Principal AI Research Scientist, Research Director - AI Scaling P-1227 About Databricks AI At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development, by building and running the world's best data and AI platform. The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI is committed to the belief that a company's AI models and agents are just as valuable as any other core IP, and that high-quality AI should be available to all. About the Scaling Research Team The Databricks AI Scaling team focuses on pushing the boundaries of large language model (LLM) training and inference efficiency beyond what is required to support existing models. The team explores novel avenues for scaling and efficiency improvements across algorithms, systems, and infrastructure, requiring researchers who can both drive independent research agendas and dive deep into low level implementation details with engineering partners. Role Summary As a Principal Research Scientist - AI Scaling, you will lead a team of world class researchers and engineers to advance the state of the art in large scale machine learning, focusing on post-training, RL and inference efficiency, optimization, and scaling. You will define and execute a research roadmap that advances the Databricks AI platform and delivers tangible improvements to how customers train, serve, and adapt LLMs at scale, working closely with product, data, and engineering leaders to bring cutting edge methods into production. The Impact You Will Have Lead and grow a multidisciplinary research team focused on foundational and applied AI problems, with a particular emphasis on LLM scaling, efficiency, and systems performance. Define the scaling research roadmap in alignment with Databricks' strategic objectives, prioritizing advances in foundation model efficiency and large scale training and inference. Drive algorithmic innovations for large scale neural network training and inference, including novel optimizers, low precision techniques, and model adaptation methods, and guide your team in rigorous empirical validation against state of the art approaches. Optimize end to end ML systems for distributed training and RL, memory efficiency, and compute efficiency through close collaboration with core systems and platform teams, ensuring that research ideas translate into performant, reliable infrastructure. Partner with product and engineering to translate research breakthroughs, especially around scaling and efficiency, into customer impacting capabilities in the Databricks AI platform. Foster a culture of scientific excellence and openness, including high quality research practices, reproducible experimentation, and effective internal knowledge sharing across Databricks AI. Represent Databricks AI research externally through top tier publications, conference talks, and collaborations with academia and the open source community, with a focus on optimization and efficiency for large scale models. Mentor and develop talent, providing both technical guidance (research agendas, experimentation, implementation) and career development support for research scientists and engineers. What You Will Do Define and lead independent research programs onfoundation model efficiency, covering topics such as optimizer design, low precision training/inference, scalable model architectures, and efficient adaptation methods. Oversee the design and execution of large scale experiments, including benchmarking against state of the art methods and evaluating trade offs in quality, latency, throughput, and cost. Work hands on with your team on high quality, efficient code in Python and PyTorch for research implementation, rapid prototyping, and integration with Databricks' production systems. Collaborate with distributed systems and infra teams to push the limits of distributed training , parallelism strategies, memory management, and hardware utilization for LLMs and other large models. Establish metrics, evaluation protocols, and best practices for scaling focused research (e.g., training efficiency, inference cost, energy usage) and drive their adoption across Databricks AI. Champion responsible and robust deployment of scaling innovations, ensuring that model behavior, reliability, and safety remain first class considerations. What We Look For Proven ability to lead a research team to develop novel techniques for foundation model efficiency and related topics, with a strong track record of industry impact. Deep expertise in at least one of: generative AI, LLMs, distributed ML systems, model optimization, or responsible AI, with a strong emphasis on scaling and efficiency for large scale neural networks. Hands on leadership - strong programming skills and demonstrated ability to write high quality, efficient code in Python and PyTorch for research implementation and experimentation. Demonstrated ability to translate research innovation into scalable product capabilities in partnership with product and engineering teams. Excellent communication, leadership, and stakeholder management skills, with experience influencing cross functional roadmaps and aligning research with business impact. Nice to Have Prior work at the intersection of systems and ML, such as distributed training frameworks, compiler and kernel optimization for deep learning workloads, or memory /compute efficient model design. Strong industry and academic network in large scale ML, with ongoing collaborations or service (e.g., PC/area chair) at top conferences in ML and systems. A strong record of research impact-such as first author publications at top ML/systems conferences (e.g., ICLR, ICML, NeurIPS, MLSys), influential open source contributions, or widely used deployed systems-especially in optimization or efficiency. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $270,000-$340,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
09/23/2026
Full time
