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Senior Manager, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Machine Learning Engineer 5 McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Manager, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Machine Learning Engineer 5 McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job description: We are looking for an experienced Firmware Engineer to contribute to the development of products on our Research and Development Division in Herndon VA. As part of our R&D division, you would join our firmware team to develop, integrate, and test our firmware products in our spaced-based, electro-optical systems. Essential Job Duties Lead and contribute to firmware architecture and implementation for space-based electro-optical payloads and laser systems Perform end-to-end firmware development lifecycle: from requirements analysis through design, coding, simulation, verification, and validation Collaborate closely with hardware, systems, software, and optical engineers in cross-functional teams to define interfaces, resolve design issues, and ensure seamless system integration Participate in task-based iterative development cycles, incorporating rapid feedback, frequent integration points, and incremental testing to meet mission reliability goals Conduct lab-based debugging, hardware-in-the-loop testing, and system-level validation using diagnostic tools and protocols Support peer code reviews, knowledge sharing, and continuous improvement of development processes and best practices Apply high-reliability and space-grade techniques (e.g., fault tolerance, radiation mitigation) in a collaborative, team-oriented environment Contribute to documentation, design reviews, and risk identification throughout the product lifecycle Job Requirements Experience and Expertise Required 7+ years relevant experience BS/MS in EE or equivalent Expertise with firmware engineering, VHDL (RTL), System Verilog (Testing) Expertise with Digital Signal Processing, precision timing, optical comms (modems), LIDAR Experience with Xilinx, Microchip, and Lattice FPGAs and their associated development tools Experience developing test benches and running simulations to exercise the design and to verify compliance Experience interfacing and working with hardware designers during development, integration, and test phases Experience using schematics and block diagrams as inputs for firmware design Experience in high-speed serial links: GTY/GTM, JESD204B/C, Ethernet, SpaceWire Experience in standard peripheral interfaces: SPI, I2C, UART, LVDS, etc. Experience in memory interfaces: DDR3/4, QDR, FRAM, etc. Experience with GitHub, CI/CD for FPGA flows, code reviews, automated linting, synthesis, regression testing, timing closure, bitstream generation, release tagging Bonus Areas Experience in Python for build/testing automation and data analysis Experience with Linux, scripting, Docker containers, and automation Experience developing Hi-Rel/Space programs and TMR coding Experience developing code (C, C++) for microcontrollers Experience with VS Code We are a leading developer of laser and electro-optic systems for the aerospace community, with key contributions to lasers for atmospheric sensing, laser communications, and lidar sensors for NASA, DoD, and commercial customers. Qualifications: Job Requirements Experience and Expertise Required 7+ years relevant experience BS/MS in EE or equivalent Expertise with firmware engineering, VHDL (RTL), System Verilog (Testing) Expertise with Digital Signal Processing, precision timing, optical comms (modems), LIDAR Experience with Xilinx, Microchip, and Lattice FPGAs and their associated development tools Experience developing test benches and running simulations to exercise the design and to verify compliance Experience interfacing and working with hardware designers during development, integration, and test phases Experience using schematics and block diagrams as inputs for firmware design Experience in high-speed serial links: GTY/GTM, JESD204B/C, Ethernet, SpaceWire Experience in standard peripheral interfaces: SPI, I2C, UART, LVDS, etc. Experience in memory interfaces: DDR3/4, QDR, FRAM, etc. Experience with GitHub, CI/CD for FPGA flows, code reviews, automated linting, synthesis, regression testing, timing closure, bitstream generation, release tagging Bonus Areas Experience in Python for build/testing automation and data analysis Experience with Linux, scripting, Docker containers, and automation Experience developing Hi-Rel/Space programs and TMR coding Experience developing code (C, C++) for microcontrollers Experience with VS Code We are a leading developer of laser and electro-optic systems for the aerospace community, with key contributions to lasers for atmospheric sensing, laser communications, and lidar sensors for NASA, DoD, and commercial customers. Why is This a Great Opportunity: We are looking for an experienced Firmware Engineer to contribute to the development of products on our Research and Development Division in Herndon VA. As part of our R&D division, you would join our firmware team to develop, integrate, and test our firmware products in our spaced-based, electro-optical systems. Salary Type : Annual Salary Salary Min : $ 140000 Salary Max : $ 210000 Currency Type : USD

Department: Engineering Reports to: Senior Engineering Manager Location: HQ Superior, CO Salary Range: $100,000 - $135,000 Travel Requirement: Up to 20% domestic and international travel POSITION SUMMARY The Embedded Systems Engineer will serve as the in-house technical owner for an outsourced embedded and electrical engineering strategy, responsible for defining requirements, selecting and managing external engineering partners, and ensuring delivery of production-ready firmware, electronics, controls, and connected-tool platforms for Magswitch electromechanical and robotic products. KEY RESPONSIBILITIES - Write, revise, and improve firmware for both new and existing hardware - Bring up new boards and test firmware on real hardware - Debug firmware issues using logs, scopes, and basic test tools - Work with sensors, motors, I/O, and communication interfaces - Support firmware testing for prototypes and production units - Work with the sales team to help debug issues in the field - Work closely with the overseas manufacturing team, including off-hours meetings - Work with contractors and customers as needed - Stay on track with project timelines and budgets - Identify and promptly elevate any risk to project schedules and budgets to the manager MINIMUM QUALIFICATIONS - Bachelor's degree in electrical engineering or related field - Minimum of five years of relevant experience - Knowledgeable of embedded systems and programming C/C++ - Experience with motors, actuators, sensor integration, and electrically actuated tool or automation systems - Ability to write and debug board-level drivers - Experience with MCU peripherals, including SPI, I2C, ADCs, and GPIO - Experience with MCU timers, interrupts, and DMA - Experience debugging firmware using scopes, logic analyzers, and serial tools - Strong attention to detail and willingness to learn - Effective communication and organizational skills - Ability to test products hands-on and troubleshoot issues - Ability to create internal andcustomer-facingdocumentation - Ability to identify and understand relevant regulations and standards documents to ensure the product line meets all relevant standards and regulations - Ability to make intuitive decisions based on proper discernment of ideas and options - Possess strong verbal, written, and organizational skills essential to professional communication - Ability to work ina fast-pacedenvironment - Drive to expand THE TEAM's knowledge and develop new skills - International & Domestic Travel, Up to 20% Nice to haves - Ability to create and design electrical circuits, PCBs, and control schematics - Knowledge or ability to program industrial robots and PLCs - Experience with stepper motors and writing stepper motor drivers - Experience with industrial automation protocols (Ethernet/IP,Profinet, EtherCAT, Modbus and CAN Open) ABOUT US Magswitch is a global leader in magnetic lifting solutions. We design and manufacture advanced magnet technologies that help industrial and automation customers improve material handling safety and efficiency. Our products are widely used in automotive assembly and other heavy-industry automation applications with manufacturing operations worldwide. Compensation and Benefits We offer a highly competitive compensation package designed to support your health, well-being, and financial security. Our comprehensive benefits include: Medical, dental, and vision insurance Retirement plan with 401(k) matching Paid time off Paid leave programs Health Savings Account (HSA) Flexible Spending Account (FSA) Basic and Voluntary Life insurance Short- and Long-term disability insurance Employee Assistance Program (EAP) Employee referral program Tuition reimbursement In accordance with Colorado law, the salary range disclosed for this role represents a good-faith estimate of the base compensation. Actual compensation will be based on factors such as experience, skills, and qualifications. Magswitch is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, genetic information, or any other protected characteristic. We comply with all applicable federal, state, and local nondiscrimination laws in every location where we operate. This policy applies to all aspects of employment, including recruitment, hiring, placement, promotion, compensation, benefits, training, and termination.

Honda Development & Manufacturing of America, LLC is seeking a Senior Software and System Development Engineer I to design, build, and optimize software and embedded systems that power advanced automotive manufacturing and products. In this engineering-driven, hands-on role, you will collaborate with cross-functional teams to define requirements, architect solutions, and implement robust, scalable software that improves quality, safety, and efficiency across vehicle and powertrain operations. Responsibilities include system and software design, coding, integration, testing, troubleshooting on the plant floor, and continuous improvement aligned with "The Honda Way." You will work with modern tools, automation, and diagnostics to support innovation and sustainable mobility while growing your career in a global, quality-focused organization. Responsibilities Design, develop, and enhance software and embedded systems for automotive manufacturing and products. Collaborate with cross-functional engineering, manufacturing, and quality teams to define system requirements. Implement robust, scalable architectures and integration with plant and vehicle systems. Develop and maintain automation, tooling, and diagnostics to improve production efficiency and quality. Perform code reviews, testing, and validation to meet safety, reliability, and regulatory standards. Troubleshoot complex system issues in a hands-on manufacturing environment. Document designs, specifications, and technical reports for internal and external stakeholders. Support continuous improvement initiatives following lean and Honda engineering practices. Required Skills Embedded software development C/C++ programming Python or scripting languages Real-time and embedded operating systems Systems architecture and integration Industrial control or automation systems Software testing and validation Version control and CI/CD pipelines Networking and communication protocols Requirements analysis and documentation

What Makes a Honda, is Who makes a Honda Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of "power" that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize "the joy and freedom of mobility" by developing new technologies and an innovative approach to achieve a "zero environmental footprint." We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team. If your goals and values align with Honda's, we want you to join our team to Bring the Future! Job Purpose As a digital tools engineer, you will develop, deploy, and support digital solutions that improve engineering efficiency, automate repetitive activities, enhance data-driven decision making, and reduce development lead time across the Interior Development Division. Key Accountabilities Digital Solution Development Design, develop, test, deploy, maintain, and continuously improve digital tools using modern software development practices. Deliver solutions that automate engineering workflows, reduce manual effort, improve engineering quality, and shorten development cycle time. Examples: Layout check automation, drawing quality checks, specification validation, cost analysis automation, PIC dashboards, resource planning tools, knowledge retrieval agents Stakeholder Engagement & Deployment Collaborate across multiple departments with engineers, technical leaders, digital transformation teams, and end users to identify opportunities NM1.1 , gather requirements, perform user acceptance testing, deploy solutions, and ensure successful adoption. Documentation & User Enablement Create technical documentation, support materials, training content, and user guides necessary for deployment, maintenance, and long-term sustainability NM2.1 of digital solutions. Project Management Lead or support digital tool projects by defining scope, maintaining schedules, coordinating activities, tracking progress, and communicating status to stakeholders. Personal Development Proactively identify opportunities to improve engineering processes, evaluate emerging technologies NM3.1 digital resources and technologies, and expand technical expertise through self-development, training, and industry best practices. Qualifications, Experience, and Skills A Bachelors level degree in Software Engineering / Computer Science / Computer Information Systems / Information Technology, / Mechanical, Aerospace / Automotive Engineering; or equivalent combination of academics relevant industry experience At least 3 or more years of relevant industry experience Other preferred experience: o Developing engineering automation tools o Power Platform o Working with SharePoint APIs o Applying AI/LLM solutions o Developing dashboards and analytics Must have scripting expertise in Python and JavaScript Highly desired software development expertise in OOP (e.g. - C++ / Java) Microsoft ecosystem: PowerApps (PowerBI, Power Automate), CoPilot Studio Sharepoint Governance and Site Administration skills Past experience with configuring tools and templates for CAD software (CATIA V6 preferred) Desirable: Data and AI: AI-assisted development, LLMs, Data modelling, API integration Must be proficient in use of Microsoft Office programs Ability to understand product development and engineering data workflows Aptitude for studying mechanical design Workstyle This is an onsite job. One remote workday per week may be possible with prior departmental approval. Travel requirements: 10% Overtime (0 5 hrs / workweek) or, as required Visa sponsorship issues This position is not eligible for work visa sponsorship. What differentiates Honda and make us an employer of choice? Total Rewards: Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) Paid Overtime Regional Bonus (when applicable) Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) Paid time off, including vacation, holidays, shutdown Company Paid Short-Term and Long-Term Disability 401K Plan with company match + additional contribution Relocation assistance (if eligible) Career Growth: Advancement Opportunities Career Mobility Education Reimbursement for Continued Learning Training and Development programs Additional Offerings: Tuition Assistance & Student Loan Repayment Lifestyle Account Childcare Reimbursement Account Elder Care Support Wellbeing Program Community Service and Engagement Programs Product Programs Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.

