Member, Technical Staff jobs at Nutanix

Description:Who You Are: Here, you are going to provide life-cycle services to advance mission in support of Cybersecurity and SIGINT midpoint collection. • You will modernize and sustain capabilities to include providing new features and enhancements to Front End Solutions systems. This will allow for products to work at-scale with processing of target communications across multiple types of Midpoint accesses. • You will propel the customer into the next phase of product suite modernization by leveraging advancements in technologies such as containerization, cloud capabilities, dataflows, and Artificial Intelligence/Machine Learning (AI/ML) capabilities. The Work: We are seeking professionals interested in a variety of responsibilities including; • Software development / • Software engineering For a complete list that changes weekly, use this term to search via the Lockheed Martin jobs website: #RMSRB2025 Come join a company with incredible breadth and depth in the nature of programs and technologies we support that will never leave you bored or looking for your next assignment. Stop having to look for a new job with every rumor and whim of contract changes. What We're Doing: Lockheed Martin, Cyber & Intelligence invites you to step up to one of today's most daunting challenges: the use of advanced electronics to undermine our way of life. As a cyber security professional at Lockheed Martin, you'll protect the networks that our citizens and the world depend upon each minute: Financial assets. Healthcare information. Critical infrastructure. Hazardous materials. The uninterrupted flow of energy that keeps modern life moving. Here, you'll work with cybersecurity experts on the forefront of threat protection and proactive prevention. In this fast-paced, real-world environment, you'll draw on all your education and experience as well as the resources of Lockheed Martin to keep the threats at bay. Cyber | Lockheed Martin Who We Are: Are you driven by the excitement of harnessing the latest advancements in artificial intelligence, machine learning, and data analytics to revolutionize the way we approach complex challenges? Do you find satisfaction in developing innovative solutions that leverage the power of technology to stay ahead of the curve? If so, join Lockheed Martin's team, where we're pioneering the modernization of technology and pushing the boundaries of what's possible. Our team is dedicated to pioneering the latest advancements and we're looking for someone who shares our commitment to excellence and innovation. Why Join Us: Your Health, Your Wealth, Your Life Our flexible schedules, competitive pay and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. Learn more about Lockheed Martin's competitive and comprehensive benefits package. We support our employees, so they can support our mission. Plus, you may be eligible for up to a $25K sign on bonus as an external hire! We are proactively recruiting for a future need, with the expectation of a 2025 or early 2026 start date. This requisition is being used for contingent offers. #RMSC6ISR #OneLMHotJobs #RMSRB2025 Basic Qualifications: • Current DoD Top Secret SCI with Polygraph SWE3: • A High School Diploma or GED plus twenty-six (26) years of general software engineering experience OR • A Bachelor's degree in Computer Science or related discipline from an accredited college or university, plus twenty (20) years of software engineering experience. Desired Skills: Capabilities; • Analyze user requirements to derive software design and performance requirements • Debug existing software and correct defects • Provide recommendations for improving documentation and software development process standards • Design and code new software or modify existing software to add new features • Integrate existing software into new or modified systems or operating environments • Develop simple data queries for existing or proposed databases or data repositories • Write or review software and system documentation Knowledge or experience in the following; • DevOps, Automated testing and CI/CD pipelines in Git • Container and Container Management i.e. Ansible, Docker, Kubernetes and Rancher • Modern software languages such as Go/Golang and micro-service architecture development • C++20 or newer based on Boost (3 years) • Java (6 years) • Front End Development with Javascript and/or React or other frameworks • Python (3 years) • Linux Development Environment (5 years) • Circuit Switched and Mobile Telephony (7 years) • Reactor pattern architecture systems • Developing event stream processing systems • SQL (MySQL, MariaDB) and Elasticsearch • Dataflow tools and message queues • AI experience with regards to Human-Language Translation tools and techniques • RF algorithm development Clearance Level: TS/SCI w/Poly SP Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 9x80 every other Friday off Pay Rate: The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $177,500 - $313,030. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year. This position is incentive plan eligible. Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. Join us at Lockheed Martin, where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage, resilience and precision. They're dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those are the missions we care about. As a leading technology innovation company, Lockheed Martin's vast team works with partners around the world to bring proven performance to our customers' toughest challenges. Lockheed Martin has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories. Experience Level: Experienced Professional Business Unit: RMS Relocation Available: Possible Career Area: Systems Engineering: Software Type: Task Order/IDIQ Shift: First

Description:Space is a critical domain, connecting our technologies, our security and our humanity. While others view space as a destination, we see it as a realm of possibilities, where we can do more - we can innovate, invest, inspire and integrate our capabilities to transform the future. At Lockheed Martin Space, we aim to harness the full potential of space to cultivate innovation, reduce costs, and push the boundaries of what technology can achieve. We're creating future-ready solutions, focusing on resiliency and urgency through our 21st Century Security vision. We're erasing boundaries and forming partnerships across industries and around the world. We're advancing spacecraft and the workforce to fuel the next generation. And we're reimagining how space can connect us, ensuring security and prosperity. Join us in shaping a new era in space and find a career that's built for you. Space Protection Programs is seeking an experienced Software Engineer who can guide a team through complex mission software development lifecycle. Candidate must have the ability to take ownership of software development and software integration activities. The selected candidate will be responsible for frequent use and application of software engineering standards and techniques, including Object Oriented Design and Agile development techniques. This individual will guide software requirements development, architecture, design, implementation, and test. Candidate will work in a highly collaborative environment with frequent and direct interaction with various engineering disciplines and customers. Experience with C/C++, Python, and Linux OS, and Object-Oriented design is preferred. Strong ability to perform on a small highly skilled team in a dynamic environment. The preferred candidate must be able to work under limited direction and will be given considerable latitude in determining technical objectives and approaches. Candidate will be required to prioritize multiple tasks in a dynamic environment, adapt to change, and possess strong organizational and communication skills. In this role you will: • Participate in embedded software development, integration, and/or software test activities. • Lead in the architecture and detailed design of complex CSCs and CSCIs. • Be leading member of an Agile development team. Participate in Agile Release Planning, Sprint Planning, and guide agile development execution. As an experienced developer you'll provide peer leadership in the guidance and mentorship of agile methods to a multi-disciplined team of software and systems engineers. • Act as a role model for the team. Lead by doing. • Exercise considerable latitude in determining approaches to assignments. • Learn new tools independently. • Identify opportunities for improvement in current processes and implement new processes. Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. #LI-CS1 Basic Qualifications: • Ability to design software solutions to address complex problems • Embedded programming experience in C/C++ and Python. • Comfortable working in an Agile Scrum environment • Active TS Security Clearance Desired Skills: • Knowledge of embedded systems architectures and test experience using embedded systems. • Experience integrating complex software systems with high performance and/or timing constraints. • Prior knowledge of embedded and/or MPSoC architectures. • Demonstrated experience using the Agile methodology in the development, integration and test of complex software systems and environments. • Programming background in C/C++ and Python. • Experience with leading process improvement initiatives. • Experience with program lifecycle execution from concept phase through end-of-life phase. • Comfortable working in a fast paced and dynamic multi-disciplinary environment. #LMSpaceSoftwareEng #spaceembeddedsw Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration. Clearance Level: Top Secret Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 9x80 every other Friday off Pay Rate: The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $113,900 - $200,905. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year. This position is incentive plan eligible. Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications. Experience Level: Experienced Professional Business Unit: SPACE Relocation Available: Possible Career Area: Software Engineering Type: Full-Time Shift: First

Department: Research and Development / Engineering Reports to: President or CEO Employment Type: Full-time Optex Systems, Inc. headquartered in Richardson, Texas manufacturers optical sighting systems and assemblies primarily for the Department of Defense (DoD) applications and also manufactures and delivers numerous periscope configurations, rifle and surveillance sights and night vision optical assemblies. Optex delivers its products both directly to the military services and to prime contractors. These products have earned a reputation for world-class field performance. Additionally, we are expanding and making our products available to the commercial sector. We are currently seeking a highly experienced and technically proficient Technical Director with a strong background in opto-mechanical systems to lead strategic growth initiatives, develop customer relationships, and drive new business opportunities. The ideal candidate will blend deep engineering knowledge with market insight to expand our presence across key sectors including aerospace, defense, medical imaging, semiconductors, and photonics. Key Responsibilities: Technical Expertise: Translate customer requirements into technical solutions in collaboration with the engineering and R&D teams. Develop strategies for new products and solutions. Present complex opto-mechanical concepts to both technical and non-technical audiences. Stay informed on industry trends, emerging technologies, and competitive landscape. Customer Engagement: Act as the technical voice of the customer, ensuring their needs are understood and addressed in product development. Drive pre-sales and post-sales support in collaboration with engineering teams. Attend trade shows, conferences, and technical symposia to represent the company and gather market intelligence. Leadership & Collaboration: Collaborate with engineering, product management, and executive teams to align technology roadmaps with business goals. Mentor and guide junior team members in both technical and commercial aspects. Contribute to annual planning, forecasting, and revenue growth targets. Required Qualifications: Bachelor's or Master's degree in Mechanical Engineering, Optical Engineering, Physics, or a related field. 10+ years of experience in opto-mechanical systems with a minimum of 5 years in business development, sales, or customer-facing technical roles. Proven track record of managing multi-million-dollar projects. Deep understanding of optical and mechanical integration, alignment tolerances, material selection, and thermal/mechanical stability. Experience working with OEMs, defense primes, or research institutions. Strong presentation, negotiation, and communication skills. Willingness to travel domestically (~25%). Preferred Qualifications: Experience in regulated industries (ITAR, ISO 13485, ISO 9001, MIL-STD, AS9100etc.) Familiarity with optical simulation and CAD tools (e.g., Zemax, Code V, SolidWorks, Creo) Existing network in photonics, aerospace, or defense sectors. What We Offer: Competitive compensation + performance incentives Equity participation (if applicable) Comprehensive health, dental, vision, Life/AD&D, LTD, 401(k), HSA, PTO, Holiday Pay, etc. Opportunities for advancement in a growing high-tech organization Collaborative and innovation-driven culture Optex Systems is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: Optex Systems is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Optex Systems are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Optex Systems will not tolerate discrimination or harassment based on any of these characteristics.”

