Humble Robotics
San Francisco, California
Job DescriptionJob DescriptionAbout Humble Robotics Working at Humble Robotics means taking on the biggest change in ground transportation in decades. We're building an autonomous, zero-emissions hauler that dramatically lowers the cost of freight with groundbreaking vision-based AI, designed for today's global logistics network. We're a fast-moving, close-knit team of AV industry veterans and innovative thinkers. We don't believe culture can be engineered - but when it falls into place, it's a once-in-a-lifetime adventure. Progress has never felt so present. Position Overview We're looking for a software engineer to help build the software systems that make our autonomous trucks drive. Your primary focus will be on software that runs on the vehicle, and you'll contribute across the stack-from sensors and inference to developer tooling and fleet-facing systems-working closely with teammates across robotics, ML, and controls. We also value engineers who are excited to jump into adjacent parts of the stack as needed, from firmware-facing integrations and developer tooling to cloud services and internal applications. This is a chance to support a production autonomy stack from day one, shipping code that runs on real trucks hauling real freight. Key Responsibilities Contribute to the design, implementation, and optimization of software across the autonomy stack, with an emphasis on real-time systems running on the vehicle Help build and improve on-vehicle data logging and recording systems Contribute to the hermetic build and cross-compilation pipeline, including packaging and deployment for on-vehicle compute platforms and adjacent system components Instrument, profile, and improve system performance end-to-end-from IPC latency to compute throughput to disk I/O Write tests and support CI improvements to ensure system reliability Contribute to integrations across on-vehicle, cloud, and fleet-facing systems-remote data pipelines, over-the-air updates, and connectivity Jump into adjacent engineering work as needed, from firmware-facing integrations and developer tooling to cloud services and internal web applications Collaborate with ML and controls engineers to integrate their work into the real-time on-vehicle stack Minimum Qualifications BS or MS in Computer Science, Electrical Engineering, Robotics, or a related field-or equivalent industry experience Strong proficiency in Rust or C++ with experience shipping low-latency, concurrent software on Linux Familiarity with real-time scheduling, inter-process communication, synchronization primitives, and debugging latency-sensitive concurrent systems Experience contributing to Linux systems software, hardware-adjacent infrastructure, sensor / compute platform bring-up, or similarly close-to-hardware systems Eligible to work in the United States Preferred Qualifications Experience contributing to software for autonomous vehicles, mobile robots, or other safety-critical systems Hands-on work with sensor integration Experience with GPU-accelerated compute or productionizing AI models (quantization, optimization, deployment) Experience with low-latency IPC, shared-memory transport, or high-throughput pub-sub systems Familiarity with cloud infrastructure, networking, or vehicle-to-cloud data pipelines Experience with Bazel or other hermetic build systems Experience with cross-compilation, packaging, or deployment for Linux-based systems Comfort working as a software generalist across systems boundaries, from on-vehicle software to cloud services and internal tools Comfort working on a small team with high ownership, low ego, and fast iteration Compensation This role is eligible for base salary + benefits + equity compensation. Salary ranges are determined by role, level, and location. Within the range, individual pay is determined by additional factors, including qualifications, skills, experience, and location. Additional Information As part of the interview process, we may use Artificial Intelligence (AI) tools to compare your qualifications and experience to the job description. A human reviews all AI output and makes a final hiring decision. Humble Robotics does not rely on the output to make any employment decisions. Some applicants may have a legal right to opt-out of the use of AI as part of our interview process. Contact to exercise this right or if you have further questions on the use of AI tools in our hiring process. Humble Robotics is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, sexual orientation, veteran status, marital status or any other characteristics protected by law. Humble Robotics will consider qualified applicants with arrest and conviction records in a manner consistent with local ordinances. