Job Description Job Description Job Title: Machine Learning Operations Engineer Location: Dallas, Texas Type: Contract To Hire Visa : USC, GC, EAD (Only W2, No Sponsorship) Responsibilities Optimize and maintain large-scale feature engineering pipelines using PySpark, Pandas, and PyArrow on Hadoop-based infrastructure. Refactor and modularize ML codebases to enhance reusability, maintainability, and performance. Collaborate with platform teams on compute capacity planning, resource allocation, and system upgrades. Integrate with existing model serving frameworks to support testing, deployment, and rollback processes. Monitor and troubleshoot production ML pipelines, ensuring high reliability, low latency, and cost efficiency. Contribute to internal ML platforms by sharing insights, proposing improvements, and documenting best practices. Build near real-time ML pipelines using Kafka and Spark Streaming. Work with AWS and SageMaker MLOps ecosystem. Requirements 6+ years of experience in software engineering, data engineering, or MLOps roles. Strong programming expertise in Python, with hands-on experience in Pandas, PySpark, and PyArrow. Deep understanding of the Hadoop ecosystem, distributed computing, and performance tuning. Experience with CI/CD pipelines and best practices in ML environments. Hands-on experience with monitoring tools for ML pipeline health and performance. Strong collaboration skills with experience working in cross-functional teams (platform, data science, engineering). Experience contributing to or building internal MLOps frameworks/platforms. Familiarity with SLURM clusters or other distributed job schedulers. Exposure to Kafka, Spark Streaming, or other real-time data processing technologies. Understanding of ML lifecycle management, including versioning, deployment, and drift detection. - KB1 Ref: Pittsburgh
09/17/2026
Full time
Job Description Job Description Job Title: Machine Learning Operations Engineer Location: Dallas, Texas Type: Contract To Hire Visa : USC, GC, EAD (Only W2, No Sponsorship) Responsibilities Optimize and maintain large-scale feature engineering pipelines using PySpark, Pandas, and PyArrow on Hadoop-based infrastructure. Refactor and modularize ML codebases to enhance reusability, maintainability, and performance. Collaborate with platform teams on compute capacity planning, resource allocation, and system upgrades. Integrate with existing model serving frameworks to support testing, deployment, and rollback processes. Monitor and troubleshoot production ML pipelines, ensuring high reliability, low latency, and cost efficiency. Contribute to internal ML platforms by sharing insights, proposing improvements, and documenting best practices. Build near real-time ML pipelines using Kafka and Spark Streaming. Work with AWS and SageMaker MLOps ecosystem. Requirements 6+ years of experience in software engineering, data engineering, or MLOps roles. Strong programming expertise in Python, with hands-on experience in Pandas, PySpark, and PyArrow. Deep understanding of the Hadoop ecosystem, distributed computing, and performance tuning. Experience with CI/CD pipelines and best practices in ML environments. Hands-on experience with monitoring tools for ML pipeline health and performance. Strong collaboration skills with experience working in cross-functional teams (platform, data science, engineering). Experience contributing to or building internal MLOps frameworks/platforms. Familiarity with SLURM clusters or other distributed job schedulers. Exposure to Kafka, Spark Streaming, or other real-time data processing technologies. Understanding of ML lifecycle management, including versioning, deployment, and drift detection. - KB1 Ref: Pittsburgh
Job Description Job Description Who are We? Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Learn more at . About the Job At FieldAI , we're building autonomy for robots that operate in the real world, in harsh environments, and under challenging conditions where traditional sensing breaks down. We're looking for a Robotics Autonomy Engineer - Perception to own and advance perception capabilities for our federal autonomy programs. In this role, you will lead development of the perception stack for robots operating in unstructured terrains, taking responsibility for performance, robustness, and deployment on new platforms and sensor configurations. You'll work hands-on across software and hardware for integrating LiDAR, RADAR and multispectral, and sensing into production autonomy systems and delivering capabilities that directly support customers. What You Will Do 1. Build and Maintain Perception Systems Design, implement, and maintain perception systems for autonomous robots operating in real-world environments. Develop robust localization and mapping capabilities that perform reliably in unstructured, off-road, and field conditions. Continuously evaluate and improve perception performance through testing, iteration, and field validation. 2. Develop and Integrate Sensor-Based Perception Implement perception algorithms that fuse data from multiple sensors such as LiDAR, cameras, RADAR and inertial sensors. Support the integration of new sensing modalities and sensor configurations as robotic platforms evolve. Ensure perception software operates reliably across simulation and real-world deployments. 3. Deploy Perception Software on Real Robots Bring perception algorithms from development to deployment on physical robotic systems. Debug and resolve issues discovered during on-robot testing and field operations. Collaborate with autonomy, controls, and platform teams to ensure perception systems integrate cleanly into the full autonomy stack. 4. Improve System Robustness and Scalability Contribute to code quality, testing, and long-term maintainability of perception systems. Develop tools, metrics, and tests to monitor performance and catch regressions over time. Help scale perception solutions across multiple robots, environments, and missions. 5. Collaborate Across Teams Work closely with engineers, researchers, and operators to define perception requirements and deliver reliable solutions. Communicate technical designs, tradeoffs, and results clearly to both technical and non-technical stakeholders. Support field operations and customer demonstrations by ensuring perception systems are production-ready. What You Have PhD degree in Robotics, Computer Science, Electrical Engineering, or a related field or MS degree in a related field with 2+ years of industry or applied research experience, or BS degree in a related field with 4+ years of relevant experience. Strong background in robot perception, localization, and mapping (SLAM) for real-world robotic systems. Hands-on experience developing and deploying perception software in field robotics environments (not just simulation). Proficiency in modern robotics software development (C++, Python) and ROS/ROS2 based systems. Experience working with robot perception and state estimation (VIO, LIO, mapping, sensor fusion etc.). Ability to take ownership of complex subsystems, from design through field deployment and long-term maintenance. Comfort working close to hardware, including debugging sensor data, calibration, and real-world failures. Strong problem-solving skills and ability to operate independently in fast-moving, small teams. The Extras That Set You Apart Experience with thermal, LWIR, or multispectral passive sensing for robotic perception. Experience integrating and calibrating custom sensor rigs (e.g., stereo, thermal, or multi-LiDAR setups). Familiarity with CI/CD pipelines, performance regression testing, and benchmarking for perception systems. Experience aligning or unifying perception stacks across multiple platforms or product lines. Demonstrated leadership in research, field operations, or mentoring junior engineers and researchers. Knowledge of containerization (Docker, Kubernetes) and modern DevOps practices. Compensation The salary range for this role is $100,000-$200,000. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time. Field AI Onsite Work Philosophy At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Irvine, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance. Why Join Field AI? We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We are dedicated to fostering a diverse and inclusive workplace and encourage applicants from all backgrounds to apply. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
09/17/2026
Full time
Job Description Job Description Who are We? Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Learn more at . About the Job At FieldAI , we're building autonomy for robots that operate in the real world, in harsh environments, and under challenging conditions where traditional sensing breaks down. We're looking for a Robotics Autonomy Engineer - Perception to own and advance perception capabilities for our federal autonomy programs. In this role, you will lead development of the perception stack for robots operating in unstructured terrains, taking responsibility for performance, robustness, and deployment on new platforms and sensor configurations. You'll work hands-on across software and hardware for integrating LiDAR, RADAR and multispectral, and sensing into production autonomy systems and delivering capabilities that directly support customers. What You Will Do 1. Build and Maintain Perception Systems Design, implement, and maintain perception systems for autonomous robots operating in real-world environments. Develop robust localization and mapping capabilities that perform reliably in unstructured, off-road, and field conditions. Continuously evaluate and improve perception performance through testing, iteration, and field validation. 2. Develop and Integrate Sensor-Based Perception Implement perception algorithms that fuse data from multiple sensors such as LiDAR, cameras, RADAR and inertial sensors. Support the integration of new sensing modalities and sensor configurations as robotic platforms evolve. Ensure perception software operates reliably across simulation and real-world deployments. 3. Deploy Perception Software on Real Robots Bring perception algorithms from development to deployment on physical robotic systems. Debug and resolve issues discovered during on-robot testing and field operations. Collaborate with autonomy, controls, and platform teams to ensure perception systems integrate cleanly into the full autonomy stack. 4. Improve System Robustness and Scalability Contribute to code quality, testing, and long-term maintainability of perception systems. Develop tools, metrics, and tests to monitor performance and catch regressions over time. Help scale perception solutions across multiple robots, environments, and missions. 5. Collaborate Across Teams Work closely with engineers, researchers, and operators to define perception requirements and deliver reliable solutions. Communicate technical designs, tradeoffs, and results clearly to both technical and non-technical stakeholders. Support field operations and customer demonstrations by ensuring perception systems are production-ready. What You Have PhD degree in Robotics, Computer Science, Electrical Engineering, or a related field or MS degree in a related field with 2+ years of industry or applied research experience, or BS degree in a related field with 4+ years of relevant experience. Strong background in robot perception, localization, and mapping (SLAM) for real-world robotic systems. Hands-on experience developing and deploying perception software in field robotics environments (not just simulation). Proficiency in modern robotics software development (C++, Python) and ROS/ROS2 based systems. Experience working with robot perception and state estimation (VIO, LIO, mapping, sensor fusion etc.). Ability to take ownership of complex subsystems, from design through field deployment and long-term maintenance. Comfort working close to hardware, including debugging sensor data, calibration, and real-world failures. Strong problem-solving skills and ability to operate independently in fast-moving, small teams. The Extras That Set You Apart Experience with thermal, LWIR, or multispectral passive sensing for robotic perception. Experience integrating and calibrating custom sensor rigs (e.g., stereo, thermal, or multi-LiDAR setups). Familiarity with CI/CD pipelines, performance regression testing, and benchmarking for perception systems. Experience aligning or unifying perception stacks across multiple platforms or product lines. Demonstrated leadership in research, field operations, or mentoring junior engineers and researchers. Knowledge of containerization (Docker, Kubernetes) and modern DevOps practices. Compensation The salary range for this role is $100,000-$200,000. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time. Field AI Onsite Work Philosophy At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Irvine, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance. Why Join Field AI? We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We are dedicated to fostering a diverse and inclusive workplace and encourage applicants from all backgrounds to apply. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Jamul Indian Village Development Corpora
Jamul, California
Job Description Job Description ESSENTIAL DUTIES AND RESPONSIBILITIES The following and other duties may be assigned as necessary: Provide friendly, fast, and helpful customer service to all guests and team members. Responsible for audio and visual programming, implementation, and troubleshooting for the properties to include but not limited to video wall displays, and property televisions. Set up AV equipment for entertainment events and work with the band members to load, setup and remove equipment. Assist in keeping track of inventory of AV equipment. Make sure that the property displays are always in good working condition. Present oneself as a credit to company and encourages others to do the same. Must adhere to regulatory, department and company policies. Perform all job duties in a safe and responsible manner. Performs other job related and compatible duties as assigned. Teamwork - ability to work collaboratively with other departments and leaders to complete property/corporate initiatives and effective day to day operations. Preventative maintenance on property AV equipment including but not limited to TV's, Projectors, Tablets, Touchscreens, & LED Walls. QUALIFICATION REQUIREMENTS To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Must be at least 21 years of age. High school diploma or equivalent. Up to two (2) years of audio/visual related experience and/or an equivalent combination of education and experience is required. Hands on experience with mixing live bands using digital and analog consoles. Hands on experience with mixing In Ear-monitor systems for bands from FOH. Hands on experience with Conference system set up (Zoom/Teams connection). Prior casino and entertainment experience is a plus. Working knowledge or education equivalent to basic computer science A+ and Networking. Must be proficient with cabling, installation and termination. Knowledge on RF systems. Working knowledge on digital signage systems (Wallboard/Bright sign/Telemetry) Video engineering related experience and/or equivalent combination of education and experience. Basic knowledge of show lighting controls and software. (Qlab, Resolume, ETC controllers,ION) Proven ability to learn and adapt to new technologies and programs as they become available. LANGUAGE SKILLS Ability to read and interpret documents In English, such as safety rules, operating and maintenance instructions and procedure manuals. Ability to read and communicate verbally in English. Written communication skills in in English may also be required. REASONING ABILITY Ability to apply commonsense understanding to carry out instructions furnished in written, oral, or diagram form. Ability to deal with problems involving several concrete variables in standardized situations. CERTIFICATES, LICENSES, REGISTRATIONS Employee must be able to qualify for licenses and permits required by federal, state and local regulations. PHYSICAL DEMANDS The physical demands described here represent those that must be met by a team member to perform the essential functions of this job successfully. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the team member is regularly required to stand and use hands to finger, handle, or feel objects, tools, or controls. The team member frequently is required to reach with hands and arms and talk or hear. Specific vision abilities required by this job include close vision, color vision, and peripheral vision. The team member must regularly lift and/or move up to 25 pounds, frequently lift and/or move up to 50 pounds, and occasionally lift and/or move up to 75 pounds, and must have the ability to push, pull, reach, bend, twist, stoop, stack, crouch, kneel and balance when performing job duties in varying work areas such as confined spaces. WORK ENVIRONMENT The work environment characteristics described here represent what a team member encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually very loud. Team member will be exposed to an environment containing unrestricted secondhand tobacco smoke.
