Advanced Cmos Device And Process Integration Engineer Jobs

About the team: The Information Security organization advances the overall state of security at Rubrik through critical initiatives and coordination of large security projects. Information Security builds technologies, tools, and processes to better enable teams at Rubrik to develop secure software and protect data and systems with appropriate security controls. Information Security also develops systems to monitor and respond to attacks against our assets, provides awareness education to teams on security best practices for data protection, and ensures data governance and data sharing relationships with third parties in order to securely protect Rubrik information. About the role: Rubrik is hiring a Senior Manager to lead our Security Operations Center, including our FedRAMP-authorized environment. Incident response sits at the core of what the SOC does, alongside detection and monitoring, and this role owns all of it. You'll inherit a SOC that has already grown a lot in scale and maturity, and your job is to take it further: stronger detection and incident response, broader coverage as our environment gets more complex, and a real strategy for AI in the SOC. Driving our AI SOC transformation is a core part of this role. You'll be the one setting the strategy for how AI enables the SOC: scaling coverage beyond what headcount alone could support, reducing alert fatigue on L1 analysts, and giving analysts more room to focus on complex investigations and incident response. You'll also own SOC leadership for our FedRAMP environment: same detection, incident response, and operational rigor, applied to the teams and processes inside that compliance boundary. What you'll do: Team Leadership & Development- Hire, train, mentor, and evaluate SOC analysts across both commercial and FedRAMP-scoped teams. Build a culture of collaboration, ownership, and continuous learning within the SOC. Keep an eye on signal quality and analyst experience so analysts are working rea

About the team: The Information Security organization advances the overall state of security at Rubrik through critical initiatives and coordination of large security projects. Information Security builds technologies, tools, and processes to better enable teams at Rubrik to develop secure software and protect data and systems with appropriate security controls. Information Security also develops systems to monitor and respond to attacks against our assets, provides awareness education to teams on security best practices for data protection, and ensures data governance and data sharing relationships with third parties in order to securely protect Rubrik information. About the role: Rubrik is seeking a Senior Manager to oversee the Enterprise Security services function. In this role, you will be responsible for ensuring that Rubrik's Corporate Enterprise IT technologies are designed and implemented to the highest possible security standards. You will partner with a variety of stakeholders across the business to improve the security posture of SaaS applications, integrations, identity and access operations, ensure corporate endpoints are secured, wireless networks are designed and implemented securely, IOT devices are securely managed, and regularly audit for compliance to Enterprise Security standards. What you'll do: ● Design and implement security standards across Identity (Okta), Endpoint (Windows, MacOS, Linux), Secrets Management (Vault, Lastpass) and Business Applications (Salesforce, Glean, etc). ● Partner with IT and other organizations to improve the security posture of enterprise applications, integrations, and access to sensitive and business data. ● Actively participate in evaluation, development, and management of security and compliance policies within IT management systems such as JAMF, inTune, etc. ● Analyze and harden existing applications, infrastructure, automation, and deployment processes: CircleCI, Github workflows, Tines, Zapier, etc. ● W

JOB SUMMARY: Natera is seeking a Data Privacy Director to help advance and operationalize the enterprise privacy program across our commercial, clinical, and product environments. This is a broad, hands-on leadership role supporting the full range of the Privacy team's work — from privacy impact assessments and regulatory analysis to contract and legal privacy-focused reviews — with a strong business-enablement orientation. This role reports to the Vice President, Data Privacy and partners with cross-functional teams to embed privacy principles throughout the lifecycle of data, technology, and innovation initiatives. The Director may also provide guidance and mentorship to privacy team members and external resources supporting the program. The Director will also serve as a key integration point between Privacy and Product, embedding privacy-by-design into product and software development lifecycles and partnering with engineering to make privacy practical and scalable. In partnership with Medical Affairs, Clinical Operations, and Data Sciences (R&D), this leader will also enhance and maintain data governance frameworks that support clinical research initiatives and the responsible use of data for quality improvement and development activities. Together, these efforts will help strengthen Natera’s privacy program, building efficient, repeatable processes that expand team capacity while enabling responsible innovation and growth. Regarding culture, we seek people who demonstrate Natera's values, enjoy challenging problems, empower others to thrive, lead by example, and adapt their playbook when necessary. RESPONSIBILITIES: Privacy Program Enablement Lead privacy impact assessments, regulatory analyses, and risk-based recommendations that balance compliance with business enablement Conduct privacy reviews of contracts and legal engagements, drafting recommendations for counsel review, alignment, and approval Apply a risk-based lens to enable business d