Job Description Job Description About the Role FES is seeking a Senior DDC Engineer / Programmer with deep technical expertise in building automation and control systems. This is a hands-on leadership role that combines advanced programming, field commissioning, and project delivery with mentoring and client-facing responsibilities. You'll lead complex projects, provide technical direction to technicians, and collaborate closely with engineering, construction, and service teams to deliver reliable, high-performance control solutions. Key Responsibilities Collaborate with the Engineering Department to review and advise on control drawings and project submittals. Program, integrate, and commission DDC systems and field devices across multiple platforms. Ensure accurate operation of all building control sequences, alarms, trends, and archives. Develop and implement custom graphics for end-user interfaces. Train and mentor DDC technicians and provide system training for clients. Integrate BAS with third-party building systems (e.g., chillers, generators, lighting). Troubleshoot complex system and network issues (BACnet IP, MS/TP, LAN/WAN). Read and interpret mechanical drawings, sequences of operation, and specifications. Prepare and deliver as-built documentation and support project turnover. Support both on-site commissioning and remote diagnostics as needed. Company Description Facility Engineering Services is a growing company with business interests in HVAC mechanical service, automatic temperature controls installation, and DDC service. We are a market leader in the Baltimore/Washington metropolitan area and have involvement in projects worldwide. Company Description Facility Engineering Services is a growing company with business interests in HVAC mechanical service, automatic temperature controls installation, and DDC service. We are a market leader in the Baltimore/Washington metropolitan area and have involvement in projects worldwide.

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 Location: Remote (US) Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. 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. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent . click apply for full job details

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 Applied AI 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 Applied AI Engineer, you will serve as the technical linchpin for applied AI on the team, bringing deep hands-on expertise in designing and operating production LLM systems 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 AI systems - spanning code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability - 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 production LLM 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 - and the AI systems built on it - 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 and AI-powered application layers - from feature scoping through implementation. Build prototypes to de-risk novel AI approaches and establish the standards others build on. 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). Production LLM Systems: Deep hands-on experience designing and operating production LLM systems. AI Systems Expertise: Demonstrated expertise across code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability. 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. Domain Expertise: Strong distributed-systems, API, security, and reliability foundations, with 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. 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 Compilers & Program Analysis: Experience with compilers, program analysis, formal or executable specifications, or legacy modernization is strongly preferred. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. 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 $200,000-$350,000 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. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process . click apply for full job details

Job Description Job Description ABOUT ROCKET LAB Rocket Lab is the end-to-end space company building rockets, spacecraft, and critical subsystems that keep the world connected, protected, expand humanity's reach to the Moon, Mars, and beyond. We move fast, build real hardware for meaningful missions, and make the impossible routine. Come shape the future with us. SPACE SYSTEMS At Rocket Lab, we're not just launching rockets - we're building the future of space. Our Space Systems team builds everything from complete spacecraft, precision payloads to the components and subsystems that allow them to thrive in space, like solar panels, flight software, star trackers, optical systems, separation systems, radios, and more. Our Space Systems team has enabled more than 1,700 missions, ranging from interplanetary exploration, in-space manufacturing to national security and defense initiatives. The team has built spacecraft, payloads, and components for missions to the Moon and Mars, working with partners including NASA, the Space Development Agency, and the U.S. Space Force. Whether it's a single high-performance spacecraft, constellation, or the vertically integrated components that help them get to space - our world class Space Systems team is empowering some of the boldest and most ambitious space missions PRINCIPAL SPACECRAFT OPERATIONS ENGINEER II- SECRET CLEARANCE Based on site at Rocket Lab's headquarters in Long Beach, CA the PrincipalSpacecraft Operations Engineer is responsible for ensuring the health, safety, and optimal performance of a growing fleet of satellites while meeting mission objectives and SLAs for both commercial and government customers. This includes supporting diverse missions such as LEO constellations, interplanetary exploration, LEO rendezvous, and SDA-related deployments. Your expertise would be critical during commissioning, orbit raising, routine operations, and potentially re-entry phases, ensuring the health and safety of Rocket Lab's expanding fleet. The Spacecraft Operations team works closely with related teams, such as spacecraft design, AIT, flight software, propulsion, GNC, flight dynamics and ground software development to help improve both the ground and satellite-based capabilities over time. The space operations experience at Rocket Lab is unique because you will cover a multitude of roles/positions and responsibilities, with the large majority of the technical products being supplied through the vertical integration/in-house. WHAT YOU'LL GET TO DO: Serve as the program's mission operations technical lead: set the technical direction and strategy for operations, plan and prioritize the work of the mission operations staff, and act as the primary operations point of contact for program-level design decisions and trades Advocate for operability across the program: influence spacecraft and ground architecture upstream so vehicles are designed to be operated safely, efficiently, and autonomously, and push for changes to program design and execution when operational needs demand it Own mission operations requirements and lead requirements validation and