Principal AI Research Scientist, Research Director - AI Scaling P-1227 About Databricks AI At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development, by building and running the world's best data and AI platform. The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI is committed to the belief that a company's AI models and agents are just as valuable as any other core IP, and that high-quality AI should be available to all. About the Scaling Research Team The Databricks AI Scaling team focuses on pushing the boundaries of large language model (LLM) training and inference efficiency beyond what is required to support existing models. The team explores novel avenues for scaling and efficiency improvements across algorithms, systems, and infrastructure, requiring researchers who can both drive independent research agendas and dive deep into low level implementation details with engineering partners. Role Summary As a Principal Research Scientist - AI Scaling, you will lead a team of world class researchers and engineers to advance the state of the art in large scale machine learning, focusing on post-training, RL and inference efficiency, optimization, and scaling. You will define and execute a research roadmap that advances the Databricks AI platform and delivers tangible improvements to how customers train, serve, and adapt LLMs at scale, working closely with product, data, and engineering leaders to bring cutting edge methods into production. The Impact You Will Have Lead and grow a multidisciplinary research team focused on foundational and applied AI problems, with a particular emphasis on LLM scaling, efficiency, and systems performance. Define the scaling research roadmap in alignment with Databricks' strategic objectives, prioritizing advances in foundation model efficiency and large scale training and inference. Drive algorithmic innovations for large scale neural network training and inference, including novel optimizers, low precision techniques, and model adaptation methods, and guide your team in rigorous empirical validation against state of the art approaches. Optimize end to end ML systems for distributed training and RL, memory efficiency, and compute efficiency through close collaboration with core systems and platform teams, ensuring that research ideas translate into performant, reliable infrastructure. Partner with product and engineering to translate research breakthroughs, especially around scaling and efficiency, into customer impacting capabilities in the Databricks AI platform. Foster a culture of scientific excellence and openness, including high quality research practices, reproducible experimentation, and effective internal knowledge sharing across Databricks AI. Represent Databricks AI research externally through top tier publications, conference talks, and collaborations with academia and the open source community, with a focus on optimization and efficiency for large scale models. Mentor and develop talent, providing both technical guidance (research agendas, experimentation, implementation) and career development support for research scientists and engineers. What You Will Do Define and lead independent research programs onfoundation model efficiency, covering topics such as optimizer design, low precision training/inference, scalable model architectures, and efficient adaptation methods. Oversee the design and execution of large scale experiments, including benchmarking against state of the art methods and evaluating trade offs in quality, latency, throughput, and cost. Work hands on with your team on high quality, efficient code in Python and PyTorch for research implementation, rapid prototyping, and integration with Databricks' production systems. Collaborate with distributed systems and infra teams to push the limits of distributed training , parallelism strategies, memory management, and hardware utilization for LLMs and other large models. Establish metrics, evaluation protocols, and best practices for scaling focused research (e.g., training efficiency, inference cost, energy usage) and drive their adoption across Databricks AI. Champion responsible and robust deployment of scaling innovations, ensuring that model behavior, reliability, and safety remain first class considerations. What We Look For Proven ability to lead a research team to develop novel techniques for foundation model efficiency and related topics, with a strong track record of industry impact. Deep expertise in at least one of: generative AI, LLMs, distributed ML systems, model optimization, or responsible AI, with a strong emphasis on scaling and efficiency for large scale neural networks. Hands on leadership - strong programming skills and demonstrated ability to write high quality, efficient code in Python and PyTorch for research implementation and experimentation. Demonstrated ability to translate research innovation into scalable product capabilities in partnership with product and engineering teams. Excellent communication, leadership, and stakeholder management skills, with experience influencing cross functional roadmaps and aligning research with business impact. Nice to Have Prior work at the intersection of systems and ML, such as distributed training frameworks, compiler and kernel optimization for deep learning workloads, or memory /compute efficient model design. Strong industry and academic network in large scale ML, with ongoing collaborations or service (e.g., PC/area chair) at top conferences in ML and systems. A strong record of research impact-such as first author publications at top ML/systems conferences (e.g., ICLR, ICML, NeurIPS, MLSys), influential open source contributions, or widely used deployed systems-especially in optimization or efficiency. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $270,000-$340,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Principal AI Research Scientist, Research Director - AI Scaling P-1227 About Databricks AI At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development, by building and running the world's best data and AI platform. The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI is committed to the belief that a company's AI models and agents are just as valuable as any other core IP, and that high-quality AI should be available to all. About the Scaling Research Team The Databricks AI Scaling team focuses on pushing the boundaries of large language model (LLM) training and inference efficiency beyond what is required to support existing models. The team explores novel avenues for scaling and efficiency improvements across algorithms, systems, and infrastructure, requiring researchers who can both drive independent research agendas and dive deep into low level implementation details with engineering partners. Role Summary As a Principal Research Scientist - AI Scaling, you will lead a team of world class researchers and engineers to advance the state of the art in large scale machine learning, focusing on post-training, RL and inference efficiency, optimization, and scaling. You will define and execute a research roadmap that advances the Databricks AI platform and delivers tangible improvements to how customers train, serve, and adapt LLMs at scale, working closely with product, data, and engineering leaders to bring cutting edge methods into production. The Impact You Will Have Lead and grow a multidisciplinary research team focused on foundational and applied AI problems, with a particular emphasis on LLM scaling, efficiency, and systems performance. Define the scaling research roadmap in alignment with Databricks' strategic objectives, prioritizing advances in foundation model efficiency and large scale training and inference. Drive algorithmic innovations for large scale neural network training and inference, including