Lead Mechanical Engineer jobs at Capgemini - 10991 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 leading technology company in Santa Clara is seeking a Mechanical Engineer with over 9 years of experience in automated process development. The candidate will be responsible for defining system specifications, selecting components, and collaborating with internal customers. Proficiency in SolidWorks and an understanding of laser technology are preferred. This role requires attention to detail in design documentation and the ability to work both independently and as part of a team. #J-18808-Ljbffr

At Kargo, our mission is to build a connective tissue between the physical world of freight and the digital ecosystem used to manage it. We believe that advancements in smart infrastructure are critical to enabling a safer and more efficient future for logistics. Our loading dock sensor platform verifies all incoming and outgoing freight, aggregating data that enables shippers and carriers to efficiently manage dock operations, switch out suppliers and understand material flow in real time. We care deeply about delivering the best solutions for our customers. As a member of the Kargo team, you will have the opportunity to develop and deploy tomorrow's hardware & software solutions and help revolutionize logistics. Responsibilities Lead sustaining engineering for existing products. Lead development efforts on next generation products. Manage rapid prototyping efforts in machine shop. Develop CAD models and simulations in the designs of your responsible parts. Design fixtures and test set ups to validate designs. Document designs and test results. Draft drawings for all responsible parts and integrate into PLM. Experience 3+ years experience in Mechanical Design or related role. Strong fundamentals in mechanical engineering first principles. Experienced in CAD software (SolidWorks preferred). Experienced in using SolidWork PDM and PLM softwares (Arena preferred). Experience in Design for Manufacturing principles. Experienced in electronics packaging design. (Preferred) Experience in optics design cameras and/or lighting. (Preferred) Structural or thermal design and simulation experience. Bachelor's Degree or the equivalent experience in a technical discipline preferred. Kargo is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. #J-18808-Ljbffr

A leading technology company is seeking a Mechanical Design Engineer to lead sustaining engineering efforts for existing products and develop next-generation solutions. The ideal candidate will have 3+ years of experience in mechanical design, strong fundamentals in engineering, and proficiency in CAD tools like SolidWorks. A Bachelor's degree in a relevant discipline is preferred. Join us to revolutionize logistics with cutting-edge hardware and software solutions. #J-18808-Ljbffr

A leading semiconductor company in San Jose is seeking a Staff Power Module Design Engineer. You'll develop innovative power module products and collaborate with industry experts. The role requires a strong educational background in Power Electronics and significant experience in switching power converter design. This position offers competitive pay within a vibrant engineering team, fostering professional growth and mentorship opportunities. #J-18808-Ljbffr

