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Requisition ID # 168321 Job Category: Engineering / Science Job Level: Individual Contributor Business Unit: Electric Engineering Work Type: Hybrid Job Location: Oakland Department Overview The Transmission System Planning (TSP) department performs Interconnection studies, multi-year assessments and develops a portfolio of transmission expansion plans and projects to meet the company's transmission needs for delivery of safe and reliable electric service to our customers while adhering to North American Electric Reliability Corporation (NERC) and Western Electricity Coordinating Council (WECC) planning standards. The members of TSP actively participate in the NERC and WECC standard development process for electric transmission reliability. The department is also involved in developing transmission expansion policy and strategy to meet the Company's RPS goals. In addition, the department provides support to project implementation groups, operations, law, contract and other internal departments. Position Summary This position is represented by the Engineers and Scientists of California (ESC) subject to collective bargaining. The Senior Advising Engineer is a recognized expert within their area of responsibility, and someone who can apply their extensive knowledge of engineering principles and practices and system analysis to develop creative solutions to complex problems. This position is hybrid, working from your remote office and your assigned work location based on business need. The assigned work location will be within the PG&E Service Territory. PG&E is providing the salary range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, collective bargaining agreements, and internal equity. The salary range is: CA Minimum, $173,856 CA Maximum, $213,624 Job Responsibilities Basecase Preparation • Understand methodology, constantly seek improvements in the methodology and manage approval process for PG&E’s transmission load forecast., • Primary lead and/or advisor in developing complex models, • Primary lead/advisor in developing methodology and assumptions complex issues. Transmission System Studies • Develop innovative solutions for complex transmission issues, • Participate as lead transmission planner in multi-department project team to develop project scope for large, complex projects including interstate bulk transmission projects., • Lead WECC wide study or study groups, • Primary lead on inter-regional planning efforts, • Provide guidance on planning criteria, standards, and regulations Project Implementation • Lead in the implementation of projects involving inter-regional coordination including but not limited to path ratings and inter-regional RAS studies, settings and designs., • Lead in the implementation of projects that require complex permitting proceedings, including CPCN., • Compliance and Regulatory, • Support or lead compliance and regulatory audits as necessary, • Acts as a company witness/liaison/information provider to outside parties for project support or any other regulatory proceedings impacting PG&E business. Qualifications Minimum: • Bachelor’s degree in Electrical Engineering or a related technical discipline from an accredited curriculum in the US or the equivalent from outside the US, • 13 years of experience in electrical engineering Desired: • Experience in transmission planning studies, • Knowledge of PG&E’s electric transmission system, • Knowledge of NERC and WECC reliability standards, • Experience in system operations, engineering, asset strategy, or system protection, • Previous experience with GE PSLF Program or similar load flow program, • Experience in programming languages such as Matlab, Python, VBA, EPCL, • Current and active California PE license, Electrical Engineering, • Master’s degree in Electrical Engineering

Requisition ID # 169292 Job Category: Engineering / Science Job Level: Individual Contributor Business Unit: Electric Engineering Work Type: Hybrid Job Location: Oakland Department Overview The hardworking coworkers of Electric Engineering ensure all manners of electric engineering—including electric standards and process safety, electric design engineering, instrumentation testing and controls, undergrounding, electric regulatory compliance and electric investment planning—are in place to safely enable a strategic and stable workplan for our Electric Operations partners. Our organization is accountable for program planning, financial budgeting, and project execution and delivery of all electric engineering projects. Electric Engineering is comprised of approximately 2,000 coworkers. Position Summary This job is represented by Engineers and Scientists of California (ESC)subject to collective bargaining. This is a journey-level engineer position that requires mastery of the Associate level engineer skills and duties and is responsible for leading the engineering and design of more complex projects. The Journey engineer uses independent judgment in applying engineering principles and works with minimal supervision. This person works closely with engineers, project managers, construction personnel, and other business partners in assessing project needs. Responsibilities beyond those of the Associate project engineer include, but are not limited to, the following: Developing technical studies and reports, and providing guidance to contractors and outside vendors. Travel to/from various project-related function is required approximately 20% of the time. This position is hybrid, working from your remote office and your assigned work location based on business need. The assigned work location will be within the PG&E Service Territory. PG&E is providing the salary range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, collective bargaining agreements, and internal equity. The annual salary range is: ___CA Minimum, $115,128 CA Maximum, $175,080 Job Responsibilities • Resolves problems of moderate scope. Assignments typically require standard solutions. Under general direction, independently plans work to meet assigned objectives; progress is reviewed periodically for technical accuracy and adequacy in process and upon completion., • May perform functions of Associate level Engineer and in addition:, • Provides technical expertise and performs engineering analyses, studies, and develops, • conceptual designs., • Presents findings to internal organizations, contractors and outside vendors., • Conducts walkdowns and design review meetings., • Prepares written technical documents such as design criteria, scope documents, specifications, and reports., • Develops, evaluates, and recommends alternative project proposals., • Solicits, prepares, and evaluates contracts and proposals from engineering consultants., • Reviews consultant contracts for technical compliance., • Interprets and applies applicable codes and regulations., • Participates in the development of effective restoration plans. Assists in root cause analysis., • Approves reports, new drawings, and revisions to existing drawings for projects., • In emergencies, promptly responds to facility failures., • Represents PG&E to government bodies as required for assigned projects. Qualifications Minimum: • Bachelor’s degree in Engineering from an accredited curriculum in the US or the equivalent from outside the US, • 3 years of cumulative experience in engineering and design Desired: • Electrical transmission line engineering for 115kv-500kv, • Strong familiarity with GO 95, NESC, and PG&E transmission line standards and construction practices, • Strong familiarity with PLS-CADD, PLS-POLE, etc., • Skills in project management

Additional Information Job Number26058819 Job CategoryEngineering & Facilities LocationW San Francisco, 181 3rd St, San Francisco, California, United States, 94103 ___ ScheduleFull Time Located Remotely?N Position Type Non-Management Pay Range: $66.34-$66.34 per hour POSITION SUMMARY Respond and attend to guest repair requests. Communicate with guests/customers to resolve maintenance issues. Perform preventive maintenance on tools and kitchen and mechanical room equipment, including cleaning and lubrication. Visually inspect tools, equipment, or machines. Carry equipment (e.g., tools, radio). Identify, locate, and operate all shut-off valves for equipment and all utility shut-offs for buildings. Maintain maintenance inventory and requisition parts and supplies as needed. Communicate each day’s activities and problems that occur to the other shifts using approved communication programs and standards. Display basic knowledge or ability to acquire knowledge in the following categories: air conditioning and refrigeration, electrical, mechanical, plumbing, pneumatic/electronic systems and controls, carpentry and finish skills, kitchen equipment, vehicles, energy conservation, and/or general building. Perform all surface preparation, painting, minor drywall and wood trim repair, light bulb and A/C filter replacement and the complete and thorough cleanup of the painting or repair area. Test, troubleshoot and perform basic repair on all types of equipment, plumbing (e.g., plunge toilets and unclog drains), electrical components including lamps, cosmetic items, extension cords, vacuum cleaners, internet devices, replace electrical switches and outlets, and other guestroom items. Program TV's and perform general housekeeping and engineering-related inventory duties. Use the Lockout/Tagout system before performing any maintenance work. Perform repairs on interior and exterior landscaping as well as external landscaping sprinklers. Display basic computer skills including inputting air handler schedules and making temperature changes. Follow all company and safety and security policies and procedures; report any maintenance problems, safety hazards, accidents, or injuries; complete safety training and certifications; and properly store flammable materials. Ensure uniform and personal appearance are clean and professional, maintain confidentiality of proprietary information, and protect company assets. Welcome and acknowledge all guests according to company standards, anticipate and address guests’ service needs, assist individuals with disabilities, and thank guests with genuine appreciation. Adhere to quality expectations and standards. Develop and maintain positive working relationships with others, support team to reach common goals, and listen and respond appropriately to the concerns of other employees. Speak with others using clear and professional language. Move, lift, carry, push, pull, and place objects weighing less than or equal to 50 pounds without assistance and heavier lifting or movement tasks with assistance. Move up and down stairs, service ramps, and/or ladders. Reach overhead and below the knees, including bending, twisting, pulling, and stooping. Enter and locate work-related information using computers. Perform other reasonable job duties as requested. PREFERRED QUALIFICATIONS Education: High school diploma or G.E.D equivalent. Related Work Experience: Some experience in general maintenance, exterior and interior surface preparation and painting. Experience in hotel engineering or maintenance a plus. Supervisory Experience: No supervisory experience. REQUIRED QUALIFICATIONS License or Certification: Driver’s License At Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated. Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates. We are committed to non-discrimination on any protected basis, including disability, veteran status, or other basis protected by applicable law. Marriott International considers for employment qualified applicants with criminal histories consistent with applicable federal, state and local law. W Hotels’ mission is to Ignite Curiosity, Expand Worlds. We are a place to experience life. We’re here to open doors and open minds. We are constantly inspired by new faces and new experiences. A tuned-in, up-for-anything spirit is at our core and has made us renowned for reinventing the norms of luxury around the globe. Whatever/Whenever is our culture and service philosophy that brings our guests’ passions to life. If you are original, innovative, and always looking towards the future of what’s possible, welcome to W Hotels. In joining W Hotels, you join a portfolio of brands with Marriott International. Be where you can do your best work, begin your purpose, belong to an amazing global team, and become the best version of you.