verification for spacecraft missions and system-level capability and function Define the automation strategy and lead the development of robust, software-driven methods for mission operations, testing, and data analysis to ensure efficient, repeatable, and reliable spacecraft operation Design, develop, and test flight software sequences and FDIR/telemetry configurations to ensure spacecraft health and fault management through software-driven processes Architect, develop, and test ground software for long-duration operations, including scripting and automation frameworks that make operations robust, hands-off, and scalable across a growing fleet Establish and steward the integration, testing, and maintenance of mission operations tooling and codebases, including CI, version control, and release discipline. Ensure the on-call or shift schedules of operations Author and own interface specifications, CONOPS, contingency procedures, and other operational design documents Lead validation of flight products and procedures against spacecraft simulation tools, including flatsat, HITL, SIL, and digital twins Support AIT teams across multiple spacecraft integrated tests (TVAC, propulsion stack, DITL Provide program and product support to team leads and program managers, and serve as a key technical interface between the NZ and USA engineering teams Represent mission operations in program milestone reviews, design reviews, and readiness gates, and drive continuous improvement through post-mission lessons learned YOU'LL BRING THESE QUALIFICATIONS AS A PRINCIPALSPACECRAFT OPERATIONS ENGINEER: Bachelor's degree in engineering (software, computer, electrical, aerospace, mechanical, or other technical engineering discipline) 12+ years of direct experience in any of the following: space mission design, satellite subsystems, ground systems, spacecraft command control, or spacecraft operations 5+ years of experience leading teams of engineers through spacecraft missions or related aerospace projects Previous experience in roles such as Mission Lead, Mission Director, Flight Director, or Senior Spacecraft Operations Engineer Previous experience supporting mission operations activities in an on-console or operator-in-the-loop capacity Thorough understanding of key spacecraft subsystems and associated components, including attitude determination and control systems (ADCS), electrical power systems (EPS), space-to-ground communications, command and data handling (C&DH), thermal control systems (TCS), spacecraft propulsion systems, and fault detection, isolation, and recovery (FDIR) Understanding of the space environment, orbital mechanics, and rigid body dynamics 5+ years of direct software development experience (Python/Ruby/C/C++/other high-level languages), covering items such as spacecraft onboard flight scripts, ground scripting and automation, and data manipulation and analysis US citizenship is required due to program requirements Active U.S. Government Secret Security Clearance THESE QUALIFICATIONS WOULD BE NICE TO HAVE: Master's or PhD engineering in engineering (software, computer, electrical, aerospace, mechanical, or other technical engineering discipline) Prior experience in spacecraft operations Prior experience in satellite system design Prior experience in satellite ground systems Exposure to modern development practices - GIT, CI/CD, cloud infrastructure Proficiency with Agile issue-tracking tools, specifically Jira, for mission task management, status tracking, and bug reporting Software-in-the-Loop (SIL) Testing: Exposure to testing frameworks that simulate software behavior in operational environments. Hardware-in-the-Loop (HIL) Testing: Familiarity with testing frameworks that integrate software and hardware systems. Active TS/SCI U.S. Government Security Clearance This position may require prolonged periods of sitting, standing, walking, computer work, and occasional exposure to moderate levels of noise, dust, and fumes in production areas Anticipated annual equity grant value is designed around function, level, experience, and other factors; realized value depends on vesting and stock-price performance. Join one of the world's fastest-growing space companies and own a piece of it. In addition to competitive base pay, you'll receive company stock as part of your total compensation package, giving you a direct stake in our success. As we expand to new launch sites, groundbreaking missions, and global markets, your ownership has the opportunity to grow alongside the company. Our comprehensive benefits package includes our industry-leading Employee Stock Purchase Program (with a 15% discount on company stock), top-tier medical plans (HMO, PPO, and a zero cost HDHP option with a significant HSA company contribution), dental and vision coverage, paid vacation and sick time, 11 paid holidays, flexible spending and dependent care accounts, paid parental leave, disability and life insurance, and a 401(k) retirement plan with company match. Additional perks include subsidized EV charging, onsite fitness centers (where available), discounted gym memberships, complimentary snacks and beverages, 50% employee discount on our popular merch store, and a variety of other employee discounts. Level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Total Compensation (base and equity) $223,025-$339,400 USD Base Salary $173,300-$259,850 USD WHAT TO EXPECT We're on a mission to unlock the potential of space to improve life on Earth, but that's not an easy task. It takes hard work, determination, relentless innovation, teamwork, grit, and an unwavering commitment to achieving what others often deem impossible. Our people out-think, out-work, and out-pace. We pride ourselves on having each other's backs, checking our egos at the door, and rolling up our sleeves on all tasks big and small. We thrive under pressure, work to tight deadlines, and our focus is always on how we can deliver, rather than dwelling on the challenges that stand in the way. Important information: . click apply for full job details

Job Description Job Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . What You'll Do: CoreWeave's Network Security team ensures network infrastructure is secure, resilient and compliant. Our team partners with engineering, product teams, and partners to build secure network solutions that protect critical infrastructure and continuously improve the security posture to meet the needs of our customers. With our growing reliance on connected technology, the need to keep critical systems secure, reliable, and resilient has never been more important. We are seeking an OT Security Engineer to join our team and play a pivotal role in safeguarding the operational technologies that support our datacenter networks. About the role: This position offers a unique opportunity to work at the crossroads of cyber security, operational technology (OT), engineering, and datacenter operations. As the network security engineer responsible for our operational technology networks, your responsibilities will include identifying and evaluating cybersecurity risks, designing and launching pragmatic