novel optimizers, low precision techniques, and model adaptation methods, and guide your team in rigorous empirical validation against state of the art approaches. Optimize end to end ML systems for distributed training and RL, memory efficiency, and compute efficiency through close collaboration with core systems and platform teams, ensuring that research ideas translate into performant, reliable infrastructure. Partner with product and engineering to translate research breakthroughs, especially around scaling and efficiency, into customer impacting capabilities in the Databricks AI platform. Foster a culture of scientific excellence and openness, including high quality research practices, reproducible experimentation, and effective internal knowledge sharing across Databricks AI. Represent Databricks AI research externally through top tier publications, conference talks, and collaborations with academia and the open source community, with a focus on optimization and efficiency for large scale models. Mentor and develop talent, providing both technical guidance (research agendas, experimentation, implementation) and career development support for research scientists and engineers. What You Will Do Define and lead independent research programs onfoundation model efficiency, covering topics such as optimizer design, low precision training/inference, scalable model architectures, and efficient adaptation methods. Oversee the design and execution of large scale experiments, including benchmarking against state of the art methods and evaluating trade offs in quality, latency, throughput, and cost. Work hands on with your team on high quality, efficient code in Python and PyTorch for research implementation, rapid prototyping, and integration with Databricks' production systems. Collaborate with distributed systems and infra teams to push the limits of distributed training , parallelism strategies, memory management, and hardware utilization for LLMs and other large models. Establish metrics, evaluation protocols, and best practices for scaling focused research (e.g., training efficiency, inference cost, energy usage) and drive their adoption across Databricks AI. Champion responsible and robust deployment of scaling innovations, ensuring that model behavior, reliability, and safety remain first class considerations. What We Look For Proven ability to lead a research team to develop novel techniques for foundation model efficiency and related topics, with a strong track record of industry impact. Deep expertise in at least one of: generative AI, LLMs, distributed ML systems, model optimization, or responsible AI, with a strong emphasis on scaling and efficiency for large scale neural networks. Hands on leadership - strong programming skills and demonstrated ability to write high quality, efficient code in Python and PyTorch for research implementation and experimentation. Demonstrated ability to translate research innovation into scalable product capabilities in partnership with product and engineering teams. Excellent communication, leadership, and stakeholder management skills, with experience influencing cross functional roadmaps and aligning research with business impact. Nice to Have Prior work at the intersection of systems and ML, such as distributed training frameworks, compiler and kernel optimization for deep learning workloads, or memory /compute efficient model design. Strong industry and academic network in large scale ML, with ongoing collaborations or service (e.g., PC/area chair) at top conferences in ML and systems. A strong record of research impact-such as first author publications at top ML/systems conferences (e.g., ICLR, ICML, NeurIPS, MLSys), influential open source contributions, or widely used deployed systems-especially in optimization or efficiency. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $270,000-$340,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
09/23/2026
Full time
Principal AI Research Scientist, Research Director - AI Scaling P-1227 About Databricks AI At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development, by building and running the world's best data and AI platform. The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI is committed to the belief that a company's AI models and agents are just as valuable as any other core IP, and that high-quality AI should be available to all. About the Scaling Research Team The Databricks AI Scaling team focuses on pushing the boundaries of large language model (LLM) training and inference efficiency beyond what is required to support existing models. The team explores novel avenues for scaling and efficiency improvements across algorithms, systems, and infrastructure, requiring researchers who can both drive independent research agendas and dive deep into low level implementation details with engineering partners. Role Summary As a Principal Research Scientist - AI Scaling, you will lead a team of world class researchers and engineers to advance the state of the art in large scale machine learning, focusing on post-training, RL and inference efficiency, optimization, and scaling. You will define and execute a research roadmap that advances the Databricks AI platform and delivers tangible improvements to how customers train, serve, and adapt LLMs at scale, working closely with product, data, and engineering leaders to bring cutting edge methods into production. The Impact You Will Have Lead and grow a multidisciplinary research team focused on foundational and applied AI problems, with a particular emphasis on LLM scaling, efficiency, and systems performance. Define the scaling research roadmap in alignment with Databricks' strategic objectives, prioritizing advances in foundation model efficiency and large scale training and inference. Drive algorithmic innovations for large scale neural network training and inference, including novel optimizers, low precision techniques, and model adaptation methods, and guide your team in rigorous empirical validation against state of the art approaches. Optimize end to end ML systems for distributed training and RL, memory efficiency, and compute efficiency through close collaboration with core systems and platform teams, ensuring that research ideas translate into performant, reliable infrastructure. Partner with product and engineering to translate research breakthroughs, especially around scaling and efficiency, into customer impacting capabilities in the Databricks AI platform. Foster a culture of scientific excellence and openness, including high quality research practices, reproducible experimentation, and effective internal knowledge sharing across Databricks AI. Represent Databricks AI research externally through top tier publications, conference talks, and collaborations with academia and the open source community, with a focus