Job Title: Technical Director- AI Solutions & Transformation Why This Role Matters: Technical Director- AI Solutions & Transformation will shape the future of how IT works in a rapidly evolving AI landscape. By championing forward-thinking tools and practices, this leader will be instrumental in redefining how the enterprise builds, supports, and scales technology-and in accelerating the delivery of AI-enhanced solutions for clients. Purpose: Lead the AI transformation of the technology team by implementing cutting-edge AI tools, technologies, and practices. Oversee technical delivery on AI-centric client engagements. Enable the upskilling of the software development organization in the use of AI Key Responsibilities: Act as a principal advisor to senior leadership on AI strategy and implementation. Identify high-impact AI use cases in automation, intelligent operations, application development, research, and predictive analytics. Drive adoption of LLMs, generative AI, and multi-agent systems to enhance internal IT operations. Lead the design and implementation of AI-first workflows, tools, and platforms across IT. Build and lead cross-functional working groups and innovation pilots. Support AI-driven client engagements by contributing strategic insight and technical leadership in rapidly building custom software solutions. Stay ahead of emerging AI technologies and assess relevance to internal IT transformation and external projects. Success Metrics: AI use cases successfully deployed and scaled across IT. Efficiency gains or cost savings attributable to AI implementations. User adoption and satisfaction of AI-enabled tools and workflows. Maturity and scalability of AI governance and data stewardship frameworks. Impact and delivery speed of AI-enhanced client solutions. Ideal Candidate: Technologist with 10+ years in IT strategy, architecture, and/or digital transformation. Deep understanding of the current AI/ML landscape and tools. Track record of advising or leading transformation initiatives. Experience collaborating on or delivering custom software solutions for clients. Strong communication and stakeholder management skills. Passionate about the practical, responsible, and high-impact use of AI for both internal teams and client-facing engagements.

As a member of the software engineering division, you will apply basic to intermediate knowledge of software architecture to perform software development tasks associated with developing, debugging or designing software applications or operating systems according to provided design specifications. Build enhancements within an existing software architecture and occasionally suggest improvements to the architecture.. BS degree or equivalent experience relevant to functional area. 7+ years of software engineering or related experience. In this principal role you will be expected to drive technical collaboration between teams. Junior engineers in the team will be looking to you for technical mentorship.You have architected and executed on highly visible and mission critical projects, bringing your technical expertise to bear. You should be both, a rock-solid coder, and a distributed systems generalist. You should be able to dive deep into any part of the stack as well as design broad distributed system interactions. Career Level - IC4 Basic Qualifications: Computer Science fundamentals in object-oriented design, data structures, & algorithm design, etc 6+ years of total experience with software development/ programming experience with at least one object oriented coding language such as Java, C++, C#, Go, etc. Systematic problem-solving approach, strong communication skills, a sense of ownership, and drive. Experienced in building highly-available and scalable distributed services. Experienced with microservice design patterns. Exhibits behaviors consistent with OCI values. Be a leader and mentor to other developers, promoting best practices and collaboration Team Player: Ability to work collaboratively in a team environment and adapt to changing project requirements. Attention to Detail: Keen attention to detail and a commitment to delivering high-quality software solutions. A Principal Engineer should have strong technical judgment and influential skills to facilitate discussions for business-critical designs. Qualifications Disclaimer: Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $96,800 to $223,400 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

at Wind River Wind River is a global leader in delivering software for mission-critical intelligent systems. For more than four decades, the company has been an innovator and pioneer, powering billions of systems that require the highest levels of security, safety, and reliability. Wind River helps customers across automotive, aerospace, defense, industrial, medical, and telecommunications industries solve complex technology challenges on their journey toward the new intelligent machine economy. The company's software powers generation after generation of the safest, most secure systems in the world. Examples include playing a key role in NASA space missions such as Artemis I, the James Webb Space Telescope, and multiple Mars rovers. We've achieved recent 5G milestones including the world's first successful 5G data session with Verizon and building one of the largest Open RAN networks in the world with Vodafone. The company has received industry recognition for its technology innovation and leadership, and for its workplace culture, including global Great Place to Work certification and being named a “Top Workplace” for ten consecutive years. If you want to be part of a unique culture where the lived experience is based on our cultural attributes of growth mindset, customer-focus, and diversity, equity, inclusion & belonging, come join us and help advance the future software defined world. ABOUT THE OPPORTUNITY Within the Wind River Cloud team, we work with large-scale projects like Kubernetes, Docker, OpenStack and fast-paced Open-Source technologies that are in high demand from our customers. Wind River Cloud has adopted these technologies into the core of our product, which is driving us to find experienced and high-performing individuals that can learn and contribute to these container and virtualization solutions. In addition, Wind River Cloud team is a leading contributor to the Open Source StarlingX cloud native project, to manage and maintain the critical infrastructure for highly distributed Edge solutions, including 5G, Autonomous Vehicles, Industrial Automation and Augmented Reality. Wind River contributes and builds upon the work within StarlingX to ensure it meets the demands of these critical applications. The right candidate will possess proven software engineering skills. You are expected to be versatile and able to thrive in a dynamic environment. You are comfortable managing competing priorities and can bring order to ambiguous scenarios. Maturity, impeccable judgment, and the ability to influence and lead are essential to success in this role. PRIMARY RESPONSIBILITIES Develop software for a complete cloud infrastructure software stack. Develop high quality designs and code based on Kubernetes, containerized applications, distributed cloud systems, and cloud infrastructure management. Work as part of a team focused on containerization and fault tolerant/carrier grade development. Work with the most dynamic and exciting open-source software projects today - Kubernetes, OpenStack, KubeVirt, Helm, Ansible, Puppet, OSTree. Develop and deliver platform upgrade features with high quality design and code. Stay current with the latest advancements in OpenStack and related core. technologies, incorporating them into the platform where appropriate. Investigate and resolve issues reported during product verification Participate in all aspects of the software development process using agile development. MINIMUM QUALIFICATIONS Bachelor's/ Master's degree in Computer Science or related field. 5+ years of professional software development experience with Bachelor's 2+ years of programming experience with Python 2+ years of programming experience with C/C++ preferred 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems. DESIRABLE QUALIFICATIONS 3+ years of professional experience in building infrastructure software for highly scalable and distributed systems. Deep understanding of OpenStack architecture and components, including Nova, Neutron, Cinder, Keystone, and others. Track record of building and delivering mission critical, 24x7 production software systems. Contribution to OpenStack community or related other open-source projects. Deep knowledge of Cloud storage solutions. Working knowledge in L2/L3 networking and OVS. C/C++ network programming. Experience with Debian packaging, OSTree. Strong sense of ownership, urgency, and drive. Passion for mentoring other developing engineers Strong analytical and debugging skills. Excellent written and oral communication skills. BENEFITS - Workplace Flexibility Company-sponsored health, dental, and life insurance. Income protection through short and long-term disability coverage. Matching RRSP. Vacation and various time off policies to encourage work-life balance. Well-being programs: Employee assistance program, mental well-being through Unmind. Learning benefits: LinkedIn Learning subscription and seminars. Wind River is an Equal Opportunity Employer with a commitment to diversity. We prohibit discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.COMPENSATION: The annual base salary range for this role's listed grade level is currently $147,200 to $190,000 plus a bonus for Cupertino, CA residents, and $170,600 to $215,000 plus a bonus for SF Bay, CA Area residents. Salary ranges are determined through interviews and a review of the education, experience, knowledge, skills, location, and abilities of the applicant, and equity with other team members. Employees in this role are also eligible for the following benefits in accordance with the terms of the Company's plans: health, dental, vision insurance, life insurance, flex time off, eligibility to enroll in 401k, and 12 paid holidays.#LI-JP1