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job DescriptionJob DescriptionAbout Humble Robotics Working at Humble Robotics means taking on the biggest change in ground transportation in decades. We're building an autonomous, zero-emissions hauler that dramatically lowers the cost of freight with groundbreaking vision-based AI, designed for today's global logistics network. We're a fast-moving, close-knit team of AV industry veterans and innovative thinkers. We don't believe culture can be engineered - but when it falls into place, it's a once-in-a-lifetime adventure. Progress has never felt so present. Position Overview We're looking for a software engineer to help build the software systems that make our autonomous trucks drive. Your primary focus will be on software that runs on the vehicle, and you'll contribute across the stack-from sensors and inference to developer tooling and fleet-facing systems-working closely with teammates across robotics, ML, and controls. We also value engineers who are excited to jump into adjacent parts of the stack as needed, from firmware-facing integrations and developer tooling to cloud services and internal applications. This is a chance to support a production autonomy stack from day one, shipping code that runs on real trucks hauling real freight. Key Responsibilities Contribute to the design, implementation, and optimization of software across the autonomy stack, with an emphasis on real-time systems running on the vehicle Help build and improve on-vehicle data logging and recording systems Contribute to the hermetic build and cross-compilation pipeline, including packaging and deployment for on-vehicle compute platforms and adjacent system components Instrument, profile, and improve system performance end-to-end-from IPC latency to compute throughput to disk I/O Write tests and support CI improvements to ensure system reliability Contribute to integrations across on-vehicle, cloud, and fleet-facing systems-remote data pipelines, over-the-air updates, and connectivity Jump into adjacent engineering work as needed, from firmware-facing integrations and developer tooling to cloud services and internal web applications Collaborate with ML and controls engineers to integrate their work into the real-time on-vehicle stack Minimum Qualifications BS or MS in Computer Science, Electrical Engineering, Robotics, or a related field-or equivalent industry experience Strong proficiency in Rust or C++ with experience shipping low-latency, concurrent software on Linux Familiarity with real-time scheduling, inter-process communication, synchronization primitives, and debugging latency-sensitive concurrent systems Experience contributing to Linux systems software, hardware-adjacent infrastructure, sensor / compute platform bring-up, or similarly close-to-hardware systems Eligible to work in the United States Preferred Qualifications Experience contributing to software for autonomous vehicles, mobile robots, or other safety-critical systems Hands-on work with sensor integration Experience with GPU-accelerated compute or productionizing AI models (quantization, optimization, deployment) Experience with low-latency IPC, shared-memory transport, or high-throughput pub-sub systems Familiarity with cloud infrastructure, networking, or vehicle-to-cloud data pipelines Experience with Bazel or other hermetic build systems Experience with cross-compilation, packaging, or deployment for Linux-based systems Comfort working as a software generalist across systems boundaries, from on-vehicle software to cloud services and internal tools Comfort working on a small team with high ownership, low ego, and fast iteration Compensation This role is eligible for base salary + benefits + equity compensation. Salary ranges are determined by role, level, and location. Within the range, individual pay is determined by additional factors, including qualifications, skills, experience, and location. Additional Information As part of the interview process, we may use Artificial Intelligence (AI) tools to compare your qualifications and experience to the job description. A human reviews all AI output and makes a final hiring decision. Humble Robotics does not rely on the output to make any employment decisions. Some applicants may have a legal right to opt-out of the use of AI as part of our interview process. Contact to exercise this right or if you have further questions on the use of AI tools in our hiring process. Humble Robotics is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, sexual orientation, veteran status, marital status or any other characteristics protected by law. Humble Robotics will consider qualified applicants with arrest and conviction records in a manner consistent with local ordinances. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Humble Robotics
San Francisco, California
Job DescriptionJob DescriptionAbout Humble Robotics Working at Humble Robotics means taking on the biggest change in ground transportation in decades. We're building an autonomous, zero-emissions hauler that dramatically lowers the cost of freight with groundbreaking vision-based AI, designed for today's global logistics network. We're a fast-moving, close-knit team of AV industry veterans and innovative thinkers. We don't believe culture can be engineered - but when it falls into place, it's a once-in-a-lifetime adventure. Progress has never felt so present. Position Overview We're looking for a software engineer to optimize and deploy ML models on our trucks' onboard compute, and to own performance across the full autonomous driving stack. You'll take models from our ML team and make them run fast, efficiently, and reliably on embedded GPUs-using TensorRT, custom CUDA kernels, and low-level systems engineering. Beyond inference, you'll profile and optimize the entire onboard software pipeline to meet hard real-time deadlines. This is a rare chance to bridge ML and embedded systems for production autonomous freight, with the freedom and responsibility that comes with a small team tackling a massive problem.Key Responsibilities Optimize and deploy neural network models for onboard inference using TensorRT and custom CUDA kernels Profile and reduce end-to-end latency across the autonomous driving stack-from sensor ingestion to control Build and maintain the onboard C++ and Rust software