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 Job Title: AV / VTC Engineer - Unified Communications (UC) Engineer Location: Stuttgart Germany Clearance: TS/SCI (Required) Employment Type: Full-Time Position Overview Interagency C5I (iC5I) is seeking a highly skilled AV / VTC Engineer - Unified Communications (UC) Engineer to support mission-critical communications for U.S. Government operations across the EUCOM and AFRICOM Areas of Responsibility. This role designs, implements, operates, and maintains secure, resilient, and highly available audio-visual, video teleconferencing, and unified communications systems integrating voice, video, data, and collaboration services across enterprise, classified, and coalition environments. The position supports senior leaders and distributed operational users in demanding overseas environments, including providing command-level technical briefings, and requires both deep technical expertise and the ability to perform in high-tempo mission settings. Key Responsibilities Unified Communications, AV, and VTC Engineering Design, deploy, and maintain enterprise AV, VTC, and UC solutions integrating IP telephony, video conferencing, collaboration platforms, and messaging. Implement, configure, and administer Cisco Unified Communications Manager (CUCM), video endpoints, conference room systems, and collaboration tools (e.g., Jabber, IP phones, cameras, codecs, gateways). Ensure secure, reliable voice and video services across unclassified, secret, and coalition networks. IT Infrastructure & System Administration Analyze, troubleshoot, and resolve IT infrastructure issues involving servers, storage, networks, security systems, and end-user devices. Provide system administration for assigned infrastructure, including account management, access control, and security configuration. Apply security patches, firmware updates, and operating system upgrades to maintain system integrity and compliance. Maintain availability, performance, and recoverability of UC and supporting infrastructure. Monitoring & Troubleshooting Monitor call quality, video performance, system health, and service availability. Perform root-cause analysis using packet captures, system logs, and diagnostic tools. Resolve Tier II-III issues affecting voice, video, network connectivity, servers, and AV systems. Cybersecurity & Compliance Ensure UC and AV systems comply with DoD cybersecurity, STIG, and RMF requirements. Implement security baselines, support vulnerability remediation, and manage secure access controls. Project & Integration Support Support new UC, AV, and infrastructure deployments, upgrades, and technology refreshes. Integrate UC platforms with directory services, networks, and cybersecurity tools. Coordinate with vendors, DISA, and internal IT teams. Documentation & Configuration Management Maintain configuration baselines, network diagrams, asset inventories, and change records. Ensure all UC and AV components are fully documented and audit-ready. Executive & Mission Support Provide high-visibility support for senior leaders, VTCs, and mission-critical briefings. Deliver command-level technical briefings and operational guidance as required. Required Qualifications Active TS/SCI clearance Certifications CCNA or CCNP Collaboration Security+ or SecurityX (CASP) Experience Minimum 5 years supporting Unified Communications, AV/VTC, or enterprise IT environments Technical proficiency with Cisco UC technologies including CUCM, Jabber, IP phones, voice gateways, and video conferencing platforms OCONUS / Overseas experience Experience supporting executive-level and high-availability environments Desired Qualifications Strong networking knowledge (routing, switching, QoS, VoIP traffic engineering) Advanced troubleshooting using tools such as Wireshark and system traces Experience with servers, virtualization, storage, and secure networks Project management experience for UC or AV deployments Familiarity with DISA, AFRICOM, or EUCOM environments Knowledge of DoD cybersecurity, RMF, and STIG compliance Familiarity with the Technical Expert Status Accreditation (TESA) process
09/15/2026
Full time
Job Description Job Description Job Title: AV / VTC Engineer - Unified Communications (UC) Engineer Location: Stuttgart Germany Clearance: TS/SCI (Required) Employment Type: Full-Time Position Overview Interagency C5I (iC5I) is seeking a highly skilled AV / VTC Engineer - Unified Communications (UC) Engineer to support mission-critical communications for U.S. Government operations across the EUCOM and AFRICOM Areas of Responsibility. This role designs, implements, operates, and maintains secure, resilient, and highly available audio-visual, video teleconferencing, and unified communications systems integrating voice, video, data, and collaboration services across enterprise, classified, and coalition environments. The position supports senior leaders and distributed operational users in demanding overseas environments, including providing command-level technical briefings, and requires both deep technical expertise and the ability to perform in high-tempo mission settings. Key