Responsibilities Work with internal customers to define the automated system specifications. Select the main components, such as motion stages, vision components, sensors, pneumatical components, commercial tooling, frame, and etc. Layout the system and review the initial design with the customer. Detailed design all subsystems and related components. Generate necessary part drawings for part manufacturing. Work with technicians and manage the system assembly. Modify and improve the system design as needed. Design and implement automated assembly, test, and inspection systems for company internal customers. Utilize SolidWorks software to layout and design the automated system, subsystem, components, etc. Generate drawings for mechanical parts machining and surface treatment. Create BOM for the system support and additional system building. Document all designs in Agile database. Collaborate with teams to develop and transfer the new process to manufacturing site. Education & Experience Minimum 9 yr. of mechanical engineering experience in automated process and test systems development is a must. BS/MS in Mechanical Engineering or equivalent degree. Familiar with small tooling fixture design is preferred. Knowledge of laser technology is preferred. Skills Experience with semi-automated and automated processing systems. Familiarity with Microsoft Office, such as Power Point, Excel, and Word. Meticulous and thorough; diligent with design documentation. Ability to speak, read, write, and comprehend English is required. Integrity and self-motivated Ability to work in fast paced team and independent setting. Knowledge of machining, vision, and electrical engineering is useful. Working Conditions Primarily office-based with regular time spent in lab or manufacturing environments for system assembly, testing, and troubleshooting. May require occasional lifting of mechanical components or tools (up to 25 lbs) during equipment assembly. Frequent use of computer-aided design (CAD) software and other engineering tools in a seated position for extended periods. Occasional travel to manufacturing sites or supplier locations may be required to support equipment transfer or installation. Exposure to standard shop-floor conditions, including noise, moving mechanical parts, and the need for personal protective equipment (PPE). Physical Requirements Onsite or hybrid work. Ability to lift and move mechanical components or equipment weighing up to 25 pounds during system assembly or testing. Must be able to stand, walk, bend, and reach in a lab or manufacturing environment for extended periods when supporting equipment builds or troubleshooting. Safety Requirements All employees are required to follow the site EHS procedures and Coherent Corp. Corporate EHS standards. Quality and Environmental Responsibilities Depending on location, this position may be responsible for the execution and maintenance of the ISO 9000, 9001, 14001 and/or other applicable standards that may apply to the relevant roles and responsibilities within the Quality Management System and Environmental Management System. Culture Commitment Integrity - Create an Environment of Trust Collaboration - Innovate Through the Sharing of Ideas Accountability - Own the Process and the Outcome Respect - Recognize the Value in Everyone Enthusiasm - Find a Sense of Purpose in Work Coherent Corp. is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Note to recruiters and employment agencies: We will not pay for unsolicited resumes from recruiters and employment agencies unless we have a signed agreement and have required assistance, in writing, for a specific opening. Job Info Job Identification 2009041 Posting Date 10/21/2025, 06:50 PM Degree Level Bachelor's Degree Job Schedule Full time Locations 5100 Patrick Henry Drive, Santa Clara, CA, 95054, US (On-site) #J-18808-Ljbffr

5+ years of mechanical design experience. Knowledge of a variety of (metal) manufacturing methods, e.g. machining, stamping, molding, welding, brazing, casting, plating, 3D printing, etc. Knowledge and experience in sheet metal fabrication and rack and chassis designs Strong analytical and computational skills in structural, heat transfer, fluid dynamics, and tolerance studies for mechanical and thermal consideration. Able to multitask between several projects and designs and handle a lot of details. Must be self-motivated with the ability to work effectively in a team environment and meet project deadlines. Skills Leadership capabilities to command design decision. Strong interpersonal, teaming, and problem-solving skills. Work effectively with other members of Coherent engineering Strong collaborative and communications skills are required for interactions with customers, with the design, process, and manufacturing teams. Strong analytical problem-solving skills for product design and debug Working Conditions This position is on-site May require occasional off-site meetings or travel Regular use of a computer and other office equipment is necessary Interaction with team members and external contacts is a regular part of the job May require occasional overtime and flexibility in work hours to accommodate the executive's needs Physical Requirements Sitting for extended periods while working on a computer or conducting meetings. Use of hands and fingers for typing, writing, and handling documents. Occasional lifting of objects or materials up to 20 pounds for administrative tasks. Ability to communicate verbally and in writing. Mobility within the office environment to attend meetings or interact with colleagues. Safety Requirements All employees are required to follow the site EHS procedures and Coherent Corp. Corporate EHS standards. Quality and Environmental Responsibilities Depending on location, this position may be responsible for the execution and maintenance of the ISO 9000, 9001, 14001 and/or other applicable standards that may apply to the relevant roles and responsibilities within the Quality Management System and Environmental Management System. CultureCommitment Integrity - Create an Environment of Trust Collaboration - Innovate Through the Sharing of Ideas Accountability - Own the Process and the Outcome Respect - Recognize the Value in Everyone Enthusiasm - Find a Sense of Purpose in Work Coherent Corp. is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Coherent is a global leader in lasers, engineered materials and networking components. We are a vertically integrated manufacturing company that develops innovative products for diversified applications in the industrial, optical communications, military, life sciences, semiconductor equipment, and consumer markets. Coherent provides a comprehensive career development platform within an environment that challenges employees to perform at their best, while rewarding excellence and hard-work through a competitive compensation program. It's an exciting opportunity to work for a company that offers stability, longevity and growth. Come Join Us! Note to recruiters and employment agencies: We will not pay for unsolicited resumes from recruiters and employment agencies unless we have a signed agreement and have required assistance, in writing, for a specific opening. About the Team II-VI Aerospace & Defense is a high technology company, offering careers in offices and campuses in California, Colorado, Florida, Pennsylvania, and Ohio. We work with emerging technology in areas of atmospheric sensing and imaging, adaptive optics, optical communications, coherent beam combining, and numerical performance analysis of atmospheric optics systems. II-VI A&D has recently been awarded several new government contracts and we are offering opportunities to leverage your technical experience and interpersonal skills for something more than a simple paycheck. If this sounds like the type of environment you are seeking at this point in your career, and if your background meets these qualifications, please apply. We will offer a competitive salary and benefits. Since II-VI A&D is a rapidly expanding organization, it means that significant opportunities exists for career advancement and professional development. Job Info Job Identification 2009614 Posting Date 01/13/2026, 05:14 PM Degree Level Master's Degree Job Schedule Full time Locations 48800 Milmont Drive, Fremont, CA, 94538, US (On-site) #J-18808-Ljbffr