tl;dr: We're automating compliance for banks and fintechs with AI agents that work like human analysts - on a browser. Demand is exploding, and we're expanding our engineering team to move faster & meet our 6-month roadmap. If you love building end-to-end systems, shipping fast and tackling hard problems, we should talk. PS: want to skip the queue? Save Morty from Rick in our AI-proof coding challenge. If things go well, we'll reach out to organize an interview directly with our CTO. And if you win, we pay you $10k, no questions ask. Background Before you can move money or open an account, someone has to make sure you're not a criminal. That's compliance - and it's broken. Sphinx builds AI analysts that work inside browsers, APIs, and internal systems just like humans - automating AML, KYC, KYB, and transaction monitoring end-to-end. Why Join Sphinx Massive, unsexy market: Banks spend $50B a year hiring thousands of analysts to review alerts and fill out reports by hand. The space has seen very little innovation, and customers complain about our most well-funded competitors weekly. It's not glamorous - until you realize you're building the intelligence layer that protects the entire financial system. We have never lost a deal to a competitor: Yes you heard that right, we've won every RFP we've been in. Small team, big surface area: Our co-founders previously sold an AI company & have built ML systems that scaled to millions of users and closed deals with major banks. The rest of our team in SF includes PhDs, industry experts, and competitive coders. Hard tech: we're going from zero to one; our tech is our moat. Zero startup bullshit: we're not chasing investors, we're chasing customers. We're trusted by leading banks and fintechs across the U.S., Canada, Europe, and LatAm. They've seen 90% less manual work, 4× lower costs. Technical Challenges1. Browser Agents for the Invisible Web Most financial crime data isn't accessible via APIs - it lives in legacy systems, government portals, and third-party platforms. We're building agents that navigate these systems like humans do: clicking, scrolling, interpreting unstructured data, and adapting to interface changes. This requires computer vision, DOM understanding, and robust error handling at scale. 2. The Global Risk Graph Risk doesn't stop at borders, and neither can we. Our agents operate across languages and regulations, reconciling entities hidden behind shell structures and mismatched disclosures. Each check enriches a single, evolving graph of people, companies, and signals - a global risk intelligence network that never forgets. 3. Decisions at the Speed of Money Payments don't wait for compliance. We process risk signals at the same speed money moves - millions of transactions, thousands of entities, sub-second decisions. Doing this right on AWS means distributed inference, caching, queue orchestration, and self-healing data pipelines. 4. Deep Research without Hallucinations Out-of-the-box deep research agents easily confuse entities that look similar. ChatGPT isn't going to be able to tell us whether John Smith is a terrorist. We're building our own deep research pipeline to ensure LLMs don't mix up facts from different people/companies. What We Look For You solve problems end-to-end: Our team owns features vertically. You'll architect agent behaviors, build backend systems, optimize ML pipelines, and ship product features - often in the same week. You have a high bar for quality: In financial crime, "mostly working" isn't good enough. You obsess over edge cases, build robust error handling, and ship systems that institutions trust with billions in transactions. You want to push AI agent capabilities: We're at the frontier of what's possible with AI agents in production. You'll experiment with the latest models, design novel agentic workflows, and solve problems that don't have Stack Overflow answers. You communicate with clarity: We move fast with minimal process. You need to articulate tradeoffs, communicate blockers, and make technical decisions with limited information. You're energized by impact: Our customers protect the financial system from criminals. Your code directly prevents money laundering and terrorism financing. That matters. You hate meetings: You would much rather focus your time on building, being productive, and shipping code About the Interview Intro call (fit & motivation) Technical screening / take-home Deep-dive technical interview (no live coding) Short paid in-person trial Offer 🎉 Benefits 🍽 Lunch, dinner and snacks at the office 🏥 Comprehensive healthcare 🏝️ Unlimited PTO 🗺️ Annual offsite (last one in Mexico)! ✈️ Paid relocation & one-month temporary housing 💻 Latest tech and as many monitors as you can fit on a desk

at Wind River Member Of Technical Staff - DevOps - Cloud Wind River is a global leader in delivering software for mission-critical intelligent systems. For more than four decades, the company has been an innovator and pioneer, powering billions of systems that require the highest levels of security, safety, and reliability. Wind River helps customers across automotive, aerospace, defense, industrial, medical, and telecommunications industries solve complex technology challenges on their journey toward the new intelligent machine economy. The company's software powers generation after generation of the safest, most secure systems in the world. Examples include playing a key role in NASA space missions such as Artemis I, the James Webb Space Telescope, and multiple Mars rovers. We've achieved recent 5G milestones, including the world's first successful 5G data session with Verizon and building one of the largest Open RAN networks in the world with Vodafone. The company has received industry recognition for its technology innovation and leadership and for its workplace culture, including global Great Place to Work certification and being named a “Top Workplace” for ten consecutive years. If you want to be part of a unique culture where the lived experience is based on our cultural attributes of growth mindset, customer focus, and diversity, equity, inclusion & belonging, come join us and help advance the future software-defined world. ABOUT THE OPPORTUNITY If you're a curious and collaborative engineer, someone excited about tackling hard problems and finding innovative solutions, you will love being part of our group. Our customers use our Wind River Systems Products (on-prem and SaaS) to develop cutting-edge IoT and embedded system devices that will enable the next generation of technology user experiences. You will work with standard off-the-shelf and custom hardware designs and systems, troubleshooting not only for OS issues but the possible interaction problems between the hardware design and the software applications of our customers throughout their life-cycle and help them successfully reach their business goals by implementing Wind River's products and services. You will need to be sharp and self-driven to jump into our labs and duplicate customer environments, systems, and devices. You will master skills in a wide range of Wind River tools such as IDEs, compilers, etc., to understand customer setups, anticipate or investigate possible root causes, and provide high-quality solutions. You will work closely with end-users, stakeholders, and developers within Wind River customer support operations to assess, troubleshoot, and solve complex multi-layered issues (hardware, software and everything in between). ABOUT YOU Responsibilities & Accountabilities Support customers who are encountering problems on Wind River's products. Communicate effectively with customers and other stockholders to resolve their problems. Handle customer and defect escalations. Document customer issues and resolutions accurately and thoroughly. Develop technical content for online support site. Participate in support process improvement activities. Mentor local and global Customer Support Engineers. Provide support and training to internal customers. If needed, act as single point of contact (Premium Support Engineer) for Premium Support Customers. Considered as expert in some areas of products. May need to provide on-site support and training to customers. Proactively contribute content to the various Knowledge Bases within Wind River Document Problems for Knowledge Base so that customers may solve similar problems on their own in the future. Be available for after-hours duties in case if there is need for 24/7/365 coverage from the team. Performance Measurement CSAT, NPS, CES SLA compliance. Achievement of Objective and Key Results (OKRs) as set by management. Review of Key Performance Indicators (KPIs). Successful Escalation Handling. Completion of Special projects. Educational Requirements Bachelor or Masters degree in Computer Science, Electrical Engineering, Data Science, Math, Physics, or related technical field preferred. Experience/ Competencies 6-8 years' experience in development and production operations supporting a cloud-based environment required with 3-5 years of customer facing role experience preferred. Understanding of Cloud vs. on premise computing. Solid understanding of fundamentals of cloud computing. Experience with Azure or Amazon AWS or similar SaaS solutions. Experience in C/C++ and shell/ Python scripting. Familiarity with DevOps CI/CD, Dockers, Kubernetes and involved tools. Experience in virtualization/containerization technologies like KVM, docker, containerd. Experience working with Xen-based virtualization as well as using and testing on Linux systems is a plus. Experience in standard opensource cloud technologies like Kuberenetes, openstack, helm, microservices etc. Candidate should be able to write templates to create K8s pods with custom requirements that runs micro-services. Basic understanding of Hardware and knowledge of BIOS and firmware upgrades etc. The candidate should really have an understanding of computing/networking architecture of a system. Experience in YAML, Gitlab, Jenkins or Tekton Understanding of Cloud-Native networking technologies like Calico, Istio, Prometheus Experience in VxWorks or Wind River Linux will be a plus Exceptional team player who works well in collaborative environment. Excellent written and oral communication skills. Self-managed, fast learner with the desire and ability to master new technologies. Independent and should be able to handle multiple products simultaneously. Provide assistance and training to less experienced CSEs. Should be able to represent CSO in discussions with product Managers, engineering, sales etc. Able to lead projects and make decisions independently. Addition Requirements: This position is for US Persons Only OUR COMMITMENT TO DIVERSITY Wind River is committed to providing employees with a work environment free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, national, social, or ethnic origin, age, physical, mental, or sensory disability, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, HIV status, family medical history or genetic information, family or parental status including pregnancy, or any other status protected by the laws or regulations in the locations where we operate. Wind River will not tolerate discrimination or harassment based on these characteristics. To learn more, visit Wind River at ***************** . #LI-JK1