security solutions, and embedding security controls directly into the operational systems and technologies supporting our infrastructure. You will work with suppliers and third parties in benchmarking their capabilities against expectations and industry standards. You will also lead efforts in partnering with peer security teams and partners in production engineering as you lead continuous improvement of security posture for operational technology network environments and the devices connected. This role requires both depth in understanding network security, and breadth of knowledge of the unique challenges that face the industry in securing the infrastructure that is the foundation of modern datacenters. You will act as a trusted partner who goes beyond advisory work to roll up your sleeves and deliver. Some things you will work on: Establishing standards for security expectations covering all operational technology networks and devices connected to them. This will include network segmentation, host isolation, network traversal controls, and remote connectivity. Providing solutions to complex security issues, manage multiple tasks, and prioritize effectively in a fast-paced environment. Creating an inventory and risk register that can be used as a baseline in understanding near term and long term objectives. Partnering with production engineering and business development teams evaluating priorities for risk reduction in current deployments, and risk avoidance by evolving standards for future growth. Executing and partnering with other parties in using penetration testing to evaluate effectiveness of existing controls. Coordinating with third parties and internal teams in addressing vulnerabilities via mitigation, isolation or other strategies to protect critical infrastructure in these environments. Researching industry risks and drive change in operational networks to continuously reduce risk Developing and test recovery models and response playbooks to handle compromise scenarios. Presenting technical security information to both technical and non-technical audiences, including external partners. Maintain technical documentation, reports, and security tooling with attention to detail. Who You Are: 5+ Years of experience in network infrastructure security (firewalls, ACLs, architecture, risk management) in a global network environment. Proficiency in at least one programming or scripting language (e.g., Go, Python, C/C++) for automation, code reviews, and tooling. Bachelor's degree in Computer Science or related field. Relevant certifications such as CISSP, CCNP, PCNSE are advantageous. Experience with operational technology networks (factory or industrial systems, building management systems, power, physical security systems, remote access, HVAC, etc.), factory networks or other similar environments. Strong technical knowledge of network firewalls, virtual private networks, network segmentation, and defense in depth. Able to navigate ambiguity, identify root causes, and solve complex security problems. Excellent written and verbal communication skills with strong technical documentation abilities. Capable of working independently while managing multiple priorities in a fast-paced environment. Strong desire to continuously learn and adopt new technologies and security techniques. Preferred: Prior experience with operational technology networks that span global locations Experience with the range of obscure solutions that are often deployed on operational technology networks. Deep understanding of business-wide security best practices and implementation strategies. Experience with network automation, agentic network tooling, and incident response automation. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You love to solve problems that few others would tackle. You're curious about critical network infrastructure that is the foundation of modern data centers. You're an expert in network security with a passion to explore the more exotic nature of operational technology. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $164,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . . click apply for full job details

Job Description Job Description The Elevator Pitch Are you ready to own the network and cybersecurity backbone of a company that's redefining security technology? Do you thrive at the intersection of network engineering, cybersecurity operations, and compliance-where your work directly reduces risk and keeps the business resilient against an ever-changing threat landscape? Evolv is seeking a Network & Cybersecurity Engineer to design, implement, and defend our network infrastructure and security tooling. You'll be the technical owner of Evolv's network and security posture-from firewalls and access control to identity governance and threat detection-reporting to the Senior Director of Cybersecurity & Technology. This is a pivotal role in maturing Evolv's security program to meet the evolving demands of the business and our growing compliance obligations. You'll partner closely with the Systems Engineer and the rest of the IT team, and serve as the subject matter expert on networking, enterprise cybersecurity, and compliance tooling. If you're energized by staying ahead of emerging threats and building durable, well-governed security controls, this role is for you. Success in the Role: What are performance outcomes over the first 6-12 months you will work toward completing? In the first 30 days, you will: Get to know the IT and security team and the tools/platforms currently in use Start building relationships with key stakeholders across the company, especially R&D and Legal/Compliance Learn Evolv's compliance commitments and ongoing authorization efforts, and how best to support them Gain familiarity with the current network/security toolstack: firewalls (Palo Alto), switching (Cisco/Meraki), NAC, VPN/ZTNA, identity platforms (Okta, Entra ID), SIEM/EDR/DLP tooling, and the MDR relationship Within 3 months, you will: Begin implementing or improving network and security controls that measurably reduce risk Build trust-based relationships with peers in IT and stakeholders across business units Become the established subject matter expert on network security and compliance tooling at Evolv Take ownership of the MDR relationship and escalated detection response By the end of the first year, you will: Be recognized as the trusted subject matter expert across network infrastructure, and security operations Have driven measurable improvements to Evolv's security posture and compliance readiness Successfully supported compliance requirements and audit readiness, partnering closely with Legal/Compliance and R&D Documented network and security architecture, processes, and runbooks that reduce single points of failure Be seen as the go-to resource for network security questions, escalations, and best-practice guidance The Work: What type of work will you be doing? What assignments, requirements, or skills will you be performing on a regular basis? Infrastructure, Security & Compliance: Design, implement, and maintain network infrastructure: firewalls (Palo Alto), switching (Cisco/Meraki), NAC, and VPN/ZTNA solutions Administer identity and access: Okta/Entra ID, Conditional Access policies, MFA enforcement, identity lifecycle management, and IGA Own security tooling and controls: SIEM, EDR, DLP, and vulnerability management, aligned to CIS Controls, NIST CSF, and other relevant compliance frameworks Manage the MDR relationship and respond to escalated detections Drive the IT process and policy redesign required to meet current compliance requirements, and to support additional frameworks as those efforts come online, in partnership with Legal/Compliance Harden AWS/Azure environments from a security perspective: IAM least-privilege, VPC/network security, Azure Policy Provide front-line escalation support and mentoring to IT teammates; maintain runbooks and documentation Assess technology and network risk across the company and recommend remediations Leadership, Team Structure & Culture You will join the IT organization as a direct report to the Senior Director of Cybersecurity & Technology, working alongside a Systems Engineer peer who owns day-to-day systems and endpoint operations. This is a hands-on, collaborative team that takes security and operational excellence seriously. This is a senior individual contributor role focused on deep technical impact-your job is to own and mature Evolv's network security and cybersecurity posture through the systems, controls, and automation you build. You'll have meaningful autonomy over how you approach problems and are actively encouraged to bring creative solutions, identify improvement opportunities, and advocate for better ways of working. You'll work alongside teammates who share your drive for continuous improvement, and you'll have a manager who values initiative, trusts the team to execute, and wants to hear your ideas. Where is the role located? This role is based out of Evolv HQ in Waltham, Massachusetts. This is a hybrid role with an expectation of 3 days per week on-site. Fully remote candidates will not be considered. Compensation and Transparency Statement The base salary range for this full-time position is $102,000-$166,000. In addition to base salary, this role offers a competitive target bonus, equity, and a comprehensive benefits package. This range reflects our commitment to pay transparency and equity, in alignment with applicable state laws. Our compensation ranges are determined based on factors such as role, level, location, market benchmarks, and internal equity. The posted range represents the good-faith estimate of what we expect to pay for this role across U.S. locations. Actual compensation within the range will be based on the candidate's skills, experience, education, and geographic location. In accordance with state and local pay transparency laws-including those in California, Colorado, Massachusetts, New York, New Jersey, and others-we disclose salary ranges in all job postings and provide additional information upon request. During the hiring process, your recruiter will share: •The specific salary range for your preferred location •A general overview of our benefits and equity offerings •Insights into how compensation decisions are made, including factors that influence starting pay We are committed to fair pay practices, and we regularly review our compensation programs to ensure they are competitive, equitable, and aligned with our values. Benefits At Evolv, we're on a mission to help make public spaces safer through innovative security technology. So, we're looking for future teammates who embody our values, people who: Do the right thing, always; Put people first' Own it; Win together; and continue to Be bold, stay curious. Our Benefits Include : Equity as part of your total compensation package Medical, dental, and vision insurance Health Savings Account (HSA) A 401(k) plan (and 2% company match) Flexible Paid Time Off (PTO)- take the time you need to recharge, with manager approval and business needs in mind Quarterly stipend for perks and benefits that matter most to you Tuition reimbursement to support your ongoing learning and development Subscription to Calm Evolv Technology ("Evolv") is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. We welcome and encourage diversity in the workplace, and all employment decisions are made without regard to race, color, religion, national, social or ethnic origin, sex (including pregnancy), age, disability, HIV Status, sexual orientation, gender identity and/or expression, veteran status, or any other status protected by law in the locations where we operate. Evolv will not tolerate discrimination or harassment based on any of these characteristics. Evolv is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. If you need a reasonable accommodation as part of the job application process, please connect with us at . Evolv participates in E-verify for all employees after the completion of Form I-9.

Job Description Job Description Benefits: HYBRID Competitive salary Opportunity for advancement Network Security Engineer Fort Collins, CO (Hybrid) Type: Contract (C2C) Interview Mode: Virtual Seeking a senior Network Security Engineer to lead firewall modernization, VPN transformation, zero-trust implementation, and enterprise vulnerability management across enterprise lab environments. This role supports secure, scalable, and compliant next-generation infrastructure platforms. Core Responsibilities : Firewall & Network Security Architecture Configure and optimize enterprise firewall platforms (physical and virtual) Design rule sets, traffic policies, and network segmentation Implement micro-segmentation and zero-trust architecture Align firewall policies with modern security frameworks VPN & Secure Access Transformation Replace legacy OpenVPN environments with OKTA/Atmos-based VPN solutions Build and manage Atmos connectors Implement secure authentication workflows Design secure routing and hybrid access policies Vulnerability Management Design and implement enterprise vulnerability scanning programs Deploy and manage tools such as Nessus or Greenbone Configure scan schedules and tune scan noise Deliver actionable security reports Drive remediation workflows with engineering teams Security Segmentation & Compliance Design security-driven network segmentation strategies Enforce access controls aligned to compliance and corporate standards Partner with corporate security teams on policy implementation Linux & Security Automation Deploy Linux-based security tooling platforms Automate scanning, reporting, and remediation workflows Script security processes and integrations Required Skills: Enterprise firewall configuration and optimization VPN technologies and secure remote access solutions Zero-trust and micro-segmentation principles Vulnerability scanning tools (Nessus, Greenbone, or similar) Security compliance scanning and remediation Linux system administration and automation Nice to Have: OKTA integrations and identity-based access systems SIEM and security monitoring platforms Automation frameworks and API integrations Flexible work from home options available.