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Staff Engineer, Cloud Engineering | Phoenix, AZ or San Francisco, CA (Hybrid, 3 days/week) \n \nA leading FinTech is in the final stretch of a multi-year cloud transformation — migrating mission-critical applications and data from on-premise to AWS — and is looking for a Staff Cloud Engineer to help bring it home. \n \nThis is a high-impact role for someone who wants their work to matter. You'll lead the design, implementation, and optimization of cloud-native solutions that power systems millions of people rely on every day. You'll architect for resilience, drive cost optimization, and partner with Security and Compliance teams to ensure environments meet the highest regulatory standards (PCI-DSS, SOC 2, FFIEC). \n \nWhat you'll own: \n• Architecting scalable, secure, and cost-effective AWS infrastructure (EC2, EKS, Lambda, RDS, S3, IAM) \n• Driving Infrastructure as Code adoption with Terraform and modern CI/CD practices \n• Leading disaster recovery design and ensuring high availability across critical systems \n• Championing observability at scale (Prometheus, Grafana, ELK, Splunk) \n• Leading root cause analysis and participating in a 24/7 on-call rotation \n• Overseeing cloud vulnerability management and configuration programs \n \nWhat we're looking for: \n• 8+ years in Cloud Engineering or DevOps, with 3+ years hands-on AWS \n• Deep expertise in AWS core services, Kubernetes (EKS), Linux, and Docker \n• Proven track record implementing controls aligned with PCI-DSS, SOC 2, or FFIEC \n• Strong IaC experience (Terraform, CloudFormation, or Ansible) \n• Current AWS certification(s) \n \nBonus points for FinTech or banking experience, and familiarity with ACH/EFT or real-time payment networks (RTP, FedNow). \n \nCompensation: \n• Phoenix, AZ: $145,000 – $186,000 \n• San Francisco, CA: $174,000 – $223,000 \n• Plus discretionary incentive plan and a strong benefits package (100% safe harbor 401(k) match on first 6%, 12 weeks paid parental leave, Maven family planning support, flexible PTO, and more) \n \nHybrid: 3 days/week in office, days of your choosing (just keep them consistent). \n \nIf you're ready to do the most interesting work of your career on infrastructure that actually moves money — let's talk.

A leading financial technology organization is undergoing a large-scale cloud transformation and is seeking a Staff Cloud Engineer to help lead the migration of a mission-critical payments platform from on-premise infrastructure to AWS. This is a high-impact initiative tied directly to modernizing a core product that processes high-volume, real-time transactions in a highly regulated environment. In this role, you’ll partner closely with platform engineering, security, and application teams to design and implement scalable, cloud-native infrastructure. You’ll play a key role in shaping architecture decisions, driving best practices around reliability and security, and ensuring a smooth transition from legacy systems to modern AWS-based solutions. This is a highly visible position where you’ll be expected to operate at a staff level — owning complex technical challenges, influencing direction, and helping elevate engineering standards across the organization. The ideal candidate has a strong background in cloud and platform engineering, deep experience with AWS and Kubernetes, and a track record of supporting large-scale migrations or distributed systems in production environments. This person should be comfortable working across the stack, from infrastructure and CI/CD to observability and incident response, with a mindset focused on scalability, resilience, and continuous improvement. This role is hybrid and requires onsite work 3 days per week in San Francisco, CA. Required Skills & Experience • 8+ years of experience in Cloud Engineering, DevOps, or related roles, • 3+ years of hands-on experience in AWS environments, • Deep expertise with AWS services such as EC2, EKS, Lambda, S3, RDS, and IAM, • Strong experience with Kubernetes (EKS) and containerization (Docker), • Proven experience building and managing Infrastructure as Code (Terraform, CloudFormation, or similar), • Experience implementing CI/CD pipelines and DevOps best practices, • Strong understanding of cloud security, including IAM, encryption, and network design, • Experience supporting or leading migrations from on-premise to cloud environments, • Experience working in regulated environments (PCI-DSS, SOC 2, FFIEC, etc.), • Hands-on experience with monitoring and observability tools (Prometheus, Grafana, ELK, Splunk, etc.), • Strong troubleshooting skills and ability to lead root cause analysis across distributed systems, • Experience collaborating cross-functionally and influencing technical direction\n\nDesired Skills & Experience, • Experience in FinTech, banking, or highly regulated industries, • Familiarity with disaster recovery planning and high availability architecture, • Experience with vulnerability management and patching programs, • Exposure to additional programming languages such as Python, Ruby, or C#, • Experience with container security tools (Twistlock, Aqua, etc.), • 100% AWS\n\nDaily Responsibilities, • Salary + Benefits + Bonus\n\nYou will receive the following benefits:, • Medical, Dental, and Vision Insurance, • Vacation Time, • Stock Options\n \nApplicants must be currently authorized to work in the US on a full-time basis now and in the future

SUMMARY/JOB PURPOSE The Mac and Mobility Senior Staff Engineer - Client Technology is a senior engineer responsible for the ownership, security, and governance of one or more IT platforms or products. This role utilizes advanced problem-solving techniques, manages ambiguous technical problems and solves issues of a high degree of complexity between interdependent systems. ESSENTIAL DUTIES/RESPONSIBILITIES: Product Strategy & Roadmap: • Own the overarching strategy and execution for assigned IT platforms, tools, and products, • Drive alignment between technology and the business, utilizing a keen understanding of business needs and the interdependencies between products Product Development & Delivery: • Utilize conceptual thinking to drive engineering decisions across platforms and solutions, • Pinpoint systemic issues and devise robust, scalable solutions, • Understand and manage interdependencies across systems and environments, • Thoroughly test fixes and enhancements across multiple environments, • Develop and maintain secure, self-documented scripts with error handling and logging Stakeholder Management & Cross-Functional Collaboration: • Collaborate cross-functionally to align platform capabilities with business needs, • Meet with customers and incorporate feedback into the product roadmap through multiple means and channels, • Influence engineering decisions by advocating for stakeholder needs and aligning technical approaches with business priorities Operational Excellence, Quality & Compliance: • Drive operational and technical excellence across one or more IT platforms or products, • Document architecture, configurations, and operational procedures, • Make decisions regarding access, permissions, and security controls across systems, • Lead incident response and root cause analysis for high-impact issues, • Contribute to compliance readiness by implementing controls and processes that support audit and regulatory requirements Subject Matter Expertise: • Serve as the SME for assigned capabilities, providing technical leadership and guidance, • Mentor and coach junior engineers, fostering technical growth and best practices SUPERVISORY RESPONSIBILITIES: • No supervisory responsibilities. EDUCATION/EXPERIENCE/KNOWLEDGE & SKILLS: Education: • Associate degree and 11 years of experience; or, • Bachelor's degree and 9 years of related experience; or, • Master's degree and 7 years of related experience; or, • Equivalent combination of education and experience., • Technical certification may be required Experience: • Own Apple and mobile endpoint engineering across macOS, iPadOS, and BYOD mobile phone program (iOS & Android), partnering with the Windows endpoint team to align with enterprise endpoint management, security, and operational objectives, • Design, implement, and operate macOS management using Microsoft Intune (MDM / DDM where applicable), including configuration profiles, compliance policies, monitoring, reporting, and day 2 support, • Maintain continuity in the existing Jamf managed macOS environment while contributing to the organization's longer term evolution toward an Intune first management approach, • Define and maintain Mac and iPad device standards, including baseline configuration, security requirements, compliance expectations, and lifecycle management aligned with enterprise best practices. While partnering with internal stakeholders on identity, access, and compliance integration for Apple and mobile platforms, including Entra registration, device compliance signaling, and Conditional Access enforcement, • Own iPadOS device management (Entra managed) and engineer BYOD management for iOS and Android using Intune MAM/App Protection Policies, enabling secure access to corporate data with appropriate user and device boundaries, • Drive automation and scalable application and device management across macOS, iPadOS, and mobile platforms, using scripting, AI, and tooling to improve reliability, reduce manual effort, and support consistent packaging, deployment, update cadence, and troubleshooting processes, • Establish and enforce guardrails for AI assisted workflows and automation within endpoint management platforms, ensuring safe usage, auditability, and alignment with security and compliance governance, • Review and approve AI assisted operational changes and automation for risk, access scope, auditability, and system impact; document architectures and define escalation patterns for AI workflow failure modes, • Proven experience owning and securing complex IT platforms and tools, • Demonstrated ability to lead technical projects and mentor junior engineers, • Experience making access and security decisions across enterprise systems, • Strong scripting and automation skills with production-grade code, • Familiarity with IT security frameworks and governance models, • Experience working in Agile environments and using ticketing systems (e.g., JIRA, JSM) Knowledge, Skills and Abilities: • Expert-level knowledge in multiple client technology areas and enterprise systems, • Proven ability to lead cross-functional initiatives and drive technical strategy, • Skilled in stakeholder communication, risk assessment, and change management, • Experience developing standards, governance models, and technical roadmaps, • Strong understanding of enterprise architecture and integration patterns, • Can conceptualize new and innovative ways to solve complex business problems, • Expert knowledge of product-centric and agile framework models Work Environment/Physical Demands: Our office is a modern, open-plan space that fosters collaboration and creativity. Teams work closely together, sharing ideas and solutions in a supportive atmosphere. We provide all necessary equipment, including dual monitors and ergonomic chairs, to ensure a comfortable workspace. #LI-EZ1 If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Our compensation reflects the cost of labor across severalU.S. geographic markets, and we pay differently based on those defined markets. The base pay range for this positionis $149,000 - $212,000 annually. The base pay range may take into account the candidate's geographic region, which will adjust the pay depending on the specific work location. The base pay offered will take into account the candidate's geographic region, job-related knowledge, skills, experience and internal equity, among other factors. In addition to the base salary, as part of our Total Rewards program, Exelixis offers comprehensive employee benefits package, including a 401k plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts. Employees are also eligible for a discretionary annual bonus program, or if field sales staff, a sales-based incentive plan. Exelixis also offers employees the opportunity to purchase company stock, and receive long-term incentives, 15 accrued vacation days in their first year, 17 paid holidays including a company-wide winter shutdown in December, and up to 10 sick days throughout the calendar year. DISCLAIMER The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

