Staff Engineer jobs at ENSCO - 18061 jobs

A leading airline company in San Francisco is seeking an experienced aircraft maintenance engineer to analyze and resolve technical challenges, ensure regulatory compliance, and provide detailed project management. Candidates should possess a Bachelor's degree in Engineering and have extensive knowledge in airline operations. This full-time role offers competitive compensation and a comprehensive benefits package. #J-18808-Ljbffr

A dynamic tech startup in San Francisco is seeking an experienced staff-level software engineer to join their front-end development team. This role involves leading best practices and developing a world-class team. Candidates should have 6+ years of front-end web development experience, particularly with Typescript and React. The position offers a competitive salary of $180,000 - $220,000 with equity options and flexible work conditions. #J-18808-Ljbffr

A leading messaging platform in San Francisco is seeking a Staff Engineer to lead mobile efforts in Search and AI. This role demands at least 7 years of mobile engineering experience, guiding technical strategies to enhance user experiences. Candidates should possess strong skills in Swift and iOS frameworks, alongside a collaborative mindset to work with product teams. This position offers competitive compensation and a vibrant work culture. #J-18808-Ljbffr

A leading technology company based in San Francisco is looking for a talented software engineer to join the Distributed Data Services Team. You will design and maintain edge caching services that are critical to core functionalities. The ideal candidate has 4+ years of experience with large-scale systems, strong operational reliability understanding, and is skilled in modern development practices. Opportunities for growth and collaboration in an inclusive environment are key drivers of this role. #J-18808-Ljbffr