at Wind River Member of Technical Staff - Cloud Security Wind River is a global leader in delivering software for mission-critical intelligent systems. For more than four decades, the company has been an innovator and pioneer, powering billions of systems that require the highest levels of security, safety, and reliability. Wind River helps customers across automotive, aerospace, defense, industrial, medical, and telecommunications industries solve complex technology challenges on their journey toward the new intelligent machine economy. The company's software powers generation after generation of the safest, most secure systems in the world. Examples include playing a key role in NASA space missions such as Artemis I, the James Webb Space Telescope, and multiple Mars rovers. We've achieved recent 5G milestones including the world's first successful 5G data session with Verizon and building one of the largest Open RAN networks in the world with Vodafone. The company has received industry recognition for its technology innovation and leadership, and for its workplace culture, including global Great Place to Work certification and being named a "Top Workplace" for ten consecutive years. If you want to be part of a unique culture where the lived experience is based on our cultural attributes of growth mindset, customer-focus, and diversity, equity, inclusion & belonging, come join us and help advance the future software defined world. YOUR ROLE As a Member of Technical Staff on our team, you'll focused on implementing modern DevSecOps technologies, pioneering new security tools, processes and capabilities for cloud-native solutions. The candidate must have experience in securing cloud-native development environments and be a highly adaptable team player who can quickly ramp up on new technologies and accomplish goals in a fast-paced agile environment. A combination of strong technical and communication skills is a must, along with an unbounded desire to learn new technologies and their application. In your daily job you will: * Secure OnPrem and Public Cloud environments leveraging IAC * Establish, implement security policies for Docker, K8s and Public Cloud Platforms * Implement and automate Application Security policies by embedding SAST, DAST, API Security and Penetration Testing in the product development workflow * Accelerate container security with pipeline development * Drive vulnerability management and remediation in partnership with various product teams * Manage and maintain secure integrations between tools like Gitlab, Jenkins, JIRA, and many more. * Implement solutions for event log collection and SIEM. HOW YOU WILL CONTRIBUTE Key skills and competencies for succeeding in this role are: * Expertise in cybersecurity principles with a desire to increase knowledge and strong analytical skills. * Experience in Architecting security features on cloud providers (Azure AWS, GCP etc.), On Prem and Hybrid environments. * Hands-on experience using tools like Coverity, BurpSuite, ZAP, Trivy, PRISMA Cloud, Tenable, Rapid7 etc. * Working experience designing and implementing Application, network, back-end security-enhancing features * Deep knowledge of vulnerability management, remediation, and troubleshooting skills * Security penetration testing & threat modelling would be a plus. * Industry standards-based documentation, certification, and accreditation such as NIST SP 800-53, NIST 800-171, FEDRAMP, and Security Technical Implement Guides (STIGs) and bringing components into compliance with these standards * Strong foundation of DevSecOps principles, Infrastructure as Code including Terraform and Helm * Container and Cluster hardening * Excellent programming skills using Python, Go etc. * Proficiency in pipeline automation leveraging Gitlab, Jenkins, Jira etc. * Secrets Management leveraging Hashicorp Vault is a plus * Experience with Agile and Scrum * Self-managed, fast learner, and strong problem-solving skills. * Excellent verbal and written communication skills and a good listener. * Exceptional team player who works well in collaborative situations. * Ability to brainstorm and represent competing ideas simultaneously. * Growth mindset who is passionate about learning and applying new technologies. * 8+ years of relevant technical experience in cybersecurity with 2+ years of experience in software engineering. * BE / MTech degree (Computer Science, Electronics Engineering, or equivalent technical degree) SECURITY CLEARANCE REQUIREMENTS Successful candidates must engage in a security clearance process in regard to their citizenship in order to perform fundamental job duties, as per applicable law. In particular, candidates with certain citizenship may not be able to perform such fundamental job duties. Currently, this includes citizens of the following countries: Belarus; Burma; China; Cuba; Iran; North Korea; Syria; Venezuela; Afghanistan; Cambodia; Central African Republic; Cyprus; Democratic Republic of Congo; Ethiopia; Eritrea; Haiti; Iraq; Lebanon; Libya; Russia; Somalia; South Sudan; Sudan; Zimbabwe. The security clearance process may take a significant amount of time to complete, and any offer of employment will be contingent on the candidate's legal ability to perform the fundamental job duties. Wind River is committed to meeting its obligations to candidates under applicable human rights law and privacy law in this regard. Compensation The annual base salary range for this role's listed grade level is currently $150,000 to $206,200 plus a bonus . Salary ranges are determined through interviews and a review of the education, experience, knowledge, skills, location, and abilities of the applicant, and equity with other team members. [ Wind River is an Equal Opportunity Employer with a commitment to diversity. We prohibit discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status. Diversity is foundational for Wind River's business success. We want to be a workplace of choice for all people and we value the unique perspectives offered by a diverse workforce. Wind River does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, citizenship, disability, protected veteran status, age, ancestry, medical condition, genetic information, marital status, pregnancy, or any other legally protected status. This principle applies to all areas of employment: recruitment and hiring, training, performance evaluations, promotions and transfers, compensation and benefits, and social and recreational programs. Wind River desires to be an employer of choice with an inclusive environment for all individuals. As part of this goal and in compliance with various laws and regulations, Wind River provides reasonable accommodation to applicants and employees. Requests for reasonable accommodation for applicants and employees are examined on a case-by-case basis. Please let us know if you need a reasonable accommodation for any part of the application, interviewing, hiring or at any other time during the employment process. You can email us at: [email protected]. Please do not include personal medical information in the email. More information about federal laws that prohibit job discrimination can be found at: www1.eeoc.gov/employers/poster.cfm ****************************************************************************************

at Wind River Member of Technical Staff - Cloud Security Wind River is a global leader in delivering software for mission-critical intelligent systems. For more than four decades, the company has been an innovator and pioneer, powering billions of systems that require the highest levels of security, safety, and reliability. Wind River helps customers across automotive, aerospace, defense, industrial, medical, and telecommunications industries solve complex technology challenges on their journey toward the new intelligent machine economy. The company's software powers generation after generation of the safest, most secure systems in the world. Examples include playing a key role in NASA space missions such as Artemis I, the James Webb Space Telescope, and multiple Mars rovers. We've achieved recent 5G milestones including the world's first successful 5G data session with Verizon and building one of the largest Open RAN networks in the world with Vodafone. The company has received industry recognition for its technology innovation and leadership, and for its workplace culture, including global Great Place to Work certification and being named a “Top Workplace” for ten consecutive years. If you want to be part of a unique culture where the lived experience is based on our cultural attributes of growth mindset, customer-focus, and diversity, equity, inclusion & belonging, come join us and help advance the future software defined world. YOUR ROLE As a Member of Technical Staff on our team, you'll focused on implementing modern DevSecOps technologies, pioneering new security tools, processes and capabilities for cloud-native solutions. The candidate must have experience in securing cloud-native development environments and be a highly adaptable team player who can quickly ramp up on new technologies and accomplish goals in a fast-paced agile environment. A combination of strong technical and communication skills is a must, along with an unbounded desire to learn new technologies and their application. In your daily job you will: Secure OnPrem and Public Cloud environments leveraging IAC Establish, implement security policies for Docker, K8s and Public Cloud Platforms Implement and automate Application Security policies by embedding SAST, DAST, API Security and Penetration Testing in the product development workflow Accelerate container security with pipeline development Drive vulnerability management and remediation in partnership with various product teams Manage and maintain secure integrations between tools like Gitlab, Jenkins, JIRA, and many more. Implement solutions for event log collection and SIEM. HOW YOU WILL CONTRIBUTE Key skills and competencies for succeeding in this role are: Expertise in cybersecurity principles with a desire to increase knowledge and strong analytical skills. Experience in Architecting security features on cloud providers (Azure AWS, GCP etc.), On Prem and Hybrid environments. Hands-on experience using tools like Coverity, BurpSuite, ZAP, Trivy, PRISMA Cloud, Tenable, Rapid7 etc. Working experience designing and implementing Application, network, back-end security-enhancing features Deep knowledge of vulnerability management, remediation, and troubleshooting skills Security penetration testing & threat modelling would be a plus. Industry standards-based documentation, certification, and accreditation such as NIST SP 800-53, NIST 800-171, FEDRAMP, and Security Technical Implement Guides (STIGs) and bringing components into compliance with these standards Strong foundation of DevSecOps principles, Infrastructure as Code including Terraform and Helm ,Container and Cluster hardening Excellent programming skills using Python, Go etc. Proficiency in pipeline automation leveraging Gitlab, Jenkins, Jira etc. Secrets Management leveraging Hashicorp Vault is a plus Experience with Agile and Scrum Self-managed, fast learner, and strong problem-solving skills. Excellent verbal and written communication skills and a good listener. Exceptional team player who works well in collaborative situations. Ability to brainstorm and represent competing ideas simultaneously. Growth mindset who is passionate about learning and applying new technologies. 8+ years of relevant technical experience in cybersecurity with 2+ years of experience in software engineering. BE / MTech degree (Computer Science, Electronics Engineering, or equivalent technical degree) SECURITY CLEARANCE REQUIREMENTS Successful candidates must engage in a security clearance process in regard to their citizenship in order to perform fundamental job duties, as per applicable law. In particular, candidates with certain citizenship may not be able to perform such fundamental job duties. Currently, this includes citizens of the following countries: Belarus; Burma; China; Cuba; Iran; North Korea; Syria; Venezuela; Afghanistan; Cambodia; Central African Republic; Cyprus; Democratic Republic of Congo; Ethiopia; Eritrea; Haiti; Iraq; Lebanon; Libya; Russia; Somalia; South Sudan; Sudan; Zimbabwe. The security clearance process may take a significant amount of time to complete, and any offer of employment will be contingent on the candidate's legal ability to perform the fundamental job duties. Wind River is committed to meeting its obligations to candidates under applicable human rights law and privacy law in this regard. Compensation The annual base salary range for this role's listed grade level is currently $150,000 to $206,200 plus a bonus . Salary ranges are determined through interviews and a review of the education, experience, knowledge, skills, location, and abilities of the applicant, and equity with other team members. [