09/17/2026
Full time
Job Description Job Description ESSENTIAL DUTIES AND RESPONSIBILITIES The following and other duties may be assigned as necessary: Provide friendly, fast, and helpful customer service to all guests and team members. Responsible for audio and visual programming, implementation, and troubleshooting for the properties to include but not limited to video wall displays, and property televisions. Set up AV equipment for entertainment events and work with the band members to load, setup and remove equipment. Assist in keeping track of inventory of AV equipment. Make sure that the property displays are always in good working condition. Present oneself as a credit to company and encourages others to do the same. Must adhere to regulatory, department and company policies. Perform all job duties in a safe and responsible manner. Performs other job related and compatible duties as assigned. Teamwork - ability to work collaboratively with other departments and leaders to complete property/corporate initiatives and effective day to day operations. Preventative maintenance on property AV equipment including but not limited to TV's, Projectors, Tablets, Touchscreens, & LED Walls. QUALIFICATION REQUIREMENTS To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Must be at least 21 years of age. High school diploma or equivalent. Up to two (2) years of audio/visual related experience and/or an equivalent combination of education and experience is required. Hands on experience with mixing live bands using digital and analog consoles. Hands on experience with mixing In Ear-monitor systems for bands from FOH. Hands on experience with Conference system set up (Zoom/Teams connection). Prior casino and entertainment experience is a plus. Working knowledge or education equivalent to basic computer science A+ and Networking. Must be proficient with cabling, installation and termination. Knowledge on RF systems. Working knowledge on digital signage systems (Wallboard/Bright sign/Telemetry) Video engineering related experience and/or equivalent combination of education and experience. Basic knowledge of show lighting controls and software. (Qlab, Resolume, ETC controllers,ION) Proven ability to learn and adapt to new technologies and programs as they become available. LANGUAGE SKILLS Ability to read and interpret documents In English, such as safety rules, operating and maintenance instructions and procedure manuals. Ability to read and communicate verbally in English. Written communication skills in in English may also be required. REASONING ABILITY Ability to apply commonsense understanding to carry out instructions furnished in written, oral, or diagram form. Ability to deal with problems involving several concrete variables in standardized situations. CERTIFICATES, LICENSES, REGISTRATIONS Employee must be able to qualify for licenses and permits required by federal, state and local regulations. PHYSICAL DEMANDS The physical demands described here represent those that must be met by a team member to perform the essential functions of this job successfully. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the team member is regularly required to stand and use hands to finger, handle, or feel objects, tools, or controls. The team member frequently is required to reach with hands and arms and talk or hear. Specific vision abilities required by this job include close vision, color vision, and peripheral vision. The team member must regularly lift and/or move up to 25 pounds, frequently lift and/or move up to 50 pounds, and occasionally lift and/or move up to 75 pounds, and must have the ability to push, pull, reach, bend, twist, stoop, stack, crouch, kneel and balance when performing job duties in varying work areas such as confined spaces. WORK ENVIRONMENT The work environment characteristics described here represent what a team member encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually very loud. Team member will be exposed to an environment containing unrestricted secondhand tobacco smoke.
Job Description Job Description TRL11 is a venture backed deep tech / defence tech startup bringing cutting-edge video technology to Aerospace applications. Based in Irvine, CA, we are seeking highly passionate, skilled and experienced Algorithms/Video Engineers with a focus on cutting edge video processing technology, to join our team. You will be responsible for the design, development, and implementation of advanced computer vision and video processing pipelines to support our patent pending Space Aware Video Software Suite. Join our team and play a crucial role in shaping the future of Human Space Exploration and US National Security. Location: Irvine, CA (in-person position) Responsibilities : Develop and implement computer vision algorithms on embedded systems, used for identifying, tracking and classifying anomalies, trends, and intent of airborne and ground based objects using high speed cameras. Design and optimize AI/ML models for deployment on resource-constrained embedded platforms, considering factors such as memory, processing power, and energy efficiency. Participate in the entire software development lifecycle, from requirements gathering and system design to testing, deployment, and maintenance. Perform algorithm evaluation and optimization to ensure efficient and accurate real-time performance of high frame rate machine vision systems. Stay up to date with the latest advancements in AI, machine learning, and computer vision, evaluate and propose innovative solutions to enhance our product offerings. Document and communicate technical concepts, algorithms, and implementation details effectively to team members and stakeholders. Experience debugging with video processing pipelines would be nice Mentor junior team members, providing guidance and technical expertise to foster their professional growth. Requirements Bachelor's or higher degree in Computer Science, Data Science, Electrical Engineering, Physics or related field. Strong programming skills in C/C++, Python required, with experience in embedded software development a plus. Solid understanding of AI/ML techniques, deep learning frameworks, and computer vision. Experience with hardware-software integration and optimization for embedded systems, including GPU acceleration, FPGA implementation, multi-core parallel processing. Experience working with video processing pipelines and workflows. Proficiency in working with popular embedded platforms, such as ARM-based SoCs and microcontrollers. Familiarity with basic image processing techniques, camera systems, and sensor integration. Knowledge of real-time operating systems (RTOS) and software development for embedded systems. Excellent problem-solving skills and the ability to work independently as well as in a team environment. Strong communication skills to effectively convey complex technical concepts and collaborate with cross-functional teams. Nice to Have: US Citizenship / Green Card Benefits Fast paced, energetic startup culture, where you'll learn a lot, have great impact, and have fun doing it Base salary $80- $150k, depending on experience Bonus, 401k, Health Care Plan (Medical, Dental, Vision) Unlimited Paid Time Off (with prior approval), for Vacation, Sick & Public Holidays, Maternity, Paternity Possible Stock Option Plan participation, based on performance and tenure.
09/17/2026
Full time
Job Description Job Description TRL11 is a venture backed deep tech / defence tech startup bringing cutting-edge video technology to Aerospace applications. Based in Irvine, CA, we are seeking highly passionate, skilled and experienced Algorithms/Video Engineers with a focus on cutting edge video processing technology, to join our team. You will be responsible for the design, development, and implementation of advanced computer vision and video processing pipelines to support our patent pending Space Aware Video Software Suite. Join our team and play a crucial role in shaping the future of Human Space Exploration and US National Security. Location: Irvine, CA (in-person position) Responsibilities : Develop and implement computer vision algorithms on embedded systems, used for identifying, tracking and classifying anomalies, trends, and intent of airborne and ground based objects using high speed cameras. Design and optimize AI/ML models for deployment on resource-constrained embedded platforms, considering factors such as memory, processing power, and energy efficiency. Participate in the entire software development lifecycle, from requirements gathering and system design to testing, deployment, and maintenance. Perform algorithm evaluation and optimization to ensure efficient and accurate real-time performance of high frame rate machine vision systems. Stay up to date with the latest advancements in AI, machine learning, and computer vision, evaluate and propose innovative solutions to enhance our product offerings. Document and communicate technical concepts, algorithms, and implementation details effectively to team members and stakeholders. Experience debugging with video processing pipelines would be nice Mentor junior team members, providing guidance and technical expertise to foster their professional growth. Requirements Bachelor's or higher degree in Computer Science, Data Science, Electrical Engineering, Physics or related field. Strong programming skills in C/C++, Python required, with experience in embedded software development a plus. Solid understanding of AI/ML techniques, deep learning frameworks, and computer vision. Experience with hardware-software integration and optimization for embedded systems, including GPU acceleration, FPGA implementation, multi-core parallel processing. Experience working with video processing pipelines and workflows. Proficiency in working with popular embedded platforms, such as ARM-based SoCs and microcontrollers. Familiarity with basic image processing techniques, camera systems, and sensor integration. Knowledge of real-time operating systems (RTOS) and software development for embedded systems. Excellent problem-solving skills and the ability to work independently as well as in a team environment. Strong communication skills to effectively convey complex technical concepts and collaborate with cross-functional teams. Nice to Have: US Citizenship / Green Card Benefits Fast paced, energetic startup culture, where you'll learn a lot, have great impact, and have fun doing it Base salary $80- $150k, depending on experience Bonus, 401k, Health Care Plan (Medical, Dental, Vision) Unlimited Paid Time Off (with prior approval), for Vacation, Sick & Public Holidays, Maternity, Paternity Possible Stock Option Plan participation, based on performance and tenure.