Responsibilities Unified Communications, AV, and VTC Engineering Design, deploy, and maintain enterprise AV, VTC, and UC solutions integrating IP telephony, video conferencing, collaboration platforms, and messaging. Implement, configure, and administer Cisco Unified Communications Manager (CUCM), video endpoints, conference room systems, and collaboration tools (e.g., Jabber, IP phones, cameras, codecs, gateways). Ensure secure, reliable voice and video services across unclassified, secret, and coalition networks. IT Infrastructure & System Administration Analyze, troubleshoot, and resolve IT infrastructure issues involving servers, storage, networks, security systems, and end-user devices. Provide system administration for assigned infrastructure, including account management, access control, and security configuration. Apply security patches, firmware updates, and operating system upgrades to maintain system integrity and compliance. Maintain availability, performance, and recoverability of UC and supporting infrastructure. Monitoring & Troubleshooting Monitor call quality, video performance, system health, and service availability. Perform root-cause analysis using packet captures, system logs, and diagnostic tools. Resolve Tier II-III issues affecting voice, video, network connectivity, servers, and AV systems. Cybersecurity & Compliance Ensure UC and AV systems comply with DoD cybersecurity, STIG, and RMF requirements. Implement security baselines, support vulnerability remediation, and manage secure access controls. Project & Integration Support Support new UC, AV, and infrastructure deployments, upgrades, and technology refreshes. Integrate UC platforms with directory services, networks, and cybersecurity tools. Coordinate with vendors, DISA, and internal IT teams. Documentation & Configuration Management Maintain configuration baselines, network diagrams, asset inventories, and change records. Ensure all UC and AV components are fully documented and audit-ready. Executive & Mission Support Provide high-visibility support for senior leaders, VTCs, and mission-critical briefings. Deliver command-level technical briefings and operational guidance as required. Required Qualifications Active TS/SCI clearance Certifications CCNA or CCNP Collaboration Security+ or SecurityX (CASP) Experience Minimum 5 years supporting Unified Communications, AV/VTC, or enterprise IT environments Technical proficiency with Cisco UC technologies including CUCM, Jabber, IP phones, voice gateways, and video conferencing platforms OCONUS / Overseas experience Experience supporting executive-level and high-availability environments Desired Qualifications Strong networking knowledge (routing, switching, QoS, VoIP traffic engineering) Advanced troubleshooting using tools such as Wireshark and system traces Experience with servers, virtualization, storage, and secure networks Project management experience for UC or AV deployments Familiarity with DISA, AFRICOM, or EUCOM environments Knowledge of DoD cybersecurity, RMF, and STIG compliance Familiarity with the Technical Expert Status Accreditation (TESA) process
Job Description Job Description System Technicians are integral members of the organization's community as they work to support the Elite Casino Resorts mission and vision. They provide services necessary for a high quality technology experience. System Technicians are expected to adhere to ethical standards of professional conduct and act in a manner consistent with the organization's code of business ethics including but not limited to maintaining confidentiality, excellence, integrity, respect, responsibility, and trustworthiness. The System Technician II role is a frontline, customer facing position. This experienced role is primarily responsible for entitlement management, equipment maintenance, compliance auditing, computer and peripheral deployment, alert monitoring, and problem resolution. Essential Duties & Responsibilities Entitlement services - Manage changes related to physical and logical access. This is done by applying access and permissions based on requirements evaluation and developing solutions to achieve system functions per the requirement specifications. Procurement - Gather information from end user opportunities and evaluate their job requirements to determine hardware, software, or system functional specifications, design a solution, and propose to leadership. Assist teammates with inventory control, asset disposal, shipping and receiving. Equipment deployment - Deploy telephone, computing, and peripherals by designing system images, testing configuration templates, and installing hardware/ software / systems based on end user requirement specifications and evaluation techniques. Patch management - Assist with patch management by creating, testing, and deploying security and software version updates to company computing assets, troubleshooting and remediating any issues or concerns while maintaining the appropriate priority, and the following the escalation process. Ticket handling - Assist end users with break/ fix troubleshooting, equipment moves, and recurring