on optimization and efficiency for large scale models. Mentor and develop talent, providing both technical guidance (research agendas, experimentation, implementation) and career development support for research scientists and engineers. What You Will Do Define and lead independent research programs onfoundation model efficiency, covering topics such as optimizer design, low precision training/inference, scalable model architectures, and efficient adaptation methods. Oversee the design and execution of large scale experiments, including benchmarking against state of the art methods and evaluating trade offs in quality, latency, throughput, and cost. Work hands on with your team on high quality, efficient code in Python and PyTorch for research implementation, rapid prototyping, and integration with Databricks' production systems. Collaborate with distributed systems and infra teams to push the limits of distributed training , parallelism strategies, memory management, and hardware utilization for LLMs and other large models. Establish metrics, evaluation protocols, and best practices for scaling focused research (e.g., training efficiency, inference cost, energy usage) and drive their adoption across Databricks AI. Champion responsible and robust deployment of scaling innovations, ensuring that model behavior, reliability, and safety remain first class considerations. What We Look For Proven ability to lead a research team to develop novel techniques for foundation model efficiency and related topics, with a strong track record of industry impact. Deep expertise in at least one of: generative AI, LLMs, distributed ML systems, model optimization, or responsible AI, with a strong emphasis on scaling and efficiency for large scale neural networks. Hands on leadership - strong programming skills and demonstrated ability to write high quality, efficient code in Python and PyTorch for research implementation and experimentation. Demonstrated ability to translate research innovation into scalable product capabilities in partnership with product and engineering teams. Excellent communication, leadership, and stakeholder management skills, with experience influencing cross functional roadmaps and aligning research with business impact. Nice to Have Prior work at the intersection of systems and ML, such as distributed training frameworks, compiler and kernel optimization for deep learning workloads, or memory /compute efficient model design. Strong industry and academic network in large scale ML, with ongoing collaborations or service (e.g., PC/area chair) at top conferences in ML and systems. A strong record of research impact-such as first author publications at top ML/systems conferences (e.g., ICLR, ICML, NeurIPS, MLSys), influential open source contributions, or widely used deployed systems-especially in optimization or efficiency. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $270,000-$340,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Job Description Job Description About the Team: The Sensors Division within STR focuses on the development and analysis of advanced sensor systems in the RF, acoustic, and electro-optical domains. This includes the design and development of novel sensors and advanced information processing techniques from ideation to prototype implementations. The Subsea and Seabed Systems (SSS) Group develops and delivers advanced undersea sensor and signal processing systems, including bespoke undersea vehicles to deploy those systems. We apply those products to to intelligence, surveillance, and reconnaissance (ISR) and counter-ISR applications to deliver missions success to our customers. The Role: We are seeking a Principal Investigator (PI) to lead cutting edge research and development in advanced undersea sensing and robotic systems. This role is ideal for a technical leader who can originate innovative concepts, shape them into compelling customer focused proposals, architect and plan complex programs, and drive execution from initial idea through successful at sea demonstration. You will set the technical vision and lead multidisciplinary teams working on next generation Counter Uncrewed Underwater Vehicle (C UUV) technologies, acoustic underwater sensing and signal processing, noise control, undersea robotics, and other advanced undersea systems. You will engage directly with U.S. Government and industry partners, define new capabilities, and deliver operationally relevant solutions. What you will do: Technical Leadership & Vision Define and lead a research agenda in advanced undersea sensing and robotics, with emphasis on C UUV, acoustic sensing, signal processing, and noise control Architect system level solutions for uncrewed undersea vehicles, sensor payloads, and command and control (C2) systems, including sensing, processing, autonomy, and communications Provide technical direction to electrical, mechanical, software, and systems engineers; ensure integration of hardware, software, and algorithms into robust undersea systems An ideal candidate need not have depth in all areas of a system (electrical, mechanical, software, etc.), but needs to understand their system-level interplay and be able to lead a team across disciplines Innovation, Capture, and Customer Engagement Generate new concepts and technology approaches that address emerging undersea mission needs and capability gaps Lead the development of white papers, proposals, and briefings; pitch ideas and technical solutions to U.S. Government and other customers Shape program scope, technical objectives, and execution plans in collaboration with business development and program management Serve as the primary technical interface to customers, communicating trade offs, risks, and progress clearly and credibly Program Execution & Team Leadership Translate concepts into executable technical plans and collaborate with a Program Manager to develop work breakdown structures, schedules, risk management, and resource planning Lead technical teams through design, implementation, integration, and test of undersea systems, from lab prototypes to at sea demonstrations Ensure rigorous system level testing (HIL, lab, pool, and at sea), and drive iterative improvement based on test data and operational feedback Mentor and develop early career engineers and researchers; foster a culture of technical excellence, collaboration, and hands on problem solving Technical Execution (Domain Expertise) Provide technical expertise in an area of undersea research. This may include: Guide the design and integration of advanced acoustic sensing systems, including transducer arrays, front end electronics, and digital signal processing chains Lead research in C UUV detection, tracking, and defeat concepts, including sensing modalities, classification algorithms, and autonomous behaviors Direct efforts in noise