Job Description Job Description Senior Data Analyst Req ID 003-25 v1.0 HazeGrayCyber, LLC is focused on delivering Cyber Security and Zero Trust Solutions to the US National Defense community and our allies and partners. This position will provide Information and Task Management Support to MCICOM, G-9, and the Marine Corps. Location: Performance will take place at both the Government's facility and the contractor's facility. Travel will be required to conduct on-site IA tasks at Marine Corps Regions/Installations Responsibilities: High-level problem solver who uses advanced techniques, such as optimization, data mining, statistical analysis and mathematical modeling; develop solutions to help organizations operate more efficiently and cost-effectively. Perform analysis applying appropriate scientific processes and modeling techniques; conduct research initiatives and contribute to data analysis initiatives; apply operations research methodology to various forms of analyses; present information into meaningful reports and presentation material; interprets information that may assist management with decision making and/or policy formulation. Specifically - working in partnership with a Senior Data Scientist and Senior Data Analyst. Collect and normalize data, analyze, and present results of enterprise to individual real property assets or MCICOM Marine Corps programs within the installations portfolios and functions, and provide programmatic, cost, budget, schedule, and technical requirements utilizing descriptive methods, tools, and supporting visualizations. Use analytic tools to combine, analyze, and interpret very large and complex datasets to perform exploratory analyses and develop data-informed organizational solutions. Design, develop, enhance, and support new and existing dashboards and visualizations using the following tools, but not limited to PowerPoint, Tableau, Python, or R to support planning, programming, budget, and execution decisions. Conduct predictive analysis and refine/update models to forecast future infrastructure and installation services requirements and resources to support the Marine Corps Future Force, tenant requirements, and families. Use of operations research techniques and methods, machine learning models, and other predictive analytics tools to identify trends, patterns, and potential future outcomes. Refine the predictive infrastructure model that focuses on lifecycle management including incorporating known funding levels, known facility investment plans (supportive of military construction (both new mission/footprint and recapitalization), restoration and modernization, sustainment, and demolition requirements) and incorporating the Marine Corps' Facility Investment Strategy (FIS). Provide recommendations of optimal investment strategies to support the infrastructure and installation services portfolios. This analysis will include optimization models implementing known or projected investment goals, scenario planning, and the integration of various budgets, real property, and input data (to include but not limited to inflation, metrics, and factors) to support actionable investment recommendations over the Future Years Defense Program (FYDP). Deploy descriptive, predictive and prescriptive infrastructure model into government environment and develop training materials and train government personnel at the Regions/ Installations for use. The following steps outline a Full Enterprise, Readiness Model that meets Full Operational Capability (FOC) to include using advanced analytic software or leverage a Large Language Model (LLM). Build prescriptive infrastructure model in the Government (OSD Advana) Cloud Environment Required Education and Experience 10+ years of experience and BA/BS degree in data science, computer science, engineering, mathematics, operations research or another technical field of study or 5+ years of experience and MA/MS degree in data science, computer science, engineering, mathematics, operations research or another technical field of study Desired Education and Experience 20+ years of specialized experience and a BA/MS degree in data science, computer science, engineering, mathematics, operations research or another technical field of study with expert knowledge of databases, data modeling, and SQL PhD in Operations Research Desired Certifications International Cost Estimating & Analysis Association (ICEAA) Certification Security US Citizenship Required Ability to obtain and maintain a Government Secret Security Clearance Overseas Performance Requirements Overseas performance and/or travel may be required in Japan, Korea, and/or Guam. NOTE: SPOT requirements will require the use of SPOT for approving SOFA status. HazeGrayCyber, LLC is an Equal Opportunity Employer with a strong commitment to supporting and retaining a diverse and talented workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. HazeGrayCyber, LLC offers competitive compensation and benefits as well as great long-term career opportunities. For more information or to apply, visit our website at
09/17/2026
Full time
Job Description Job Description Senior Data Analyst Req ID 003-25 v1.0 HazeGrayCyber, LLC is focused on delivering Cyber Security and Zero Trust Solutions to the US National Defense community and our allies and partners. This position will provide Information and Task Management Support to MCICOM, G-9, and the Marine Corps. Location: Performance will take place at both the Government's facility and the contractor's facility. Travel will be required to conduct on-site IA tasks at Marine Corps Regions/Installations Responsibilities: High-level problem solver who uses advanced techniques, such as optimization, data mining, statistical analysis and mathematical modeling; develop solutions to help organizations operate more efficiently and cost-effectively. Perform analysis applying appropriate scientific processes and modeling techniques; conduct research initiatives and contribute to data analysis initiatives; apply operations research methodology to various forms of analyses; present information into meaningful reports and presentation material; interprets information that may assist management with decision making and/or policy formulation. Specifically - working in partnership with a Senior Data Scientist and Senior Data Analyst. Collect and normalize data, analyze, and present results of enterprise to individual real property assets or MCICOM Marine Corps programs within the installations portfolios and functions, and provide programmatic, cost, budget, schedule, and technical requirements utilizing descriptive methods, tools, and supporting visualizations. Use analytic tools to combine, analyze, and interpret very large and complex datasets to perform exploratory analyses and develop data-informed organizational solutions. Design, develop, enhance, and support new and existing dashboards and visualizations using the following tools, but not limited to PowerPoint, Tableau, Python, or R to support planning, programming, budget, and execution decisions. Conduct predictive analysis and refine/update models to forecast future infrastructure and installation services requirements and resources to support the Marine Corps Future Force, tenant requirements, and families. Use of operations research techniques and methods, machine learning models, and other predictive analytics tools to identify trends, patterns, and potential future outcomes. Refine the predictive infrastructure model that focuses on lifecycle management including incorporating known funding levels, known facility investment plans (supportive of military construction (both new mission/footprint and recapitalization), restoration and modernization, sustainment, and demolition requirements) and incorporating the Marine Corps' Facility Investment Strategy (FIS). Provide recommendations of optimal investment strategies to support the infrastructure and installation services portfolios. This analysis will include optimization models implementing known or projected investment goals, scenario planning, and the integration of various budgets, real property, and input data (to include but not limited to inflation, metrics, and factors) to support actionable investment recommendations over the Future Years Defense Program (FYDP). Deploy descriptive, predictive and prescriptive infrastructure model into government environment and develop training materials and train government personnel at the Regions/ Installations for use. The following steps outline a Full Enterprise, Readiness Model that meets Full Operational Capability (FOC) to include using advanced analytic software or leverage a Large Language Model (LLM). Build prescriptive infrastructure model in the Government (OSD Advana) Cloud Environment Required Education and Experience 10+ years of experience and BA/BS degree in data science, computer science, engineering, mathematics, operations research or another technical field of study or 5+ years of experience and MA/MS degree in data science, computer science, engineering, mathematics, operations research or another technical field of study Desired Education and Experience 20+ years of specialized experience and a BA/MS degree in data science, computer science, engineering, mathematics, operations research or another technical field of study with expert knowledge of databases, data modeling, and SQL PhD in Operations Research Desired Certifications International Cost Estimating & Analysis Association (ICEAA) Certification Security US Citizenship Required Ability to obtain and maintain a Government Secret Security Clearance Overseas Performance Requirements Overseas performance and/or travel may be required in Japan, Korea, and/or Guam. NOTE: SPOT requirements will require the use of SPOT for approving SOFA status. HazeGrayCyber, LLC is an Equal Opportunity Employer with a strong commitment to supporting and retaining a diverse and talented workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. HazeGrayCyber, LLC offers competitive compensation and benefits as well as great long-term career opportunities. For more information or to apply, visit our website at
Job Description Job Description Business Technology Integrators (BTI) is a Service-Disabled Veteran-Owned Small Business (SDVOSB) with more than 25 years of experience delivering innovative and reliable IT and engineering solutions to the Federal Government. BTI supports mission-critical programs across defense and civilian agencies, with core expertise in cybersecurity, program management, enterprise IT, and technical oversight services. Position Overview The Senior AV/VTC Specialist will provide expert-level audiovisual, video teleconferencing, multimedia production, and collaboration technology support for the EEOC. This position supports the EEOC's Washington, DC headquarters and its 53 field offices nationwide. The specialist will configure, operate, maintain, troubleshoot, and optimize audiovisual and multimedia systems used for meetings, conferences, presentations, live productions, recorded content, and virtual collaboration. The successful candidate must have extensive experience supporting a large, geographically dispersed organization and possess advanced technical knowledge of AV/VTC platforms, production equipment, digital signal processing, control systems, and multimedia technologies. Key Responsibilities Provide senior-level operational and technical support for AV/VTC systems across the EEOC's headquarters and 53 nationwide field offices. Configure, operate, maintain, test, and troubleshoot audiovisual, video teleconferencing, and multimedia production equipment. Support video teleconferencing and collaboration platforms, including Microsoft Teams, Zoom, Poly RealPresence, and Cisco technologies. Provide technical support for virtual, hybrid, and in-person meetings, conferences, executive briefings, presentations, and special events. Perform pre-event system checks and validate audio, video, network connectivity, displays, cameras, microphones, and conferencing equipment. Monitor live meetings and events, quickly identifying and resolving audio, video, connectivity, or equipment issues. Operate video switching, routing, projection, display, camera, lighting, recording, streaming, and audio systems. Perform professional camera operations, including camera setup, framing, positioning, focusing, and live production support. Provide video editing and post-production services for recorded meetings, training materials, presentations, and other multimedia content. Create and edit graphics, animations, motion graphics, titles, visual effects, and other digital media elements. Configure and operate audio mixing equipment, microphones, speakers, amplifiers, and related sound-reinforcement technologies. Configure, maintain, and troubleshoot digital signal processing systems used for audio and video environments. Support AV control systems used to manage conferencing, lighting, audio, displays, projection, and room automation. Install, configure, operate, and troubleshoot projection systems and LED display technologies. Diagnose complex AV/VTC equipment, software, connectivity, integration, and performance issues. Coordinate technical support with EEOC personnel, field offices, IT teams, vendors, and other stakeholders. Provide remote guidance and troubleshooting assistance to personnel located at EEOC field offices. Maintain accurate equipment configurations, operating procedures, system documentation, troubleshooting guides, and inventory records. Recommend improvements, upgrades, replacements, and technical solutions to improve AV/VTC reliability and performance. Ensure AV/VTC services and multimedia products are delivered professionally and consistently with EEOC standards and requirements. Required Education and Experience Ten (10) years of professional experience providing senior-level AV/VTC and multimedia support in an environment comparable in size and complexity to the EEOC. Demonstrated experience supporting a geographically dispersed organization, including an environment with approximately 53 nationwide field offices. A bachelor's degree in Audiovisual Technology, Information Technology, Communications, Multimedia Production, Broadcast Technology, or a related field is preferred. Relevant specialized training and extensive professional experience may also be considered. Required Skills and Qualifications Expert knowledge of audiovisual and multimedia production equipment. Advanced experience configuring, operating, maintaining, and troubleshooting AV/VTC systems. Strong operational experience with Microsoft Teams, Zoom, Poly RealPresence, and Cisco collaboration or conferencing technologies. Advanced video editing and post-production capabilities. Experience with video switching and live production workflows. Professional camera setup and operation experience. Experience in graphic design, animation, and motion-graphics development. Advanced knowledge of audio mixing and sound-reinforcement systems. Experience configuring and troubleshooting digital signal processing systems. Knowledge of AV control systems, projection systems, LED displays, and related room technologies. Ability to diagnose and resolve complex AV/VTC hardware, software, signal, connectivity, and integration problems. Ability to support multiple events, technical requests, and competing priorities in a fast-paced environment. Strong customer-service, organization, documentation, communication, and problem-solving skills. Ability to communicate technical information clearly to both technical and nontechnical users. Ability to work independently while coordinating effectively with EEOC personnel, field offices, vendors, and IT support teams. Preferred Certifications Relevant industry certifications are preferred but not required, including: AVIXA Certified Technology Specialist (CTS, CTS-I, or CTS-D) Microsoft Teams or Microsoft 365 certification Cisco collaboration certification Zoom platform certification Poly technical certification Dante audio networking certification Manufacturer-specific DSP or AV control-system certifications Powered by JazzHR yb8Lyve5cn
09/17/2026
Full time