The Associate Principal Architect (Data and Analytics Platforms) is an Associate Director level role, and will support the design and creation of cloud-based products and services to meet the technology and data needs of Exelixis. This position will help define and design a next-generation enterprise data and analytics platform on AWS and Databricks, including governed data platform capabilities, cloud automation tools and standards and scalable platform foundations for analytics and AI. This position will also work with application support teams and data, governance, and domain teams to re-define the interface between platform capabilities and business-facing data products, including governed access, metadata, and analytics-ready data assets. This is not an incremental role. It is a chance to help shape a state-of-the-art platform from the ground up - where data governance, data quality, and scalability for AI are built in from day one, not added later. • Create and lead the implementation of robust, scalable, and secure data architecture strategies on AWS and Databricks to support advanced analytics and AI/ML initiatives., • Design and implement data ingestion, processing, storage, and reporting solutions leveraging AWS services like S3, Glue, Redshift, Lake Formation, Athena, Kinesis, MSK, EC2, ECS, and Databricks., • Provide expert guidance and hands-on development on the AWS and Databricks data technologies., • Develop and maintain conceptual, logical, and physical data models, and design data lakes, data warehouses, and analytics-ready data layers for optimal performance, reuse, and scalability., • Establish and enforce data governance policies, data quality standards, security protocols, and compliance frameworks (e.g., FAIR, GxP, HIPAA, IAM, Data Mesh)., • Implement and manage AWS Lake Formation and Databricks Unity Catalog to enable centralized, fine-grained data governance across all data assets., • Design and develop scalable and resilient application compute infrastructure using AWS EKS and ECS., • Lead the development of automated CI/CD pipelines for notebooks, jobs, and infrastructure-as-code for AWS, dbt, and Databricks environments., • Utilize tools like GitHub Actions or Jenkins to automate deployments and promote consistent releases., • Manage and optimize AWS, Databricks, and other data platform resource utilization to maintain cost-effectiveness., • Design and implement a multi-layered Medallion architecture (Bronze, Silver, Gold) using Delta Lake to ensure data quality and reliability., • Define and develop reusable, governed data products that power analytics and AI use cases across the enterprise., • Apply AI in a practical way as part of the platform, including services such as AWS Bedrock, where appropriate, to improve platform capabilities and data consumption experiences., • Develop and publish data engineering best practices and patterns., • Proven experience architecting and implementing lakehouse architectures on AWS data technologies (Glue, Lake Formation, Redshift, Athena) and Databricks., • Proven experience designing, developing, and managing data engineering pipelines at scale., • Expertise in various data modeling techniques (conceptual, logical, and physical)., • Expertise in programming languages and frameworks such as dbt, Python, Spark SQL, and SQL., • Deep knowledge of AWS services, including IAM, security, data storage, data processing, compute, and analytics services., • Strong understanding of modern data architecture patterns (e.g., data mesh, lakehouse)., • Hands-on experience with big data technologies like Apache Spark, AWS Glue, Databricks, Apache Iceberg, and Delta Tables., • Strong understanding of governance, metadata, data quality, and scalable platform design for enterprise data platforms., • Experience building data platforms end-to-end, not just supporting existing environments., • Experience applying AI or GenAI in real systems is highly valued., • Certifications: Professional AWS and Databricks certifications are highly valued and relevant., • Supports the translation of overall direction and strategy and communicates across organizational levels and functions., • Works toward long-range goals and objectives., • Assignments are primarily self-initiated., • Understands key business processes and business areas., • Acts as resource and provides direction to others., • Helps define and evolve the enterprise data and analytics platform strategy and roadmap, with a focus on governed data access, reusable data products, self-service enablement, and AI readiness., • Guides the successful completion of major initiatives or programs and leads large complex projects., • Refine end-to-end development processes, from ideation through CI/CD, security scanning, and production monitoring., • Determine and pursue courses of action necessary to obtain desired results., • Work on unusually complex technical problems and provide solutions which are highly innovative and ingenious., • Develops and applies complex and often long-term strategies on specific projects., • Act as the technical expert to be sought for guidance on new technology direction., • Lead the architecture and delivery of core data platform capabilities, including ingestion, transformation, metadata, governed access, data quality, and analytics-ready data layers., • Ensure platform capabilities are built for long-term scale, reuse, governance, and AI enablement from day one., • Translates overall direction and strategy and communicates across organizational levels, to influence executives when needed., • Leads strategic initiatives and ensure successful executions., • Act as organization spokesperson on advanced projects and/or programs., • Acts as advisor to management and customers on advanced technical research studies and applications., • Interacts with senior external personnel on significant technical matters often requiring coordination between organizations., • Partners closely with platform engineering, governance, security, and domain teams to define platform standards and scalable implementation patterns., • Helps align business, data, and technical stakeholders around a common platform vision and architecture., • Own the oversight of documentation of infrastructure and work instructions for systems and applications., • Develop approaches and implement solutions to mitigate future incidents., • Ensure that completed work delivers long-term value and enhances platform performance to maintain maximum functionality., • Make decisions regarding access, permissions, and security controls across systems., • Establish standards for metadata, data quality, governance, and platform reliability that improve trust, auditability, and enterprise reuse., • Ensure that governance, compliance, and security are built into the platform architecture and operating model., • Serve as the SME for general engineering issues and platform strategy., • Mentor and coach engineers across the team, fostering technical excellence., • Keep abreast of industry trends and evaluate platform needs for future growth., • Bring strong ownership, clarity of thought, and architectural judgment to platform design and decision-making., • No supervisory responsibilities., • Master's degree in a relevant field and 9 years of experience; or, • Bachelor's degree in a relevant field and 11 years of related experience; or, • Equivalent combination of education or years of experience., • Technical certification may be required., • At least 10 years of experience in cloud infrastructure and/or enterprise data platforms in a highly available and production environment., • Experience working in a SOX and FDA regulated environment is a plus., • Life sciences experience is a strong plus., • Advanced level knowledge of Amazon Web Services (AWS), especially with services related to data storage, data processing, analytics, security, and compute., • Advanced level knowledge with infrastructure as code (IaC) tools, especially Terraform., • Intermediate level knowledge with cloud and infrastructure automation., • Intermediate level knowledge of modern development and deployment practices of continuous integration and continuous deployment., • Strong knowledge of Databricks, modern lakehouse architecture, governance, metadata, and data quality principles., • Strong working knowledge of Python, SQL, Spark, and dbt., • Strong ability to design scalable, governed, and reusable data platform capabilities that support analytics and AI. #Li-EZ1 If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Our compensation reflects the cost of labor across severalU.S. geographic markets, and we pay differently based on those defined markets. The base pay range for this positionis $182,000 - $259,000 annually. The base pay range may take into account the candidate's geographic region, which will adjust the pay depending on the specific work location. The base pay offered will take into account the candidate's geographic region, job-related knowledge, skills, experience and internal equity, among other factors. In addition to the base salary, as part of our Total Rewards program, Exelixis offers comprehensive employee benefits package, including a 401k plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts. Employees are also eligible for a discretionary annual bonus program, or if field sales staff, a sales-based incentive plan. Exelixis also offers employees the opportunity to purchase company stock, and receive long-term incentives, 15 accrued vacation days in their first year, 17 paid holidays including a company-wide winter shutdown in December, and up to 10 sick days throughout the calendar year. DISCLAIMER The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

