Benefits:

• Improve science and good reasoning

• Advance AI safety

• High-agency, low-bureaucracy

• Remote or hybrid SF

• Work alongside LLM experts

Benefits:

• Improve science and good reasoning

• Advance AI safety

• High-agency, low-bureaucracy

• Remote or hybrid SF

• Work alongside LLM experts

Benefits:

• Improve science and good reasoning

• Advance AI safety

• High-agency, low-bureaucracy

• Remote or hybrid SF

• Work alongside LLM experts

Education Requirements:

• BS/BA in engineering, computer science, business administration, economics, or a related field.

• Advanced degrees are a plus

Experience Requirements:

• 15+ years of business development and/or strategic partnerships experience (8+ in the software industry)

Other Requirements:

• Proven track record of identifying, negotiating, and managing strategic partnerships that drive business growth and create mutual value.

• Demonstrated success in bringing new technologies to market and driving execution in ambiguous environments.

• Ability to distill complex information into actionable insights.

• Strong project management skills with the ability to juggle multiple projects and partners simultaneously.

• Proactive problem-solver with a high sense of urgency and ownership, capable of navigating challenges independently.

• Excellent interpersonal skills with the ability to build and maintain strong relationships and collaborate effectively with cross-functional teams.

• Genuine passion for autonomous driving, deep tech, and AI, and a desire to contribute to groundbreaking innovations in these fields.

• 2+ years of experience in strategy consulting, investment banking, or similar professional services roles.

• Experience successfully developing strategic relationships in the defense sector.

• Experience successfully collaborating with C-suite executives in high-growth autonomous driving, deep tech, or AI startups.

• Experience with grant writing.

• Based in the SF Bay Area

Responsibilities:

• Drive the identification, evaluation, and pursuit of new business opportunities and strategic partnerships with a focus on key target markets such as defense, mining, construction, and commercial transit.

• Conduct comprehensive market research and analysis to identify industry trends, competitive landscape, and potential areas for expansion or collaboration.

• Develop and execute innovative business strategies that leverage BlueSpace.ai's unique value proposition and market position to drive revenue growth and market share.

• Build and maintain strong relationships with key stakeholders, including customers, partners, and internal teams.

• Collaborate with cross-functional teams, including Product, Engineering, Marketing, and Sales, to ensure alignment and effective execution of business development initiatives.Negotiate and structure strategic partnership agreements that optimize value creation for both BlueSpace.ai and its partners.Stay abreast of emerging trends, technologies, and best practices in the deep tech industry to inform and adapt business development strategies.Represent BlueSpace.ai at industry events, conferences, and meetings to promote the company’s brand, products, and services

Education Requirements:

• BS/BA in engineering, computer science, business administration, economics, or a similar field

Experience Requirements:

• 3+ years of account management, business development, strategic partnerships, or similar roles.

• Experience successfully collaborating with C-suite executives in high-growth autonomous driving, deep tech, or AI startups

Other Requirements:

• Demonstrated ability to communicate, present, and influence credibly and effectively at all levels of an organization, including executive and C-level.

• Proven track record in team leadership and project management.

• Ability to collaborate with global cross-functional teams and drive results.

• Excellent communication, interpersonal, and client-facing skills.

• Excellent critical thinking and problem-solving skills.

• Experience in strategy consulting, investment banking, or similar professional services roles

Responsibilities:

• Serve as the primary point of contact for partner management matters, ensuring timely and effective communication, issue resolution, and overall customer satisfaction.

• Develop and maintain a trusted advisor relationship with key partners, customer stakeholders, and executive leadership by providing strategic guidance, insights, and support.

• Oversee and implement projects from start to finish, ensuring timely delivery and alignment with business objectives.

• Manage and communicate the progress of monthly/quarterly initiatives to internal and external stakeholders.