at Wind River Member of Technical Staff - Cloud Security Wind River is a global leader in delivering software for mission-critical intelligent systems. For more than four decades, the company has been an innovator and pioneer, powering billions of systems that require the highest levels of security, safety, and reliability. Wind River helps customers across automotive, aerospace, defense, industrial, medical, and telecommunications industries solve complex technology challenges on their journey toward the new intelligent machine economy. The company's software powers generation after generation of the safest, most secure systems in the world. Examples include playing a key role in NASA space missions such as Artemis I, the James Webb Space Telescope, and multiple Mars rovers. We've achieved recent 5G milestones including the world's first successful 5G data session with Verizon and building one of the largest Open RAN networks in the world with Vodafone. The company has received industry recognition for its technology innovation and leadership, and for its workplace culture, including global Great Place to Work certification and being named a "Top Workplace" for ten consecutive years. If you want to be part of a unique culture where the lived experience is based on our cultural attributes of growth mindset, customer-focus, and diversity, equity, inclusion & belonging, come join us and help advance the future software defined world. YOUR ROLE As a Member of Technical Staff on our team, you'll focused on implementing modern DevSecOps technologies, pioneering new security tools, processes and capabilities for cloud-native solutions. The candidate must have experience in securing cloud-native development environments and be a highly adaptable team player who can quickly ramp up on new technologies and accomplish goals in a fast-paced agile environment. A combination of strong technical and communication skills is a must, along with an unbounded desire to learn new technologies and their application. In your daily job you will: * Secure OnPrem and Public Cloud environments leveraging IAC * Establish, implement security policies for Docker, K8s and Public Cloud Platforms * Implement and automate Application Security policies by embedding SAST, DAST, API Security and Penetration Testing in the product development workflow * Accelerate container security with pipeline development * Drive vulnerability management and remediation in partnership with various product teams * Manage and maintain secure integrations between tools like Gitlab, Jenkins, JIRA, and many more. * Implement solutions for event log collection and SIEM. HOW YOU WILL CONTRIBUTE Key skills and competencies for succeeding in this role are: * Expertise in cybersecurity principles with a desire to increase knowledge and strong analytical skills. * Experience in Architecting security features on cloud providers (Azure AWS, GCP etc.), On Prem and Hybrid environments. * Hands-on experience using tools like Coverity, BurpSuite, ZAP, Trivy, PRISMA Cloud, Tenable, Rapid7 etc. * Working experience designing and implementing Application, network, back-end security-enhancing features * Deep knowledge of vulnerability management, remediation, and troubleshooting skills * Security penetration testing & threat modelling would be a plus. * Industry standards-based documentation, certification, and accreditation such as NIST SP 800-53, NIST 800-171, FEDRAMP, and Security Technical Implement Guides (STIGs) and bringing components into compliance with these standards * Strong foundation of DevSecOps principles, Infrastructure as Code including Terraform and Helm * Container and Cluster hardening * Excellent programming skills using Python, Go etc. * Proficiency in pipeline automation leveraging Gitlab, Jenkins, Jira etc. * Secrets Management leveraging Hashicorp Vault is a plus * Experience with Agile and Scrum * Self-managed, fast learner, and strong problem-solving skills. * Excellent verbal and written communication skills and a good listener. * Exceptional team player who works well in collaborative situations. * Ability to brainstorm and represent competing ideas simultaneously. * Growth mindset who is passionate about learning and applying new technologies. * 8+ years of relevant technical experience in cybersecurity with 2+ years of experience in software engineering. * BE / MTech degree (Computer Science, Electronics Engineering, or equivalent technical degree) SECURITY CLEARANCE REQUIREMENTS Successful candidates must engage in a security clearance process in regard to their citizenship in order to perform fundamental job duties, as per applicable law. In particular, candidates with certain citizenship may not be able to perform such fundamental job duties. Currently, this includes citizens of the following countries: Belarus; Burma; China; Cuba; Iran; North Korea; Syria; Venezuela; Afghanistan; Cambodia; Central African Republic; Cyprus; Democratic Republic of Congo; Ethiopia; Eritrea; Haiti; Iraq; Lebanon; Libya; Russia; Somalia; South Sudan; Sudan; Zimbabwe. The security clearance process may take a significant amount of time to complete, and any offer of employment will be contingent on the candidate's legal ability to perform the fundamental job duties. Wind River is committed to meeting its obligations to candidates under applicable human rights law and privacy law in this regard. Compensation The annual base salary range for this role's listed grade level is currently $150,000 to $206,200 plus a bonus . Salary ranges are determined through interviews and a review of the education, experience, knowledge, skills, location, and abilities of the applicant, and equity with other team members. [ Wind River is an Equal Opportunity Employer with a commitment to diversity. We prohibit discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status. Diversity is foundational for Wind River's business success. We want to be a workplace of choice for all people and we value the unique perspectives offered by a diverse workforce. Wind River does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, citizenship, disability, protected veteran status, age, ancestry, medical condition, genetic information, marital status, pregnancy, or any other legally protected status. This principle applies to all areas of employment: recruitment and hiring, training, performance evaluations, promotions and transfers, compensation and benefits, and social and recreational programs. Wind River desires to be an employer of choice with an inclusive environment for all individuals. As part of this goal and in compliance with various laws and regulations, Wind River provides reasonable accommodation to applicants and employees. Requests for reasonable accommodation for applicants and employees are examined on a case-by-case basis. Please let us know if you need a reasonable accommodation for any part of the application, interviewing, hiring or at any other time during the employment process. You can email us at: [email protected]. Please do not include personal medical information in the email. More information about federal laws that prohibit job discrimination can be found at: www1.eeoc.gov/employers/poster.cfm ****************************************************************************************

We are looking for experienced database architects to join our product engineering team. Required Skills/Experience With the proverbial 10,000+ hours comfortably under your belt in software engineering, preferably in product development, specifically in relational databases - designing, coding, tuning, optimizing, testing, security, and everything in between, at industrial-strength levels. You are the in essence a go-to-person in DBMS, keenly aware of the innovations in cloud, SaaS, relational through NoSQL, high availability, scalability, managing multiple releases and probably tons more. You are careful in your thought process as, although we are a startup, our customers are corporate giants. Beyond databases, you might also have tinkered with R, Linux, Java, JavaScript, Python, GO - basically, something above and beyond the ordinary, completing the 360-vision of a software developer who happens to be awesome at databases. Education: BS/MS in Engineering or Computer Science Technologies: PL-SQL, SQLSCRIPT, SAP HANA, PAL, R. Prior experience in SAP HANA or PAL is not mandatory. Our deployment architecture is a high availability high bandwidth secure enterprise Linux (SLES) cloud on AWS. If the above describes you, send your CV to ****************.

Mirage is the leading AI short-form video company. We're building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage's products to reach their full creative and commercial potential. We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you'll have an opportunity to have an outsized impact on our products and our company's culture. Our Products Captions Mirage Studio Our Technology AI Research @ Mirage Mirage Model Announcement Seeing Voices (white-paper) Press Coverage TechCrunch Lenny's Podcast Forbes AI 50 Fast Company Our Investors We're very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. ** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** About the role: Captions is seeking a Machine Learning Engineer to partner closely with our Researchers and bring large-scale multimodal video diffusion models into production. You'll be responsible for optimizing and deploying state-of-the-art generative models (tens to hundreds of billions of parameters) to deliver low-latency, high-throughput inference at scale. This is a unique opportunity to work on cutting-edge AI-spanning audio-video generation, diffusion architectures, and temporal modeling-and ensure these innovations reach millions of creators worldwide. Responsibilities: Inference & Deployment Develop high-performance GPU-based inference pipelines for large multimodal diffusion models. Build, optimize, and maintain serving infrastructure to deliver low-latency predictions at large scale. Collaborate with DevOps teams to containerize models, manage autoscaling, and ensure uptime SLAs. Model Optimization & Fine-Tuning Leverage techniques like quantization, pruning, and distillation to reduce latency and memory footprint without compromising quality. Implement continuous fine-tuning workflows to adapt models based on real-world data and feedback. Production MLOps Design and maintain automated CI/CD pipelines for model deployment, versioning, and rollback. Implement robust monitoring (latency, throughput, concept drift) and alerting for critical production systems. Performance & Scaling Explore cutting-edge GPU acceleration frameworks (e.g., TensorRT, Triton, TorchServe) to continuously improve throughput and reduce costs. Requirements: Technical Expertise Proven experience deploying deep learning models on GPU-based infrastructure (NVIDIA GPUs, CUDA, TensorRT, etc.). Strong knowledge of containerization (Docker, Kubernetes) and microservice architectures for ML model serving. Proficiency with Python and at least one deep learning framework (PyTorch, TensorFlow). Model Optimization Familiarity with compression techniques (quantization, pruning, distillation) for large-scale models. Experience profiling and optimizing model inference (batching, concurrency, hardware utilization). Infrastructure Hands-on experience with ML pipeline orchestration (Airflow, Kubeflow, Argo) and automated CI/CD for ML. Strong grasp of logging, monitoring, and alerting tools (Prometheus, Grafana, etc.) in distributed systems. Domain Experience Exposure to diffusion models, multimodal video generation, or large-scale generative architectures. Experience with distributed training frameworks (FSDP, DeepSpeed, Megatron-LM) or HPC environments. Benefits: Comprehensive medical, dental, and vision plans 401K with employer match Commuter Benefits Catered lunch multiple days per week Dinner stipend every night if you're working late and want a bite! Grubhub subscription Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc) Multiple team offsites per year with team events every month Generous PTO policy Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please note benefits apply to full time employees only.