SUMMARY/JOB PURPOSE The Engineer II - Client Technology provides advanced engineering support across a broad range of technologies and platforms. This role plays a critical part in anticipating and resolving escalated technical issues and ensuring the reliability and performance of end-user technologies. ESSENTIAL DUTIES/RESPONSIBILITIES: Product Development & Delivery: * Diagnose and resolve complex hardware, software, and application issues, ensuring minimal disruption to business operations * Proactively ensure user devices are secure, compliant, and performing efficiently, regularly coordinating upgrades, patches and refreshes * Leverage diagnostic tools, monitoring platforms and system logs to identify and troubleshoot issues * Engineer, analyze, configure, implement, and maintain technology tools and solutions Stakeholder Management & Cross-Functional Collaboration: * Work closely with stakeholders to understand their technology needs and deliver solutions * Continuously evaluate user needs, proactively designing and implementing strategies that support updated, high-performing user technologies and create a positive user experience * Collaborate with cross-functional teams to implement and validate solutions as needed * Understand and support specialized business use cases of client technologies Operational Excellence, Quality & Compliance: * Access and manage systems via administrative consoles with elevated privileges * Create documentation for technical solutions, deployment procedures, and automation scripts * Provide product training to internal support staff on relevant technologies SUPERVISORY RESPONSIBILITIES: * No supervisory responsibilities. EDUCATION/EXPERIENCE/KNOWLEDGE & SKILLS: Education: * High School diploma and 9 years of experience; or * Associate's degree and 7 years of experience; or * Bachelor's degree and 5 years of related experience; or * Equivalent combination of education and experience. * Technical certification may be required Experience: * Proven experience analyzing and solving complex technical problems on a broad range of technology platforms * Experience implementing engineering solutions to client technology issues * Familiarity with administrative consoles and elevated system access * Experience working in Agile environments and using ticketing systems (e.g., JIRA, JSM) * Experience delivering an exceptional client experience * Proven experience providing advanced level engineering support Knowledge, Skills and Abilities: * Proven ability to use engineering practices and principles to resolve technical issues in an IT environment * Advanced knowledge of troubleshooting and maintaining client technologies * Ability to resolve complex technical issues and contribute to process improvements * Ability to work independently and exercise sound judgment * Experience with scripting or automation tools to streamline tasks and workflows * Ability to proactively seek out areas of improvement and drive solutions * Effective communication with cross-functional teams and end users * Ability to document solutions and contribute to knowledge bases * Strong knowledge of product-centric and agile framework models Work Environment/Physical Demands: * Our office is a modern, open-plan space that fosters collaboration and creativity. Teams work closely together, sharing ideas and solutions in a supportive atmosphere. We provide all necessary equipment, including dual monitors and ergonomic chairs, to ensure a comfortable workspace. * May require lifting equipment up to 25 lbs. * Occasional travel (5-10%) ESSENTIAL TECHNICAL DUTIES AND RESPONSIBILITIES: * Utilize Microsoft Exchange Online, Active Directory, Entra ID, and Azure Virtual Desktop to troubleshoot user issues and maintain the Exelixis Exchange / Azure environment * Utilize PowerShell and Windows automation tools to develop and deploy scripts and automations EXPERIENCE/KNOWLEDGE & SKILLS: Experience: * Substantial experience supporting user issues related to Outlook email functionality (e.g., mail delivery, calendar sync, mailbox access, mailbox permissions) * Experience working with elevated privileges in M365, MS Exchange Online, Active Directory, Entra ID, and Azure Virtual Desktop * Experience using scripting languages and automation tools Knowledge/Skills: * Broad and thorough knowledge of the Windows / MS Exchange Online environment * Knowledge of scripting and automation tools and best practices #LI-HG1 If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Our compensation reflects the cost of labor across severalU.S. geographic markets, and we pay differently based on those defined markets. The base pay range for this positionis $105,500 - $150,500 annually. The base pay range may take into account the candidate's geographic region, which will adjust the pay depending on the specific work location. The base pay offered will take into account the candidate's geographic region, job-related knowledge, skills, experience and internal equity, among other factors. In addition to the base salary, as part of our Total Rewards program, Exelixis offers comprehensive employee benefits package, including a 401k plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts. Employees are also eligible for a discretionary annual bonus program, or if field sales staff, a sales-based incentive plan. Exelixis also offers employees the opportunity to purchase company stock, and receive long-term incentives, 15 accrued vacation days in their first year, 17 paid holidays including a company-wide winter shutdown in December, and up to 10 sick days throughout the calendar year. DISCLAIMER The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

About Orion Orion is a personalized smart mattress cover that tracks your sleep and uses AI to cool and heat your body to the perfect core body temperature cycle based on your biometrics, significantly enhancing deep sleep and REM. Core body temperature cycle is the #1 factor for sleep quality. Who We Are Orion is an extremely experienced team of repeat founders with multiple 9 and 10-figure exits in consumer products and health-tech. The team has a combination of technical, marketing, product, operational, manufacturing, and sleep science expertise. The team has previously built and sold businesses that currently exceed $2 billion in value, are doing over $700 million in revenue and have over 25 million users. Role This is a full-time on-site role located in San Francisco, CA for a Design Engineer. You will be responsible for our designing and building beautifully crafted experiences for our website and mobile app. You will also own our design system across digital, print, and packaging. Culture Orion is a zero-bureaucracy move-fast culture. Everyone on the team is hired and empowered to have complete ownership over their area of expertise. We expect everyone to be intimately connected to the product and to the end-user. Our engineering team is also expected to leverage agentic coding tools to maximize their work output. Summary We don't spend time writing a bulleted list of expectations we are looking for in a candidate. We hire people, not roles. (competitive compensation, visa sponsorship, and full benefits available)

AI Engineer 1. Organization Overview (Concise & Neutral) A fast‑growing oncology‑focused organization is reinventing how clinical trials operate by integrating them tightly with real‑world clinical practice. Cross‑disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human‑in‑the‑Loop (HITL) model to deliver regulatory‑grade outcomes that expand trial access and accelerate cancer drug development. What’s Different • Clinical trials are embedded within clinical practice—not run in parallel., • Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations., • Strong commitment to rigorous testing, validation, privacy, and ethical AI., • Mission‑driven culture with high collaboration and urgency. Why Join Now • AI is essential to scaling the business—impact is immediate and visible., • Opportunity to build an end‑to‑end applied AI stack powering clinical teams., • Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2. Role Overview — AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas • LLM development and LLM‑Ops for text extraction and structuring; some CV/multimodal., • Rapid prototyping with high software‑engineering hygiene., • Statistical validation plans, experiment design, and metrics ownership., • HITL workflow development to reduce manual QA and improve throughput., • Collaboration with Platform Engineering for production alignment., • Comprehensive documentation: datasets, experiments, model cards, QA audits., • Build AI models and pipelines across EMR/EHR, imaging, and clinical documents., • Translate ambiguous clinical requirements into measurable ML objectives., • Define metrics, design experiments, and estimate/model error., • Lead interim QA audit processes and evolve toward AI‑assisted QA., • Partner with data/platform engineers on scalability, data flow, and observability., • Deliver validated AI components for abstraction and note generation., • Meaningfully reduce manual QA workload through HITL optimization., • Standardize testing and documentation frameworks., • Establish efficient PySpark/SQL/Postgres data‑manipulation patterns that accelerate iteration. 3. Product & AI Context In‑Flight Work • LLM‑powered abstraction and clinical note generation with HITL., • Drive productivity gains for internal labeling/abstraction teams., • Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4. Ideal Candidate Profile Background • MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience., • 2–5+ years in AI/ML engineering or applied data science., • Expert‑level Python + strong software engineering practices., • Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV)., • Data engineering: PySpark, SQL, Postgres, data modeling, query tuning., • Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP)., • Experiment design, statistical validation, and error analysis., • Additional languages: R, Java, C++., • MLOps fundamentals (versioning, lineage, CI/CD)., • Prior oncology or clinical trials exposure.

Company Description Hadron Energy specializes in Micro Modular Reactor (MMR) development, design, and research based in the San Francisco Bay Area. As the leading MMR developer, Hadron Energy is building factory-produced, transportable microreactors that provide 24/7 carbon-free power for data centers, government facilities, industrial sites, and remote communities. Our mission is to create a brighter, healthier, and more equitable energy future. Component Design & Structural Analysis Engineer – Role Description This is a full-time on-site role for a Component Design & Structural Analysis Engineer, based in the San Francisco Bay Area, New York City, or remote. This position is ideal for candidates with strong mechanical design, structural modeling, and analysis experience who are passionate about developing advanced, safety-critical components for next-generation nuclear systems. The Component Design & Structural Analysis Engineer will be responsible for the detailed mechanical design and structural evaluation of reactor components, subsystems, and support structures within Hadron Energy’s micro modular reactor (MMR). This individual will work closely with reactor design, materials, thermal-hydraulics, manufacturing, and licensing teams to ensure components meet stringent functional, safety, and regulatory requirements. You will play a central role in transforming conceptual designs into manufacturable, high-performance components by using advanced simulation tools, design methodologies, and structural engineering thinking to advance Hadron’s reactor design toward commercial deployment. Responsibilities • Lead the mechanical design, modeling, and drafting of reactor components, assemblies, and supporting structures, • Perform structural, thermal-mechanical, and vibration analyses using finite element analysis (FEA) tools (ANSYS, Abaqus, COMSOL, or equivalent), • Evaluate component performance under normal operation, transient conditions, accident scenarios, seismic events, and extreme loading conditions, • Develop and maintain engineering drawings, design specifications, and technical documentation in accordance with ASME Section III and related codes, • Collaborate with thermal-hydraulics, materials, and safety engineers to incorporate multi-disciplinary requirements into component design, • Support component verification and validation testing, including prototyping, mechanical tests, and qualification activities, • Conduct design optimization studies focused on manufacturability, reliability, and cost-effectiveness, • Coordinate with manufacturing, procurement, and quality teams to ensure components meet fabrication, inspection, and regulatory requirements, • Prepare technical reports, analysis summaries, and documentation for internal design reviews and NRC licensing submittals, • Participate in hazard analyses, design reviews, and risk mitigation activities, • Stay current on best practices in structural analysis, advanced materials, and nuclear system design Qualifications & Skillsets • Bachelor’s, Master’s, or PhD in Mechanical Engineering, Structural Engineering, Nuclear Engineering, or a related discipline, • 5+ years of experience in mechanical design and structural analysis, preferably in nuclear, aerospace, defense, or high-reliability industries, • Proficiency with FEA tools such as ANSYS, Abaqus, COMSOL, or equivalent, • Strong understanding of ASME Section III, pressure boundary design, materials behavior, and structural mechanics, • Experience evaluating components under thermal, seismic, and dynamic loads, • Familiarity with CAD software (SolidWorks, CATIA, Inventor, or similar) and PDM/PLM systems, • Knowledge of materials, welding, fabrication processes, and component qualification practices, • Excellent analytical, technical writing, and communication skills, • Ability to work collaboratively across multidisciplinary engineering teams, • High attention to detail, rigorous documentation practices, and commitment to engineering excellence, • Passion for clean energy, advanced technology, and designing components that enable safe, scalable nuclear power

Aeonsemi is a pre-IPO chip design company at the forefront of high-speed data communication for Physical AI. Backed by tier-one venture firms and in rapid revenue growth, we design customer-proven synchronous Ethernet networking and timing solutions that address the critical needs of secure data connectivity, robust timing synchronization, and efficient energy delivery — from AI edge nodes, autonomous systems to hyperscale data centers. Analog/mixed-signal Design Engineer Responsibilities You will be working with a team of designers to design high performance RF/Analog/mixed-signal circuits for high-speed wireline transceiver products using advanced CMOS technologies. · Block level architecture design · Schematic design, simulation, behavioral modeling, validation plan · Supervise layout engineer and hands-on layout of critical paths when needed · Lab characterization Qualifications · MS or Ph.D in electrical engineering with minimum 2 years of experience · Knowledge of analog fundamentals: biasing circuits, clock generation and/or data converters · Proficient in Cadence design environment · Good communication skills Additional Helpful Qualifications · Proficient in Python or other programming language . Basic proficiency with signal processing . Interest in developing full-stack skills spanning mixed-signal design, simulation and modeling, and production test flows (software/firmware debug) We offer · Great team work environment with excellent career growth opportunities · Competitive salary, attractive stock option · Competitive benefit package with health care, dental, 401k etc.