## Job DescriptionThe Agentic Tribe is revolutionizing the chatbot and voice assistance landscape with Gen3, a cutting-edge AI Agent system that's pushing the boundaries of conversational AI. Gen3 isn't your typical chatbot; it's a goal-oriented, dynamic, and truly conversational system capable of reasoning, planning, and adapting to user needs in real-time. By leveraging a multi-agent architecture and advanced language models, Gen3 delivers personalized and engaging user experiences, moving beyond scripted interactions to handle complex tasks and "off-script" inquiries with ease.## About the Role:We're seeking a highly experienced and influential Staff AI Agent Engineer to join our team. In this role, you'll be dedicated to driving innovation and technical leadership at the forefront of AI technology, with a focus on designing, developing, and deploying intelligent, autonomous agents that leverage Large Language Models (LLMs) to streamline operations. You'll shape the cognitive architecture for our AI-powered applications, creating systems that can reason, plan, and execute complex, multi-step tasks, and guiding other engineers. You'll own critical, cross-cutting technical initiatives that impact multiple teams, serve as a go-to expert for complex problems, and proactively engage with a broad range of stakeholders to influence strategy and execution.### ## What You will Do (Responsibilities):* Architect, design, and lead the development of robust, stateful, and scalable AI agents using Python and modern agentic frameworks (e.g., LangChain, LlamaIndex), setting technical direction and best practices for engineering teams.* Strategize and oversee the integration of AI agent solutions with existing enterprise systems, databases, and third-party APIs to create seamless, end-to-end workflows across the product, identifying and mitigating architectural risks.* Evaluate and select appropriate foundation models and services from third-party providers (e.g., OpenAI, Anthropic, Google), analyzing their strengths, weaknesses, and cost-effectiveness for specific use cases.* Own and drive the entire lifecycle of AI Agent deployment, from concept to production and beyond for large, ambiguous, or highly complex initiatives-collaborate closely with cross-functional teams, including product leadership, ML scientists to understand strategic needs and deliver highly effective agent solutions.* Troubleshoot, debug, and optimize complex AI systems, ensuring exceptional performance, reliability, and scalability in production environments, and mentoring other engineers in advanced problem-solving techniques.* Define, establish, and continuously improve platforms and methodologies for evaluating AI agent performance, setting key metrics, driving iterative improvements across the organization, and influencing industry best practices.* Establish and enforce best practices for documentation of development processes, architectural decisions, code, and research findings to ensure comprehensive knowledge sharing and maintainability across the team and wider engineering organization.* Mentor and guide more junior and mid-level developers, fostering a culture of technical excellence and continuous learning, and contributing to the growth and career development of others.### ## Core Technical Competencies:* Expert in LLM-Oriented System Design: Architecting and designing complex multi-step, tool-using agents (e.g., LangChain, Autogen). Deep understanding of prompt engineering, context management, and LLM behavior quirks (e.g., hallucinations, determinism, temperature effects). Ability to implement advanced reasoning patterns like Chain-of-Thought and multi-agent communication.* Mastery of Tool Integration & APIs: Designing and implementing secure and scalable integrations of agents with external tools, databases, and APIs (e.g., OpenAI, Anthropic) in complex execution environments, often involving novel solutions or significant architectural considerations.* Retrieval-Augmented Generation (RAG): Designing, building, and optimizing highly performant and robust RAG pipelines with vector databases, chunking, and sophisticated hybrid search techniques* Leadership in Evaluation & Observability: Defining, implementing LLM evaluation frameworks and comprehensive monitoring for latency, accuracy, and tool usage across production systems, influencing the observability strategy.* Safety & Reliability: Designing and implementing state-of-the-art defenses against prompt injection and robust guardrails (e.g., Rebuff, Guardrails AI) and complex fallback strategies.* Performance Optimization: Deep expertise in managing LLM token budgets and latency through smart model routing, caching (e.g., Redis), and other advanced optimization techniques, identifying and addressing systemic performance bottlenecks.* Planning & Reasoning: Designing and implementing cutting-edge agents with long-term memory and highly complex planning capabilities (e.g., ReAct, Tree-of-Thought)* Programming & Tooling: Expert in Python, FastAPI, and LLM SDKs; extensive experience and strategic contributions with cloud deployment (AWS/GCP/Azure) and CI/CD for complex AI applications.Bonus Points (Preferred Qualifications)* Ph.D / Masters in a relevant field (e.g., Computer Science, AI, Machine Learning, NLP).* Comprehensive understanding of foundational ML concepts (attention, embeddings, transfer learning)* Experience adapting academic research into production-ready code.* Familiarity with fine-tuning techniques (e.g., PEFT, LoRA).**The Interview Process:**We are excited to learn more about you, so we want to be transparent about what you can expect from our interview process: 1. Initial Call with Talent Team - 15 mins2. Interview with one member of the Hiring Team - 45 minutes3. Take-home technical challenge4. A technical interview with two of our developers to talk more in-depth about your technical experience and answer any questions you might have - 1 hour5. Final interview with 2 of the following: CTO or Engineering Manager/Director - 45 minutes## About ZendeskZendesk builds software for better customer relationships. It empowers organizations to improve customer engagement and better understand their customers. Zendesk products are easy to use and implement. They give organizations the flexibility to move quickly, focus on innovation, and scale with their growth. More than 100,000 paid customer accounts in over 150 countries and territories use Zendesk products. Based in San Francisco, Zendesk has operations in the United States, Europe, Asia, Australia, and South America.to learn more about how we engage with, and provide support to, our local communities. Zendesk is an equal opportunity employer, and we're proud of our ongoing efforts to foster in the workplace. Individuals seeking employment at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.By submitting your application, you agree that Zendesk may collect your personal data for recruiting, global organization planning, and related purposes. Zendesk's explains what personal information Zendesk may process, where Zendesk may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Zendesk's use of your personal information.#LI-MK12Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific #J-18808-Ljbffr

A leading AI contracting platform in San Francisco seeks a Generative AI Application Developer to drive the development of innovative legal AI features. You will work on building and deploying scalable solutions using TypeScript, Node.js, and React. The ideal candidate has profound experience with LLMs and proven SaaS expertise. This role offers a competitive salary and a comprehensive benefits package. #J-18808-Ljbffr

A leading tech company in San Francisco is seeking a Staff Software Engineer for their Google Cloud division. The role demands providing technical leadership and influencing a distributed team on high-impact projects. Candidates should possess a Master's or PhD in Engineering or Computer Science, along with 3 years of technical leadership experience. The position offers a competitive salary range of $197,000-$291,000, along with equity and benefits. Strong proficiency in software development and project management is essential. #J-18808-Ljbffr

A leading technology company in Seattle seeks a Staff Full Stack Software Engineer to drive technical solutions in building scalable, cloud-based systems. You will mentor engineers, set high standards for technical work, and collaborate across teams to tackle complex challenges. Ideal candidates have over 8 years of experience in software engineering and a strong background in backend technologies. The role offers competitive compensation, including a base salary between USD 168,750 and USD 270,000, alongside various benefits. #J-18808-Ljbffr

A global technology company is looking for a seasoned software engineer to enhance AI capabilities within their observability platform. Candidates should have a strong background in AI/ML systems, cloud computing, and robust technical leadership. This role is pivotal in driving innovation in data analysis and delivering scalable solutions. The ideal candidate will thrive in an agile environment and provide mentorship to junior engineers. Enjoy competitive salaries and benefits while contributing to impactful technology solutions. #J-18808-Ljbffr