Perplexity is seeking an experienced Machine Learning Engineer to advance how AI systems search, reason, and work together to solve complex problems. Our work spans search and retrieval, LLM post-training, multi-agent training, and the harnesses that make these systems effective. We control the full stack: the models, the agent harnesses, and the search infrastructure underneath. That gives us the freedom to develop new approaches across all three training models to use search more effectively, designing tools and execution environments around learned behavior, and improving retrieval to support how agents actually work. Responsibilities Push search and agent quality forward through improvements to models, training data, tools, and system design. Develop LLM post-training methods, including reinforcement learning, to improve reasoning, search, tool use, and task completion. Train and evaluate multi-agent systems, exploring how agents divide work, share information, and coordinate effectively. Design and build agent harnesses around the tools, context management, execution environments, and orchestration that support reliable work over many steps. Improve retrieval and ranking models and the search interfaces agents use to find and assess information. Build datasets, reward signals, and evaluations that expose meaningful failures and guide improvements. Own experiments end to end, from a clear hypothesis to scalable training, deployment, and measurable gains in quality, latency, and cost. Collaborate with AI, Search, Infrastructure, Data, and Product teams to bring new capabilities into production. Qualifications A strong track record of building and shipping ML systems, with deep experience in one or more of LLM post-training, reinforcement learning, search and retrieval, or agent systems. Strong software engineering skills and the ability to work across model training, experimentation infrastructure, and production systems. Experience designing rigorous evaluations

Perplexity is seeking an experienced Machine Learning Engineer to advance how AI systems search, reason, and work together to solve complex problems. Our work spans search and retrieval, LLM post-training, multi-agent training, and the harnesses that make these systems effective. We control the full stack: the models, the agent harnesses, and the search infrastructure underneath. That gives us the freedom to develop new approaches across all three training models to use search more effectively, designing tools and execution environments around learned behavior, and improving retrieval to support how agents actually work. Responsibilities Push search and agent quality forward through improvements to models, training data, tools, and system design. Develop LLM post-training methods, including reinforcement learning, to improve reasoning, search, tool use, and task completion. Train and evaluate multi-agent systems, exploring how agents divide work, share information, and coordinate effectively. Design and build agent harnesses around the tools, context management, execution environments, and orchestration that support reliable work over many steps. Improve retrieval and ranking models and the search interfaces agents use to find and assess information. Build datasets, reward signals, and evaluations that expose meaningful failures and guide improvements. Own experiments end to end, from a clear hypothesis to scalable training, deployment, and measurable gains in quality, latency, and cost. Collaborate with AI, Search, Infrastructure, Data, and Product teams to bring new capabilities into production. Qualifications A strong track record of building and shipping ML systems, with deep experience in one or more of LLM post-training, reinforcement learning, search and retrieval, or agent systems. Strong software engineering skills and the ability to work across model training, experimentation infrastructure, and production systems. Experience designing rigorous evaluations

About the Team The Global Safety and Security team advances DoorDash through the protection of people, property, operations, brand, and reputation. We deliver value through agility, technology, and a people-first mindset—creating environments where employees and guests feel safe, welcome, and confident. As DoorDash continues to evolve its workplace experience globally, our Corporate Safety and Security team is reimagining how physical security integrates seamlessly into every employee and guest interaction. The Associate, GOC Analyst will play a key role in designing and delivering this next-generation security experience. About the Role We are hiring a GOC Analyst to support DoorDash’s 24/7 Global Operations Center. Reporting to the GOC Manager, this role is responsible for real-time monitoring, incident triage, and operational response to protect DoorDash’s people, assets, and operations. As a frontline operator, you will serve as the first line of defense during emerging incidents—monitoring systems, assessing risk, executing SOPs, and escalating issues quickly and accurately. In addition to core operational response, you will apply foundational analytical skills to validate information, distinguish signal from noise, provide clear operational context that supports timely escalation and informed decision-making. You’ll operate in a high-tempo, follow-the-sun environment where clarity, discipline, and sound judgment are critical to maintaining operational resilience. You are excited about this opportunity because you will… Operate the GOC in Real Time: Monitor dashboards, alerts, inbound reports, and open-source signals to identify security, safety, and operational incidents as they emerge. Execute Incident Response with Precision: Triage incidents, follow established SOPs, and support incident command activities through accurate documentation, coordination, and information validation. Maintain Situational Awareness: Track ongoing incidents, relevant global events