Mirage is the leading AI short-form video company. We're building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage's products to reach their full creative and commercial potential. We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you'll have an opportunity to have an outsized impact on our products and our company's culture. Our Products Captions Mirage Studio Our Technology AI Research @ Mirage Mirage Model Announcement Seeing Voices (white-paper) Press Coverage TechCrunch Lenny's Podcast Forbes AI 50 Fast Company Our Investors We're very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. ** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** About the Role As an expert in making AI models run fast-really fast-you live at the intersection of CUDA, PyTorch, and generative models, and get excited by the idea of squeezing every last bit of performance out of modern GPUs. You will have the opportunity to turn our cutting-edge video generation research into scalable, production-grade systems. From designing custom CUDA or Triton kernels to profiling distributed inference pipelines, you'll work across the full stack to make sure our models train and serve at peak performance. Key Responsibilities Optimize model training and inference pipelines, including data loading, preprocessing, checkpointing, and deployment, for throughput, latency, and memory efficiency on NVIDIA GPUs Design, implement, and benchmark custom CUDA and Triton kernels for performance-critical operations Integrate low-level optimizations into PyTorch-based codebases, including custom ops, low-precision formats, and TorchInductor passes Profile and debug the entire stack-from kernel launches to multi-GPU I/O paths-using Nsight, nvprof, PyTorch Profiler, and custom tools Work closely with colleagues to co-design model architectures and data pipelines that are hardware-friendly and maintain state-of-the-art quality Stay on the cutting edge of GPU and compiler tech (e.g., Hopper features, CUDA Graphs, Triton, FlashAttention, and more) and evaluate their impact Collaborate with infrastructure and backend experts to improve cluster orchestration, scaling strategies, and observability for large experiments Provide clear, data-driven insights and trade-offs between performance, quality, and cost Contribute to a culture of fast iteration, thoughtful profiling, and performance-centric design Required Qualifications Bachelor's degree in Computer Science, Electrical/Computer Engineering, or equivalent practical experience 3+ years of hands-on experience writing and optimizing CUDA kernels for production ML workloads Deep understanding of GPU architecture: memory hierarchies, warp scheduling, tensor cores, register pressure, and occupancy tuning Strong Python skills and familiarity with PyTorch internals, TorchScript, and distributed data-parallel training Proven track record profiling and accelerating large-scale training and inference jobs (e.g., mixed precision, kernel fusion, custom collectives) Comfort working in Linux environments with modern CI/CD, containerization, and cluster managers such as Kubernetes Preferred Qualifications Advanced degree (MS/PhD) in Computer Science, Electrical/Computer Engineering, or related field Experience with multi-modal AI systems, particularly video generation or computer vision models Familiarity with distributed training frameworks (DeepSpeed, FairScale, Megatron) and model parallelism techniques Knowledge of compiler optimization techniques and experience with MLIR, XLA, or similar frameworks Experience with cloud infrastructure (AWS, GCP, Azure) and GPU cluster management Ability to translate research goals into performant code, balancing numerical fidelity with hardware constraints Strong communication skills and experience mentoring junior engineers Benefits: Comprehensive medical, dental, and vision plans 401K with employer match Commuter Benefits Catered lunch multiple days per week Dinner stipend every night if you're working late and want a bite! Grubhub subscription Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc) Multiple team offsites per year with team events every month Generous PTO policy Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please note benefits apply to full time employees only.

Mirage is the leading AI short-form video company. We're building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage's products to reach their full creative and commercial potential. We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you'll have an opportunity to have an outsized impact on our products and our company's culture. Our Products Captions Mirage Studio Our Technology AI Research @ Mirage Mirage Model Announcement Seeing Voices (white-paper) Press Coverage TechCrunch Lenny's Podcast Forbes AI 50 Fast Company Our Investors We're very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. ** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** About the role: Captions is seeking an exceptional Research Engineer (MOTS) to advance the state-of-the-art in large-scale multimodal video diffusion models. You'll conduct novel research on generative modeling architectures, develop new training techniques, and scale models to billions of parameters. As a key member of our ML Research team, you'll work at the cutting edge of multimodal generation while building systems that enable natural, controllable video creation. We're already training large-scale models with demonstrated product impact, and we're excited to continue expanding the scope and capabilities of our research. We're especially excited about pushing the boundaries of audio-video generation, with a focus on realistic and charismatic human behavior that enables natural storytelling and creative iteration. Our models power creative tools used by millions of creators, and we're tackling fundamental challenges in how to generate compelling human motion, expression, and speech. Key Responsibilities: Research & Architecture Development: Design and implement novel architectures for large-scale video and multimodal diffusion models Develop new approaches to multimodal fusion, temporal modeling, and video control Research temporal video editing techniques and controllable generation Research and validate scaling laws for video generation models Create new loss functions and training objectives for improved generation quality Drive rapid experimentation with model architectures and training strategies Validate research directly through product deployment and user feedback Model Training & Optimization: Train and optimize models at massive scale (10s-100s of billions of parameters) Develop sophisticated distributed training approaches using FSDP, DeepSpeed, Megatron-LM Design and implement model surgery techniques (pruning, distillation, quantization) Create new approaches to memory optimization and training efficiency Research techniques for improving training stability at scale Conduct systematic empirical studies of architecture and optimization choices Technical Innovation: Advance state-of-the-art in video model architecture design and optimization Develop new approaches to temporal modeling for video generation Create novel solutions for multimodal learning and cross-modal alignment Research and implement new optimization techniques for generative modeling and sampling Design and validate new evaluation metrics for generation quality Systematically analyze and improve model behavior across different regimes Requirements: Research Experience: Master's or PhD in Computer Science, Machine Learning, or related field Track record of research contributions at top ML conferences (NeurIPS, ICML, ICLR) Demonstrated experience implementing and improving upon state-of-the-art architectures Deep expertise in generative modeling approaches (diffusion, autoregressive, VAEs, etc.) Strong background in optimization techniques and loss function design Experience with empirical scaling studies and systematic architecture research Technical Expertise: Strong proficiency in modern deep learning tooling (PyTorch, CUDA, Triton, FSDP, etc.) Experience training diffusion models with 10B+ parameters Experience with very large language models (200B+ parameters) is a plus Deep understanding of attention, transformers, and modern multimodal architectures Expertise in distributed training systems and model parallelism Proven ability to implement and improve complex model architectures Track record of systematic empirical research and rigorous evaluation Engineering Capabilities: Ability to write clean, modular research code that scales Strong software engineering practices including testing and code review Experience with rapid prototyping and experimental design Strong analytical skills for debugging model behavior and training dynamics Facility with profiling and optimization tools Track record of bringing research ideas to production Experience maintaining high code quality in a research environment About the Team: You'll work directly alongside our research and engineering teams in our NYC office. We've intentionally built a culture where technical innovation and research excellence are highly valued - your success will be measured by your contributions to improving our models and advancing the field, not by your ability to navigate politics. We're a team that loves diving deep into complex technical problems and emerging with practical breakthroughs. Our team values: Open technical discussions and collaboration Rapid iteration and practical solutions Deep technical expertise and continuous learning Direct impact on research and product outcomes What sets us apart: Opportunity to advance the state-of-the-art in video generation Direct impact on products used by millions of creators Access to massive compute resources and diverse, large-scale datasets Environment that values both research excellence and practical impact Ability to validate research through direct product feedback Benefits: Comprehensive medical, dental, and vision plans 401K with employer match Commuter Benefits Catered lunch multiple days per week Dinner stipend every night if you're working late and want a bite! Grubhub subscription Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc) Multiple team offsites per year with team events every month Generous PTO policy Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please note benefits apply to full time employees only.