Job Description Job Description Business Technology Integrators (BTI) is a Service-Disabled Veteran-Owned Small Business (SDVOSB) with more than 25 years of experience delivering innovative and reliable IT and engineering solutions to the Federal Government. BTI supports mission-critical programs across defense and civilian agencies, with core expertise in cybersecurity, program management, enterprise IT, and technical oversight services. Position Overview The Senior AV/VTC Specialist will provide expert-level audiovisual, video teleconferencing, multimedia production, and collaboration technology support for the EEOC. This position supports the EEOC's Washington, DC headquarters and its 53 field offices nationwide. The specialist will configure, operate, maintain, troubleshoot, and optimize audiovisual and multimedia systems used for meetings, conferences, presentations, live productions, recorded content, and virtual collaboration. The successful candidate must have extensive experience supporting a large, geographically dispersed organization and possess advanced technical knowledge of AV/VTC platforms, production equipment, digital signal processing, control systems, and multimedia technologies. Key Responsibilities Provide senior-level operational and technical support for AV/VTC systems across the EEOC's headquarters and 53 nationwide field offices. Configure, operate, maintain, test, and troubleshoot audiovisual, video teleconferencing, and multimedia production equipment. Support video teleconferencing and collaboration platforms, including Microsoft Teams, Zoom, Poly RealPresence, and Cisco technologies. Provide technical support for virtual, hybrid, and in-person meetings, conferences, executive briefings, presentations, and special events. Perform pre-event system checks and validate audio, video, network connectivity, displays, cameras, microphones, and conferencing equipment. Monitor live meetings and events, quickly identifying and resolving audio, video, connectivity, or equipment issues. Operate video switching, routing, projection, display, camera, lighting, recording, streaming, and audio systems. Perform professional camera operations, including camera setup, framing, positioning, focusing, and live production support. Provide video editing and post-production services for recorded meetings, training materials, presentations, and other multimedia content. Create and edit graphics, animations, motion graphics, titles, visual effects, and other digital media elements. Configure and operate audio mixing equipment, microphones, speakers, amplifiers, and related sound-reinforcement technologies. Configure, maintain, and troubleshoot digital signal processing systems used for audio and video environments. Support AV control systems used to manage conferencing, lighting, audio, displays, projection, and room automation. Install, configure, operate, and troubleshoot projection systems and LED display technologies. Diagnose complex AV/VTC equipment, software, connectivity, integration, and performance issues. Coordinate technical support with EEOC personnel, field offices, IT teams, vendors, and other stakeholders. Provide remote guidance and troubleshooting assistance to personnel located at EEOC field offices. Maintain accurate equipment configurations, operating procedures, system documentation, troubleshooting guides, and inventory records. Recommend improvements, upgrades, replacements, and technical solutions to improve AV/VTC reliability and performance. Ensure AV/VTC services and multimedia products are delivered professionally and consistently with EEOC standards and requirements. Required Education and Experience Ten (10) years of professional experience providing senior-level AV/VTC and multimedia support in an environment comparable in size and complexity to the EEOC. Demonstrated experience supporting a geographically dispersed organization, including an environment with approximately 53 nationwide field offices. A bachelor's degree in Audiovisual Technology, Information Technology, Communications, Multimedia Production, Broadcast Technology, or a related field is preferred. Relevant specialized training and extensive professional experience may also be considered. Required Skills and Qualifications Expert knowledge of audiovisual and multimedia production equipment. Advanced experience configuring, operating, maintaining, and troubleshooting AV/VTC systems. Strong operational experience with Microsoft Teams, Zoom, Poly RealPresence, and Cisco collaboration or conferencing technologies. Advanced video editing and post-production capabilities. Experience with video switching and live production workflows. Professional camera setup and operation experience. Experience in graphic design, animation, and motion-graphics development. Advanced knowledge of audio mixing and sound-reinforcement systems. Experience configuring and troubleshooting digital signal processing systems. Knowledge of AV control systems, projection systems, LED displays, and related room technologies. Ability to diagnose and resolve complex AV/VTC hardware, software, signal, connectivity, and integration problems. Ability to support multiple events, technical requests, and competing priorities in a fast-paced environment. Strong customer-service, organization, documentation, communication, and problem-solving skills. Ability to communicate technical information clearly to both technical and nontechnical users. Ability to work independently while coordinating effectively with EEOC personnel, field offices, vendors, and IT support teams. Preferred Certifications Relevant industry certifications are preferred but not required, including: AVIXA Certified Technology Specialist (CTS, CTS-I, or CTS-D) Microsoft Teams or Microsoft 365 certification Cisco collaboration certification Zoom platform certification Poly technical certification Dante audio networking certification Manufacturer-specific DSP or AV control-system certifications Powered by JazzHR yb8Lyve5cn
Job Description Job Description Job Description ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED Are you a powerhouse data scientist who thrives on solving large-scale operational challenges? Bring your 10+ years of advanced expertise to architect predictive models, run complex simulations, and drive multi-objective decision frameworks using Pandas, R, Python, or MATLAB. Translate intricate machine learning and statistical data analytics into clear strategic narratives for high-level stakeholders! In this role, you will lead the charge in defining complex problems, gathering critical stakeholder requirements, and applying advanced mathematical techniques to guide critical decision-making. If you are ready to transform large-scale operational challenges into optimized mission solutions alongside a team that values engineering excellence, let's achieve more together! The annual base salary range for this role is $200,000-$237,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things. , Required Skills Core Experience: 10+ years of professional experience analyzing complex management and operational problems using advanced operations research techniques. Modeling Simulation: 4+ years of hands-on experience applying modeling and simulation frameworks to address high-level decision analysis problems. Strategic Analysis: 4+ years of experience conducting multi-objective decision analysis or cost-benefit analysis in direct support of research objectives. Data Toolset Toolkits: 4+ years of deep expertise using tools and libraries such as Pandas, R, Excel/VBA, Arena, Octave, Tableau, Gurobi, CPLEX, ExtendSim, SAS, Netica, Statsmodels, Stata, MATLAB, or SPSS. Stakeholder Engagement: Proven experience conducting problem definitions and gathering detailed data requirements directly from stakeholders. Communication: Outstanding oral and written communication skills with a track record of explaining intricate data analysis to non-technical stakeholders. Education: 10 years of experience with a technical bachelor's degree, 14+ years of experience without a techncial bachelor's degree. , Desired Skills Model Validation: Experience developing and performing rigorous verification and validation (VV) of models to ensure adequacy and performance. Knowledge Sharing: Experience developing and delivering comprehensive training materials for operations research techniques. Executive Briefing: Experience briefing high-level results and preparing thorough written reports on analytic approaches and methodologies. Emerging Tech: Familiarity or experience with machine learning and large language models (LLMs) to solve complex enterprise problems. , About Nyla Technology Solutions Nyla Technology Solutions delivers exceptional Artificial Intelligence (AI), Data Science, and Software Engineering services for the U.S. Government. Nyla embraces a forward-thinking and bold approach at every turn, earning us a solid reputation of technical trendsetters within the industry. We have a passion for developing solutions that have a quick and immediate impact on mission. Headquartered in Columbia, Maryland, our customers love how we tackle their most challenging problems and get things done. If you have the unique experience and expertise we are seeking, along with the desire and determination to invest your time and energy as a part of Nyla's team, Taking Care of All of You Nyla provides a top-of-market compensation and benefits package. And through our unique Nyla FLEX program, we custom tailor these benefits to best fit your lifestyle. The Nyla FLEX benefit program is designed to offer you flexibility in the 3 biggest areas of your life: your pay, your leave, and your schedule. PAY - Nyla starts with 4 weeks of Annual Leave plus 11 holidays and an additional day of Annual Leave for each year you're at the company. You have the flexibility to cash out your annual leave hours, opt out of other Nyla benefits, and/or arrange for additional hours on contract (over 40 hrs/week). There's even an option to earn 1.3 times your hourly rate once you work over 1880 hours on contract! LEAVE - Want to spend more time with the family? Want more time to travel the world? You can BUY additional annual leave for a total of 6 weeks of annual leave. That's up to 240 hours of leave plus 11 holidays! That's not even including paid anniversary leave! SCHEDULE - Does the traditional 40-hour workweek no longer fit your lifestyle? With Nyla FLEX, you have the freedom to scale down to 30-32 hours while still enjoying the top-notch Nyla benefits you know and love. It's flexibility that works for you without compromising the perks! WHAT ABOUT OTHER BENEFITS? Nyla's health care (medical, dental, and vision) is 100% covered by the company. We provide 10% 401k matching - with full vesting day 1! Our Professional Development offers $5,000 per year to be used towards fees, tuition, or time off for your continued growth. We even have a student loan repayment program and we provide 8 hours of volunteering annually so you can support your community, making your world a better place. To learn more about Nyla's culture and our exceptional benefit packages click here. Nyla is an equal opportunity employer.
09/17/2026
Full time
Job Description Job Description Job Description ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED Are you a powerhouse data scientist who thrives on solving large-scale operational challenges? Bring your 10+ years of advanced expertise to architect predictive models, run complex simulations, and drive multi-objective decision frameworks using Pandas, R, Python, or MATLAB. Translate intricate machine learning and statistical data analytics into clear strategic narratives for high-level stakeholders! In this role, you will lead the charge in defining complex problems, gathering critical stakeholder requirements, and applying advanced mathematical techniques to guide critical decision-making. If you are ready to transform large-scale operational challenges into optimized mission solutions alongside a team that values engineering excellence, let's achieve more together! The annual base salary range for this role is $200,000-$237,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things. , Required Skills Core Experience: 10+ years of professional experience analyzing complex management and operational problems using advanced operations research techniques. Modeling Simulation: 4+ years of hands-on experience applying modeling and simulation frameworks to address high-level decision analysis problems. Strategic Analysis: 4+ years of experience conducting multi-objective decision analysis or cost-benefit analysis in direct support of research objectives. Data Toolset Toolkits: 4+ years of deep expertise using tools and libraries such as Pandas, R, Excel/VBA, Arena, Octave, Tableau, Gurobi, CPLEX, ExtendSim, SAS, Netica, Statsmodels, Stata, MATLAB, or SPSS. Stakeholder Engagement: Proven experience conducting problem definitions and gathering detailed data requirements directly from stakeholders. Communication: Outstanding oral and written communication skills with a track record of explaining intricate data analysis to non-technical stakeholders. Education: 10 years of experience with a technical bachelor's degree, 14+ years of experience without a techncial bachelor's degree. , Desired Skills Model Validation: Experience developing and performing rigorous verification and validation (VV) of models to ensure adequacy and performance. Knowledge Sharing: Experience developing and delivering comprehensive training materials for operations research techniques. Executive Briefing: Experience briefing high-level results and preparing thorough written reports on analytic approaches and methodologies. Emerging Tech: Familiarity or experience with machine learning and large language models (LLMs) to solve complex enterprise problems. , About Nyla Technology Solutions Nyla Technology Solutions delivers exceptional Artificial Intelligence (AI), Data Science, and Software Engineering services for the U.S. Government. Nyla embraces a forward-thinking and bold approach at every turn, earning us a solid reputation of technical trendsetters within the industry. We have a passion for developing solutions that have a quick and immediate impact on mission. Headquartered in Columbia, Maryland, our customers love how we tackle their most challenging problems and get things done. If you have the unique experience and expertise we are seeking, along with the desire and determination to invest your time and energy as a part of Nyla's team, Taking Care of All of You Nyla provides a top-of-market compensation and benefits package. And through our unique Nyla FLEX program, we custom tailor these benefits to best fit your lifestyle. The Nyla FLEX benefit program is designed to offer you flexibility in the 3 biggest areas of your life: your pay, your leave, and your schedule. PAY - Nyla starts with 4 weeks of Annual Leave plus 11 holidays and an additional day of Annual Leave for each year you're at the company. You have the flexibility to cash out your annual leave hours, opt out of other Nyla benefits, and/or arrange for additional hours on contract (over 40 hrs/week). There's even an option to earn 1.3 times your hourly rate once you work over 1880 hours on contract! LEAVE - Want to spend more time with the family? Want more time to travel the world? You can BUY additional annual leave for a total of 6 weeks of annual leave. That's up to 240 hours of leave plus 11 holidays! That's not even including paid anniversary leave! SCHEDULE - Does the traditional 40-hour workweek no longer fit your lifestyle? With Nyla FLEX, you have the freedom to scale down to 30-32 hours while still enjoying the top-notch Nyla benefits you know and love. It's flexibility that works for you without compromising the perks! WHAT ABOUT OTHER BENEFITS? Nyla's health care (medical, dental, and vision) is 100% covered by the company. We provide 10% 401k matching - with full vesting day 1! Our Professional Development offers $5,000 per year to be used towards fees, tuition, or time off for your continued growth. We even have a student loan repayment program and we provide 8 hours of volunteering annually so you can support your community, making your world a better place. To learn more about Nyla's culture and our exceptional benefit packages click here. Nyla is an equal opportunity employer.