We are fueled by a moral imperative to advance mankind, and it all begins with our people, our product, and our purpose. Passion isn’t something we turn on and off; it’s woven into everything we do. If you thrive in high-challenge environments, are inspired by exceptional teammates, and are driven to grow beyond what you thought possible, MX is where you belong. Come build the future with us. Join an award-winning company that isn’t just shaping the financial industry, but transforming it in ways that create meaningful, lasting impact for millions of people. Introduction to the Position MX is on a mission to improve the financial lives of everyone and, for this reason, we’re creating innovative software designed to bring financial freedom to the lives of individuals, families, and communities. Our products help consumers understand and manage their financial data, improve their financial decision-making, and strengthen connections between financial institutions and their customers. We believe that data are central to every important financial action and we’re looking for smart, driven, creative individuals to come build with us! The MX Product team is responsible for building world-class financial tools that leverage our unrivaled data assets. As consumers and institutions interact with these tools, new insights and information are created that can be transformed into even better products. In service to creating the industry's most compelling products, the Operational Analytics Team takes the lead on the company’s most computationally and analytically complex problems. If you’re keen to conduct careful analyses focused on core business problems, operational analysis, and instrumentation in an intellectually engaging environment, you’ll enjoy working at MX as a Product Analyst. As a Product Analyst, you’ll partner with colleagues from the Product and Analytics teams to complete a variety of computational activities, including analyzing c

We are fueled by a moral imperative to advance mankind, and it all begins with our people, our product, and our purpose. Passion isn’t something we turn on and off; it’s woven into everything we do. If you thrive in high-challenge environments, are inspired by exceptional teammates, and are driven to grow beyond what you thought possible, MX is where you belong. Come build the future with us. Join an award-winning company that isn’t just shaping the financial industry, but transforming it in ways that create meaningful, lasting impact for millions of people. Job Summary We are looking for a strong program leader and strategic operator who can autonomously execute complex enterprise initiatives in a dynamic, fast-paced environment. You will wear multiple hats (Technical Program Manager, Agile Coach, Process Designer, Storyteller, and Systems Thinker) to drive critical Financial Product initiatives at MX while partnering with engineering and product leadership to align on high-impact outcomes and scalable architectures. From day one, you will influence both product strategy and technical execution to help us build and improve our platform while scaling the organization itself. You will bring expertise in best-in-class frameworks for work intake, prioritization, SDLC optimization, team management, and decision-making, along with the ability to navigate technical trade-offs, increase developer velocity, and create clarity across ambiguous problems. If you are a creative problem-solver with a passion for optimizing processes, scaling businesses through analytical and general management skills, and building through sane, compassionate collaboration, this role is for you. Responsibilities Program Leadership & Delivery: Communicate goals, roles, and outcomes; drive delivery on time, within scope, and on budget. Own performance, scalability, and reliability targets for releases. Manage multiple simultaneous initiatives with time-sensitive constraints. Demonstrate financi

We’re looking for a strategic operator to help advance OpenAI’s life sciences capabilities and translate them into meaningful scientific and commercial impact. Working closely with research teams and external partners, you’ll identify opportunities to improve AI models, products, and supporting infrastructure, and lead partnerships and strategic initiatives that bring these capabilities into real scientific workflows. This role combines partnership development, strategic judgment, and hands-on execution. You’ll help determine where OpenAI can make the greatest contribution, identify the expertise and resources needed, and bring together the right partners to move from an idea to demonstrated impact. In this role, you will: Shape capability priorities. Work with research and cross-functional teams to identify and prioritize new life sciences capabilities, balancing scientific value, technical feasibility, and commercial potential. Build and execute partnerships. Develop data, research, and commercial partnerships with biotechnology companies, pharmaceutical organizations, and other participants in the life sciences ecosystem. Translate capabilities into real-world applications. Partner with external organizations to apply OpenAI’s technology in scientific workflows, evaluate its usefulness, and use those learnings to inform further development. Structure effective collaborations. Work with legal, finance, research, and other teams to define partnership scope, align incentives, and navigate data access, intellectual property, commercial terms, and governance. Lead strategic initiatives. Identify and own projects that advance scientific capabilities and create long-term value for OpenAI, including licensing, joint development, and new applications of AI. Drive operational execution. Establish clear objectives, milestones, and ownership; coordinate resources; and resolve obstacles across internal teams and external partners. Expand access to expertise. Identify gaps in