• Proactively identify upsell, cross-sell, and renewal opportunities and regularly communicate these opportunities to the executive team to support strategic decisions.Forecast and track key account metrics, such as revenue, growth, and customer satisfaction.Resolve issues to maintain and strengthen customer trust.Assist with challenging client requests or issue escalations as needed

Education Requirements:

• Bachelor’s degree in mechanical engineering, electrical engineering, or a related field.

• (Advanced degrees preferred)5-10 years’ experience

Experience Requirements:

• Proven experience in hardware design for electronic systems, preferably in the GNSS, robotics, or autonomous vehicle industries.

• Strong knowledge of off-the-shelf components and materials used in electronic hardware.

• Experience in vendor selection, negotiation, and supervision.

• Proficiency in CAD software (e.g., SolidWorks, AutoCAD) for designing hardware solutions.

• Familiarity with industry standards and regulatory requirements for electronic hardware.Ability to work effectively in a fast-paced and collaborative environment.Strong problem-solving skills and attention to detail.Excellent communication and project management skills

Other Requirements:

• Experience with hardware solutions for rugged and harsh environments.

• Knowledge of thermal management and EMI/EMC considerations in hardware design

Responsibilities:

• Design/develop custom hardware enclosure solutions for electronic systems used in autonomous vehicles.

• Utilize off-the-shelf components to create efficient and cost-effective hardware designs.

• Identify and select suitable vendors for sourcing components and materials.

• Oversee and supervise vendor activities to ensure quality and timely delivery of components.

• Ensure hardware designs meet industry standards and regulatory requirements.Perform testing and validation of hardware solutions to ensure durability and performance in rugged environments.Conduct failure analysis and implement improvements to enhance hardware reliability.Prepare and maintain detailed documentation, including design specifications, test reports, and technical drawings.Stay updated with the latest advancements in hardware materials and technologies

Education Requirements:

• Bachelor’s Degree in Computer Science, Mechanical Engineering, Electrical Engineering, or equivalent.

• Advanced Degrees highly preferred

Experience Requirements:

• Demonstrated ML Engineering experience developing either Computer Vision models (preferred) or other models (such as LLMs, Finance, Ads, or others).

• Production experience with Deep Learning models (training, fine-tuning, or deployment).

• Excellent software engineering skills in Python or C++.

• Strong analytical skills in linear algebra, geometry, and probability.

• Experience with a deep learning framework, such as PyTorch, JAX, TensorFlow

Other Requirements:

• Relevant industry experience with low-latency systems (prior work on self-driving vehicles, autonomy, and/or robotics projects).

• Experience building models from sensor data: lidar, radar, camera.

• Experience with multi-modal models.

• Strong academic track record in any field related to machine learning, as evidenced by top-tier publications.

• Production ML experience with either: Model conversion and optimization for production (ONNX, TensorRT); Model deployment on specialized hardware (e.g. Jetson).

• Ability to lead the ML area as the team grows (for Sr Staff level candidates)

Responsibilities:

• Develop deep learning models for a variety of autonomy applications (relevant areas: object detection, classification, segmentation, behavior prediction, end-to-end driving).

• Research, design, improve, and implement state-of-the-art ML algorithms and deploy them onto self-driving vehicles and in datacenters.

• Identify or collect the required datasets and implement data processing pipelines.

• Deliver reliable software through continuous integration, automated testing, and code reviews.

• Address the real-world issues encountered during tests or customer deployments

Education Requirements:

• B.S/ Master’s degree in computer science, Mechanical Engineering, with a focus on mechanics, Electrical Engineering, or equivalent

Experience Requirements:

• Familiarity with interfacing sensors (cameras, lidars, radars, IMU, GPS), electronic control systems (DbW systems), and other components used in automated systems with unix-based systems.

• Familiarity with programming with C++/python on unix based platform.

• Working knowledge to troubleshoot and program for CAN and ethernet-based communications with sensors.

• Proficient with using lab equipment for designing, building, and testing.