control and signature management for undersea platforms and sensors Oversee embedded and real time processing architectures (e.g., FPGAs, GPUs, SBCs) supporting autonomy, signal processing, and C2 Maintain awareness of state of the art undersea technologies and incorporate relevant advances into ongoing and future programs Who you are: Ability to obtain a Top Secret security clearance with special access, for which U.S citizenship is needed by the U.S government Advanced degree (M.S. or Ph.D.) in Electrical Engineering, Computer Engineering, Ocean Engineering, Acoustics, Robotics, or a closely related field, and substantial experience (typically 8+ years) in undersea systems, sensing, or robotics; or equivalent combination of education and experience Experience as a technical lead on a complex R&D program, preferably in undersea or maritime domains Deep hands on experience in at least one core area: Acoustic underwater sensing and signal processing Counter UUV or undersea defense systems Undersea robotics and autonomy Noise control / signature management for undersea platforms Proven ability to: Develop innovative technical concepts and architectures Write and win competitive proposals or lead major technical captures Plan and manage technical execution for multidisciplinary teams Strong systems engineering mindset, including requirements development, architecture definition, trade studies, and verification/validation Practical familiarity with embedded systems and real time control (e.g., microcontrollers, FPGAs, SBCs) and their role in undersea platforms and sensing systems Experience with modeling, simulation, or analytical tools to set and assess performance expectations for UUVs or sensor systems Excellent written and verbal communication skills, including the ability to brief senior stakeholders and customers Even Better: Prior experience as a Principal Investigator or Chief Engineer on undersea robotics, UUV, advanced sensing, or complex R&D programs Experience designing electronics and systems for marine or other harsh environments (pressure, corrosion, moisture, vibration) Familiarity with robotic and autonomy frameworks (e.g., ROS, MOOS IvP, UMAA) and their integration with vehicle electronics and sensing systems Experience with advanced acoustic signal processing including array processing, detection, classification, localization, and tracking Background in control systems, sensor fusion, and their implications for hardware design, timing, and system architecture Experience with hardware in the loop (HIL) test setups, system level simulation, and at sea test campaigns, including deployment, operation, and recovery Experience interacting with the U.S. Navy or other U.S. Government organizations, including classified or special access programs Active Top Secret security clearance and prior special access program experience Experience with agile development methodologies and modern configuration management (e.g., Git) for hardware, firmware, and analysis tools This role is suited for a technical leader who thrives at the intersection of innovation, customer engagement, and hands on engineering, and who wants to shape the next generation of undersea sensing and robotic capabilities. Why Join Us? This is an opportunity to contribute to the development of groundbreaking undersea robotic and sensing systems that will shape the future of maritime autonomy. You will work alongside a passionate and talented team, tackling some of the most challenging and rewarding problems in the field. If you are a visionary roboticist with a drive to innovate and lead, we want to hear from you. Apply today and help us redefine what's possible beneath the waves. Pay Information Full-Time Salary Range: $220,000 - $260,000 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, Carlsbad, CA, Atlanta, GA, and Denver, CO. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status . click apply for full job details
09/17/2026
Full time
Job Description Job Description About the Team: The Sensors Division within STR focuses on the development and analysis of advanced sensor systems in the RF, acoustic, and electro-optical domains. This includes the design and development of novel sensors and advanced information processing techniques from ideation to prototype implementations. The Subsea and Seabed Systems (SSS) Group develops and delivers advanced undersea sensor and signal processing systems, including bespoke undersea vehicles to deploy those systems. We apply those products to to intelligence, surveillance, and reconnaissance (ISR) and counter-ISR applications to deliver missions success to our customers. The Role: We are seeking a Principal Investigator (PI) to lead cutting edge research and development in advanced undersea sensing and robotic systems. This role is ideal for a technical leader who can originate innovative concepts, shape them into compelling customer focused proposals, architect and plan complex programs, and drive execution from initial idea through successful at sea demonstration. You will set the technical vision and lead multidisciplinary teams working on next generation Counter Uncrewed Underwater Vehicle (C UUV) technologies, acoustic underwater sensing and signal processing, noise control, undersea robotics, and other advanced undersea systems. You will engage directly with U.S. Government and industry partners, define new capabilities, and deliver operationally relevant solutions. What you will do: Technical Leadership & Vision Define and lead a research agenda in advanced undersea sensing and robotics, with emphasis on C UUV, acoustic sensing, signal processing, and noise control Architect system level solutions for uncrewed undersea vehicles, sensor payloads, and command and control (C2) systems, including sensing, processing, autonomy, and communications Provide technical direction to electrical, mechanical, software, and systems engineers; ensure integration of hardware, software, and algorithms into robust undersea systems An ideal candidate need not have depth in all areas of a system (electrical, mechanical, software, etc.), but needs to understand their system-level interplay and be able to lead a team across disciplines Innovation, Capture, and Customer Engagement Generate new concepts and technology approaches that address emerging undersea mission needs and capability gaps Lead the development of white papers, proposals, and briefings; pitch ideas and technical solutions to U.S. Government and other customers Shape program scope, technical objectives, and execution plans in collaboration with business development and program management Serve as the primary technical interface to customers, communicating trade offs, risks, and progress clearly and credibly Program Execution & Team Leadership Translate concepts into executable technical plans and collaborate with