OpenAI’s Health AI team is working to ensure that advances in AI meaningfully improve health for everyone. We build AI systems that help people better understand and navigate their health while setting a high bar for safety, reliability, privacy, and user trust. On the Consumer Health team, we’re building health experiences directly into ChatGPT. People can use ChatGPT to understand health information, prepare for appointments, make sense of changes over time, and have more informed conversations grounded in their own health context. Our work sits at the intersection of consumer product engineering, AI, and healthcare. We work closely with product, design, research, safety, privacy, and other ChatGPT teams to build experiences used at global scale. About the Role We are looking for product-minded software engineers to build the next generation of consumer health experiences in ChatGPT. You will own products and features end-to-end, from early prototypes through polished experiences used by millions of people. We welcome specialists in mobile, frontend, or full-stack development; you can focus on the area where you have the most depth. This role is ideal for engineers who care deeply about craft and user experience, move quickly from idea to product, and are excited about making complex health information understandable and useful. Prior healthcare or AI experience is not required. In this role, you will: Design and build consumer health experiences across ChatGPT, including mobile, web, and full-stack product surfaces. Own features end-to-end, from early product exploration and prototyping through implementation, launch, measurement, and iteration. Build intuitive experiences for helping people understand and interact with complex personal health information. Work closely with product managers, designers, researchers, and safety experts to translate emerging AI capabilities into useful consumer products. Build experiences that let people connect their medical record

About the Team The Safety Training research team aims to fundamentally advance our capabilities for precisely implementing safe behavior in AI models, and to leverage these advances to make OpenAI’s deployed models safe and beneficial. This requires a breadth of new ML research to address the growing set of safety challenges as AI becomes more powerful and used in more settings. Key focus areas include how to train nuanced safety behaviors, how to make the model robust to bad actors, how to address privacy and security risks, and how to make the model trustworthy in safety-critical situations. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. About the Role We’re seeking a researcher to train and evaluate models for U.S. government use, with a focus on national security applications. You’ll advance safety post-training and robustness, helping models follow nuanced policies while preserving their usefulness and capabilities. In this role, you will: Research and implement methods for safety training, reinforcement learning, and adversarial robustness. Develop evaluations, identify model failure modes, and use findings to improve training. Work with research, engineering, security, and policy partners to support safe, reliable deployment. You might thrive in this role if you: Bring 4+ years of relevant AI safety research experience, including RLHF, adversarial training, or robustness. Have a degree in computer science, machine learning, or a related field, and strong deep learning research or engineering skills. Have experience improving model safety for deployment and enjoy collaborative research. Are motivated by OpenAI’s mission and the responsible use of AI in safety-critical settings. Security Requirements Active TS/SCI clearance or equivalent. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefi

About the Team OpenAI’s Legal team helps advance our mission by tackling novel legal issues in AI. Our team brings together professionals across technology, privacy, intellectual property, corporate, employment, tax, regulatory, and litigation. Our regulatory compliance work turns legal requirements into practical programs that support responsible AI development and deployment. About the Role As a Legal Program Manager focused on regulatory compliance, you will build and manage cross-functional programs that translate counsel’s guidance into practical, sustainable operations. Your initial focus may include content moderation and/or frontier AI governance, with the mix shaped by team priorities and your strengths. You will partner with internal and external counsel, other legal program managers, and technical and business teams to coordinate implementation, evidence collection, reporting, and ongoing compliance. You’ll build repeatable systems that scale across regulations, products, and jurisdictions, helping teams navigate emerging requirements with clarity and sound judgment. This full-time role is based in San Francisco, CA, or New York, NY. In this role, you will: Lead regulatory compliance programs end to end: define scope, owners, milestones, dependencies, risks, and escalation paths, and drive execution with counsel and cross-functional partners. Translate counsel’s regulatory guidance into repeatable workflows, controls, and documentation. Depending on your portfolio, this may include content moderation disclosures, transparency reporting, reporting and appeals workflows, or frontier AI model launch readiness, evaluation and risk-management evidence, and incident reporting. Build strong partnerships across Product, Engineering, User Operations, Governance, Risk and Compliance (GRC), Global Affairs, Communications, and Go-to-Market to align program priorities and deliverables. Support regulatory inquiries, audits and investigations with counsel, organizing ev