Job Description Job Description GENERAL FUNCTION : As a Broadcast Engineer, you will be responsible for providing technical support and maintenance for our SMPTE 2110 master control rooms and studio operations, and ensuring the seamless operation of our broadcast systems. Your expertise in IP-based video technologies and knowledge of broadcast technologies will be crucial in delivering high-quality audio and video content to our audience. RESPONSIBILITIES: Provides technical support and maintenance for the master control rooms, ensuring uninterrupted broadcasting operations. Monitors and troubleshoots audio and video signals, equipment and systems to maintain optimal performance and resolve issues. Collaborates with production teams to ensure smooth execution of live broadcasts, including setting up and operating studio equipment such as cameras, microphones and lighting. Implements and adheres to IP-based video technologies (SMPTE2110/NDI) standards for audio and video over IP networks, ensuring compatibility and interoperability of broadcast systems. Assists in installing, configuring and maintaining broadcast equipment, including routers, switchers, servers and related hardware and software. Responsible for managing and supporting transmission operations, ensuring seamless broadcast coverage. Flexible to work on a rotating schedule, including some weekends, to provide operational support during broadcast times. Conducts regular inspections and preventive maintenance of broadcast equipment to identify potential faults and address them proactively. Stays current with emerging broadcast technologies, industry trends and best practices, and recommends equipment upgrades and system enhancements. Collaborates with IT and network teams to integrate broadcast systems with existing infrastructure and troubleshoots network-related issues. Documents technical procedures, system configurations and troubleshooting guides to facilitate knowledge sharing and ensure consistent operational processes. Trains and supports staff in properly using and maintaining broadcast equipment and systems. BACKGROUND/SKILLS: Technical degree desired (Computer Engineering, Electrical Engineering, or Information Systems). Previous SMPTE 2110 knowledge and experience preferred. ITIL Foundation desired. Software Engineering skills preferred. A minimum of three years of broadcast media experience. A minimum of three to five years of experience in the IT domain and enterprise networking. Must lift equipment weighing up to 50lbs and work effectively in cramped spaces. Ability to sit, stand, bend, kneel and lift for extended periods. Ability to climb stairs and ladders.
09/17/2026
Full time
Job Description Job Description GENERAL FUNCTION : As a Broadcast Engineer, you will be responsible for providing technical support and maintenance for our SMPTE 2110 master control rooms and studio operations, and ensuring the seamless operation of our broadcast systems. Your expertise in IP-based video technologies and knowledge of broadcast technologies will be crucial in delivering high-quality audio and video content to our audience. RESPONSIBILITIES: Provides technical support and maintenance for the master control rooms, ensuring uninterrupted broadcasting operations. Monitors and troubleshoots audio and video signals, equipment and systems to maintain optimal performance and resolve issues. Collaborates with production teams to ensure smooth execution of live broadcasts, including setting up and operating studio equipment such as cameras, microphones and lighting. Implements and adheres to IP-based video technologies (SMPTE2110/NDI) standards for audio and video over IP networks, ensuring compatibility and interoperability of broadcast systems. Assists in installing, configuring and maintaining broadcast equipment, including routers, switchers, servers and related hardware and software. Responsible for managing and supporting transmission operations, ensuring seamless broadcast coverage. Flexible to work on a rotating schedule, including some weekends, to provide operational support during broadcast times. Conducts regular inspections and preventive maintenance of broadcast equipment to identify potential faults and address them proactively. Stays current with emerging broadcast technologies, industry trends and best practices, and recommends equipment upgrades and system enhancements. Collaborates with IT and network teams to integrate broadcast systems with existing infrastructure and troubleshoots network-related issues. Documents technical procedures, system configurations and troubleshooting guides to facilitate knowledge sharing and ensure consistent operational processes. Trains and supports staff in properly using and maintaining broadcast equipment and systems. BACKGROUND/SKILLS: Technical degree desired (Computer Engineering, Electrical Engineering, or Information Systems). Previous SMPTE 2110 knowledge and experience preferred. ITIL Foundation desired. Software Engineering skills preferred. A minimum of three years of broadcast media experience. A minimum of three to five years of experience in the IT domain and enterprise networking. Must lift equipment weighing up to 50lbs and work effectively in cramped spaces. Ability to sit, stand, bend, kneel and lift for extended periods. Ability to climb stairs and ladders.
Job Description Job Description TITLE: eCommerce Operations Engineer (Full Time) Groundbreaking advances in synthetic biology achieved at Client X allow us to create products that are better and safer for humans and more sustainable for the planet. The Digital group is charged with creating connected experiences and back-end services to catapult our consumer brands to global significance and impact. Up from three at the start of the year, today we support nine exciting brands: Biossance, Pipette, Costa Brazil, Purecane, OLIKA, Terasana, Rose, Inc., JVN Hair, and Eco Fabulous The compute ecosystem for the consumer business consists of Shopify, custom Shopify apps, Boomi, Salesforce Marketing Cloud, Zendesk, Domo, NetSuite, and other third-party and internally created software. We will also launch our largest brand, Biossance, in different languages in 2021, the first step in a global e-commerce expansion. We are hiring an engineer who is passionate about delivering operational excellence. You know how to deal with ambiguity and prioritize your tasks in a fast-paced environment. The impact of this role is highly visible to our senior business leaders. You will lead mission-critical integrations and crisis management for our eCommerce stores. You have the knowledge and confidence to advise others on the best practices in operations and develop a roadmap with our team for our future operations' growth. Responsibilities: Develop and support Integrations between Shopify, Boomi, NetSuite, and Salesforce. Enforce and improve eCommerce operations policies including change management, user governance, data access control, and incident management. Communicate with business stakeholders, collect requirements, and collaborate with overseas developers to continuously improve our eCommerce systems. Monitor the health status of our eCommerce systems and email marketing campaigns through analytics and key metrics. Immediately address any risks that impact our live operations. On-call for emergency operation issues. Use your passion, skills, and wisdom to bring our digital platforms to their full potential in the best customer experience and growth for our brands. Required Qualifications: Bachelor's degree. Ten (10+) years related experience in system engineering and integration. Five (5+) years of experience in project management in system integration. Five (5+) years in enforcing and improving software change management in live operations. Preferred Qualifications: Experience in Shopify, Google Analytics, Google Search Console, and Google Tag Management is highly preferred. Experience with Accessible Rich Internet Applications (ARIA) is a big plus. Excellent communicator who explains technical details in nontechnical language. Solid understanding of cybersecurity. Demonstrated ability to work as part of a cross-functional team and willingness to take on responsibilities outside primary job description when necessary. Proficient with MS Office, Google Suite, and Jira.
09/17/2026
Full time
Job Description Job Description TITLE: eCommerce Operations Engineer (Full Time) Groundbreaking advances in synthetic biology achieved at Client X allow us to create products that are better and safer for humans and more sustainable for the planet. The Digital group is charged with creating connected experiences and back-end services to catapult our consumer brands to global significance and impact. Up from three at the start of the year, today we support nine exciting brands: Biossance, Pipette, Costa Brazil, Purecane, OLIKA, Terasana, Rose, Inc., JVN Hair, and Eco Fabulous The compute ecosystem for the consumer business consists of Shopify, custom Shopify apps, Boomi, Salesforce Marketing Cloud, Zendesk, Domo, NetSuite, and other third-party and internally created software. We will also launch our largest brand, Biossance, in different languages in 2021, the first step in a global e-commerce expansion. We are hiring an engineer who is passionate about delivering operational excellence. You know how to deal with ambiguity and prioritize your tasks in a fast-paced environment. The impact of this role is highly visible to our senior business leaders. You will lead mission-critical integrations and crisis management for our eCommerce stores. You have the knowledge and confidence to advise others on the best practices in operations and develop a roadmap with our team for our future operations' growth. Responsibilities: Develop and support Integrations between Shopify, Boomi, NetSuite, and Salesforce. Enforce and improve eCommerce operations policies including change management, user governance, data access control, and incident management. Communicate with business stakeholders, collect requirements, and collaborate with overseas developers to continuously improve our eCommerce systems. Monitor the health status of our eCommerce systems and email marketing campaigns through analytics and key metrics. Immediately address any risks that impact our live operations. On-call for emergency operation issues. Use your passion, skills, and wisdom to bring our digital platforms to their full potential in the best customer experience and growth for our brands. Required Qualifications: Bachelor's degree. Ten (10+) years related experience in system engineering and integration. Five (5+) years of experience in project management in system integration. Five (5+) years in enforcing and improving software change management in live operations. Preferred Qualifications: Experience in Shopify, Google Analytics, Google Search Console, and Google Tag Management is highly preferred. Experience with Accessible Rich Internet Applications (ARIA) is a big plus. Excellent communicator who explains technical details in nontechnical language. Solid understanding of cybersecurity. Demonstrated ability to work as part of a cross-functional team and willingness to take on responsibilities outside primary job description when necessary. Proficient with MS Office, Google Suite, and Jira.
Job Description Job Description Job Description Principal Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home As a Principal Machine Learning Engineer, you are a deep technical authority responsible for designing and evolving the most critical ML systems in the company. The Principal Machine Learning Engineer will operate across training, inference, evaluation, and infrastructure, solving the hardest architectural and performance problems. While Technical Leads may own execution at the team level, you set the technical standard and shape how ML systems are built across the organization. This is a hands-on, high-impact role focused on depth. This position is 100% Remote. Principal Machine Learning Engineer Responsibilities: - Architect and build large-scale ML systems spanning data, training, evaluation, inference, and deployment. - Design reproducible, high-performance training pipelines across GPU infrastructure. - Architect inference systems that balance latency, throughput, cost, and reliability at scale. - Design and maintain data systems for high-quality synthetic and real-world training data. - Implement evaluation pipelines covering performance, robustness, safety, and bias, in partnership with research leadership. - Own production deployment, including GPU optimization, memory efficiency, latency reduction, and scaling policies. - Collaborate closely with application engineering to integrate ML systems cleanly into backend, mobile, and desktop products. - Make pragmatic trade-offs and ship improvements quickly, learning from real usage. - Work under real production constraints: latency, cost, reliability, and safety Principal Machine Learning Engineer Outcomes: - ML systems (training, inference, evaluation) are reliable, scalable, and meet defined performance targets. - Models deployed to production achieve measurable quality improvements and meet user-impact goals. - Production issues are proactively monitored, debugged, and resolved with clear root-cause analysis. - Team and cross-functional collaborators benefit from clear guidance, best practices, and scalable ML solutions. - Research-to-production cycles are efficient, safe, and continuously improve the product experience. Qualifications Principal Machine Learning Engineer Qualifications: - Strong background in deep learning and transformer-based architectures. - Artificial Intelligence (AI) experience required. - Hands-on experience training, fine-tuning, or deploying large-scale ML models in production. - Proficiency with at least one modern ML framework (e.g. PyTorch, JAX), and ability to learn others quickly. - Experience with distributed training and inference frameworks (e.g. DeepSpeed, FSDP, Megatron, ZeRO, Ray). - Strong software engineering fundamentals; you write robust, maintainable, production-grade systems. - Experience with GPU optimization, including memory efficiency, quantization, and mixed precision. - Comfort owning ambiguous, zero-to-one ML systems end-to-end. - A bias toward shipping, learning fast, and improving systems through iteration. - Experience with LLM inference frameworks such as vLLM, TensorRT-LLM, or FasterTransformer. - Contributions to open-source ML or systems libraries. - Background in scientific computing, compilers, or GPU kernels. - Experience with RLHF pipelines (PPO, DPO, ORPO). - Experience training or deploying multimodal or diffusion models. - Experience with large-scale data processing (Apache Arrow, Spark, Ray). Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc. Looking to hire a Principal Machine Learning Engineer in San Francisco, CA or in other cities? Our IT recruiting agencies and staffing companies can help. We help companies that are looking to hire Principal Machine Learning Engineers for jobs in San Francisco, California and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today! Additional Information Please check out all of our jobs at .