A leading robotics company in Waltham is seeking a Principal Mechanical Engineer for its Spot robot team. You will lead cross-functional teams to develop and implement complex robotic subsystems. The ideal candidate must hold a BSME with at least 10 years of relevant experience, including advanced skills in CATIA and strong technical writing. This position offers a competitive salary range and generous benefits including medical, dental, vision, 401(k), and paid time off. #J-18808-Ljbffr

A global semiconductor company in San Jose is seeking a Principal Power Module Design Engineer. This role involves new product development in power electronics, requiring at least a master's or Ph.D. in Power Electronics and 5+ years of experience in related design. Applicants should possess strong skills in switching power converter design and analog circuit design. The position offers competitive compensation, a collaborative environment, and opportunities for professional growth. #J-18808-Ljbffr

A leading semiconductor company in San Jose seeks a Senior Engineer in Product Engineering to manage new product introductions and production support. Candidates should have a Master's degree in Electrical Engineering and two years of relevant experience. Responsibilities include interfacing with manufacturing, conducting failure analyses, and implementing process improvements. This role offers competitive pay and benefits, including healthcare coverage and a performance-based bonus. #J-18808-Ljbffr

corporate_fare Google place Sunnyvale, CA, USA Apply Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. 1 year of experience with physical design. Preferred qualifications: Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture. Experience with scripting languages such as Perl, Python, or Tcl. Experience with constraints, synthesis or clock tree synthesis (CTS). Experience in block/subchip level place and route for SoC or with multiple-cycles of SoC in ASIC design. About the job In this role, you'll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting‑edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You'll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML‑driven systems. As a Physical Design Engineer, you will collaborate with RTL, design for testing (DFT), floorplan, and full‑chip signoff teams. Additionally, you will solve technical problems with micro‑architecture and practical logic circuits solutions, while evaluating design options with optimized performance, power, and area in mind. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting‑edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world‑leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. The US base salary range for this full‑time position is $113,000-$161,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities Participate in the physical design of blocks for TPU chips. Contribute to the design and closure of the subchip and individual blocks from RTL-to-GDS. Collaborate with RTL/Design and physical design (PD) teams to achieve the best power/performance/area (PPA) possible. Conduct feasibility studies for new microarchitectures as well as optimizing runs for best quality of result (QoR). Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. #J-18808-Ljbffr

