering, etc.)
• Experience: Significant experience (8+ years or 5+ with a graduate degree) in developing robotic simulations for  high-performance, contact-rich, and dynamic robotic 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

As a Senior Software Engineer - Navigation at Apptronik, you will lead the development of advanced navigation systems that empower our general-purpose robots to seamlessly operate in human environments. These robots are designed to move, work, and interact alongside people — in spaces built for humans — performing meaningful tasks that improve efficiency and quality of life.

You will be responsible for designing and deploying high-performance, robust, and scalable navigation software that allows our robots to traverse dynamic, semi-structured environments safely and intelligently. This role sits at the intersection of autonomy, perception, and controls, requiring both deep technical expertise and strong systems-level thinking.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES

• Architect, implement, and deploy state-of-the-art navigation systems for humanoid robots operating in human-centric environments.
• Design global and local path planning methods, incorporating obstacle avoidance, recovery behaviors, and failure-mode handling.
• Encode human-aware navigation behaviors for safe, predictable motion in shared spaces.
• Work closely with Autonomy, Perception, and Controls teams to deliver cohesive, real-world-capable navigation systems.
• Validate algorithms in both high-fidelity simulation and physical robot environments.
• Create automated and continuous integration test frameworks for robust software delivery.
• Maintain well-documented, modular codebases with rigorous code reviews and CI pipelines.
• Author technical design documents and system diagrams.
• Guide junior engineers, foster a culture of collaboration, and uphold Apptronik’s core values: Curiosity, Humility, Integrity, Passion, and Creativity.

SKILLS AND REQUIREMENTS

• Strong proficiency in C++ (modern standards) in a Linux environment.
• Deep understanding of robot navigation fundamentals, including:
• Path planning, motion control, collision avoidance, and estimation.
• Mapping and localization (e.g., SLAM).
• Multi-agent planning or human-aware navigation is a plus.
• Familiarity with reinforcement learning or learning-based planning methods.
• Experience integrating navigation stacks with perception and control systems.
• Proven track record of delivering production-grade navigation software for autonomous robots.
• Experience with real-world robot testing, debugging, and tuning.
• Experience with ROS/ROS2, CI/CD, and modern software development best practices.
• Strong debugging and profiling skills for performance optimization.
• Strong cross-functional collaboration and communication skills.
• Thrives in a fast-paced, hands-on environment delivering real-world results.

EDUCATION and/or EXPERIENCE

• MS or PhD in Computer Science, Robotics, Electrical/Mechanical Engineering, or a related field (or BS with equivalent industry experience).
• 5+ years developing and deploying navigation or autonomy systems for mobile robots.

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