09/17/2026
Full time
Job Description Job Description Job Description Principal Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home As a Principal Machine Learning Engineer, you are a deep technical authority responsible for designing and evolving the most critical ML systems in the company. The Principal Machine Learning Engineer will operate across training, inference, evaluation, and infrastructure, solving the hardest architectural and performance problems. While Technical Leads may own execution at the team level, you set the technical standard and shape how ML systems are built across the organization. This is a hands-on, high-impact role focused on depth. This position is 100% Remote. Principal Machine Learning Engineer Responsibilities: - Architect and build large-scale ML systems spanning data, training, evaluation, inference, and deployment. - Design reproducible, high-performance training pipelines across GPU infrastructure. - Architect inference systems that balance latency, throughput, cost, and reliability at scale. - Design and maintain data systems for high-quality synthetic and real-world training data. - Implement evaluation pipelines covering performance, robustness, safety, and bias, in partnership with research leadership. - Own production deployment, including GPU optimization, memory efficiency, latency reduction, and scaling policies. - Collaborate closely with application engineering to integrate ML systems cleanly into backend, mobile, and desktop products. - Make pragmatic trade-offs and ship improvements quickly, learning from real usage. - Work under real production constraints: latency, cost, reliability, and safety Principal Machine Learning Engineer Outcomes: - ML systems (training, inference, evaluation) are reliable, scalable, and meet defined performance targets. - Models deployed to production achieve measurable quality improvements and meet user-impact goals. - Production issues are proactively monitored, debugged, and resolved with clear root-cause analysis. - Team and cross-functional collaborators benefit from clear guidance, best practices, and scalable ML solutions. - Research-to-production cycles are efficient, safe, and continuously improve the product experience. Qualifications Principal Machine Learning Engineer Qualifications: - Strong background in deep learning and transformer-based architectures. - Artificial Intelligence (AI) experience required. - Hands-on experience training, fine-tuning, or deploying large-scale ML models in production. - Proficiency with at least one modern ML framework (e.g. PyTorch, JAX), and ability to learn others quickly. - Experience with distributed training and inference frameworks (e.g. DeepSpeed, FSDP, Megatron, ZeRO, Ray). - Strong software engineering fundamentals; you write robust, maintainable, production-grade systems. - Experience with GPU optimization, including memory efficiency, quantization, and mixed precision. - Comfort owning ambiguous, zero-to-one ML systems end-to-end. - A bias toward shipping, learning fast, and improving systems through iteration. - Experience with LLM inference frameworks such as vLLM, TensorRT-LLM, or FasterTransformer. - Contributions to open-source ML or systems libraries. - Background in scientific computing, compilers, or GPU kernels. - Experience with RLHF pipelines (PPO, DPO, ORPO). - Experience training or deploying multimodal or diffusion models. - Experience with large-scale data processing (Apache Arrow, Spark, Ray). Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc. Looking to hire a Principal Machine Learning Engineer in San Francisco, CA or in other cities? Our IT recruiting agencies and staffing companies can help. We help companies that are looking to hire Principal Machine Learning Engineers for jobs in San Francisco, California and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today! Additional Information Please check out all of our jobs at .
Job Description Job Description DESCRIPTION Entry-level technician responsible for installing, maintaining, and troubleshooting IP video systems under supervision. Performs routine tasks and develops foundational knowledge of video surveillance technologies, networking, and customer support. RESPONSIBILITIES Ensure safety protocols are developed, implemented, and executed, specifically all reporting and PPE requirements as required by OSHA, company, and project site. Complete and maintain daily documentation as required by supervisor, manager, or general contractor. Install and configure basic IP cameras, NVRs, and related hardware. Perform routine system maintenance and inspections. Diagnose and resolve basic hardware and connectivity issues. Assist other technicians with system deployments and upgrades. Document installation activities, service calls, and maintenance records. Escalate complex technical issues to higher-level technicians. Provide basic user support and training. Responsible for ensuring that all project-required documentation is collected and complete. Including, but not limited to, Termination Schedules, Hardware Schedules, Password Log, etc. Track schedule progress and follow up on delays or missing information with the project team. Help monitor project costs and material management. Assist with change requests and pricing with guidance from the Project Manager. Attend internal project meetings and communicate action items with the project team. Help maintain project quality, schedules, punch list progress, and as-built information. Participate in Constructability Reviews with members of the project team, including both field personnel and engineering. Installation and termination of conductors, cables, network systems, control systems, IP Video systems, access control systems, audio systems, and all associated field devices. Troubleshooting, maintaining, and repairing integrated systems using a variety of test instruments specifically intended for each system, i.e., (OTDR) optical time-domain reflectometer used for fiber optic cable, Cat6 cable certifier used for network systems, multimeter/volt-ohmmeter used for various control systems and voltages. May be required to work outside of normal business hours and travel as dictated by project needs. Maintain the standards, culture, and values of CML Security. Strictly adhere to all CML safety policies and procedures. Other duties as assigned. QUALIFICATIONS AND SKILLS High School Diploma or GED equivalent. Possess or obtain systems certifications, i.e., Bosch, Genetec, Corning, BICSI, etc. Possess and maintain OSHA 30 certification and all required equipment operators' certifications, i.e., forklift, scissor lift, aerial lift, etc. Ability to interpret and utilize basic schematics, diagrams, and drawings. Basic understanding of IP networking concepts. Ability to use hand tools and test equipment. Ability to communicate clearly and effectively. Familiarity with both SEC and DEC preferred. Strong skills in Microsoft Suite of Software, Adobe or Bluebeam. Previous Procore software usage preferred. Valid Driver's License. Maintain the ability to clear background checks. SUPERVISION This position reports directly to the Project Executive and performs assigned installation, maintenance, documentation, testing, and troubleshooting activities under the direction of project leadership and more experienced technicians. The IPV Technician Level I receives guidance related to project priorities, technical requirements, work quality, safety compliance, customer support, and the proper escalation of complex technical issues. This position does not have direct supervisory responsibility. WORK ENVIRONMENT & CONDITIONS This role works in an office, shop, and active construction job site environment, with frequent interaction with Project Management, Field Operations, Engineering, vendors, subcontractors, clients, and other project stakeholders. Job site visits may include exposure to active construction conditions, moving equipment, noise, dust, uneven walking surfaces, ladders, stairs, outdoor weather conditions, secured or detention/correctional environments, and other site-specific conditions. Physical demands may include prolonged periods of sitting, standing, and walking. This role is expected to follow all company, client, OSHA, and site-specific safety requirements, including required reporting and the use of required personal protective equipment. This role requires regular travel to project locations and may require work outside of normal business hours based on project needs, deadlines, inspections, meetings, or field conditions. Ability to lift up to 50 lbs. Company Description Our team works alongside General Contractors and Architects to provide the best solutions for construction and design of detention facilities, often helping owners narrow down particular solutions needed for their individual project. Total Rewards include wages, eligibility for the company's bonus program, medical insurance benefits, as well as more unique programs, including a 401k match, fitness reimbursement, tuition reimbursement, cell phone provider discount, employee referral bonus, employee assistance program, Elevations Credit Union membership, CML apparel reimbursement and access to CML's Top Golf platinum membership. CML is an Equal Opportunity Employer We promote a safe workplace and provide regulatory compliance training as well as CML offers safety credential advancement. Company Description Our team works alongside General Contractors and Architects to provide the best solutions for construction and design of detention facilities, often helping owners narrow down particular solutions needed for their individual project. Total Rewards include wages, eligibility for the company's bonus program, medical insurance benefits, as well as more unique programs, including a 401k match, fitness reimbursement, tuition reimbursement, cell phone provider discount, employee referral bonus, employee assistance program, Elevations Credit Union membership, CML apparel reimbursement and access to CML's Top Golf platinum membership. CML is an Equal Opportunity Employer We promote a safe workplace and provide regulatory compliance training as well as CML offers safety credential advancement.
09/17/2026
Full time
Job Description Job Description DESCRIPTION Entry-level technician responsible for installing, maintaining, and troubleshooting IP video systems under supervision. Performs routine tasks and develops foundational knowledge of video surveillance technologies, networking, and customer support. RESPONSIBILITIES Ensure safety protocols are developed, implemented, and executed, specifically all reporting and PPE requirements as required by OSHA, company, and project site. Complete and maintain daily documentation as required by supervisor, manager, or general contractor. Install and configure basic IP cameras, NVRs, and related hardware. Perform routine system maintenance and inspections. Diagnose and resolve basic hardware and connectivity issues. Assist other technicians with system deployments and upgrades. Document installation activities, service calls, and maintenance records. Escalate complex technical issues to higher-level technicians. Provide basic user support and training. Responsible for ensuring that all project-required documentation is collected and complete. Including, but not limited to, Termination Schedules, Hardware Schedules, Password Log, etc. Track schedule progress and follow up on delays or missing information with the project team. Help monitor project costs and material management. Assist with change requests and pricing with guidance from the Project Manager. Attend internal project meetings and communicate action items with the project team. Help maintain project quality, schedules, punch list progress, and as-built information. Participate in Constructability Reviews with members of the project team, including both field personnel and engineering. Installation and termination of conductors, cables, network systems, control systems, IP Video systems, access control systems, audio systems, and all associated field devices. Troubleshooting, maintaining, and repairing integrated systems using a variety of test instruments specifically intended for each system, i.e., (OTDR) optical time-domain reflectometer used for fiber optic cable, Cat6 cable certifier used for network systems, multimeter/volt-ohmmeter used for various control systems and voltages. May be required to work outside of normal business hours and travel as dictated by project needs. Maintain the standards, culture, and values of CML Security. Strictly adhere to all CML safety policies and procedures. Other duties as assigned. QUALIFICATIONS AND SKILLS High School Diploma or GED equivalent. Possess or obtain systems certifications, i.e., Bosch, Genetec, Corning, BICSI, etc. Possess and maintain OSHA 30 certification and all required equipment operators' certifications, i.e., forklift, scissor lift, aerial lift, etc. Ability to interpret and utilize basic schematics, diagrams, and drawings. Basic understanding of IP networking concepts. Ability to use hand tools and test equipment. Ability to communicate clearly and effectively. Familiarity with both SEC and DEC preferred. Strong skills in Microsoft Suite of Software, Adobe or Bluebeam. Previous Procore software usage preferred. Valid Driver's License. Maintain the ability to clear background checks. SUPERVISION This position reports directly to the Project Executive and performs assigned installation, maintenance, documentation, testing, and troubleshooting activities under the direction of project leadership and more experienced technicians. The IPV Technician Level I receives guidance related to project priorities, technical requirements, work quality, safety compliance, customer support, and the proper escalation of complex technical issues. This position does not have direct supervisory responsibility. WORK ENVIRONMENT & CONDITIONS This role works in an office, shop, and active construction job site environment, with frequent interaction with Project Management, Field Operations, Engineering, vendors, subcontractors, clients, and other project stakeholders. Job site visits may include exposure to active construction conditions, moving equipment, noise, dust, uneven walking surfaces, ladders, stairs, outdoor weather conditions, secured or detention/correctional environments, and other site-specific conditions. Physical demands may include prolonged periods of sitting, standing, and walking. This role is expected to follow all company, client, OSHA, and site-specific safety requirements, including required reporting and the use of required personal protective equipment. This role requires regular travel to project locations and may require work outside of normal business hours based on project needs, deadlines, inspections, meetings, or field conditions. Ability to lift up to 50 lbs. Company Description Our team works alongside General Contractors and Architects to provide the best solutions for construction and design of detention facilities, often helping owners narrow down particular solutions needed for their individual project. Total Rewards include wages, eligibility for the company's bonus program, medical insurance benefits, as well as more unique programs, including a 401k match, fitness reimbursement, tuition reimbursement, cell phone provider discount, employee referral bonus, employee assistance program, Elevations Credit Union membership, CML apparel reimbursement and access to CML's Top Golf platinum membership. CML is an Equal Opportunity Employer We promote a safe workplace and provide regulatory compliance training as well as CML offers safety credential advancement. Company Description Our team works alongside General Contractors and Architects to provide the best solutions for construction and design of detention facilities, often helping owners narrow down particular solutions needed for their individual project. Total Rewards include wages, eligibility for the company's bonus program, medical insurance benefits, as well as more unique programs, including a 401k match, fitness reimbursement, tuition reimbursement, cell phone provider discount, employee referral bonus, employee assistance program, Elevations Credit Union membership, CML apparel reimbursement and access to CML's Top Golf platinum membership. CML is an Equal Opportunity Employer We promote a safe workplace and provide regulatory compliance training as well as CML offers safety credential advancement.