We're building AI agents to automate manufacturing engineering workflows: Bill of Process generation, DFM/DFA analysis, manufacturability reviews, process planning. Right now, our AI makes mistakes constantly. You're the feedback loop that fixes that. Your job: Review what our AI generates on real manufacturing problems, identify exactly what's wrong or unrealistic, and translate that into structured data that makes our models smarter. What You'll Do • Review AI-generated Bills of Process, DFM/DFA recommendations, tooling suggestions, and manufacturability analyses, • Physically build, mock up, or test manufacturing processes the AI proposes—understand what fails in the real world, • Translate repeated failure modes into structured feedback for the AI team, • Work hands-on in our software, evaluating real manufacturing workflows, • Partner with AI engineers to turn manufacturing intuition into training data and product improvements, • Serve as the internal manufacturing authority for the AI team Who You Are Experience: • 3–6+ years in manufacturing engineering or NPI, • Personally taken an electromechanical product (robotics, drones, aerospace, EVs, industrial equipment) from prototype to production, • Worked across multiple products/companies, not just one, • Owned manufacturing decisions end-to-end in a startup or small-team environment Skills: • Read CAD/BOM packages and define Bills of Process from scratch, • Hands-on DFM/DFA experience—walked floors, driven design changes, • Comfortable with AI/LLM tools (Claude, ChatGPT, Cursor), • BS in Mechanical, Manufacturing, or Industrial Engineering (or equivalent) Traits: • Can articulate why a manufacturing process works or fails to non-manufacturing audiences, • Excited by the idea of turning manufacturing intuition into AI systems, • Formula SAE, Baja SAE, rocketry, robotics, or similar hands-on project experience is a bonus, • U.S. citizen (required for contractor access)

Title: Technical Data Architect Location: Bay Area, CA (Onsite) Experience: 8+ years Role Summary Seeking an experienced Technical Data Architect to lead the design and delivery of cloud-based commercial data lake/ platforms implementation. This role partners closely with Commercial business stakeholders and IT teams to ensure scalable, compliant, and high-quality data solutions supporting pharmaceutical commercial use cases. Key Responsibilities • Own technical architecture and technical design of cloud data lakes/data warehouses using Databricks with Azure or AWS, • Act as technical product owner for commercial data platforms, managing roadmap and priorities, • Translate commercial pharma requirements into scalable data solutions, • lead new innovations and technical POCs, • Enable analytics and reporting across Sales, Marketing, Market Access, and Commercial Operations, • Ensure alignment with data governance, security, and compliance standards, • Manage client relationship, • Partner with offshore data engineering teams to deliver high-quality data pipelines, • 8+ years of experience in data architecture, Azure Services, or building enterprise data platforms, • Strong hands on experience with Databricks + Azure or AWS services, • Proven experience in data management skills, • Strong understanding of pharma commercial data domains, • Strong communication and stakeholder management skills, • Experience in managing cross -functional teams, • Have good exposure to business development activities (i.e., creating proposals, SoW, POV etc.), • Understand MDM concepts and processes, • Good exposure on data quality frameworks Soft Skills: Stakeholder management, program delivery, presenting POVs to client senior stakeholders, Good communication skills

What You'll Be Doing: Manufacturing Process Ownership & Technical Leadership • Function as a manufacturing technical lead for PCBA and electromechanical assembly ( Final assembly, test and packout) across NPI and sustaining, • Define & Industrialize end-to-end manufacturing processes for complex electronic products: PCBA & Final Assembly Test and Packout (FATP)., • Lead DFx (DFM/DFA/DFT/DFS/DFR) reviews with Hardware R&D, Test, and Quality Engineering teams and supplier/contract manufacturers, • Establish manufacturing standards, process flows, PFMEAs, control plans, and work instructions for complex electromechanical products, • Define and improve manufacturing efficiency with EMS to plan workflow, cell layout, staffing, training , equipment, power and network requirements, • Drive yield and continuous improvement, defect reduction, and reliability performance using structured problem solving and data-driven methods, • Lead advanced troubleshooting of Manufacturing defects and reliability issues and establish root cause and corrective actions PCBA Manufacturing – EDA HAV Focus • Lead manufacturing process development for high-complexity PCBA, including high-layer-count boards, fine-pitch BGAs, high-speed signal designs, and power electronics, • Qualify and optimize PCBA: SMT/THT processes, including stencil design, solder paste selection, reflow and wave/selective soldering profiles, • Conduct analytical studies of PCBA reliability via destructive and nondestructive methods Electromechanical & System Assembly • Architect and optimize electromechanical Final assembly test and Packout (FATP) processes for EDA HAV systems, • Define, document and train EMS Engineers on product/process requirements. Validate operator certification programs, • Champion FATP automation/advanced tooling to optimize: repetitive assembly, handling, ergonomic operations, cycle time and cost, • Establish budgets for automated equipment/process development and track spend. o Drive solution selection, negotiate cost and project schedule via EMS New Product Introduction (NPI) & Production Ramp • Track DFx (DFM/DFA/DFT/DFS/DFR) issues to closure cross functionally within EMS partners, • Support prototype and early production builds, manufacturing risk reviews, and readiness assessments, • Identify manufacturing risks and mitigation strategies to de risk production launch. Lead manufacturing readiness through mass production Supplier & Contract Manufacturer (EMS)Engagement • Serve as the primary manufacturing technical interface with EMS partners, • Drive cost reduction, yield and reliability enhancement initiatives cross functionally, • Manage/drive project deliverables from EMS partners to product schedule Sustaining Engineering & Continuous Improvement • Develop & revise assembly & test standard time(s) from NPI to production, • Drive periodic review of standard times with costing team to capture process and product changes, process optimization, • Own Bill of Materials from Prototype to Production, drive product structure review and definition with R&D, Operations and EMS partners, • Author Engineering Change Order (ECO) with R&D team, track and validate correct implementation at EMS, • Document manufacturing process and packaging requirements/specifications for EMS Engineers Technical Leadership & Influence • Stay abreast of industry technological advancements, identify capability requirements, Qualify processes and assembly equipment for highly dense and complex printed circuit board assemblies (PCBAs) and Final Assembly., • Mentor and technically guide manufacturing engineers across PCBA and FATP, • Influence product and manufacturing strategy through strong technical judgment and cross-functional collaboration Act as a trusted advisor to engineering, operations, and leadership teams The Impact You Will Have: • Accelerate time-to-market for new products by process industrialization and efficient NPI activities., • Enabling reliable, repeatable, scalable, and cost-effective manufacturing of advanced electronic assemblies, • Via continuous improvement: enhance yield, reduce defect, improved product quality and customer satisfaction, and lower cost, • Seamless transitions from design to mass production via our EMS partners, • Through cross-functional innovation, support leadership Required Qualifications • Bachelor’s or Master’s degree in Mechanical Engineering, Electrical Engineering, Manufacturing Engineering, or a related discipline, • 7+ years of experience in manufacturing engineering, with deep expertise in PCBA and electromechanical system assembly, • Strong background in networking hardware, test equipment, or similar high-reliability electronic systems, • Proven experience leading complex NPIs from early development through high-volume manufacturing, • Solid understanding of manufacturing systems, automation, quality assurance, and cost optimization techniques, • Hands-on experience troubleshooting manufacturing and reliability issues at both PCBA and system levels, • Experience working with global EMS and system integration partners, • Strong written and verbal communication skills with the ability to influence across disciplines and leadership levels, • Willingness and ability to 35% travel Preferred Qualifications • Experience with highly dense + complex PCBA and electromechanical FATP, • Some experience with opto electronics and optical cabling, • Knowledge of IPC, ISOsyn, and industry quality and reliability standards, • Experience with manufacturing automation, fixtures, and precision assembly tooling, • Lean Six Sigma certification or equivalent, • Background in EDA, telecom, Semiconductor/test instrumentation, or industrial systems • • Experience in CAD software.