corporate_fare Google place Sunnyvale, CA, USA Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Apply link Copy link Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. 4 years of experience with physical design. Experience in physical design areas such as synthesis, place and route, Static Timing Analysis (STA), verification, or power analysis. Preferred qualifications: Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture. Experience in block/subchip level PnR for complex SoC. Experience with multiple-cycles of SoC in ASIC design. Experience with scripting languages such as Perl, Python, or Tcl. Experience with layout verification and design rules. Experience in IP integration (e.g., memories, IO's and Analog IP) with the knowledge of semiconductor device physics and transistor characteristics. About the job In this role, you'll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You'll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. As a System on a Chip (SoC) Physical Design Engineer, you will collaborate with Register-Transfer Level (RTL), Design for Testing (DFT), Floorplan, and full-chip Sign off teams. Additionally, you will solve technical problems with innovative micro-architecture and practical logic circuits solutions, while evaluating design options with optimized performance, power, and area in mind. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. The US base salary range for this full-time position is $132,000-$189,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google . Responsibilities Participate in the Physical Design of blocks for complex Tensor Processing Unit (TPU) chips. Contribute to the design and closure of the subchip and individual blocks from Register-Transfer Level-to-Graphic Design System . Collaborate with RTL/Design and Product Development teams to achieve the best Power Performance Area (PPA) possible. This includes conducting feasibility studies for new micro-architectures as well as optimizing runs for best Quality of Results (QoR). Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. #J-18808-Ljbffr

Apply Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Qualifications PhD degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. Academic, educational, internship, or project experience with physical design. Preferred qualifications Experience in scripting using Languages like Python, Tcl, Perl. Proficiency in fundamental SoC architecture and hardware description languages such as Verilog, facilitating effective collaboration with logic design teams to resolve timing issues. Knowledge of fundamental VLSI and physical design principles, including expertise in semiconductor device physics and transistor structures (e.g., finfet, Gate all around). Understanding of Static Timing Analysis(STA), Clock Domain Crossings (CDC), clock/power distribution and analysis, RC extraction and correlation, place and route, circuit design and analysis. Understanding of standard cells, SRAMs, power, noise, and IR analysis. About the job In this role, you'll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting‑edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You'll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML‑driven systems. As a Physical Design Engineer, you will collaborate with Register‑Transfer Level (RTL), Design for Testing (DFT), floorplan, and full‑chip sign off teams. Additionally, you will solve technical problems with innovative micro‑architecture and practical logic circuits solutions, while evaluating design options with optimized performance, power, and area in mind. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting‑edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world‑leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. The US base salary range for this full‑time position is $132,000-$189,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google . Responsibilities Participate in the physical design of blocks for complex Tensor Processing Unit (TPU) chips. Contribute to the design and closure of the subchip and individual blocks from Register‑Transfer Level‑to‑Graphic Design System (RTL2GDSII). Collaborate with RTL/Design and Product Development teams to achieve the best Power Performance Area (PPA) possible. This includes conducting feasibility studies for new micro‑architectures as well as optimizing runs for best Quality of Results (QoR). Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. #J-18808-Ljbffr

A leading technology company in San Jose is seeking an experienced engineer to join their analog/mixed signal IP design team. This role involves designing next generation I/O interfaces, with a strong emphasis on mixed signal design and leading technical projects. The ideal candidate will possess a degree in Electrical Engineering and have hands-on experience with high speed designs and communication tools. This position offers competitive benefits and is not eligible for visa sponsorship. #J-18808-Ljbffr

A cutting-edge AI lab in San Francisco is seeking experienced end-to-end engineers to join their small, talent-dense team. The role involves building innovative software products, enhancing user experiences, and collaborating closely with product teams. Ideal candidates should have experience with Python, Typescript, and React. Strong achievers who thrive in fast-moving environments are encouraged to apply. #J-18808-Ljbffr