A leading platform for human + AI collaboration in San Francisco seeks a Staff CI/CD Engineer to enhance and develop high-performance CI/CD pipelines. The ideal candidate will have extensive experience in software engineering, particularly in CI/CD for large-scale environments, and possess strong leadership abilities. This role offers competitive compensation ranging from $248,000 to $282,000 annually, along with additional benefits and a hybrid work model. #J-18808-Ljbffr

A leading technology company in Santa Clara seeks an experienced ASIC Design Engineer specializing in GPU/ML Shader Core. In this role, you will define micro-architecture, implement RTL, and collaborate with various engineering teams. Ideal candidates will have experience in micro-architecture and an undergraduate degree in Computer Engineering or Electrical Engineering. Enjoy a vibrant culture that fosters innovation and teamwork, while pushing the boundaries of next-generation computing. This role does not offer visa sponsorship. #J-18808-Ljbffr

A leading technology company in Seattle is seeking a Large Machine Learning Model Optimization Engineer. You will drive the development of on-device ML models, collaborate across teams, and implement optimization techniques for performance improvement. A BS degree and strong Python skills are required, alongside a passion for shipping machine learning models. The role offers a competitive salary ranging from $139,500 to $258,100, along with comprehensive benefits and stock options. #J-18808-Ljbffr

A leading cloud infrastructure provider is seeking a Senior Product Security Engineer in San Francisco, CA. In this role, you will assess security risks for new products and features, collaborate with engineering teams, and champion a security culture. The ideal candidate will possess expertise in secure architecture design and a passion for mentoring. This remote role offers a competitive salary, ranging from $161,000 to $220,000, along with benefits and growth opportunities. #J-18808-Ljbffr

Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you'll find your place here. We value winning together-while learning, having fun, and making a profound difference for the dreamers and builders in the world. We're looking for a Senior Product Security Engineer who is passionate about partnering with engineers to assess the security risk of new products and features. As a member of the Secure Design team, you will report to the Senior Manager of Product Security. Our Secure Design team enables DigitalOcean to build secure‑by‑design products. We leverage strong relationships with both product teams and the rest of security engineering to be successful. Our scope is primarily focused on reviewing early‑stage decisions, helping develop threat models, scaling impact via automation, curating security patterns, authoring security guidance, training, and championing security initiatives. You will collaborate with other security teams and the rest of DigitalOcean to guide secure architecture design, reduce security risk in the organization, and empower engineers to make informed security decisions. Security at DO means solving incredibly complex problems at a high‑scale that have real impact for our customers, our products, and the larger internet community. What you'll do: Threat model application designs and solutions and provide security risk assessments (70%) Provide deep technical expertise in software and network architecture during holistic assessments of security layers across infrastructure, application, people, and process. Collaborate with product managers, designers, and engineers to threat model and architect secure and resilient systems. Identify the trade‑offs of different solutions and recommend the efficient design to achieve both functional goals and security requirements. Provide hands‑on remediation guidance to development teams. Cultivate and promote a security culture (20%) Champion an internal security culture (developer training, internal CTFs, etc.). Mentor software engineering teams in security best practices. Help DigitalOcean engineers understand how security events impact them. Do they need to worry about the next Log4j CVE? How does RetBleed impact DigitalOcean's fleet? Build security tooling and automations to help scale the Product Security team's practices (10%) Use software architecture and coding patterns to reduce the impact of security issues. Drive architecture, patterns, and processes across engineering that make security the easiest path. Integrate custom security tooling into engineering workflows. What you'll add to DigitalOcean: Required qualifications: Experience leading architectural changes or complex cross team efforts to mitigate security vulnerabilities. Ability to clearly communicate security topics and vulnerability classes (e.g. OWASP Top Ten) and ability to provide actionable direction to product teams. A record of partnering with internal engineering teams to tackle security problems across an entire stack with empathy and creativity. Engineering teams are our partners, not our adversaries. Working knowledge of modern development concepts (virtualized environments, containerization, continuous integration + delivery). Preferred qualifications: 3+ years experience guiding software teams on secure architecture design. Experience building or reviewing threat models and ability to craft malicious user, attacker, and abuse/misuse cases. Working knowledge of hardware and software supply chain security. Compensation Range: $161,000 - $220,000 *This is a remote role. Why You'll Like Working for DigitalOcean We innovate with purpose. You'll be a part of a cutting‑edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions. We prioritize career development. At DO, you'll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high‑performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development. We care about your well‑being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences. We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program. DigitalOcean is an equal‑opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. #J-18808-Ljbffr