• Ability to troubleshoot and improve existing equipment, design new equipment solutions, and ensure seamless integration of sensors and electronic control systems with software.Ability to program necessary tooling software to troubleshoot interfacing issues with next-gen sensors and electronic control units.Proficiency with 3D modeling CAD software (SolidWorks or Fusion360)

Other Requirements:

• Experience with robotic middleware like ROS1.0, ROS2.0, rqt, rviz

• Experience deploying software for unix-based prototyping boards (e.g.. NVIDIA Jetson, DRIVE PX, AGX platforms, etc.)

• Experience developing software on Real Time Operating Systems (QNX, RTLinux, VxWorks, etc.)

• Development of controls algorithms on unix-based platforms

• Time synchronization in a distributed architecture (PTP, NTP, etc.)

Responsibilities:

• Design and develop mechanical systems for self-driving vehicles, ensuring reliability, efficiency, and safety.

• Conduct detailed studies on the motion of various components and systems within the autonomous driving context.

• Employ rapid prototyping techniques to quickly iterate and refine mechanical designs.

• Collaborate with cross-functional teams, including software engineers, to integrate mechanical systems with autonomous driving software.

• Conduct simulations and real-world testing to validate designs and systems.Stay abreast of the latest advancements in self-driving technologies and incorporate them into design and development processes.Troubleshoot and resolve mechanical issues in existing and new self-driving vehicle systems.Document design processes, analyses, and test results for knowledge sharing and future reference

Experience Requirements:

• Experience in architecting and implementing data engineering solutions for a small engineering team / product (1-20 ppl)

• 2+ years of software engineering experience in any of the following: ML Infrastructure, Data Engineering, Platform Engineering, Distributed Systems

• Either existing experience with ML Infrastructure as described below, or strong expertise in non-ML Data infrastructure combined with a strong desire to learn ML Infra specifics

• Production ML experience with at least one of the following - (1). Model conversion and optimization for production (ONNX, TensorRT), (2) Model deployment on specialized hardware (e.g. Jetson), or (3) Model monitoring and MLOps

• Ability to programmatically access cloud services using Python, NodeJS, or equivalent

Other Requirements:

• Knowledge of or experience with data management solutions, such as - (1) Workflow orchestration pipelines (e.g. Argo, Airflow, Kubernetes) or (2) Managed large-scale data processing systems (e.g. Spark, Dataproc, Databricks)

• End-to-end ML pipelines (e.g. SageMaker, Vertex)

• Experience with Terraform or a similar IAC solution

• Robotics background, C++, ROS

• Experience with Google Cloud Platform or other major cloud provider

Responsibilities:

• Take ownership of the infrastructure in support of developing and deploying Machine Learning models for Autonomous Vehicles

• Architect and deploy cloud and on-prem ML training and evaluation infrastructure

• Own the the data management pipelines, from ingestion and storage, to model training and evaluation that span vehicle compute, cloud, and on-prem

• Change model training code to take advantage of the better data storage techniques and formats you propose

• Evaluate and implement methods, software, and hardware for model deployment onto the test and production vehicles

Experience Requirements:

• Demonstrated deep knowledge of modern motion planning and control software including sample base motion planning and trajectory or behavior route planning.

• Experience designing and implementing motion planning methods in deployed software running in real-time on a robotic platform.

• Strong foundational technical skills in mathematics, physics, probability/statistics, and engineering (for example, as demonstrated by relevant educational experience, published work, or publicly available software)

• Experience developing in multiple large, complex C++ codebases.

• Ability to design software testing suites for robust motion planning.

Other Requirements:

• Having worked a product from initial development to releaseKnowledge of verification, validation, and safety analysis for autonomous vehicles or other complex systems

• Development experience in parts of an autonomy stack beyond motion planning and controls

• Technical leadership in a software or engineering organization

• Experience with ROS, OpenCV ROS2, and/or QNX

Responsibilities:

• Motion planning development is needed to support customers who need a full stack autonomy solution to meet their safety and productivity needs.

• Our customers operate in unstructured environments, indoors and outdoors, in a range of environments and weather conditions.