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud‑based solutions for search, security, and observability help organizations deliver on the promise of AI. What is the Role As a Consulting Engineer - Search, you will play a pivotal role in helping our customers realize the value of Elastic's Solutions. Acting as a trusted technical advisor, you will work with enterprises to design, deliver, and scale architectures that improve application performance, infrastructure visibility, and end‑user experience. You'll collaborate with Elastic's Professional Services, Engineering, Product, and Sales teams to accelerate adoption of the Elastic Observability platform, ensuring customers maximize the value of their data while achieving business outcomes. This is a highly impactful role, with opportunities to guide strategy, lead complex implementations, and mentor both customers and teammates. What You Will Be Doing Translate business and technical requirements into scalable, outcome‑driven solutions built on the Elastic Stack. Lead end‑to‑end delivery of customer engagements - from discovery and design through implementation, enablement, and optimization. Partner with customers to architect, deploy, and operationalize Elastic solutions that drive measurable value and adoption. Provide technical oversight, guidance, and enablement to customers and teammates throughout project lifecycles. Collaborate cross‑functionally with Sales, Product, Engineering, and Support to ensure successful outcomes and continuous improvement. Capture and share best practices, lessons learned, and solution patterns across the Elastic Services community. Contribute to internal enablement, mentoring, and a culture of continuous learning and collaboration Apply your expertise to optimize queries, tune clusters, and handle high query/indexing throughput at enterprise scale. Collaborate with product and engineering teams to identify product improvements, extensions, and defects based on field feedback Operationalize vector search (e.g., kNN, ANN, hybrid embeddings) with Elastic's vector capabilities and ML models or similar. Profile and tune queries for high‑QPS environments with sub‑second latency targets. What You Bring 5+ years as a consultant, engineer, or architect with deep expertise in Enterprise Search technologies and concepts, including generative AI. Hands‑on experience deploying Elastic Search solutions or similar platforms (Solr, Algolia, AWS OpenSearch, Palantir, Unbxd, e‑commerce site search engines). Strong experience in custom search solution design, query development, relevancy tuning, and NLP use cases. Expertise in distributed systems and large‑scale application infrastructure. Proficiency in at least one programming language; knowledge of open‑source machine learning/AI frameworks preferred. Knowledge or certification in Kubernetes, Linux, Java, databases, Docker, AWS/Azure/GCP, Kafka, Redis, VMs, Lucene. Familiarity with DevOps practices: Docker, Kubernetes, Terraform, CI/CD. Ability to manage delivery from proof‑of‑concept through production rollout, while mentoring client teams for long‑term success. Familiarity with modern NLP and AI ecosystems (transformers, Hugging Face, vector DBs like Pinecone or Weaviate) as applied to search. Strong communication and presentation skills, with experience working directly with customers to gather requirements and deliver solutions. Bachelor's, Master's, or PhD in Computer Science, Engineering, or related field, or equivalent experience. Comfortable working in highly distributed teams, both remote and on‑site when needed. May require significant travel to customer sites to support engagements and solution implementations; candidates should be comfortable with varying levels of travel based on business needs. Bonus Points: Elastic Certified Engineer certification. Experience at a Big 4 consulting firm. Hands‑on experience with Ansible, Terraform, JavaScript, ECK/Kubernetes. Familiarity with machine learning and AI applied to search solutions. Experience contributing to open‑source projects or documentation. Public speaking experience at conferences, meetups, or enterprise workshops. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company‑matched 401k with dollar‑for‑dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well‑being. The typical starting salary range for this role is: $110,900-$175,500 USD The typical starting salary range for this role in the select locations listed above is: $133,200-$210,700 USD Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes encryption software and technology that is subject to U.S. export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People's Republic (“DNR”), and the Luhansk People's Republic (“LNR”). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement. #J-18808-Ljbffr