Mirage is the leading AI short-form video company. We're building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage's products to reach their full creative and commercial potential. We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you'll have an opportunity to have an outsized impact on our products and our company's culture. Our Products Captions Mirage Studio Our Technology AI Research @ Mirage Mirage Model Announcement Seeing Voices (white-paper) Press Coverage TechCrunch Lenny's Podcast Forbes AI 50 Fast Company Our Investors We're very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. ** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** About the Role and Team: Captions seeks an exceptional Research Engineer (MOTS) to drive innovation in training data infrastructure. You'll conduct research on and develop sophisticated distributed training workflows and optimized data processing systems for massive video and multimodal datasets. Beyond pure performance, you'll develop deep insight into our data to maximize training effectiveness. As an early member of our ML Research team, you'll build foundational systems that directly impact our ability to train models powering video and multimodal creation for millions of users. You'll work directly alongside our research and engineering teams in our NYC office. We've intentionally built a culture where infrastructure and data work is highly valued - your success will be measured by the reliability and performance of our systems, not by your ability to navigate politics. We're a team that loves diving deep into technical problems and emerging with practical solutions. Our team values: Quick iteration and practical solutions. Open discussion of technical approaches. Direct access to decision makers. Regular sharing of learnings, results, and iterative work. Key Responsibilities: Infrastructure Development: Build performant pipelines for processing video and multimodal training data at scale. Design distributed systems that scale seamlessly with our rapidly growing video and multimodal datasets. Create efficient data loading systems optimized for GPU training throughput. Implement comprehensive telemetry for video processing and training pipelines. Core Systems Development: Create foundation data processing systems that intelligently cache and reuse expensive computations across the training pipeline. Build robust data validation and quality measurement systems for video and multimodal content. Design systems for data versioning and reproducing complex multimodal training runs. Develop efficient storage and compute patterns for high-dimensional data and learned representations. System Optimization: Own and improve end-to-end training pipeline performance. Build systems for efficient storage and retrieval of video training data. Build frameworks for systematic data and model quality improvement. Develop infrastructure supporting fast research iteration cycles. Build tools and systems for deep understanding of our training data characteristics. Research & Product Impact: Build infrastructure enabling rapid testing of research hypotheses. Create systems for incorporating user feedback into training workflows. Design measurement frameworks that connect model improvements to user outcomes. Enable systematic experimentation with direct user feedback loops. Requirements: Technical Background: Bachelor's or Master's degree in Computer Science, Machine Learning, or related field. 3+ years experience in ML infrastructure development or large-scale data engineering. Strong programming skills, particularly in Python and distributed computing frameworks. Expertise in building and optimizing high-throughput data pipelines. Proven experience with video/image data pre-processing and feature engineering. Deep knowledge of machine learning workflows, including model training and data loading systems. System Development: Track record in performance optimization and system scaling. Experience with cluster management and distributed computing. Background in MLOps and infrastructure monitoring. Demonstrated ability to build reliable, large-scale data processing systems. Engineering Approach: Love tackling hard technical problems head-on. Take ownership while knowing when to loop in teammates. Get excited about improving system performance. Want to work directly with researchers and engineers who are equally passionate about building great systems. Benefits: Comprehensive medical, dental, and vision plans 401K with employer match Commuter Benefits Catered lunch multiple days per week Dinner stipend every night if you're working late and want a bite! Grubhub subscription Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc) Multiple team offsites per year with team events every month Generous PTO policy Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please note benefits apply to full time employees only.

Job Description Mirage is the leading AI short-form video company. We're building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage's products to reach their full creative and commercial potential. We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you'll have an opportunity to have an outsized impact on our products and our company's culture. Our Products Captions Mirage Studio Our Technology AI Research @ Mirage Mirage Model Announcement Seeing Voices (white-paper) Press Coverage TechCrunch Lenny's Podcast Forbes AI 50 Fast Company Our Investors We're very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. ** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** About the Role As an expert in making AI models run fast-really fast-you live at the intersection of CUDA, PyTorch, and generative models, and get excited by the idea of squeezing every last bit of performance out of modern GPUs. You will have the opportunity to turn our cutting-edge video generation research into scalable, production-grade systems. From designing custom CUDA or Triton kernels to profiling distributed inference pipelines, you'll work across the full stack to make sure our models train and serve at peak performance. Key Responsibilities Optimize model training and inference pipelines, including data loading, preprocessing, checkpointing, and deployment, for throughput, latency, and memory efficiency on NVIDIA GPUs Design, implement, and benchmark custom CUDA and Triton kernels for performance-critical operations Integrate low-level optimizations into PyTorch-based codebases, including custom ops, low-precision formats, and TorchInductor passes Profile and debug the entire stack-from kernel launches to multi-GPU I/O paths-using Nsight, nvprof, PyTorch Profiler, and custom tools Work closely with colleagues to co-design model architectures and data pipelines that are hardware-friendly and maintain state-of-the-art quality Stay on the cutting edge of GPU and compiler tech (e.g., Hopper features, CUDA Graphs, Triton, FlashAttention, and more) and evaluate their impact Collaborate with infrastructure and backend experts to improve cluster orchestration, scaling strategies, and observability for large experiments Provide clear, data-driven insights and trade-offs between performance, quality, and cost Contribute to a culture of fast iteration, thoughtful profiling, and performance-centric design Required Qualifications Bachelor's degree in Computer Science, Electrical/Computer Engineering, or equivalent practical experience 3+ years of hands-on experience writing and optimizing CUDA kernels for production ML workloads Deep understanding of GPU architecture: memory hierarchies, warp scheduling, tensor cores, register pressure, and occupancy tuning Strong Python skills and familiarity with PyTorch internals, TorchScript, and distributed data-parallel training Proven track record profiling and accelerating large-scale training and inference jobs (e.g., mixed precision, kernel fusion, custom collectives) Comfort working in Linux environments with modern CI/CD, containerization, and cluster managers such as Kubernetes Preferred Qualifications Advanced degree (MS/PhD) in Computer Science, Electrical/Computer Engineering, or related field Experience with multi-modal AI systems, particularly video generation or computer vision models Familiarity with distributed training frameworks (DeepSpeed, FairScale, Megatron) and model parallelism techniques Knowledge of compiler optimization techniques and experience with MLIR, XLA, or similar frameworks Experience with cloud infrastructure (AWS, GCP, Azure) and GPU cluster management Ability to translate research goals into performant code, balancing numerical fidelity with hardware constraints Strong communication skills and experience mentoring junior engineers Benefits: Comprehensive medical, dental, and vision plans 401K with employer match Commuter Benefits Catered lunch multiple days per week Dinner stipend every night if you're working late and want a bite! Grubhub subscription Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc) Multiple team offsites per year with team events every month Generous PTO policy Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please note benefits apply to full time employees only. Compensation Range: $200K - $350K