a Program Manager to develop work breakdown structures, schedules, risk management, and resource planning Lead technical teams through design, implementation, integration, and test of undersea systems, from lab prototypes to at sea demonstrations Ensure rigorous system level testing (HIL, lab, pool, and at sea), and drive iterative improvement based on test data and operational feedback Mentor and develop early career engineers and researchers; foster a culture of technical excellence, collaboration, and hands on problem solving Technical Execution (Domain Expertise) Provide technical expertise in an area of undersea research. This may include: Guide the design and integration of advanced acoustic sensing systems, including transducer arrays, front end electronics, and digital signal processing chains Lead research in C UUV detection, tracking, and defeat concepts, including sensing modalities, classification algorithms, and autonomous behaviors Direct efforts in noise control and signature management for undersea platforms and sensors Oversee embedded and real time processing architectures (e.g., FPGAs, GPUs, SBCs) supporting autonomy, signal processing, and C2 Maintain awareness of state of the art undersea technologies and incorporate relevant advances into ongoing and future programs Who you are: Ability to obtain a Top Secret security clearance with special access, for which U.S citizenship is needed by the U.S government Advanced degree (M.S. or Ph.D.) in Electrical Engineering, Computer Engineering, Ocean Engineering, Acoustics, Robotics, or a closely related field, and substantial experience (typically 8+ years) in undersea systems, sensing, or robotics; or equivalent combination of education and experience Experience as a technical lead on a complex R&D program, preferably in undersea or maritime domains Deep hands on experience in at least one core area: Acoustic underwater sensing and signal processing Counter UUV or undersea defense systems Undersea robotics and autonomy Noise control / signature management for undersea platforms Proven ability to: Develop innovative technical concepts and architectures Write and win competitive proposals or lead major technical captures Plan and manage technical execution for multidisciplinary teams Strong systems engineering mindset, including requirements development, architecture definition, trade studies, and verification/validation Practical familiarity with embedded systems and real time control (e.g., microcontrollers, FPGAs, SBCs) and their role in undersea platforms and sensing systems Experience with modeling, simulation, or analytical tools to set and assess performance expectations for UUVs or sensor systems Excellent written and verbal communication skills, including the ability to brief senior stakeholders and customers Even Better: Prior experience as a Principal Investigator or Chief Engineer on undersea robotics, UUV, advanced sensing, or complex R&D programs Experience designing electronics and systems for marine or other harsh environments (pressure, corrosion, moisture, vibration) Familiarity with robotic and autonomy frameworks (e.g., ROS, MOOS IvP, UMAA) and their integration with vehicle electronics and sensing systems Experience with advanced acoustic signal processing including array processing, detection, classification, localization, and tracking Background in control systems, sensor fusion, and their implications for hardware design, timing, and system architecture Experience with hardware in the loop (HIL) test setups, system level simulation, and at sea test campaigns, including deployment, operation, and recovery Experience interacting with the U.S. Navy or other U.S. Government organizations, including classified or special access programs Active Top Secret security clearance and prior special access program experience Experience with agile development methodologies and modern configuration management (e.g., Git) for hardware, firmware, and analysis tools This role is suited for a technical leader who thrives at the intersection of innovation, customer engagement, and hands on engineering, and who wants to shape the next generation of undersea sensing and robotic capabilities. Why Join Us? This is an opportunity to contribute to the development of groundbreaking undersea robotic and sensing systems that will shape the future of maritime autonomy. You will work alongside a passionate and talented team, tackling some of the most challenging and rewarding problems in the field. If you are a visionary roboticist with a drive to innovate and lead, we want to hear from you. Apply today and help us redefine what's possible beneath the waves. Pay Information Full-Time Salary Range: $220,000 - $260,000 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, Carlsbad, CA, Atlanta, GA, and Denver, CO. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status . click apply for full job details
Job Description Job Description About the Team: The Sensors Division within STR focuses on the development and analysis of advanced sensor systems in the RF, acoustic, and electro-optical domains. This includes the design and development of novel sensors and advanced information processing techniques from ideation to prototype implementations. The Subsea and Seabed Systems (SSS) Group develops and delivers advanced undersea sensor and signal processing systems, including bespoke undersea vehicles to deploy those systems. We apply those products to to intelligence, surveillance, and reconnaissance (ISR) and counter-ISR applications to deliver missions success to our customers. The Role: We are seeking a Principal Investigator (PI) to lead cutting edge research and development in advanced undersea sensing and robotic systems. This role is ideal for a technical leader who can originate innovative concepts, shape them into compelling customer focused proposals, architect and plan complex programs, and drive execution from initial idea through successful at sea demonstration. You will set the technical vision and lead multidisciplinary teams working on next generation Counter Uncrewed Underwater Vehicle (C UUV) technologies, acoustic underwater sensing and signal processing, noise control, undersea robotics, and other advanced undersea systems. You will engage directly with U.S. Government and industry partners, define new capabilities, and deliver operationally relevant solutions. What you will do: Technical Leadership & Vision Define and lead a research agenda in advanced undersea sensing and robotics, with emphasis on C UUV, acoustic sensing, signal processing, and noise control Architect system level solutions for uncrewed undersea vehicles, sensor payloads, and command and control (C2) systems, including sensing, processing, autonomy, and communications Provide technical direction to electrical, mechanical, software, and