compliance related responsibilities based on priority. This includes assisting with workload prioritization as well as ensuring that key findings / developed solutions are documented. On call duties - Participate in the after-hours on call rotation to investigate and examine system alarms, respond to critical end user technical needs, and remediate business impacting events. Monitoring - Actively monitor company technology assets by watching monitoring tools and respond when thresholds are exceeded to rectify the root cause. Compliance auditing - Assist with regular and ongoing compliance audit review related to entitlement review, log evaluation, and security events, and evaluate the results to determine and document compliance status. Enterprise Printing - Manage the enterprise workgroup/desktop printer and multi-function (print, copy, scan, fax) fleet configuration and by working with vendors to maintain the necessary supplies, maintenance kits, adding/ removing equipment from coverage, and problem resolution. Move Add Change - Manage directory services as it pertains to user rights and permissions, email distribution groups, and security entitlement. Apply change management when delivering application and database specific modifications requested by end users. Coordinate modifications to physical work space and/or technology equipment. Documentation - Assist with writing documentation related to all aspects of the essential duties defined here to be used as process and procedure guidelines. Provide documentation to complete ticket handling that includes step by step guidelines for the action taken. Vendors - Manage problem resolution activities with 3rd party vendors including ticket creation and remote access. Monitor workload of other team members and assist others to help shorten timeframes while driving problem resolution. Point of escalation for other team members. Team Mentoring - Offer mentoring guidance to other team members to help further develop their skills through improved evaluation, and diagnostic techniques and effective technical procedures Automation - Design, test, and create software installation packages related to or running on top of machine operating systems as it pertains to software repairs and vendor-supplied patches including documenting the end result / solution. Deployment Systems - Utilize deployment systems to manage assets, create machine images, test application deployment, and complete patch management deployment. Enterprise Backups - Assist with basic backup duties and tape rotation to maintain compliance and perform file restores as needed. Educational and Experience Requirements An Associate's degree (A.A.), 2-4 years College or Technical Training at an accredited institution in the field of computer science or management information systems and/or 2 to 3 years of directly related work experience is required. Additional requirements include: Demonstrated knowledge of computer hardware, software, and peripheral equipment. Highly skilled in computer troubleshooting and familiar with imaging. Demonstrated knowledge of patch management in a Microsoft windows operating system environment Intermediate technical knowledge of scripting code using shell scripting tools. Good working knowledge of network monitoring, port level access, equipment replacement with configuration. Good working knowledge of IP phone replacement, configuration, and system monitoring. Comfortable working in Cisco Unified Communications systems preferred. Good working knowledge of entitlement working in a Microsoft environment using Active Directory. Good working knowledge of virtualization. Familiarity with VMWare preferred. Good working knowledge and experience installing and configuring server hardware and associated network equipment, including RAID, SCSI, and I/O topologies. Good working knowledge of the following storage systems concepts: storage area networks, backup systems. Good working knowledge of load balancing, clustering, and high availability environments. Experience in the gaming industry plus. Other Special Requirements Strong sense of urgency and driven to achieve results. Highly self-motivated with keen attention to detail and quality. Effective written and oral communication skills; good interpersonal skills. Ability to conduct independent research into issues and solutions. Proven strong diagnostic and problem-solving abilities. Ability to effectively prioritize operational tasks. Past involvement in a team-oriented, collaborative environment. Ability to manage multiple projects and operational tasks simultaneously. Strong customer service skills. Attends all mandatory meetings and training. Occupational certifications (CCNA/CCNP, CNA/CNE, MCSA/MCSE, CompTIA A+) in related field is preferred. Must be able to obtain and retain a gaming license issued by the Iowa Racing and Gaming Commission. Assure ongoing compliance with Elite Casino Resorts policies and procedures, Iowa Racing and Gaming Rules and Regulations, and any other local, state, or federal guidelines in both gaming and non-gaming departments with continuous monitoring and reporting.