• You will draw on the latest advancements in motion planning while creating novel advanced algorithms as we learn what we need to do to help our customers meet their goals.

• Algorithm design, software implementation, software testing, verification and validation, and in field testing and evaluation are all part of the job.

• You’ll be doing all these activities in a way that allows BlueSpace to scale to new customers while ensuring our current customers get what they need. As part of a collaborative team, you’ll work with other engineers across the stack to identify what capabilities we need to delight our customers and continuously learn and iterate so we can deliver an end product that exceeds expectations

Experience Requirements:

• 7+ years of engineering experience.

• Deep knowledge of architecting large-scale software/hardware systems at the edge.

• Demonstrated experience gathering customer requirements and generating associated system-level and derived requirements.

• Prior work creating software and hardware tests demonstrating system, subsystem, and component requirements are met.

• Performed requirements development, verification, and validation for a fielded robotic system.Development experience creating metrics pipelines and data analysis tools for software systems in Python.Qualitative understanding of various techniques standard in robotics / autonomous systems.Knowledge of the complete software stack architecture of autonomous systems.Experience engaging with customers to deliver products

Other Requirements:

• Deep expertise in one or more robotics disciplines.

• C++ software development in large, complex codebases.

• Experience refining and updating requirements throughout the entire product development life cycle

Responsibilities:

• System engineering at BlueSpace involves all aspects of a project, both technically and programmatically.

• You’ll meet with customers early and often to communicate BlueSpace’s capabilities, understand customer needs, generate requirements, and update plans when needed.

• Based on what you learn, you’ll collaborate with the engineering team to develop a system architecture that meets our customers’ needs, identify R&D areas, build out the hardware and software solution, and perform verification and validation of the system before customer delivery.

• To ensure we exceed customers’ expectations, you’ll support the engineering team in deriving component and performance requirements that lead to successful execution and create tests and testing pipelines that help the team rapidly iterate and catch issues early.

• Along the way, you’ll discover new product opportunities that will excite existing customers and bring in new ones

Education Requirements:

• Bachelors Degree

Experience Requirements:

• Ten (10) years experience in application interface development

• Experience working in visualization and/or tooling at a robotics company.

• Experience with visualizing live streaming data, including 3D and video/camera data (point cloud preferred) in user interfaces, particularly for applications requiring real-time data streaming and logging.

• Solid understanding of proxying data flows and experience in ensuring secure, stable data communication for complex systems.

• Knowledge of integrating front-end applications with back-end services and databases.Competence with LinuxAble to deliver quality work in a fast-paced startup environmentExperience with CI/CD.Experience with Git for version control.Experience in prototyping and developing with APIs and actual data endpoints

Other Requirements:

• Expertise with web development languages and UI frameworks such as React.

• Experience customer facing interfaces for Maps and situational awareness applications including the use of open APIs, (Google Maps, ATAK,…)

• Experience working in AV, mobility, or automotive industries

Responsibilities:

• Lead the effort to develop tablet end point user experience, including UI/UX.

• Build reusable front-end components and libraries for future use, promoting best practices in code efficiency and modularity.

• Implement and maintain automated testing and CI/CD pipelines using tools enabling automated test runs as part of the pull request flow.

• Define customer interfaces, frameworks, and backend integration

Education Requirements:

• BS (M.S or Ph.D. preferred) degree in a relevant engineering program

Experience Requirements:

• Excellent programming skills (C/C++/Python, etc.)

• Strong understanding of physics, mathematics, and software development principles

• Understanding of self-driving stack and cloud technologies

• Project experience aligned to simulation, autonomous vehicles, or robotics.

• Knowledge of autonomous driving technologies, including perception, localization, path planning, and control systems

Other Requirements:

• Experience with the Unreal engine.

• Proficient in working with cloud technologies (AWS, GCP, Azure, etc.)