systems engineers; ensure integration of hardware, software, and algorithms into robust undersea systems An ideal candidate need not have depth in all areas of a system (electrical, mechanical, software, etc.), but needs to understand their system-level interplay and be able to lead a team across disciplines Innovation, Capture, and Customer Engagement Generate new concepts and technology approaches that address emerging undersea mission needs and capability gaps Lead the development of white papers, proposals, and briefings; pitch ideas and technical solutions to U.S. Government and other customers Shape program scope, technical objectives, and execution plans in collaboration with business development and program management Serve as the primary technical interface to customers, communicating trade offs, risks, and progress clearly and credibly Program Execution & Team Leadership Translate concepts into executable technical plans and collaborate with a Program Manager to develop work breakdown structures, schedules, risk management, and resource planning Lead technical teams through design, implementation, integration, and test of undersea systems, from lab prototypes to at sea demonstrations Ensure rigorous system level testing (HIL, lab, pool, and at sea), and drive iterative improvement based on test data and operational feedback Mentor and develop early career engineers and researchers; foster a culture of technical excellence, collaboration, and hands on problem solving Technical Execution (Domain Expertise) Provide technical expertise in an area of undersea research. This may include: Guide the design and integration of advanced acoustic sensing systems, including transducer arrays, front end electronics, and digital signal processing chains Lead research in C UUV detection, tracking, and defeat concepts, including sensing modalities, classification algorithms, and autonomous behaviors Direct efforts in noise control and signature management for undersea platforms and sensors Oversee embedded and real time processing architectures (e.g., FPGAs, GPUs, SBCs) supporting autonomy, signal processing, and C2 Maintain awareness of state of the art undersea technologies and incorporate relevant advances into ongoing and future programs Who you are: Ability to obtain a Top Secret security clearance with special access, for which U.S citizenship is needed by the U.S government Advanced degree (M.S. or Ph.D.) in Electrical Engineering, Computer Engineering, Ocean Engineering, Acoustics, Robotics, or a closely related field, and substantial experience (typically 8+ years) in undersea systems, sensing, or robotics; or equivalent combination of education and experience Experience as a technical lead on a complex R&D program, preferably in undersea or maritime domains Deep hands on experience in at least one core area: Acoustic underwater sensing and signal processing Counter UUV or undersea defense systems Undersea robotics and autonomy Noise control / signature management for undersea platforms Proven ability to: Develop innovative technical concepts and architectures Write and win competitive proposals or lead major technical captures Plan and manage technical execution for multidisciplinary teams Strong systems engineering mindset, including requirements development, architecture definition, trade studies, and verification/validation Practical familiarity with embedded systems and real time control (e.g., microcontrollers, FPGAs, SBCs) and their role in undersea platforms and sensing systems Experience with modeling, simulation, or analytical tools to set and assess performance expectations for UUVs or sensor systems Excellent written and verbal communication skills, including the ability to brief senior stakeholders and customers Even Better: Prior experience as a Principal Investigator or Chief Engineer on undersea robotics, UUV, advanced sensing, or complex R&D programs Experience designing electronics and systems for marine or other harsh environments (pressure, corrosion, moisture, vibration) Familiarity with robotic and autonomy frameworks (e.g., ROS, MOOS IvP, UMAA) and their integration with vehicle electronics and sensing systems Experience with advanced acoustic signal processing including array processing, detection, classification, localization, and tracking Background in control systems, sensor fusion, and their implications for hardware design, timing, and system architecture Experience with hardware in the loop (HIL) test setups, system level simulation, and at sea test campaigns, including deployment, operation, and recovery Experience interacting with the U.S. Navy or other U.S. Government organizations, including classified or special access programs Active Top Secret security clearance and prior special access program experience Experience with agile development methodologies and modern configuration management (e.g., Git) for hardware, firmware, and analysis tools This role is suited for a technical leader who thrives at the intersection of innovation, customer engagement, and hands on engineering, and who wants to shape the next generation of undersea sensing and robotic capabilities. Why Join Us? This is an opportunity to contribute to the development of groundbreaking undersea robotic and sensing systems that will shape the future of maritime autonomy. You will work alongside a passionate and talented team, tackling some of the most challenging and rewarding problems in the field. If you are a visionary roboticist with a drive to innovate and lead, we want to hear from you. Apply today and help us redefine what's possible beneath the waves. Pay Information Full-Time Salary Range: $220,000 - $260,000 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, Carlsbad, CA, Atlanta, GA, and Denver, CO. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status . click apply for full job details
09/17/2026
Full time