About the Team The Global Safety and Security team advances DoorDash by protecting people, property, operations, brand, and reputation. Within that team, Protective Services safeguards executives and residences through executive protection, intelligence collection, threat monitoring, residential security, and secure transportation. We manage risk and deliver value through technology and a people-first approach, and we strive to always be ahead of the curve and there for our people, anytime, anywhere. About the Role We are hiring Protective Services Associates to join the Protective Services team, providing residential security coverage and on-site protective presence in support of executives. This is the entry point on our cross-trained career ladder. Associates build proficiency across residential security, monitoring and threat reporting, and close-protection fundamentals, with a structured path to Senior Associate and beyond as you grow. Responsibilities Residential Security Coverage: Provide dedicated, round-the-clock physical security presence at a residential property as part of a rotating shift team. Monitoring & Threat Reporting: Monitor camera systems and access points, document and report security-relevant activity, and hand off findings to the team's intelligence function. Access Control: Screen and coordinate visitors, deliveries, and vendors according to established protocols. Logistics Coordination: Plan and manage the logistics of residential security operations, including scheduling, shift handoffs, and coverage during events or executive travel. Coordinate with drivers and other Protective Services team members to align movements, timing, and coverage. Incident Response: Respond to security incidents or anomalies, following established escalation procedures. Professional Conduct: Serve as a trusted, hands-on point of contact for executives, anticipating needs, exercising sound judgment in real time, and delivering discreet, concierge-level servi

Perplexity is seeking top-tier AI Research Scientists and Engineers to advance our AI products and capabilities. We're building the future of AI-powered search and agent experiences through our Sonar models, Deep Research Agent, Comet Agent, and Search products. Join us in creating SOTA experiences that handle hundreds of millions of queries and continue to scale rapidly. Team Structure Depending on your interests and expertise, you'll work on one of three specialized teams: 1. Core Research Team (Horizontal) Focus on generating and improving base models that power all our products. This team works on foundational model capabilities, post-training techniques, building RL infra and infrastructure that benefits the entire organization. 2. Agent Products Team (Vertical) Concentrate on fine-tuning and optimizing models for our Deep Research Agent and Labs/Canvas products. This team bridges research and product, ensuring our agent capabilities deliver exceptional user experiences. 3. Comet Agent Team (Vertical) Dedicated to developing and enhancing our Comet Agent product. This specialized team focuses on the unique requirements and optimizations needed for Comet's specific use cases. Responsibilities Research & Development Post-train SOTA LLMs using the latest supervised and reinforcement learning techniques (SFT/DPO/GRPO) Leverage our rich query/answer dataset to scale model performance across Sonar, Deep Research, Comet, and Search products Stay current with the latest LLM research, especially in model training, optimization, and personalization techniques Implement preference optimization and personalization capabilities to enhance user experience Invent in-house improvements and optimizations to enhance SOTA models Turn research ideas into algorithms and run experiments to launch new models Infrastructure & Implementation Own full-stack data, training, and evaluation pipelines required for model development Build robust and effective training frameworks (on

Datadog is looking for a Social Media Manager to advance our social media program. This role sits at the intersection of content creation, strategy, and corporate communications — owning the day-to-day execution of Datadog's social presence while helping shape how social supports our broader comms and marketing mission. You'll report to our Senior Group Manager of Corporate Communications, while working in close partnership with the Senior Social Media Manager and the rest of the Corporate Communications team. This is a role for someone who is equal parts creative and analytical: you can write a scroll-stopping post and explain exactly why it worked. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Manage the content calendar and day-to-day execution across social channels, including Instagram, LinkedIn, and X. Develop and execute social communication plans for product announcements, launches, global events, and other key company initiatives in partnership with communications, marketing, and cross-functional teams. Create and manage social content and programs that showcase Datadog, including employee advocacy initiatives, internal and external newsletters, and content supporting sponsored and Datadog-hosted events. Monitor social channels and engage with relevant conversations, identifying cultural moments and routing mentions that require broader support to the appropriate internal teams. Analyze social performance and translate results into actionable insights and reporting for executives and cross-functional stakeholders. Partner with the Senior Social Media Manager and larger Corporate Communications team to continually refine Datadog’s social strategy, processes, and approach to audience engagement. Who You Are: You have 4–6 years of experience in s