About Drafted Drafted is unlocking creativity in the physical world. We’re building foundational models and generative pipelines that create floor plans and renderings instantly, so anyone can imagine their dream home. Starting with single-family homes, we plan to verticalize across all dimensions of the pre-construction stack. Generative architecture is a prime domain for applied research with abundant data, verifiable constraints, and a clear value proposition. Our team of second-time founders, engineers, and designers pairs exceptional product taste with deep technical rigor to turn real-world buildability constraints into an intuitive, creative experience. Drafted's Values We're a small team working fully in-person in San Francisco. We value high-ownership builders who want to be a part of a talented, highly motivated team. We're guided by the following values: • Own the mission. We take agency, act like owners, and see problems through to real outcomes., • Build in the open. We value direct feedback, fast learning, and growth through honest collaboration., • Move with care and speed. We iterate quickly while staying deeply respectful of our teammates., • Seek the why. We challenge assumptions, think from first principles, and never stop asking questions., • Design for everyone. We believe anyone should be able to design and build a home they love., • Solve what matters. We embrace hard problems and create new paths forward when none exist. The Role As a design engineer, you’ll contribute meaningfully to the end-to-end experience, from prompting and ideation workflows to the tools users rely on to iterate, edit, and visualize their designs. Our product blends exceptional product craft with deep technical work, so you’ll collaborate closely with design, engineering, and research. Example Projects • Design, implement, & iterate on editing generated plans using our existing machine learning model capabilities., • Design, implement, and iterate on how users guide the output home design with new model controls (i.e. multi-floor, exterior design, etc)., • Design, implement, and iterate on the existing user interface to reduce friction and increase the number of users creating a home they love. Desired Skillset • 5+ years experience coding, • ⁠Experience with making high quality, detailed, and maximally implementable Figma designs, • ⁠⁠Experience writing Next.js + Tailwind front ends, • Experience with Typescript backend code using standard relational databases Salary Range • $150k - $200k + 1-2% equity

General Summary As a member of the Manufacturing Engineering group at Penumbra, you will be called upon to solve complex problems and implement innovative solutions. You will provide manufacturing technology and robust solutions aimed at commercializing new products and continuously improving production processes. Working cross-functionally with engineering groups across the company, as well as with Production, Quality Control and Quality Assurance, you will resolve problems encountered on the production floor and throughout the business, and will apply your engineering knowledge and creativity to implement adaptations and modifications to the production line and to quality systems. What You'll Work On -Solve complex problems and implement innovative solutions -Execute detailed root cause analysis and recommend vetted solutions -Communicate and explain problems and solutions cross-functionally and inter-departmentally -Collaborate closely with suppliers, ensure timely communication of updates, and respectfully request any necessary changes. -Manage NCRs, deviations, engineering change orders, and supplier documentation while utilizing a Quality Management System to ensure continuous improvement and compliance. -Engage in the troubleshooting of electromechanical products by employing failure analysis and problem-solving techniques, while also recommending and implementing effective solutions. -Lead the implementation of projects at the supplier level, managing communications related to test plans, monitoring project timelines, and ensuring all milestones are met efficiently. -Approach problems from a detail-oriented perspective -Suggest independent recommendations for project approach, scope, and tactics -Support production needs -Create and maintain product and process documentation -Monitor process and equipment performance and identify and implement process improvement activities to increase/optimize yield -Design fixtures, acquire off-the-shelf tooling and equipment, and implement new fixturing on the production line -Test processes, equipment, raw materials, and product -Perform process validations -Author protocols to execute tests and write reports and make conclusions and/or recommendations based on test results -Plan, schedule, conduct, and coordinate detailed phases of engineering work as part of a project or as a total project -Develop specifications of a product, process, or piece of equipment -Develop, characterize, and optimize processes using statistical techniques and engineering knowledge and experience -Coordinate with the appropriate suppliers and other external resources needed in developing and implementing process improvement plans -Participate in project planning and scheduling -Train assemblers, quality control and technicians, as necessary, on processes, equipment, and documentation -Comply with quality system regulations, standards and procedures • Indicates an essential function of the role Location and Pay -Alameda, CA -$95,000 to $127,000 Position Qualifications Minimum education and experience: -Bachelor’s degree in Mechanical, Biomedical, Electrical, Chemical, Materials, or Industrial Engineering or related degree with 3+ years relevant engineering experience, or an equivalent combination of education and experience Additional qualifications: -Engineering experience in a manufacturing environment recommended, medical device industry preferred -Experience in troubleshooting and working with electromechanical devices -Excellent written, verbal, and interpersonal communication skills required -Knowledge of FDA regulations, Lean/Flow Manufacturing, and/or materials and manufacturing processes desired -Proficiency in Word, Excel, PowerPoint, Access, and other computer applications required -Supplier audits, risk management (FMEA, DFMEA, PFMEA), lean manufacturing/six sigma, equipment qualification Working Conditions -General office, laboratory, and clean room environments. -Willingness and ability to work on site. -Business travel from 0% - 10% -Potential exposure to blood-borne pathogens. -Requires some lifting and moving of up to 25 pounds. -Must be able to move between buildings and floors. -Must be able to remain stationary and use a computer or other standard office equipment, such as a printer or copy machine, for an extensive period of time each day. -Must be able to read, prepare emails, and produce documents and spreadsheets. -Must be able to move within the office and access file cabinets or supplies, as needed.

Photodiode Design Engineer Overview We are seeking a High-Speed Photodiode Design Engineer to contribute to the design and development of next-generation optoelectronic devices. This role involves close collaboration with fabrication partners and cross-functional teams to bring new products from concept through volume manufacturing. A comprehensive benefits package is offered, including healthcare, retirement plans, and potential work authorization support. Key Responsibilities • Design and optimize photodiode epitaxial structures for high-performance optoelectronic applications, • Develop mask layouts for device fabrication and integration, • Analyze device characterization data and correlate performance trends with design parameters, • Collaborate with epitaxy, process integration, packaging, and test teams across the full product development lifecycle, • Lead or support failure analysis to identify root causes of electrical, optical, or reliability issues, • Support wafer-level characterization, reliability studies, and process optimization efforts, • Work cross-functionally to improve manufacturability and production yield, • Occasional travel to support collaboration with partners and manufacturing sites Qualifications • Ph.D. in Electrical Engineering, Physics, Materials Science, or a related, • 5+ years of industry experience in optoelectronic or semiconductor device development preferred, • Hands-on experience in photodiode design and development required, • Strong understanding of device physics, modeling, and performance trade-offs, • Experience with epitaxial processes, wafer fabrication, packaging, testing, and reliability/failure analysis, • Demonstrated ability to support designs through development into scalable manufacturing, • Strong collaboration skills across multidisciplinary engineering teams, • Self-driven, detail-oriented, and dependable in a fast-paced technical environment

We are working on behalf of a leading maker of opto-electronic ICs for Data Center applications. They have a major facility in Central NJ, where they design and fabricate CW (Continuous Wave) DFB Lasers for Data Center applications, using an InP (Indium Phosphide) process. They are looking for an experienced Engineer, who designs DFB, EML or other Edge-Emitting Lasers. This position is being offered at the Principal or even Director level. • We need a PhDEE, with 5+ years of experience in the design of DFB Laser, EML or other Edge-emitting Lasers, ideally using InP or another III-V process., • We need broad experience in IC Design, Characterization, Device, process, and driving IC designs into manufacture., • Company offers a great compensation package with competitive salary and very lucrative equity., • Located in the Bay Area, CA or Central NJ or Boston area, MA.

MEMS Designer - Optical MEMS - Optical Circuit Switches - Bay Area Lumicity is partnered with a well-funded, innovative startup that is creating novel technology to remove bottlenecks in AI processing. They are looking to add a MEMS Design Engineer who will take responsibility for the design, simulation, and optimization of MEMS devices that are critical components of their optical circuit switches. Role: MEMS Design Engineer Location: Bay Area - onsite 5-days per week. Compensation: $180k - $260k PLUS equity The skills needed for the role include: • Experienced designing sophisticated MEMS structures, focusing on performance, reliability and manufacturability., • Strong layout experience., • Proven experience with the full product lifecycle, from concept through to mass production., • Experienced designing and fabricating devices with nano-scale features., • Proficiency with 3D-CAD software., • Ability to work effectively with cross-functional teams to ensure robust and reliable designs for high-volume manufacturing., • Any experience with optical MEMS structures would be highly advantageous. This is a truly exciting opportunity to work at the forefront of cutting-edge technology and play an integral role in the success of this company as their MEMS Design Engineer. If you are interested in the MEMS Designer opportunity, apply directly to this advert for immediate consideration. Alternatively, please contact Jacob Pudifoot at for more information.

Experience Range 15 Years Primary (Must have skills) Key Skills: AWS + Data + Tableau (Salesforce integration experience (good to have)} • 10+ years of overall IT experience, with 8+ years in Data Engineering & Analytics, including end-to-end data solution design, architecture, and enterprise data platform implementation, • 6+ years of hands-on experience in AWS data architecture, including Amazon S3, AWS Glue, Redshift, Athena, Lambda, EMR, Lake Formation, Kinesis, and RDS with strong understanding of cloud-native data patterns & SQL Experience Range development and advanced data modeling, • 3+ years of experience in integrating Salesforce (Sales Cloud / Service Cloud) with external data platforms using APIs, connectors, and middleware tools, • 3+ years of experience in leading data engineering teams as Technical Architect / Lead, providing architecture guidance, code reviews, design standards, and mentoring developers, • 4+ years of hands-on experience with Tableau, including dashboard development, data modeling, performance tuning, and data visualization best practices, • 6). 3+ years of experience in real-time and batch data processing architectures, including streaming frameworks and large-scale data and ingestion and experience in CI/CD Job Description of Role • Design and define enterprise-level data architecture across AWS data platforms, ensuring scalability, security, performance, and alignment with business strategy., • Architect, develop, and oversee implementation of data lakes/lakehouse solutions using AWS services such as S3, Glue, Redshift, Athena, EMR, Lambda, and Lake Formation., • Lead the design and development of robust ETL/ELT pipelines (batch and real-time), ensuring high data quality, reliability, and performance optimization., • Integrate and synchronize data between Salesforce and AWS data platforms, • Define and implement enterprise data models (conceptual, logical, physical), including dimensional modeling (Star/Snowflake schemas) to support analytics and reporting needs., • Establish BI architecture standards using Tableau, including semantic layer design, dashboard governance, security (row-level security), and performance optimization., • Translate complex business requirements into scalable technical architecture and actionable data solutions., • Provide hands-on technical leadership in SQL, Python/PySpark, query optimization, and performance tuning for large-scale datasets., • Define and enforce data governance, security frameworks (IAM, encryption, masking), and compliance standards across the data ecosystem., • Guide teams in implementing CI/CD pipelines, Infrastructure as Code (Terraform/CloudFormation), and DevOps best practices for data platforms., • Review solution designs and code to ensure adherence to architectural standards, scalability principles, and best practices., • Collaborate with cross-functional teams to gather requirements and deliver scalable solutions, • Drive modernization initiatives including migration from legacy/on-prem systems to AWS cloud environments., • Ensure monitoring, logging, observability, backup, and disaster recovery strategies are implemented effectively.