Job Description Job Description About the Team: The Sensors Division within STR focuses on the development and analysis of advanced sensor systems in the RF, acoustic, and electro-optical domains. This includes the design and development of novel sensors and advanced information processing techniques from ideation to prototype implementations. The Subsea and Seabed Systems (SSS) Group develops and delivers advanced undersea sensor and signal processing systems, including bespoke undersea vehicles to deploy those systems. We apply those products to to intelligence, surveillance, and reconnaissance (ISR) and counter-ISR applications to deliver missions success to our customers. The Role: We are seeking a Principal Investigator (PI) to lead cutting edge research and development in advanced undersea sensing and robotic systems. This role is ideal for a technical leader who can originate innovative concepts, shape them into compelling customer focused proposals, architect and plan complex programs, and drive execution from initial idea through successful at sea demonstration. You will set the technical vision and lead multidisciplinary teams working on next generation Counter Uncrewed Underwater Vehicle (C UUV) technologies, acoustic underwater sensing and signal processing, noise control, undersea robotics, and other advanced undersea systems. You will engage directly with U.S. Government and industry partners, define new capabilities, and deliver operationally relevant solutions. What you will do: Technical Leadership & Vision Define and lead a research agenda in advanced undersea sensing and robotics, with emphasis on C UUV, acoustic sensing, signal processing, and noise control Architect system level solutions for uncrewed undersea vehicles, sensor payloads, and command and control (C2) systems, including sensing, processing, autonomy, and communications Provide technical direction to electrical, mechanical, software, and systems engineers; ensure integration of hardware, software, and algorithms into robust undersea systems An ideal candidate need not have depth in all areas of a system (electrical, mechanical, software, etc.), but needs to understand their system-level interplay and be able to lead a team across disciplines Innovation, Capture, and Customer Engagement Generate new concepts and technology approaches that address emerging undersea mission needs and capability gaps Lead the development of white papers, proposals, and briefings; pitch ideas and technical solutions to U.S. Government and other customers Shape program scope, technical objectives, and execution plans in collaboration with business development and program management Serve as the primary technical interface to customers, communicating trade offs, risks, and progress clearly and credibly Program Execution & Team Leadership Translate concepts into executable technical plans and collaborate with a Program Manager to develop work breakdown structures, schedules, risk management, and resource planning Lead technical teams through design, implementation, integration, and test of undersea systems, from lab prototypes to at sea demonstrations Ensure rigorous system level testing (HIL, lab, pool, and at sea), and drive iterative improvement based on test data and operational feedback Mentor and develop early career engineers and researchers; foster a culture of technical excellence, collaboration, and hands on problem solving Technical Execution (Domain Expertise) Provide technical expertise in an area of undersea research. This may include: Guide the design and integration of advanced acoustic sensing systems, including transducer arrays, front end electronics, and digital signal processing chains Lead research in C UUV detection, tracking, and defeat concepts, including sensing modalities, classification algorithms, and autonomous behaviors Direct efforts in noise control and signature management for undersea platforms and sensors Oversee embedded and real time processing architectures (e.g., FPGAs, GPUs, SBCs) supporting autonomy, signal processing, and C2 Maintain awareness of state of the art undersea technologies and incorporate relevant advances into ongoing and future programs Who you are: Ability to obtain a Top Secret security clearance with special access, for which U.S citizenship is needed by the U.S government Advanced degree (M.S. or Ph.D.) in Electrical Engineering, Computer Engineering, Ocean Engineering, Acoustics, Robotics, or a closely related field, and substantial experience (typically 8+ years) in undersea systems, sensing, or robotics; or equivalent combination of education and experience Experience as a technical lead on a complex R&D program, preferably in undersea or maritime domains Deep hands on experience in at least one core area: Acoustic underwater sensing and signal processing Counter UUV or undersea defense systems Undersea robotics and autonomy Noise control / signature management for undersea platforms Proven ability to: Develop innovative technical concepts and architectures Write and win competitive proposals or lead major technical captures Plan and manage technical execution for multidisciplinary teams Strong systems engineering mindset, including requirements development, architecture definition, trade studies, and verification/validation Practical familiarity with embedded systems and real time control (e.g., microcontrollers, FPGAs, SBCs) and their role in undersea platforms and sensing systems Experience with modeling, simulation, or analytical tools to set and assess performance expectations for UUVs or sensor systems Excellent written and verbal communication skills, including the ability to brief senior stakeholders and customers Even Better: Prior experience as a Principal Investigator or Chief Engineer on undersea robotics, UUV, advanced sensing, or complex R&D programs Experience designing electronics and systems for marine or other harsh environments (pressure, corrosion, moisture, vibration) Familiarity with robotic and autonomy frameworks (e.g., ROS, MOOS IvP, UMAA) and their integration with vehicle electronics and sensing systems Experience with advanced acoustic signal processing including array processing, detection, classification, localization, and tracking Background in control systems, sensor fusion, and their implications for hardware design, timing, and system architecture Experience with hardware in the loop (HIL) test setups, system level simulation, and at sea test campaigns, including deployment, operation, and recovery Experience interacting with the U.S. Navy or other U.S. Government organizations, including classified or special access programs Active Top Secret security clearance and prior special access program experience Experience with agile development methodologies and modern configuration management (e.g., Git) for hardware, firmware, and analysis tools This role is suited for a technical leader who thrives at the intersection of innovation, customer engagement, and hands on engineering, and who wants to shape the next generation of undersea sensing and robotic capabilities. Why Join Us? This is an opportunity to contribute to the development of groundbreaking undersea robotic and sensing systems that will shape the future of maritime autonomy. You will work alongside a passionate and talented team, tackling some of the most challenging and rewarding problems in the field. If you are a visionary roboticist with a drive to innovate and lead, we want to hear from you. Apply today and help us redefine what's possible beneath the waves. Pay Information Full-Time Salary Range: $220,000 - $260,000 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, Carlsbad, CA, Atlanta, GA, and Denver, CO. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status . click apply for full job details