This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph. This is a hands-on technical role that requires an advanced software/systems engineering background. Coding/automation and design/architecture skills are required! The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at AWS. ProServe is a global organization of experts that help customers realize their desired business outcomes when utilizing AWS. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. As a Delivery Consultant, you will work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success throughout their cloud journey, providing technical expertise and best practices across the project lifecycle. You'll collaborate closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As an experienced technology professional, you will be responsible for: • Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs • Providing technical guidance and troubleshooting support throughout project delivery • Collaborating with stakeholders to gather requirements and propose effective migration strategies • Acting as a trusted advisor to customers on industry trends and emerging technologies • Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team About AWS AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS- Bachelor's degree in Computer Science, Engineering, or a related field - 5+ years of work with software development lifecycle from conception to delivery experience - Experience working with Enterprise Application Modernization and Migration technologies, including, but not limited to, Mainframe, Serverless, Containers, or Cloud Operations - 5+ years of external or internal customer facing, complex and large scale project management experience - Current, active US Government Security Clearance of TS/SCI with Polygraph PREFERRED QUALIFICATIONS- Experience communicating technical concepts to diverse audiences in pre-sales environments - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience in performance optimization and cost management for cloud environments - Knowledge of security and compliance standards including HIPAA and GDPR - Experience with AWS data/file transfer solutions including AWS Application Migration Service (MGN), AWS Database Migration Service (DMS), and/or AWS DataSync Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, MD, Jessup - 153 800.00 USD annually
09/17/2026
Full time
This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph. This is a hands-on technical role that requires an advanced software/systems engineering background. Coding/automation and design/architecture skills are required! The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at AWS. ProServe is a global organization of experts that help customers realize their desired business outcomes when utilizing AWS. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. As a Delivery Consultant, you will work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success throughout their cloud journey, providing technical expertise and best practices across the project lifecycle. You'll collaborate closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As an experienced technology professional, you will be responsible for: • Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs • Providing technical guidance and troubleshooting support throughout project delivery • Collaborating with stakeholders to gather requirements and propose effective migration strategies • Acting as a trusted advisor to customers on industry trends and emerging technologies • Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team About AWS AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS- Bachelor's degree in Computer Science, Engineering, or a related field - 5+ years of work with software development lifecycle from conception to delivery experience - Experience working with Enterprise Application Modernization and Migration technologies, including, but not limited to, Mainframe, Serverless, Containers, or Cloud Operations - 5+ years of external or internal customer facing, complex and large scale project management experience - Current, active US Government Security Clearance of TS/SCI with Polygraph PREFERRED QUALIFICATIONS- Experience communicating technical concepts to diverse audiences in pre-sales environments - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience in performance optimization and cost management for cloud environments - Knowledge of security and compliance standards including HIPAA and GDPR - Experience with AWS data/file transfer solutions including AWS Application Migration Service (MGN), AWS Database Migration Service (DMS), and/or AWS DataSync Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, MD, Jessup - 153 800.00 USD annually
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary Are you an Apache Kafka committer who wants to operate at the highest level of technical and community influence? This role connects deep upstream work, including binding committer authority, KIP-level design, and protocol-aware engineering, directly to production-scale outcomes in enterprise Kafka deployments. NetApp Instaclustr runs one of the industry's largest managed open source data platform portfolios, including Apache Kafka services for enterprise customers across financial services, retail, and technology sectors. Our open source engineering team contributes to projects that matter to production operators at scale, and this role strengthens our ability to influence Apache Kafka upstream in areas that affect reliability, performance, operability, and customer delivery. You will work at both levels - upstream influence and customer impact - with meaningful autonomy, strong peer collaboration, and direct access to the product and field relationships that turn technical work into commercial outcomes. This is a globally distributed team with up to 10% travel. The role is based in one of our office locations - US REMOTE Note that we have global opportunities as well in Cork,Ireland & Netherlands (Schiphol). Postings also available in those markets/locations. Overview As a Senior Open Source Software Engineer, your responsibilities will include: Lead end-to-end upstream initiatives in Apache Kafka, from KIP authoring and design consensus through implementation, review, and release, in domains such as broker internals, storage and log management, replication, KRaft metadata quorum, consumer group coordination, Kafka Streams, Kafka Connect, observability, and release quality. Provide binding committer reviews on upstream patches and community contributions, applying the technical rigor and authority that moves high-quality work through the Apache Kafka review process. Contribute to Apache Kafka release management as part of the committer community, including release planning, blocker triage, test stabilization, release candidate validation, documentation readiness, and post-release follow-through. Translate enterprise customer and operator needs into credible upstream proposals, KIP-level designs, and sustained technical engagement that only a committer can supply; advise product and field teams on complex Kafka trade-offs. Shape community direction through evidence-based participation relevant Kafka community channels; influence project decisions on architecture, compatibility, protocol evolution, release policy, contribution standards, and long-term roadmap. Mentor engineers toward committer standing and raise overall contribution quality through rigorous review practices, test discipline, and clear engineering guidance. Improve upstream infrastructure, including CI reliability, test coverage, contributor tooling, benchmarking, release automation, and compatibility validation, to reduce project-wide maintenance burden. Job Requirements A minimum of 12 years of applicable professional software engineering experience is required. Current Apache Kafka committer status with a sustained and publicly verifiable upstream track record across patches, reviews, KIPs, and community standing in Kafka core or a closely related area such as Streams, Connect, clients, or release engineering. Expert Java engineering capability in performance-sensitive, concurrent, and production-grade distributed systems, with the ability to write, review, and reason about complex Kafka internals at depth. Deep mastery of Apache Kafka internals in at least one major domain: broker storage and log replication, KRaft and metadata management, consumer group coordination and rebalancing, protocol and client compatibility, Kafka Streams, Kafka Connect, observability, performance, or release management and CI. Demonstrated ability to lead complex technical work through the Apache open source governance model: KIP authoring or co-sponsorship, design consensus, mailing-list engagement, and Jira-driven delivery from proposal through merge. Strong written communication for asynchronous, global, public technical collaboration - mailing lists, design documents, code reviews, and Jira threads. Proven senior-level technical judgment that resolves most blockers independently, determines approach on novel or ambiguous assignments, surfaces systemic risks proactively, and produces work that is consistent with project and team objectives. Preferred qualifications PMC membership in Apache Kafka or a related Apache project. Track record of work in current Kafka feature and maintenance areas such as KRaft maturity, controller and metadata reliability, consumer rebalance protocol improvements, exactly-once semantics, tiered storage, Kafka Connect security and operability, Streams APIs, client metrics, or release stabilization. Experience connecting upstream technical leadership to enterprise customer and operator outcomes - translating production pain points into accepted community improvements. History of mentoring contributors toward reviewer or committer standing in an open governance project. Familiarity with the Kafka ecosystem: Kafka Streams, Kafka Connect, MirrorMaker 2, Kafka clients, schema and serialization patterns, Kubernetes-based Kafka operations, or adjacent open source projects such as Strimzi. Education Bachelor's degree in engineering or technical related field of study Or additional equivalent experience. Team Information Leadership and team culture The hiring manager for this role is an Engineering Manager for the Open Source Engineering team. You will join a globally distributed group that values committer-grade technical judgment, clear ownership, transparent community engagement, and practical impact on real customer outcomes. The team culture is high-trust and high-accountability. We support engineers who can go deep technically, mentor others generously, collaborate across product and field functions, and improve both code and the contributor ecosystem around it. You will have significant autonomy paired with close collaboration and genuine visibility into the strategic bets your work enables. Compensation: The target salary range for this position is $220,000-265,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates . click apply for full job details
09/17/2026
Full time
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary Are you an Apache Kafka committer who wants to operate at the highest level of technical and community influence? This role connects deep upstream work, including binding committer authority, KIP-level design, and protocol-aware engineering, directly to production-scale outcomes in enterprise Kafka deployments. NetApp Instaclustr runs one of the industry's largest managed open source data platform portfolios, including Apache Kafka services for enterprise customers across financial services, retail, and technology sectors. Our open source engineering team contributes to projects that matter to production operators at scale, and this role strengthens our ability to influence Apache Kafka upstream in areas that affect reliability, performance, operability, and customer delivery. You will work at both levels - upstream influence and customer impact - with meaningful autonomy, strong peer collaboration, and direct access to the product and field relationships that turn technical work into commercial outcomes. This is a globally distributed team with up to 10% travel. The role is based in one of our office locations - US REMOTE Note that we have global opportunities as well in Cork,Ireland & Netherlands (Schiphol). Postings also available in those markets/locations. Overview As a Senior Open Source Software Engineer, your responsibilities will include: Lead end-to-end upstream initiatives in Apache Kafka, from KIP authoring and design consensus through implementation, review, and release, in domains such as broker internals, storage and log management, replication, KRaft metadata quorum, consumer group coordination, Kafka Streams, Kafka Connect, observability, and release quality. Provide binding committer reviews on upstream patches and community contributions, applying the technical rigor and authority that moves high-quality work through the Apache Kafka review process. Contribute to Apache Kafka release management as part of the committer community, including release planning, blocker triage, test stabilization, release candidate validation, documentation readiness, and post-release follow-through. Translate enterprise customer and operator needs into credible upstream proposals, KIP-level designs, and sustained technical engagement that only a committer can supply; advise product and field teams on complex Kafka trade-offs. Shape community direction through evidence-based participation relevant Kafka community channels; influence project decisions on architecture, compatibility, protocol evolution, release policy, contribution standards, and long-term roadmap. Mentor engineers toward committer standing and raise overall contribution quality through rigorous review practices, test discipline, and clear engineering guidance. Improve upstream infrastructure, including CI reliability, test coverage, contributor tooling, benchmarking, release automation, and compatibility validation, to reduce project-wide maintenance burden. Job Requirements A minimum of 12 years of applicable professional software engineering experience is required. Current Apache Kafka committer status with a sustained and publicly verifiable upstream track record across patches, reviews, KIPs, and community standing in Kafka core or a closely related area such as Streams, Connect, clients, or release engineering. Expert Java engineering capability in performance-sensitive, concurrent, and production-grade distributed systems, with the ability to write, review, and reason about complex Kafka internals at depth. Deep mastery of Apache Kafka internals in at least one major domain: broker storage and log replication, KRaft and metadata management, consumer group coordination and rebalancing, protocol and client compatibility, Kafka Streams, Kafka Connect, observability, performance, or release management and CI. Demonstrated ability to lead complex technical work through the Apache open source governance model: KIP authoring or co-sponsorship, design consensus, mailing-list engagement, and Jira-driven delivery from proposal through merge. Strong written communication for asynchronous, global, public technical collaboration - mailing lists, design documents, code reviews, and Jira threads. Proven senior-level technical judgment that resolves most blockers independently, determines approach on novel or ambiguous assignments, surfaces systemic risks proactively, and produces work that is consistent with project and team objectives. Preferred qualifications PMC membership in Apache Kafka or a related Apache project. Track record of work in current Kafka feature and maintenance areas such as KRaft maturity, controller and metadata reliability, consumer rebalance protocol improvements, exactly-once semantics, tiered storage, Kafka Connect security and operability, Streams APIs, client metrics, or release stabilization. Experience connecting upstream technical leadership to enterprise customer and operator outcomes - translating production pain points into accepted community improvements. History of mentoring contributors toward reviewer or committer standing in an open governance project. Familiarity with the Kafka ecosystem: Kafka Streams, Kafka Connect, MirrorMaker 2, Kafka clients, schema and serialization patterns, Kubernetes-based Kafka operations, or adjacent open source projects such as Strimzi. Education Bachelor's degree in engineering or technical related field of study Or additional equivalent experience. Team Information Leadership and team culture The hiring manager for this role is an Engineering Manager for the Open Source Engineering team. You will join a globally distributed group that values committer-grade technical judgment, clear ownership, transparent community engagement, and practical impact on real customer outcomes. The team culture is high-trust and high-accountability. We support engineers who can go deep technically, mentor others generously, collaborate across product and field functions, and improve both code and the contributor ecosystem around it. You will have significant autonomy paired with close collaboration and genuine visibility into the strategic bets your work enables. Compensation: The target salary range for this position is $220,000-265,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates . click apply for full job details
Job Description Job Description Design Expert Job Type: Contractor Location: Remote Schedule: Flexible / Self-Directed Job Overview We are seeking senior Product Design and AI-Assisted Development Experts to create evaluation tasks for AI systems working across rapid prototyping, product design, and human-AI collaboration. Experts may contribute to either or both tracks: Vibecoding: AI-assisted software development, natural-language-to-code workflows, and rapid prototyping. Design: Product design, UX/UI, design systems, component libraries, research, and usability. No formal credential is required; demonstrated expertise and shipped work are highly valued. Key Responsibilities Create realistic scenarios covering rapid prototyping, iteration, design systems, and product-design-engineering collaboration . Develop tasks involving AI coding tools such as Cursor, Claude Code, v0, and Replit . Create Design-track tasks using Figma, Framer, prototyping tools, and design-system platforms . Apply prompt-driven development, human-centered design, heuristic evaluation, and rapid prototyping methodologies. Produce reference prototypes, code artifacts, design specifications, and usability evaluation reports. Develop detailed rubrics that distinguish senior-level product judgment from generic or template-driven work. Collaborate on task refinement and evaluation standards. Required Skills Product Design UX/UI Design Rapid Prototyping Design Systems Vibecoding / AI-Assisted Development Human-Centered Design User Research & Usability Testing Figma / Prototyping Tools Design Critique Product Judgment AI-Assisted Coding Evaluation & Rubric Development Preferred Qualifications 5+ years of experience as a product designer, design lead, or AI-native engineer/vibecoder. Experience at a product- or design-focused company, startup, or notable independent product. Direct ownership of shipped product designs, design systems, or AI-assisted development workflows . Strong fluency with relevant design or AI development tools. Portfolio of shipped work strongly preferred. Experience creating rubrics, training materials, design critiques, or evaluation frameworks is a plus. Contract & Payment Independent contractor engagement. Fully remote with a flexible schedule. Project duration may vary based on business needs and performance. Weekly payments via Stripe or Wise based on services rendered. Screening Questions How many years of product design, UX/UI, or AI-assisted development experience do you have? Which track do you specialize in: Vibecoding, Design, or both ? What products, design systems, or AI-assisted workflows have you shipped? Which tools do you use regularly (e.g., Figma, Framer, Cursor, Claude Code, v0, Replit)? Do you have a portfolio of shipped work? What experience do you have creating design critiques, rubrics, or evaluation frameworks? How soon can you start?