Job Description Job Description Zoox's Network Security team architects and defends the digital borders of the company - from corporate offices to engineering labs and product/mission environments. As a Network Security Engineer, you will design, implement, and operate security controls across Zoox's enterprise, OT networks, and cloud infrastructure spanning on-premises data centers and public cloud environments (AWS, GCP), partnering closely with Network Engineering, IT, Product Security, and Software Engineering teams. In This Role, You Will Design, implement, and maintain secure hybrid/multi-cloud network architectures (AWS/GCP, CloudWAN); enforce zero-trust access controls and network segmentation across corporate, data center, lab, and edge environments; develop and maintain related policies, standards, and architecture diagrams Own and operate next-generation firewall platforms (Palo Alto Networks, Fortinet), managing policy architecture, segmentation, NAT, URL filtering, SSL/TLS decryption, and threat prevention tuning Architect, operate, and own the lifecycle of secure remote access solutions (VPN, ZTNA, site-to-site tunnels), ensuring high availability, certificate-based authentication, and integration with identity providers (SAML, Entra ID) Drive automation and Infrastructure-as-Code (IaC) using Terraform, Python, CI/CD, and REST APIs for configuration management, firewall policies, and security baselines; integrate LLM-based tools to streamline operational tasks and reduce manual toil Oversee security operations including 24/7 network security monitoring, traffic analysis, threat detection, vulnerability assessments, and remediation; support compliance requirements by conducting security reviews for new projects and infrastructure changes Drive 802.1X/certificate-based Network Access Control (NAC) initiatives across wired and wireless environments Collaborate with team members and contribute to cross-functional security initiatives with Product Security, SRE, IT, and Software Engineering teams Qualifications 6+ years of network security engineering experience securing enterprise, cloud, and OT/lab environments Platform Expertise: Deep, hands-on expertise in next-gen firewalls (Palo Alto, Fortinet), AWS NFW, WAFs, IDS/IPS, NAC/802.1X, PKI, VPN, and ZTNA solutions (Zscaler, Netskope, Prisma Access, or equivalent) Technical Knowledge: Strong understanding of core network protocols (TCP/IP, BGP, OSPF, VLAN, 802.1X, TLS/PKI) and cloud networking security principles (AWS, GCP, or Azure) Automation: Hands-on experience with IaC and automation tooling including Terraform, Python, CI/CD pipelines, and REST APIs Security Operations: Experience with network security monitoring, threat detection, and security operations tooling (SIEM, IDS/IPS, vulnerability management platforms), including integration with network controls Compliance: Proven experience supporting major compliance initiatives (NIST 800-53, CSF 2.0, ISO 27001), including control implementation and evidence collection Bonus Qualifications Experience in autonomous vehicle, robotics, IT/OT or automotive environments Certifications: PCNSE, AWS Security Specialty, CCNA Experience experimenting with or deploying AI/ML-based security capabilities (e.g., anomaly detection, behavioral analytics, LLM-driven copilots) in network or cloud security workflows There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. 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.

Job Description Job Description Who we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy - a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators and problem solvers to help us create it. Who you are Metropolis is seeking a Senior Security Engineer to establish and lead a dedicated infrastructure and network security engineering function within our Corporate IT and Information Security organization. In this senior technical role, you will design, build, and manage a dedicated AWS environment to power our security tooling, automation, and operational infrastructure, while also supporting our expanding Oracle Cloud Infrastructure footprint. You will drive enterprise network security initiatives-including firewalls, segmentation, WAF technologies, and zero-trust architectures-to protect our corporate office networks and remote access environments. Collaborating closely with Corporate IT, Network Engineering, Central Cloud Infrastructure, and platform engineering teams, you will deliver resilient security infrastructure that safeguards our expanding technology ecosystem. What you'll do Design, build, and manage a dedicated AWS environment owned by Corporate IT and Information Security to support security tooling, automation, and operational workloads Support Oracle Cloud Infrastructure environments as part of broader enterprise transformation initiatives Lead enterprise network engineering and network security initiatives across corporate office networks, firewalls, segmentation, and wireless environments Implement and manage VPN, remote access, WAF technologies, and secure connectivity architectures Drive zero-trust initiatives and enhance enterprise network visibility and monitoring Manage identity, access, endpoint, and server security platforms across the enterprise Develop infrastructure-as-code and cloud automation to scale security operations infrastructure Execute vulnerability management programs and establish enterprise infrastructure hardening and operational resiliency Provide detection engineering and incident response support across security platforms Partner closely across Corporate IT, Network Engineering, Central Cloud Infrastructure, Enterprise Systems, and platform engineering teams What we're looking for Demonstrate strong AWS and cloud security experience Exhibit strong networking and network security experience Show experience with enterprise identity systems and access management Display experience with security engineering infrastructure and automation Support hybrid enterprise and cloud-native environments Utilize modern infrastructure and security tooling Maintain familiarity with regulated environments such as PCI and SOC Possess experience with scripting and programming Experience leveraging AI tools to transform static workflows into responsive, high-output processes While not required, these are a plus: Use Python as the preferred language for scripting and programming 4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $165,000.00 USD to $215,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job Description Job Description Antora Energy delivers affordable, reliable energy to industry, data centers, and the grid. Our thermal batteries turn low-cost electricity into always-on heat and power, without supply-constrained critical minerals or multi-year construction timelines. We are growing our company with people who put team and mission first, value connection through laughter and joy, and work with humility and openness. We are committed to building a diverse, passionate, and creative team dedicated to a future powered by abundant, clean, low-cost energy. Position Summary We are seeking a Staff or Principal Applications Engineer to establish Antora's applications engineering function - the senior technical authority for the customer opportunities that don't fit a standard template. Antora's standard configurations run through repeatable tools and playbooks operated by our business development team; you will own everything that doesn't: the first-of-a-kind applications, constrained sites, and novel configurations of Antora's thermal batteries across industrial process heat and utility-scale power for data centers and the grid, in the U.S. and internationally. When we dive into a new customer application, you are the engineer who joins the first call, earns the trust of senior customer technical leadership, and creatively develops the solution around Antora's product: running technical discovery, sizing and configuring the system, producing conceptual site layouts and heat and power integration designs, setting the technical basis for performance guarantees, and building the cost estimates behind commercial contracts and investment decisions, then handing a clean basis of design to our project engineering team for detailed design and execution. You are also the technical conscience on what Antora commits to, with the standing and judgment to hold the line on feasibility, schedule, and performance so we win deals we can actually deliver. This role will report to the VP of Product Management within Antora's Commercial team. Roles & Responsibilities Serve as the technical lead for Antora's most complex and novel customer opportunities across industrial heat, combined