Pharos is an early-stage startup dedicated to improving patient safety in hospitals through advanced AI-powered reporting and analytics. Our mission is to make healthcare safer by automating hospital quality reporting and helping staff identify and prevent the root causes of avoidable harm. Our vision is an AI system reviewing every chart at scale, identifying patterns and giving clinicians the insights they need to prevent the 100k avoidable deaths that occur in U.S. hospitals every year. We raised a $5m seed funding round at the end of 2024. About the Role This is a pivotal role as a founding member of the engineering team at Pharos. As a Product Engineer, you will bridge the critical gap between product vision and technical execution. You will be responsible for building, shipping, and maintaining our core user-facing applications, working in close partnership with the founders and design team. These products include an interface for users to review and correct AI-generated results to medical questions, as well as an analytics and root cause analysis platform where users can visualize clinical quality trends and drill down into the causes of specific patient safety events. The scope of this role is intentionally broad. As one of our first engineers, you will be an integral part of the founding team, working at the intersection of product design, user experience, and full-stack engineering. We are creating a new category of product, requiring 0-to-1 innovation - turning a novel vision into a real, tangible application without existing examples to lean on. You'll be translating complex requirements and detailed designs into beautiful, functional, and reliable applications. You will have autonomy and ownership over the entire product lifecycle, from the first line of code to deploying in production and monitoring its impact. Your work will directly build the tools healthcare workers use every day to make healthcare safer. What You'll Do End-to-End Feature Development: Own the end-to-end development of new user-facing features, from technical design and implementation to testing, deployment, and monitoring. Design-to-Production: Collaborate closely with designers to translate Figma prototypes into pixel‑perfect, responsive, and intuitive web applications. Full‑Stack Implementation: Build and maintain all components of our product, including the front‑end and the back‑end APIs and services that power them. Product Ownership: Act like a product owner. Rapidly prototype new ideas, participate in user feedback sessions, and use your product intuition to advocate for the best user experience. Infrastructure & Deployment: Manage and improve our CI/CD pipelines, cloud infrastructure, and deployment processes to ensure reliability, scalability, and a fast development loop. Uphold Quality: Champion high standards for code quality, testing, and engineering best practices within a fast-moving startup environment. Cross‑Functional Collaboration: Work side‑by‑side with the founders, designers, and AI research team to solve complex problems and build a cohesive, mission‑critical product. What We're Looking For Required: Engineering Experience: 3+ years of professional experience as a software engineer, with a strong track record of building and shipping user‑facing products. Web‑Stack Proficiency: Deep expertise in modern web technologies, including a front‑end framework (e.g., React, Vue), TypeScript, design systems and document databases. Production Experience: Experience deploying and maintaining applications in a cloud environment (e.g., AWS, GCP, Azure). Product & Design Sense: Strong product intuition and a keen eye for design. You care deeply about the 'why' behind what you're building and the user's experience. Communication: Excellent ability to communicate complex technical concepts to diverse audiences, including non‑technical stakeholders. Strongly Preferred: Startup Experience: Previous experience as an early‑stage employee at a startup, demonstrating an ability to thrive in a fast‑paced environment. Healthcare Informatics: Familiarity with healthcare data, electronic health records (EHRs), or interoperability standards (FHIR, HL7) is a major plus. Design Systems: Experience building or using design systems to maintain UI consistency and accelerate development. Our Technology Stack As a product engineer, you'll primarily work with our modern, high-performance stack: Frontend: React, TypeScript, Vite, and TailwindCSS. Backend & Services: TypeScript on Bun (for application backends) and Python (for AI/ML services). Database & Auth: Firebase (Firestore, Auth, Hosting) integrated closely with GCP. Infrastructure: Google Cloud Platform (GCP), especially Cloud Run, Pub/Sub, and Google Healthcare API. Tooling: Nx for monorepo management, Biome (JS) and Ruff (Python) for linting/formatting. Architecture: We run a microservices architecture with event‑driven patterns using Pub/Sub. Personal Attributes: High agency: You're excited by the opportunity to take ambiguous product challenges and drive them from idea to execution without waiting for direction. Motivated by impact: You're energized to work hard as part of a high-performing team - holding a meaningful equity stake in a company with the real potential to save thousands of lives. Ownership mindset: You take pride in acting like an owner, taking full responsibility for the quality and outcomes of your work. Comfortable with ambiguity: You thrive in an early‑stage startup environment where there's no rigid hierarchy, everyone wears many hats, and you have real power to influence the path of the company. What We Offer Foundational Impact: A rare chance to build a category‑defining healthcare AI company from the ground up and directly improve patient outcomes at scale. Product + Technical Growth: Unique opportunity to develop expertise at the intersection of product, design, user‑facing engineering, and cutting‑edge AI. Ownership and Autonomy: Take ownership of the core user‑facing product and have significant autonomy in your technical and product decisions. Significant Outcome Potential: Meaningful equity stake as a founding team member. Mission‑Driven Work: Every day, work on technology that has the potential to prevent avoidable patient harm and save lives. Culture Creation: Actively shape a positive, collaborative, innovative, and mission‑driven culture that values both technical excellence and user impact. Benefits: Good healthcare, dental and vision plans and 401k. Location San Francisco, USA. We expect our core team to be in the office most working days. #J-18808-Ljbffr