09/17/2026
Full time
Job Description Job Description Design Expert Job Type: Contractor Location: Remote Schedule: Flexible / Self-Directed Job Overview We are seeking senior Product Design and AI-Assisted Development Experts to create evaluation tasks for AI systems working across rapid prototyping, product design, and human-AI collaboration. Experts may contribute to either or both tracks: Vibecoding: AI-assisted software development, natural-language-to-code workflows, and rapid prototyping. Design: Product design, UX/UI, design systems, component libraries, research, and usability. No formal credential is required; demonstrated expertise and shipped work are highly valued. Key Responsibilities Create realistic scenarios covering rapid prototyping, iteration, design systems, and product-design-engineering collaboration . Develop tasks involving AI coding tools such as Cursor, Claude Code, v0, and Replit . Create Design-track tasks using Figma, Framer, prototyping tools, and design-system platforms . Apply prompt-driven development, human-centered design, heuristic evaluation, and rapid prototyping methodologies. Produce reference prototypes, code artifacts, design specifications, and usability evaluation reports. Develop detailed rubrics that distinguish senior-level product judgment from generic or template-driven work. Collaborate on task refinement and evaluation standards. Required Skills Product Design UX/UI Design Rapid Prototyping Design Systems Vibecoding / AI-Assisted Development Human-Centered Design User Research & Usability Testing Figma / Prototyping Tools Design Critique Product Judgment AI-Assisted Coding Evaluation & Rubric Development Preferred Qualifications 5+ years of experience as a product designer, design lead, or AI-native engineer/vibecoder. Experience at a product- or design-focused company, startup, or notable independent product. Direct ownership of shipped product designs, design systems, or AI-assisted development workflows . Strong fluency with relevant design or AI development tools. Portfolio of shipped work strongly preferred. Experience creating rubrics, training materials, design critiques, or evaluation frameworks is a plus. Contract & Payment Independent contractor engagement. Fully remote with a flexible schedule. Project duration may vary based on business needs and performance. Weekly payments via Stripe or Wise based on services rendered. Screening Questions How many years of product design, UX/UI, or AI-assisted development experience do you have? Which track do you specialize in: Vibecoding, Design, or both ? What products, design systems, or AI-assisted workflows have you shipped? Which tools do you use regularly (e.g., Figma, Framer, Cursor, Claude Code, v0, Replit)? Do you have a portfolio of shipped work? What experience do you have creating design critiques, rubrics, or evaluation frameworks? How soon can you start?
Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal ML Platform Engineer Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. This role is based at our h eadquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. About the Team Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. The Opportunity As a Principal Software Engineer, you will serve as a technical linchpin for the team, bringing deep expertise in cloud-native architecture and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity engineering solutions, set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. What You'll Do Develop Clean Software: Architect, build, and optimize high-performance software systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier application layers - from feature scoping through implementation. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. Required Qualifications Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Technical Mastery: Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java, Python, or Go. Domain Expertise: Deep working knowledge of distributed systems, cloud infrastructure, and the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. Preferred Qualifications Cloud Architecture: Strong experience designing microservices, working with containerization (Docker, Kubernetes), and implementing modern CI/CD pipelines. Cloud Platforms: Deep experience developing and operating infrastructure across public cloud ecosystems, specifically AWS, Azure, and/or GCP. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. What We Equip You With High-Impact Autonomy: A leadership environment where you will have real ownership over your team's direction, the latitude to make meaningful decisions, and participation in broader Engineering discussions. New Hire Orientation: A robust onboarding experience designed to integrate you smoothly into our technology, culture, and leadership model so you can show up for your team from day one. Continuous Enablement: Access to premier learning resources and dedicated learning time focused on both your continued technical growth and your evolution as an engineering leader. Sponsored Certifications: Full corporate sponsorship for professional technical certifications to advance your engineering credentials. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $175,000-$325,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments . click apply for full job details
09/17/2026
Full time
Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal ML Platform Engineer Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. This role is based at our h eadquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. About the Team Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. The Opportunity As a Principal Software Engineer, you will serve as a technical linchpin for the team, bringing deep expertise in cloud-native architecture and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity engineering solutions, set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. What You'll Do Develop Clean Software: Architect, build, and optimize high-performance software systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier application layers - from feature scoping through implementation. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. Required Qualifications Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Technical Mastery: Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java, Python, or Go. Domain Expertise: Deep working knowledge of distributed systems, cloud infrastructure, and the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. Preferred Qualifications Cloud Architecture: Strong experience designing microservices, working with containerization (Docker, Kubernetes), and implementing modern CI/CD pipelines. Cloud Platforms: Deep experience developing and operating infrastructure across public cloud ecosystems, specifically AWS, Azure, and/or GCP. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. What We Equip You With High-Impact Autonomy: A leadership environment where you will have real ownership over your team's direction, the latitude to make meaningful decisions, and participation in broader Engineering discussions. New Hire Orientation: A robust onboarding experience designed to integrate you smoothly into our technology, culture, and leadership model so you can show up for your team from day one. Continuous Enablement: Access to premier learning resources and dedicated learning time focused on both your continued technical growth and your evolution as an engineering leader. Sponsored Certifications: Full corporate sponsorship for professional technical certifications to advance your engineering credentials. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $175,000-$325,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments . click apply for full job details
Job Description Job Description Description FII USA, Inc ., a Foxconn Technology Group Company, is seeking a Failure Analysis Engineer to perform engineering investigations of significant customer field and line escalations related to hardware issues and collaborate with numerous internal engineering disciplines to resolve hardware issues. Once a part of the team, you will be responsible for a wide variety of tasks within the Test and Reliability Engineering Department in an office environment and have the opportunity to display critical thinking skills to expand your career in Smart Manufacturing. The Failure Analysis Engineer will monitor test failure trends in NPI, provide corrective actions to improve production test yields, and assist this Test and Reliability Engineering Department as needed. Responsibilities Interface with customers and internal cross-functional teams to root cause hardware issues to the component level Perform engineering investigations of significant customer field and line escalations related to hardware issues Monitor test failure trends in NPI and provide corrective actions to improve production test yields Design and develop debug tools to improve debug process and efficiency Provide training to technicians and debug team on new and existing debug procedures and product troubleshooting Support internal communications of techniques and processes for WW RMA & Service Centers Drive "best practices" across WW Operational, RMA & Service Sites Program manage CSP/Enterprise account Reliability requirements Facilitate Reliability strategy discussions Other duties as assigned Qualifications Bachelor's or Master's degree in electrical or computer engineering required Minimum of 4 years' experience designing and debugging Industry Standard Computing platforms required Experience in hardware/firmware/software development and test methodologies preferred Knowledge of key server technologies including Intel, AMD, ARM multi-core microprocessors, DDR 4/5 and NAND memory, and PCA design preferred Reasons you should work for us: Comprehensive benefits package including medical, dental, and vision insurance coverage. Basic life insurance and short-term disability coverage provided by employer. Supplemental life insurance and long-term disability coverage options available. 401K with employer contribution. Personal, Vacation, and Holiday paid time off for all full-time employees. Onsite Aurora Health & Wellness Center available for all employees. Employees are continuously encouraged to learn and grow their careers in smart manufacturing.
09/17/2026
Full time
Job Description Job Description Description FII USA, Inc ., a Foxconn Technology Group Company, is seeking a Failure Analysis Engineer to perform engineering investigations of significant customer field and line escalations related to hardware issues and collaborate with numerous internal engineering disciplines to resolve hardware issues. Once a part of the team, you will be responsible for a wide variety of tasks within the Test and Reliability Engineering Department in an office environment and have the opportunity to display critical thinking skills to expand your career in Smart Manufacturing. The Failure Analysis Engineer will monitor test failure trends in NPI, provide corrective actions to improve production test yields, and assist this Test and Reliability Engineering Department as needed. Responsibilities Interface with customers and internal cross-functional teams to root cause hardware issues to the component level Perform engineering investigations of significant customer field and line escalations related to hardware issues Monitor test failure trends in NPI and provide corrective actions to improve production test yields Design and develop debug tools to improve debug process and efficiency Provide training to technicians and debug team on new and existing debug procedures and product troubleshooting Support internal communications of techniques and processes for WW RMA & Service Centers Drive "best practices" across WW Operational, RMA & Service Sites Program manage CSP/Enterprise account Reliability requirements Facilitate Reliability strategy discussions Other duties as assigned Qualifications Bachelor's or Master's degree in electrical or computer engineering required Minimum of 4 years' experience designing and debugging Industry Standard Computing platforms required Experience in hardware/firmware/software development and test methodologies preferred Knowledge of key server technologies including Intel, AMD, ARM multi-core microprocessors, DDR 4/5 and NAND memory, and PCA design preferred Reasons you should work for us: Comprehensive benefits package including medical, dental, and vision insurance coverage. Basic life insurance and short-term disability coverage provided by employer. Supplemental life insurance and long-term disability coverage options available. 401K with employer contribution. Personal, Vacation, and Holiday paid time off for all full-time employees. Onsite Aurora Health & Wellness Center available for all employees. Employees are continuously encouraged to learn and grow their careers in smart manufacturing.