$50 - $120/hourpayGodotGame DevelopmentAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Godot Game Engine Expert Job Type: Contract Location: Remote Job Summary Join our customer's team as a Godot Game Engine expert, where you will have the opportunity to work on cutting-edge interactive experiences in a dynamic and collaborative environment. You will leverage your deep knowledge of Godot to drive the technical direction of game projects, ensuring robust architecture and seamless gameplay. This position is ideal for professionals passionate about creating high-quality games and excelling in both communication and technical domains. Key Responsibilities • Design, implement, and optimize gameplay systems and features using the Godot Game Engine., • Collaborate closely with designers, artists, and other developers to deliver polished and engaging player experiences., • Architect and maintain clean, scalable, and well-documented codebases., • Troubleshoot and resolve complex technical issues throughout the development lifecycle., • Contribute to the evaluation and selection of technical solutions and tools related to the Godot ecosystem., • Mentor and support team members in best practices, Godot workflows, and robust coding standards., • Participate actively in sprint planning, code reviews, and quality assurance processes. Required Skills and Qualifications • Deep expertise with the Godot Game Engine (GDScript, C#, or VisualScript)., • Proven track record of shipping commercial or high-quality independent titles using Godot., • Strong understanding of 2D/3D game development pipelines, asset integration, and performance optimization., • Ability to communicate complex technical concepts clearly in both written and verbal form., • Experience collaborating in a remote, distributed team environment., • Solid problem-solving abilities and passion for learning new technologies., • Demonstrated ability to produce clean, maintainable, and efficient code. Preferred Qualifications • Experience contributing to open-source Godot projects or plugins., • Background in gameplay, UI/UX, or multiplayer networking systems., • Exposure to agile development methodologies and tools.

SUMMARY/JOB PURPOSE: Protect the organization's digital infrastructure, data, and systems from internal and external cybersecurity threatsby implementing, managing, and continuously improving security practices, tools, and operations with a focus on cloud applications and infrastructure. ESSENTIAL DUTIES/RESPONSIBILITIES: • Improve the organization's security posture by identifying weaknesses and vulnerabilities in its security infrastructure and implementing solutions to address them., • Integrate with various teams on technology initiatives to improve security of our systems and operations., • Assist in investigating and responding to security events and incidents, such as malware infections, unauthorized access attempts, and other potential security breaches. Determine best procedures to contain threats, document findings, and escalate issues as needed., • Monitor and analyze security logs and events from various sources., • Stay current with the latest threat landscape, emerging trends, and solutions in cybersecurity to proactively identify and mitigate potential security risks., • Improve the organization's security posture by identifying weaknesses and vulnerabilities in its security infrastructure and implementing solutions to address them., • Assist with and provide cyber expertise to internal staff, vendors, and partners on security practices and issues., • Follow industry and Exelixis best practices and procedures in a SOX and an FDA regulated environment. SUPERVISORY RESPONSIBILITIES: • No supervisory responsibilities. EDUCATION/EXPERIENCE/KNOWLEDGE & SKILLS: Education: • Bachelor's degree in related discipline and 7 years of related experience; or, • Master's degree in related discipline and 5 years of related experience; or, • Equivalent combination of education and experience, • CISSP, CISM, CEH, OSCP, GIAC or similar cybersecurity certification preferred Experience: • Experience with operation and implementation of cybersecurity tools., • Experience in designing, implementing, and managing security controls within cloud platforms, such as IAM, VPC, Zero Trust principles, IaC, IAAS, Security Groups, Key Management Services, SDLC, Ci/Cd pipelines and Network Security., • Experience in IT Security or related infrastructure administration role in an enterprise environment. Technical lead experience is preferred., • Experience in investigations and response to cyber events and incidents., • Experience in enhancing organizational security awareness and resilience., • Experience with cloud, system, and application security., • Experience administering IT systems., • Experience working in Agile environments and using ticketing systems (e.g., JIRA, JSM)., • Experience in regulated industries (e.g., biotech, pharma) with knowledge of GxP and SOX compliance preferred., • Preferred: AWS Certified Security - Specialty Knowledge, Skills and Abilities: • Strong knowledge of general IT applications and infrastructure., • Advanced knowledge of CLI and scripting language experience (Python, PowerShell, etc..), • Advanced knowledge of AWS, • Advanced knowledge of IAC, SDLC, Ci/Cd pipelines, • Advanced knowledge of cybersecurity technologies and concepts., • Strong analytical, problem solving, organizational, and communication skills., • Abilitytoworkeffectivelywithcustomerstosolvebusinesschallengeswhilebalancingtheneedforconfidentiality,integrity,andavailability., • Ability to multitask and work collaboratively., • Ability to work with ambiguity., • Ability to work with confidential data., • Ability to continuously learn and improve., • Ability to work with minimal guidance, to adapt to frequent priority changes, and response to ad-hoc requests, • Architect secure cloud infrastructure using guardrails and golden paths using IaC patterns across AWS and Azure., • Integrate SAST, SCA, DAST, and dependency scanning into GitHub pipelines and provide help and support for mitigating risks across the SDLC. Work Environment/Physical Demands: Our office is a modern, open space that fosters collaboration and creativity. Teams work closely together, sharing ideas and solutions in a supportive atmosphere. We provide all necessary equipment, including dual monitors and ergonomic chairs, to ensure a comfortable workspace. • Occasional travel (5%)., • On-call availability for critical escalations. #LI-EZ1 If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Our compensation reflects the cost of labor across severalU.S. geographic markets, and we pay differently based on those defined markets. The base pay range for this positionis $148,000 - $210,500 annually. The base pay range may take into account the candidate's geographic region, which will adjust the pay depending on the specific work location. The base pay offered will take into account the candidate's geographic region, job-related knowledge, skills, experience and internal equity, among other factors. In addition to the base salary, as part of our Total Rewards program, Exelixis offers comprehensive employee benefits package, including a 401k plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts. Employees are also eligible for a discretionary annual bonus program, or if field sales staff, a sales-based incentive plan. Exelixis also offers employees the opportunity to purchase company stock, and receive long-term incentives, 15 accrued vacation days in their first year, 17 paid holidays including a company-wide winter shutdown in December, and up to 10 sick days throughout the calendar year. DISCLAIMER The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

Essential Responsibilities Performs assessments of electrical systems and prepare written reports documenting the capacity and limitations of the systems Performs detailed engineering calculations and analysis in connection with electrical design of utility systems for transportation facilities Prep

This role is open to candidates based in the San Francisco Bay Area, including San Francisco, the East Bay, South Bay/Silicon Valley, and the Peninsula About the Role We are building a GPU-native AI platform that provides model inference APIs, dedicated inference instances, and GPU infrastructure services for AI applications and agent workloads. Our platform supports multiple model categories, including: • large language models (LLMs), • speech models, including ASR and TTS, • image generation and diffusion models We are looking for a Senior AI Inference Performance Engineer to help us optimize model serving performance across these workloads on our GPU infrastructure. This role sits at the intersection of machine learning systems, GPU architecture, inference engines, CUDA optimization, and production serving infrastructure. You will be responsible for improving the throughput, latency, stability, and cost efficiency of model inference workloads running on our platform. This includes tuning model serving stacks, profiling bottlenecks, optimizing GPU utilization, and working across both software and system layers to achieve best-in-class inference performance. Responsibilities • Core Inference Optimization: Optimize performance for LLMs, speech, and image models by benchmarking and fine-tuning serving frameworks (e.g., vLLM, TensorRT-LLM, Triton) to maximize throughput, minimize latency, and reduce cost per inference., • Deep Profiling & Hardware Tuning: Analyze and resolve GPU bottlenecks across multiple layers—including CUDA kernel efficiency, KV cache behavior, and data movement—utilizing advanced observability tools like Nsight Systems and PyTorch Profiler., • System Architecture & Scalability: Elevate system-level performance across diverse deployment patterns (low-latency, high-throughput, multi-tenant) by refining model loading times, autoscaling behavior, request routing, and memory management., • Cross-Functional Collaboration: Partner with platform, infrastructure, and product teams to architect efficient serving pipelines for production APIs, establishing robust performance targets and capacity models., • Continuous Innovation: Stay at the forefront of the industry by actively integrating the latest advances in AI inference optimization, CUDA techniques, and open-source serving systems into production environments. Required Qualifications • Education & Core Experience: Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, Machine Learning, or a related field, accompanied by 5+ years of experience in ML systems, GPU software, inference optimization, high-performance computing, or large-scale model serving., • Deep Learning & GPU Architecture: Deep understanding of transformer-based models and modern generative AI workloads, paired with strong hands-on expertise in NVIDIA GPU architecture, CUDA, and multi-level performance tuning (kernel, framework, and system)., • Inference Frameworks & Tooling: Extensive experience with leading inference stacks—such as TensorRT, TensorRT-LLM, Triton Inference Server, vLLM, ONNX Runtime, PyTorch, SGLang, and TGI—alongside proficiency in modern GPU profiling and debugging tools., • Programming & Engineering Fundamentals: Strong programming skills in Python and C++, backed by solid software engineering principles and the ability to navigate complex model serving tradeoffs involving latency vs. throughput, memory footprint vs. concurrency, and precision vs. quality., • Production Infrastructure: Proven familiarity with deploying and scaling AI workloads in containerized and distributed production environments, including Kubernetes, Docker, and cloud or on-prem GPU clusters.