We are an applied AI lab building end-to-end software agents. We're the makers of Devin, the first AI software engineer. Now is the most interesting time to join Cognition - we're seeing record growth and demand, the code generation industry is developing at lighting speed and we're doing this with one of the smallest teams thanks to Devin. We are small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. If you're excited to solve some of the world's most challenging problems and build AI that can reason on real-world tasks, join us. About the Role We're looking for experienced end-to-end engineers who thrive at fast-moving startups, and are excited to push the boundaries of how developers will interact and work with coding agents. You'll work closely with other engineers on the team, the product and go-to-market teams at Cognition, and our design partners. In this role, you will: Ship product and talk to users! Punch through technical walls Build performant and beautiful experiences that developers love Set the standard for UX of agent products Requirements for the role: A record of exceptional achievements and impact Willingness to work hard, move fast and grow quickly in a rapidly changing environment An exceptional ability to learn Experience with Python, Typescript, & React in complex products #J-18808-Ljbffr

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. YOUR ROLE Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. We are seeking an experienced Solidity & Ethereum Engineer who can architect, develop, and optimize smart contracts and private Ethereum network infrastructure. The ideal candidate has hands-on experience with Azure, DevOps practices, and modern blockchain development tools. This role involves both strategic problem solving and practical engineering execution. YOUR TASKS * Design, develop, and optimize Solidity smart contracts for private Ethereum networks. * Tune and optimize Ethereum node configurations for performance, efficiency, and reliability. * Build and maintain CI/CD pipelines using Azure DevOps. * Work with Azure Cloud infrastructure to deploy, manage, and monitor blockchain components. * Develop and test blockchain applications using Hardhat. * Collaborate with cross-functional teams to solve complex engineering problems and deliver high-quality solutions. * Contribute to architectural decisions and best practices for secure, scalable blockchain systems. * (Optional/Preferred) Integrate or develop components using Hyperledger FireFly. YOUR PROFILE * You have strong, proven experience with Solidity and Ethereum development. * You have hands-on knowledge of private Ethereum network optimization. * You have practical experience with Azure Cloud services and Azure DevOps pipelines. * You are proficient in using Hardhat for development, testing, and deployment. * You have excellent problem-solving skills and are able to work effectively in a collaborative environment. * You have a strong understanding of blockchain fundamentals, smart contract security, and Ethereum tooling. * You speak English fluently. * You are committed and able to work in a team, with the willingness to develop and learn. PREFERRED QUALIFICATIONS * Experience with Hyperledger FireFly or similar blockchain orchestration frameworks. * Background or interest in finance, fintech, or decentralized financial systems. * Familiarity with enterprise-grade cloud deployment, monitoring, and automation. WHAT YOU'LL LOVE ABOUT WORKING HERE * Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details. * Access to over 70 training tracks with certification opportunities (e.g., GenAI, Architects, Google) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings. * Practical benefits: private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and 40+ options on our NAIS benefit platform, including Netflix, Spotify or Medicover Sport. GET TO KNOW US Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued. Do you want to get to know us better? Check our Instagram - @capgeminipl or visit our Facebook profile - Capgemini Polska. You can also find us on TikTok! - @capgeminipl. ABOUT CAPGEMINI Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members globally in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. Apply now! Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion. Make it real | *****************