at Wind River Member of Technical Staff - Cloud Security Wind River is a global leader in delivering software for mission-critical intelligent systems. For more than four decades, the company has been an innovator and pioneer, powering billions of systems that require the highest levels of security, safety, and reliability. Wind River helps customers across automotive, aerospace, defense, industrial, medical, and telecommunications industries solve complex technology challenges on their journey toward the new intelligent machine economy. The company's software powers generation after generation of the safest, most secure systems in the world. Examples include playing a key role in NASA space missions such as Artemis I, the James Webb Space Telescope, and multiple Mars rovers. We've achieved recent 5G milestones including the world's first successful 5G data session with Verizon and building one of the largest Open RAN networks in the world with Vodafone. The company has received industry recognition for its technology innovation and leadership, and for its workplace culture, including global Great Place to Work certification and being named a "Top Workplace" for ten consecutive years. If you want to be part of a unique culture where the lived experience is based on our cultural attributes of growth mindset, customer-focus, and diversity, equity, inclusion & belonging, come join us and help advance the future software defined world. YOUR ROLE As a Member of Technical Staff on our team, you'll focused on implementing modern DevSecOps technologies, pioneering new security tools, processes and capabilities for cloud-native solutions. The candidate must have experience in securing cloud-native development environments and be a highly adaptable team player who can quickly ramp up on new technologies and accomplish goals in a fast-paced agile environment. A combination of strong technical and communication skills is a must, along with an unbounded desire to learn new technologies and their application. In your daily job you will: * Secure OnPrem and Public Cloud environments leveraging IAC * Establish, implement security policies for Docker, K8s and Public Cloud Platforms * Implement and automate Application Security policies by embedding SAST, DAST, API Security and Penetration Testing in the product development workflow * Accelerate container security with pipeline development * Drive vulnerability management and remediation in partnership with various product teams * Manage and maintain secure integrations between tools like Gitlab, Jenkins, JIRA, and many more. * Implement solutions for event log collection and SIEM. HOW YOU WILL CONTRIBUTE Key skills and competencies for succeeding in this role are: * Expertise in cybersecurity principles with a desire to increase knowledge and strong analytical skills. * Experience in Architecting security features on cloud providers (Azure AWS, GCP etc.), On Prem and Hybrid environments. * Hands-on experience using tools like Coverity, BurpSuite, ZAP, Trivy, PRISMA Cloud, Tenable, Rapid7 etc. * Working experience designing and implementing Application, network, back-end security-enhancing features * Deep knowledge of vulnerability management, remediation, and troubleshooting skills * Security penetration testing & threat modelling would be a plus. * Industry standards-based documentation, certification, and accreditation such as NIST SP 800-53, NIST 800-171, FEDRAMP, and Security Technical Implement Guides (STIGs) and bringing components into compliance with these standards * Strong foundation of DevSecOps principles, Infrastructure as Code including Terraform and Helm * Container and Cluster hardening * Excellent programming skills using Python, Go etc. * Proficiency in pipeline automation leveraging Gitlab, Jenkins, Jira etc. * Secrets Management leveraging Hashicorp Vault is a plus * Experience with Agile and Scrum * Self-managed, fast learner, and strong problem-solving skills. * Excellent verbal and written communication skills and a good listener. * Exceptional team player who works well in collaborative situations. * Ability to brainstorm and represent competing ideas simultaneously. * Growth mindset who is passionate about learning and applying new technologies. * 8+ years of relevant technical experience in cybersecurity with 2+ years of experience in software engineering. * BE / MTech degree (Computer Science, Electronics Engineering, or equivalent technical degree) SECURITY CLEARANCE REQUIREMENTS Successful candidates must engage in a security clearance process in regard to their citizenship in order to perform fundamental job duties, as per applicable law. In particular, candidates with certain citizenship may not be able to perform such fundamental job duties. Currently, this includes citizens of the following countries: Belarus; Burma; China; Cuba; Iran; North Korea; Syria; Venezuela; Afghanistan; Cambodia; Central African Republic; Cyprus; Democratic Republic of Congo; Ethiopia; Eritrea; Haiti; Iraq; Lebanon; Libya; Russia; Somalia; South Sudan; Sudan; Zimbabwe. The security clearance process may take a significant amount of time to complete, and any offer of employment will be contingent on the candidate's legal ability to perform the fundamental job duties. Wind River is committed to meeting its obligations to candidates under applicable human rights law and privacy law in this regard. Compensation The annual base salary range for this role's listed grade level is currently $150,000 to $206,200 plus a bonus . Salary ranges are determined through interviews and a review of the education, experience, knowledge, skills, location, and abilities of the applicant, and equity with other team members. [ Wind River is an Equal Opportunity Employer with a commitment to diversity. We prohibit discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status. Diversity is foundational for Wind River's business success. We want to be a workplace of choice for all people and we value the unique perspectives offered by a diverse workforce. Wind River does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, citizenship, disability, protected veteran status, age, ancestry, medical condition, genetic information, marital status, pregnancy, or any other legally protected status. This principle applies to all areas of employment: recruitment and hiring, training, performance evaluations, promotions and transfers, compensation and benefits, and social and recreational programs. Wind River desires to be an employer of choice with an inclusive environment for all individuals. As part of this goal and in compliance with various laws and regulations, Wind River provides reasonable accommodation to applicants and employees. Requests for reasonable accommodation for applicants and employees are examined on a case-by-case basis. Please let us know if you need a reasonable accommodation for any part of the application, interviewing, hiring or at any other time during the employment process. You can email us at: [email protected]. Please do not include personal medical information in the email. More information about federal laws that prohibit job discrimination can be found at: www1.eeoc.gov/employers/poster.cfm ****************************************************************************************

at Wind River Member of Technical Staff - Cloud Security Wind River is a global leader in delivering software for mission-critical intelligent systems. For more than four decades, the company has been an innovator and pioneer, powering billions of systems that require the highest levels of security, safety, and reliability. Wind River helps customers across automotive, aerospace, defense, industrial, medical, and telecommunications industries solve complex technology challenges on their journey toward the new intelligent machine economy. The company's software powers generation after generation of the safest, most secure systems in the world. Examples include playing a key role in NASA space missions such as Artemis I, the James Webb Space Telescope, and multiple Mars rovers. We've achieved recent 5G milestones including the world's first successful 5G data session with Verizon and building one of the largest Open RAN networks in the world with Vodafone. The company has received industry recognition for its technology innovation and leadership, and for its workplace culture, including global Great Place to Work certification and being named a "Top Workplace" for ten consecutive years. If you want to be part of a unique culture where the lived experience is based on our cultural attributes of growth mindset, customer-focus, and diversity, equity, inclusion & belonging, come join us and help advance the future software defined world. YOUR ROLE As a Member of Technical Staff on our team, you'll focused on implementing modern DevSecOps technologies, pioneering new security tools, processes and capabilities for cloud-native solutions. The candidate must have experience in securing cloud-native development environments and be a highly adaptable team player who can quickly ramp up on new technologies and accomplish goals in a fast-paced agile environment. A combination of strong technical and communication skills is a must, along with an unbounded desire to learn new technologies and their application. In your daily job you will: * Secure OnPrem and Public Cloud environments leveraging IAC * Establish, implement security policies for Docker, K8s and Public Cloud Platforms * Implement and automate Application Security policies by embedding SAST, DAST, API Security and Penetration Testing in the product development workflow * Accelerate container security with pipeline development * Drive vulnerability management and remediation in partnership with various product teams * Manage and maintain secure integrations between tools like Gitlab, Jenkins, JIRA, and many more. * Implement solutions for event log collection and SIEM. HOW YOU WILL CONTRIBUTE Key skills and competencies for succeeding in this role are: * Expertise in cybersecurity principles with a desire to increase knowledge and strong analytical skills. * Experience in Architecting security features on cloud providers (Azure AWS, GCP etc.), On Prem and Hybrid environments. * Hands-on experience using tools like Coverity, BurpSuite, ZAP, Trivy, PRISMA Cloud, Tenable, Rapid7 etc. * Working experience designing and implementing Application, network, back-end security-enhancing features * Deep knowledge of vulnerability management, remediation, and troubleshooting skills * Security penetration testing & threat modelling would be a plus. * Industry standards-based documentation, certification, and accreditation such as NIST SP 800-53, NIST 800-171, FEDRAMP, and Security Technical Implement Guides (STIGs) and bringing components into compliance with these standards * Strong foundation of DevSecOps principles, Infrastructure as Code including Terraform and Helm * Container and Cluster hardening * Excellent programming skills using Python, Go etc. * Proficiency in pipeline automation leveraging Gitlab, Jenkins, Jira etc. * Secrets Management leveraging Hashicorp Vault is a plus * Experience with Agile and Scrum * Self-managed, fast learner, and strong problem-solving skills. * Excellent verbal and written communication skills and a good listener. * Exceptional team player who works well in collaborative situations. * Ability to brainstorm and represent competing ideas simultaneously. * Growth mindset who is passionate about learning and applying new technologies. * 8+ years of relevant technical experience in cybersecurity with 2+ years of experience in software engineering. * BE / MTech degree (Computer Science, Electronics Engineering, or equivalent technical degree) SECURITY CLEARANCE REQUIREMENTS Successful candidates must engage in a security clearance process in regard to their citizenship in order to perform fundamental job duties, as per applicable law. In particular, candidates with certain citizenship may not be able to perform such fundamental job duties. Currently, this includes citizens of the following countries: Belarus; Burma; China; Cuba; Iran; North Korea; Syria; Venezuela; Afghanistan; Cambodia; Central African Republic; Cyprus; Democratic Republic of Congo; Ethiopia; Eritrea; Haiti; Iraq; Lebanon; Libya; Russia; Somalia; South Sudan; Sudan; Zimbabwe. The security clearance process may take a significant amount of time to complete, and any offer of employment will be contingent on the candidate's legal ability to perform the fundamental job duties. Wind River is committed to meeting its obligations to candidates under applicable human rights law and privacy law in this regard. Compensation The annual base salary range for this role's listed grade level is currently $150,000 to $206,200 plus a bonus . Salary ranges are determined through interviews and a review of the education, experience, knowledge, skills, location, and abilities of the applicant, and equity with other team members. [ Wind River is an Equal Opportunity Employer with a commitment to diversity. We prohibit discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status. Diversity is foundational for Wind River's business success. We want to be a workplace of choice for all people and we value the unique perspectives offered by a diverse workforce. Wind River does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, citizenship, disability, protected veteran status, age, ancestry, medical condition, genetic information, marital status, pregnancy, or any other legally protected status. This principle applies to all areas of employment: recruitment and hiring, training, performance evaluations, promotions and transfers, compensation and benefits, and social and recreational programs. Wind River desires to be an employer of choice with an inclusive environment for all individuals. As part of this goal and in compliance with various laws and regulations, Wind River provides reasonable accommodation to applicants and employees. Requests for reasonable accommodation for applicants and employees are examined on a case-by-case basis. Please let us know if you need a reasonable accommodation for any part of the application, interviewing, hiring or at any other time during the employment process. You can email us at: [email protected]. Please do not include personal medical information in the email. More information about federal laws that prohibit job discrimination can be found at: www1.eeoc.gov/employers/poster.cfm ****************************************************************************************