09/15/2026
Full time
Job Description Job Description System Technicians are integral members of the organization's community as they work to support the Elite Casino Resorts mission and vision. They provide services necessary for a high quality technology experience. System Technicians are expected to adhere to ethical standards of professional conduct and act in a manner consistent with the organization's code of business ethics including but not limited to maintaining confidentiality, excellence, integrity, respect, responsibility, and trustworthiness. The System Technician II role is a frontline, customer facing position. This experienced role is primarily responsible for entitlement management, equipment maintenance, compliance auditing, computer and peripheral deployment, alert monitoring, and problem resolution. Essential Duties & Responsibilities Entitlement services - Manage changes related to physical and logical access. This is done by applying access and permissions based on requirements evaluation and developing solutions to achieve system functions per the requirement specifications. Procurement - Gather information from end user opportunities and evaluate their job requirements to determine hardware, software, or system functional specifications, design a solution, and propose to leadership. Assist teammates with inventory control, asset disposal, shipping and receiving. Equipment deployment - Deploy telephone, computing, and peripherals by designing system images, testing configuration templates, and installing hardware/ software / systems based on end user requirement specifications and evaluation techniques. Patch management - Assist with patch management by creating, testing, and deploying security and software version updates to company computing assets, troubleshooting and remediating any issues or concerns while maintaining the appropriate priority, and the following the escalation process. Ticket handling - Assist end users with break/ fix troubleshooting, equipment moves, and recurring compliance related responsibilities based on priority. This includes assisting with workload prioritization as well as ensuring that key findings / developed solutions are documented. On call duties - Participate in the after-hours on call rotation to investigate and examine system alarms, respond to critical end user technical needs, and remediate business impacting events. Monitoring - Actively monitor company technology assets by watching monitoring tools and respond when thresholds are exceeded to rectify the root cause. Compliance auditing - Assist with regular and ongoing compliance audit review related to entitlement review, log evaluation, and security events, and evaluate the results to determine and document compliance status. Enterprise Printing - Manage the enterprise workgroup/desktop printer and multi-function (print, copy, scan, fax) fleet configuration and by working with vendors to maintain the necessary supplies, maintenance kits, adding/ removing equipment from coverage, and problem resolution. Move Add Change - Manage directory services as it pertains to user rights and permissions, email distribution groups, and security entitlement. Apply change management when delivering application and database specific modifications requested by end users. Coordinate modifications to physical work space and/or technology equipment. Documentation - Assist with writing documentation related to all aspects of the essential duties defined here to be used as process and procedure guidelines. Provide documentation to complete ticket handling that includes step by step guidelines for the action taken. Vendors - Manage problem resolution activities with 3rd party vendors including ticket creation and remote access. Monitor workload of other team members and assist others to help shorten timeframes while driving problem resolution. Point of escalation for other team members. Team Mentoring - Offer mentoring guidance to other team members to help further develop their skills through improved evaluation, and diagnostic techniques and effective technical procedures Automation - Design, test, and create software installation packages related to or running on top of machine operating systems as it pertains to software repairs and vendor-supplied patches including documenting the end result / solution. Deployment Systems - Utilize deployment systems to manage assets, create machine images, test application deployment, and complete patch management deployment. Enterprise Backups - Assist with basic backup duties and tape rotation to maintain compliance and perform file restores as needed. Educational and Experience Requirements An Associate's degree (A.A.), 2-4 years College or Technical Training at an accredited institution in the field of computer science or management information systems and/or 2 to 3 years of directly related work experience is required. Additional requirements include: Demonstrated knowledge of computer hardware, software, and peripheral equipment. Highly skilled in computer troubleshooting and familiar with imaging. Demonstrated knowledge of patch management in a Microsoft windows operating system environment Intermediate technical knowledge of scripting code using shell scripting tools. Good working knowledge of network monitoring, port level access, equipment replacement with configuration. Good working knowledge of IP phone replacement, configuration, and system monitoring. Comfortable working in Cisco Unified Communications systems preferred. Good working knowledge of entitlement working in a Microsoft environment using Active Directory. Good working knowledge of virtualization. Familiarity with VMWare preferred. Good working knowledge and experience installing and configuring server hardware and associated network equipment, including RAID, SCSI, and I/O topologies. Good working knowledge of the following storage systems concepts: storage area networks, backup systems. Good working knowledge of load balancing, clustering, and high availability environments. Experience in the gaming industry plus. Other Special Requirements Strong sense of urgency and driven to achieve results. Highly self-motivated with keen attention to detail and quality. Effective written and oral communication skills; good interpersonal skills. Ability to conduct independent research into issues and solutions. Proven strong diagnostic and problem-solving abilities. Ability to effectively prioritize operational tasks. Past involvement in a team-oriented, collaborative environment. Ability to manage multiple projects and operational tasks simultaneously. Strong customer service skills. Attends all mandatory meetings and training. Occupational certifications (CCNA/CCNP, CNA/CNE, MCSA/MCSE, CompTIA A+) in related field is preferred. Must be able to obtain and retain a gaming license issued by the Iowa Racing and Gaming Commission. Assure ongoing compliance with Elite Casino Resorts policies and procedures, Iowa Racing and Gaming Rules and Regulations, and any other local, state, or federal guidelines in both gaming and non-gaming departments with continuous monitoring and reporting.