• Skilled in working with middleware development and integration (e.g., ROS/ROS2)

• Strong communication and collaboration skills, with the ability to work effectively in a team environment.

• You’re experienced with all stages of a project’s lifecycle.

• You can quickly take a project from zero to one or scale an existing one up to be relied upon in critical pipelines and workflows.

• You have start-up DNA: You have demonstrated an ability to thrive in the ambiguity of a dynamic, start-up environment or have the DNA to do so.

• You are passionate about bettering everyday life through robotics.

• Authorized to work in the United States

Responsibilities:

• Design, develop, and maintain autonomous driving simulation platforms, including physics-based simulations and sensor simulations.

• Implement realistic vehicle, sensor, and environmental models within the simulation framework.

• Design and execute simulation experiments to validate and verify the performance of perception, planning, and control algorithms.

• Collaborate with software engineers, robotics engineers, and data scientists to integrate simulation tools into the development pipeline.

• Work closely with the autonomous driving algorithm team to understand their testing requirements and design simulation scenarios accordingly.Analyze simulation results and provide actionable insights to improve the performance and reliability of autonomous driving systems.Stay up to date with the latest advancements in simulation technology and incorporate them into our development processes.Implement realistic virtual environments, including roads, traffic, weather conditions, and sensor models, to replicate real-world driving scenarios.Integrate autonomous driving software into the simulation platform and ensure seamless interaction between the two systems.Perform validation and verification of autonomous driving algorithms by conducting simulated tests and analyzing results

Education Requirements:

• Master's/Ph.D. Degree in Computer Science, Mechanical Engineering, Electrical Engineering, or equivalent

Experience Requirements:

• 5+ Years of industry experience

• Deep knowledge about various state estimation techniques, including but not limited to Kalman Filter and its variations, particle filter, SLAM, dead-reckoning, and Odometry.

• Strong analytical skills in linear algebra, geometry, and probability

• Strong C++ software development skills.

• Experience developing software under strong real-time performance requirements

Other Requirements:

• Strong team player, comfortable working in a vibrant, diverse, and interdisciplinary team

Responsibilities:

• Develop, deploy, and scale both online and offline state-estimation algorithms for real-world robotic systems.

• Build software, tools, and processes that accelerate your rate of experimentation, monitor performance, and inform you what to try next.

• Work with large quantities of sensor data on challenging real-world problems.

• Collaborate with the team to deploy your work in a mission-critical environment

Education Requirements:

• Bachelor’s degree in computer science, software engineering, robotics, or a related field.

• (Advanced degree preferred)

Experience Requirements:

• 10+ years of experience in software engineering, with a minimum of 5 years in a leadership role, preferably within robotics or autonomous vehicles.

• Proven track record of successfully leading large-scale software development projects from inception to completion.

• Strong knowledge of software architecture, design patterns, and agile development methodologies.

• Experience with robotics software, control systems, and hardware and software components integration is highly desirable

Other Requirements:

• Exceptional communication and interpersonal skills, with the ability to influence and inspire teams and stakeholders at all levels.

• Strong analytical and problem-solving abilities, focusing on delivering results in a fast-paced environment.

• Ability to travel as needed (10-15%)

Responsibilities:

• Develop and execute the engineering vision and strategy aligned with the company’s overall objectives, ensuring the delivery of high-quality products that meet customer needs.

• Lead, mentor, and grow a high-performing engineering team, fostering a culture of innovation, collaboration, and continuous improvement.

• Oversee the entire development lifecycle, from conception to deployment, ensuring timely of features and enhancement.

• Provide technical direction and architectural guidance for development projects, ensuring scalability, reliability, and performance.

• Work closely with cross-functional teams, including product management and operations, to ensure cohesive product development and integration.Communicate effectively with executive leadership and key stakeholders, providing updates on project status, risks, and opportunities.Stay abreast of industry trends, emerging technologies, and the competitive landscape to inform software development strategies and maintain a technological edge.Establish and maintain best practices in engineering processes, including coding standards, testing, and documentation