A global technology company based in California seeks a talented individual to design and develop Deep Learning architectures. This role involves creating intelligent experiences through innovative Machine Learning solutions, collaborating with various teams, and requires a strong programming background. Candidates should hold a Bachelor's degree in Computer Science or similar, with familiarity in Python, Objective C, or Swift and relevant project experience. Competitive salary and extensive benefits offered. #J-18808-Ljbffr

A leading aerospace and defense company is looking for a Senior Principal Electronics Engineer - Hardware and Software Integration Lead in San Diego. This role involves leading the development of next-generation ground system solutions, managing software supplier interactions, and coordinating various engineering efforts. Candidates should have a strong background in STEM, relevant work experience, and active security clearance. The position requires on-site work but could offer hybrid options in the future. #J-18808-Ljbffr

A leading cloud software company is seeking a Staff Product-Driven Backend Engineer in San Francisco. The role involves designing scalable systems and APIs, collaborating with cross-functional teams, and contributing to innovative features that enhance user experience. Ideal candidates will have over 10 years of experience in web applications and familiarity with PHP, Java, and MySQL. Join to help redefine enterprise collaboration through advanced integrations with Slack. #J-18808-Ljbffr

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's mostinnovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as theyprovide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days arethe same. About the job you're considering Position: IC CAD Engineer - Analog Mixed-Signal Flow Automation About the Role We are seeking a skilled IC CAD Engineer to support our Analog Mixed-Signal (AMS) design teams. In this role, you will be responsible for maintaining and enhancing the CAD infrastructure, automating design flows, and supporting physical verification processes. You will collaborate closely with both analog and digital design teams, ensuring efficient and reliable design environments. Key Responsibilities Administer and maintain the CAD/EDA environment for analog and digital IC design teams. Support and enhance design flows using tools from Cadence, Synopsys, Mentor, Keysight, Ansys, and others. Develop and maintain automation scripts using Python and other scripting languages. Manage and customize physical verification tools and decks (DRC, LVS, PEX, EM/IR, ESD, etc.). Support PDK administration, including installation, regression testing, and custom PDK development (pcells, models, rule decks). Collaborate with infrastructure teams to ensure optimal performance and availability of compute resources. Provide layout and verification support to design teams across global locations. Required Qualifications Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related field. 4+ years of experience in CAD engineering for IC design. Proficiency in Cadence Virtuoso, Calibre DRC/LVS, and other industry-standard tools. Strong scripting skills in Python, SKILL, and Perl. Solid understanding of analog and digital design flows. Experience with EMIR analysis, physical verification (DRC/LVS/PEX/ERC), and waiver handling. Strong fundamentals in software development and automation. Excellent communication skills and ability to work effectively with remote teams. Preferred Experience Hands‑on experience with tools from Keysight and Ansys. Familiarity with custom PDK development and automated regression testing. Job Description - Grade Specific Focus on Electrical, Electronics and Semiconductor. Fully competent in own area. Acts as a key contributor in a more complexor critical environment. Proactively acts to understand and anticipates client needs. Manages costs and profitability for a work area. Manages own agenda to meet agreed targets. Develop plans for projects in own area. Looks beyond the immediate problem to the wider implications. Acts as a facilitator, coach and moves teams forward. The base compensation range for this role in the posted location is: [$65,200 - $158,550 /yr] Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non‑negotiable benefits package to all regular, full‑time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A‑F), defined by policy: Vacation: 12‑25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end‑to‑end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market‑leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. When you join Capgemini, you don't just start a new job. You become part of something bigger. We bring together passionate, skilled people, a tech‑driven approach to innovation, and a deep commitment to our clients to help organizations unlock the true value of technology. As a graduate or an experienced professional, you will be working with the world's leading brands to enhance and transform the way they do business. #J-18808-Ljbffr

A leading AI research company in San Francisco is seeking a Software Engineer for the Fleet Hardware team. This role focuses on ensuring the reliability and uptime of compute fleets, minimizing hardware failures. Responsibilities include building automation systems, collaborating with various technical teams, and developing monitoring tools. Ideal candidates have experience with large-scale server environments and proficiency in languages like Python or Go. OpenAI values safety and seeks individuals who can navigate complex hardware systems. #J-18808-Ljbffr