heat & power, and power applications - joining business development on sales calls and owning the technical conversation with customer engineering/operations teams and executives Run technical discovery on novel applications: own customer data requests (load profiles, steam conditions, utility data, plot plans, one-lines) and site walkdowns, and lead first-pass technical screening where no playbook exists Size and configure Antora's product at the edges of its configurable envelope (and beyond), creatively optimizing trade-offs across performance, cost, schedule, and site constraints Produce conceptual site layouts, heat and power integration designs, and site boundary-condition definitions Own configuration of complex customer, grid, and project interfaces for novel applications - including, but not limited to, controls integration, product-side electrical configuration, product-to-interconnection handoff, cybersecurity requirements, and energy market operations coordination Own performance-guarantee assumptions and proposal-stage analysis/cost estimates for commercial contracts and internal approvals with clear judgment on execution and economic impact Prepare basis-of-design handoff packages (configuration specs, layouts, integration concepts, assumptions, and risks) that enable project engineering to pick up projects cleanly for detailed design (FEED and beyond) Partner closely with product management to co-define where the standard product envelope ends and bespoke applications work begins, and keeping executive stakeholders aligned on what we're committing to Act as the technical escalation point and reviewer for the sales engineers who run standard opportunities - mentoring them and together with product management, setting the technical standards they work to Channel voice-of-customer and market intelligence back to product management to drive product changes that improve performance, customer satisfaction, and addressable market Codify design judgment into playbooks, reference designs, and design rules, partnering with software, analytics, and product management to turn them into tools and standard product requirements where applicable Typical travel of 25%, potentially including some international travel Key Qualifications Bachelor's or equivalent in mechanical, chemical, or electrical engineering (or related field) and 12+ years of experience (or 8+ with a relevant advanced degree) across utility-scale energy projects, large industrial facilities, and/or energy equipment applications Experience leading first-of-a-kind industrial and power projects, including managing executive stakeholders in external organizations Deep expertise in power systems (MV/HV electrical, synchronous and inverter-based resources, grid interconnection) with working fluency in industrial process/thermal systems (steam and utility systems, heat integration) - or the reverse - with genuine depth on at least one side and the range to engage customer engineers credibly in both Experience with energy storage and/or utility-scale energy projects, including site layout and equipment configuration Familiarity with the codes and standards governing industrial energy facilities - NFPA, NEC, ASME, API, UL, etc. Comfortable producing and reviewing PFDs, one-line diagrams, and site layout drawings Strong techno-economic intuition and commercial judgment - instinctively connects configuration trade-offs and performance guarantees to project economics Exceptional customer-facing communication and presentation skills AI-fluent: high level of comfort with leading AI tools (Claude, ChatGPT, Gemini, etc.) and strong instincts for which workflows to automate Self-directed operator who thrives owning a small number of deep, high-stakes projects in a fast-paced startup environment Additional Qualifications Desired Experience spanning both thermal/process and power/grid project environments Direct experience with data-center power, microgrids, or hybrid solar-plus-storage systems Prior applications, sales, or solutions engineering role at an energy technology OEM Solid understanding of energy market fundamentals and battery dispatch or techno-economic modeling Python proficiency Experience working with or for EPC firms Familiarity with industrial controls/SCADA integration and operational-technology (OT) cybersecurity Experience working on projects in international markets (particular preference for EU and Australia) Familiarity with European and/or Australian codes and standards Experience building commercial tools and automations PE license in a related discipline Work Location: Remote, US Salary Range: $175,000 USD - $240,000 USD Salary Basis: Annual Please note that the salary range listed above reflects Antora Energy's estimated pay for this position. The actual salary offered will be within the posted range and determined based on several factors including but not limited to a candidate's experiences, credentials and expertise, as they pertain to the position's requirements. In addition to a competitive base salary, Antora Energy's Total Rewards program includes equity compensation in the form of stock options, a premium health benefits package with life and disability insurance, a 401K plan with employer contributions, flexible spending accounts, and an industry leading paid-time-off policy that features flexible and inclusive holiday observance, as well as paid volunteer time off. When it comes to stopping climate change, we need everyone. We believe that having a diversity of backgrounds and experiences strengthens all of us, and we strive to create an environment where every one of us is empowered to create meaningful change.

Job Description Job Description Who we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy - a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators and problem solvers to help us create it. Who you are Metropolis is seeking a Senior Security Engineer to establish and lead a dedicated infrastructure and network security engineering function within our Corporate IT and Information Security organization. In this senior technical role, you will design, build, and manage a dedicated AWS environment to power our security tooling, automation, and operational infrastructure, while also supporting our expanding Oracle Cloud Infrastructure footprint. You will drive enterprise network security initiatives-including firewalls, segmentation, WAF technologies, and zero-trust architectures-to protect our corporate office networks and remote access environments. Collaborating closely with Corporate IT, Network Engineering, Central Cloud Infrastructure, and platform engineering teams, you will deliver resilient security infrastructure that safeguards our expanding technology ecosystem. What you'll do Design, build, and manage a dedicated AWS environment owned by Corporate IT and Information Security to support security tooling, automation, and operational workloads Support Oracle Cloud Infrastructure environments as part of broader enterprise transformation initiatives Lead enterprise network engineering and network security initiatives across corporate office networks, firewalls, segmentation, and wireless environments Implement and manage VPN, remote access, WAF technologies, and secure connectivity architectures Drive zero-trust initiatives and enhance enterprise network visibility and monitoring Manage identity, access, endpoint, and server security platforms across the enterprise Develop infrastructure-as-code and cloud automation to scale security operations infrastructure Execute vulnerability management programs and establish enterprise infrastructure hardening and operational resiliency Provide detection engineering and incident response support across security platforms Partner closely across Corporate IT, Network Engineering, Central Cloud Infrastructure, Enterprise Systems, and platform engineering teams What we're looking for Demonstrate strong AWS and cloud security experience Exhibit strong networking and network security experience Show experience with enterprise identity systems and access management Display experience with security engineering infrastructure and automation Support hybrid enterprise and cloud-native environments Utilize modern infrastructure and security tooling Maintain familiarity with regulated environments such as PCI and SOC Possess experience with scripting and programming Experience leveraging AI tools to transform static workflows into responsive, high-output processes While not required, these are a plus: Use Python as the preferred language for scripting and programming 4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $215,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.