infrastructure, including real-time data pipelines, inter-process communication, and hardware abstraction layers Implement model quantization, pruning, and other optimization techniques to maximize throughput on embedded GPU platforms Collaborate with ML engineers to ensure models are designed for efficient deployment, and with vehicle systems engineers to meet real-time safety constraints Minimum Qualifications BS, MS, or PhD in Computer Science, Electrical Engineering, Robotics, or a related field-or equivalent industry experience Strong proficiency in C++ and/or Rust for performance-critical systems Hands-on experience with GPU-accelerated computing-CUDA, TensorRT, or similar inference optimization toolchains Familiarity with ML model architectures (transformers, CNNs) and the ability to reason about computational cost and memory footprint Eligible to work in the United States Compensation This role is eligible for base salary + benefits + equity compensation. Salary ranges are determined by role, level, and location. Within the range, individual pay is determined by additional factors, including qualifications, skills, experience, and location.Additional Information As part of the interview process, we may use Artificial Intelligence (AI) tools to compare your qualifications and experience to the job description. A human reviews all AI output and makes a final hiring decision. Humble Robotics does not rely on the output to make any employment decisions. Some applicants may have a legal right to opt-out of the use of AI as part of our interview process. Contact to exercise this right or if you have further questions on the use of AI tools in our hiring process. Humble Robotics is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, sexual orientation, veteran status, marital status or any other characteristics protected by law. Humble Robotics will consider qualified applicants with arrest and conviction records in a manner consistent with local ordinances. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job DescriptionJob DescriptionAbout Humble Robotics Working at Humble Robotics means taking on the biggest change in ground transportation in decades. We're building an autonomous, zero-emissions hauler that dramatically lowers the cost of freight with groundbreaking vision-based AI, designed for today's global logistics network. We're a fast-moving, close-knit team of AV industry veterans and innovative thinkers. We don't believe culture can be engineered - but when it falls into place, it's a once-in-a-lifetime adventure. Progress has never felt so present. Position Overview We're looking for a software engineer to optimize and deploy ML models on our trucks' onboard compute, and to own performance across the full autonomous driving stack. You'll take models from our ML team and make them run fast, efficiently, and reliably on embedded GPUs-using TensorRT, custom CUDA kernels, and low-level systems engineering. Beyond inference, you'll profile and optimize the entire onboard software pipeline to meet hard real-time deadlines. This is a rare chance to bridge ML and embedded systems for production autonomous freight, with the freedom and responsibility that comes with a small team tackling a massive problem.Key Responsibilities Optimize and deploy neural network models for onboard inference using TensorRT and custom CUDA kernels Profile and reduce end-to-end latency across the autonomous driving stack-from sensor ingestion to control Build and maintain the onboard C++ and Rust software infrastructure, including real-time data pipelines, inter-process communication, and hardware abstraction layers Implement model quantization, pruning, and other optimization techniques to maximize throughput on embedded GPU platforms Collaborate with ML engineers to ensure models are designed for efficient deployment, and with vehicle systems engineers to meet real-time safety constraints Minimum Qualifications BS, MS, or PhD in Computer Science, Electrical Engineering, Robotics, or a related field-or equivalent industry experience Strong proficiency in C++ and/or Rust for performance-critical systems Hands-on experience with GPU-accelerated computing-CUDA, TensorRT, or similar inference optimization toolchains Familiarity with ML model architectures (transformers, CNNs) and the ability to reason about computational cost and memory footprint Eligible to work in the United States Compensation This role is eligible for base salary + benefits + equity compensation. Salary ranges are determined by role, level, and location. Within the range, individual pay is determined by additional factors, including qualifications, skills, experience, and location.Additional Information As part of the interview process, we may use Artificial Intelligence (AI) tools to compare your qualifications and experience to the job description. A human reviews all AI output and makes a final hiring decision. Humble Robotics does not rely on the output to make any employment decisions. Some applicants may have a legal right to opt-out of the use of AI as part of our interview process. Contact to exercise this right or if you have further questions on the use of AI tools in our hiring process. Humble Robotics is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, sexual orientation, veteran status, marital status or any other characteristics protected by law. Humble Robotics will consider qualified applicants with arrest and conviction records in a manner consistent with local ordinances. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.