Our client is one of the most exciting companies in robotics right now. Founded by a repeat unicorn founder with multibillion dollar exits, they've raised over half a billion dollars to pursue a single audacious mission: a helpful robot in every home. Their lean, elite team of ~70 comes from Tesla, OpenAI, Google, Cruise, and Pixar. The best in the world, building something the world has never seen. The Role You'll own the full stack of a unified multimodal foundation model, from pretraining to deployment on real robotic hardware. This is foundational research with direct physical impact. No hand-offs, no bureaucracy, just hard problems and the resources to solve them. What You'll Do • Design and train large-scale multimodal architectures where vision, language, and kinematics share a unified representation, • Research and implement genuine cross-modal reasoning, not shallow associations, • Run end-to-end training loops: data curation, experiment design, failure diagnosis, and iteration, • Deploy models directly onto robotic hardware and optimize for edge inference What You Bring • Strong Python, C++, or Rust, • A proven track record training and deploying large-scale multimodal models in production, • Deep fluency in LLM pretraining, post-training, and RL at scale, • Comfort owning very large GPU cluster experiments from start to finish Why This The problems are unsolved. The team is world-class. The funding is exceptional. If you want to do the most consequential work in embodied AI right now, with the people and resources to actually ship it, this is the role.

Propulsion Test Engineer - San Francisco Overview We're looking for an experienced engineer to take full ownership of cutting-edge high-pressure fluid and gas systems. You'll operate within a fast-paced, extreme-autonomy environment, with hands-on responsibility for novel hardware and systems-level engineering. Core Responsibilities • Execute testing of high-pressure gas and fluid systems., • Operate, monitor, and troubleshoot pressurized test setups., • Support design and assembly of test hardware and fluid systems., • Integrate sensors, instrumentation, and data acquisition systems., • Perform test runs, collect and analyze data., • Maintain test procedures, logs, and safety documentation. Qualifications • 2–5 years in test, lab, or hardware-focused engineering roles., • Experience with pressurized gas or fluid systems., • Familiarity with instrumentation and data acquisition tools., • Exposure to safety-critical environments is a plus. Additional Attributes • Strong hands-on and problem-solving skills., • Detail-oriented with solid documentation habits., • Comfortable working in fast-paced test environments. We're looking to close this one out ASAP. Apply with a resume below.

Superintendent San Francisco, CA $120,000 - $180,000 + Bonuses + Vehicle/Allowance + Health Insurance + PTO Excellent opportunity for an Superintendent to join a leading, nationwide general contractor, providing the opportunity to work on a range of high-quality and fast-paced interior finish-out projects. On offer is the chance to work on some of the most exciting and transformative projects throughout the state, while having the opportunity to leverage the diversity of your experience to drive the company forward. This is for a highly reputable general contractor in the state of California. As a trusted partner to some of the world’s most well-known, highest valued companies, they have an impressive backlog of work and are looking for another Superintendent to join and contribute to their strategic growth. In this role you will have the opportunity to tangibly impact some of the most recognizable buildings in San Francisco. The high-quality field operation is fundamental to managing the company through their pipeline of projects and next stages of development. This role would ideally suit an Superintendent who has experience working on remodel and/or ground up projects valued up to $100m. This is a fantastic opportunity for somebody looking to work on some of the most exciting projects on the West Coast, with the desire to work for a company that are growing exponentially and are highly regarded for their work - all whilst earning a fantastic annual salary and supporting package. The Role • Manage schedules, personnel, submittals, look aheads and meetings. Liaise with all relevant stakeholders., • Oversee all site activities and ensure project safety., • $120,000 - $180,000 + Bonus + Health Insurances, PTO & more. The Person • Commercial construction experience, • Interior finish out / tenant improvement / ground up projects, • Looking for a long-term position to impact the future trajectory of the company To apply for this role or to be considered for further roles, please click "Apply Now" or contact Matt Appleby at RISE Technical Recruitment. Rise Technical Recruitment Inc of 1011 Centre Rd, Suite 322, Wilmington, DE 19805 act as an employer-paid private personnel agency. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client. We are an equal opportunities company and welcome applications from all suitable candidates.

Location: Oakland, West Sacramento, or Fresno, CA (hybrid; onsite 2x/week) Duration: Permanent Position Salary: $175,080.00/yr Overview Insight Global is partnering with a large local utility as they grow their Electric Engineering organization to support the surge in electricity demand driven by data centers, electric vehicle adoption, and large-scale grid modernization efforts. The Substation Project Engineer will join a large Electric Engineering organization focused on ensuring safe, reliable, and scalable infrastructure delivery. This team is responsible for engineering standards, design, regulatory compliance, and execution of substation and power system projects that support long-term grid performance. This role combines hands-on engineering (studies and conceptual design) with project execution, coordination, and technical leadership across internal teams, contractors, and consultants. Key Responsibilities Engineering Analysis & Design • Perform engineering analyses and studies to support substation projects, • Develop conceptual designs and evaluate engineering solutions, • Prepare technical documentation including design criteria, specifications, and reports, • Interpret and apply applicable codes, standards, and regulatory requirements Project Coordination & Execution • Present findings to internal stakeholders, contractors, and vendors, • Participate in design review meetings and conduct field walkdowns, • Evaluate and recommend alternative project solutions based on cost, feasibility, and system impact, • Coordinate across engineering, construction, and project teams Consultant & Contractor Oversight • Prepare and evaluate proposals from engineering consultants, • Review consultant work for technical accuracy and compliance, • Provide guidance to contractors and design teams, • Review technical documents, drawings, and specifications Reliability & Issue Resolution • Support root cause analysis and contribute to corrective actions, • Assist in development of restoration plans for system reliability, • Respond to facility failures when needed Project Ownership & Planning • Plan and manage work independently under general direction, • Manage multiple projects simultaneously depending on scope and complexity, • Apply engineering judgment to develop practical, cost-effective solutions, • Support and guide less experienced engineers when applicable Technical Environment • Utility-scale substation engineering and infrastructure projects, • Full project lifecycle exposure from engineering studies through construction support, • Cross-functional collaboration with project management, construction, contractors, and consultants, • Heavy focus on technical documentation, compliance, and design review, • Hybrid work environment with both office-based work and field engagement What Makes This Opportunity Stand Out? • Work on high-impact infrastructure tied to grid modernization, EV growth, and data center demand, • Strong mix of technical engineering work and real-world project execution, • Exposure to large-scale utility operations and cross-functional engineering teams, • Opportunity to build long-term career growth within utility engineering and project leadership Required Qualifications • Bachelor’s degree in Electrical Engineering or related technical field, • 3+ years of experience in power system engineering and design, • Ability to work hybrid onsite 2x/week in Oakland, West Sacramento, or Fresno Nice to Have (Not Required) • Experience in substation engineering and design, • California Professional Engineer (PE) license $175,080.00 per year Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law

KINCO Automation is expanding into the U.S. market and building its local team from the ground up. We are looking for a Solution & Application Engineer to work closely with sales, customers, and partners to grow our factory automation business. Responsibilities ● Support sales with pre-sales technical consulting, solution design, and customer demos ● Work with OEMs, system integrators, distributors, and end users ● Provide application support for servo drives, motors, PLCs, HMIs, and motion control systems ● Support customer evaluations, pilot projects, and first-machine builds ● Assist with partner training and distributor technical enablement ● Act as a technical bridge between U.S. customers and global R&D teams Requirements ● Background in factory automation, motion control, PLC, servo systems ● Experience in customer-facing roles (FAE, application engineer, technical sales, controls engineer) ● Strong communication skills and hands-on troubleshooting ability ● Comfortable working in an early-stage, fast-growing U.S. organization ●Fluent Chinese and English Why KINCO ● High ownership, high visibility, real market impact ● Clear growth path toward Senior FAE / Technical Lead

About the job Senior AI Engineer (VP Level) San Francisco or New York Partnered with a highly technical investment firm building AI systems designed to modernize and reshape how investment workflows operate internally. Role focuses on building production-grade AI applications, agentic systems, and LLM-powered workflows that solve real operational and analytical problems across the investment lifecycle. Environment is highly technical, deeply collaborative, and centered around practical AI adoption rather than theoretical research or foundation model development. What You’ll Work On • Building AI-powered applications and workflows used across investment and operating teams, • Designing agentic systems and LLM orchestration frameworks, • Developing scalable AI infrastructure across AWS, Snowflake, APIs, and internal systems, • Translating complex business and investment workflows into AI-enabled systems, • Identifying opportunities for automation and operational efficiency through AI, • Working closely with technical leadership, operators, and investment professionals on high-impact initiatives Ideal Background • Strong software engineering foundation, • Recent hands-on experience building GenAI / LLM applications, • Experience developing production-grade AI systems, • Strong Python and AWS experience, • Strong understanding of system architecture, distributed systems, and AI infrastructure, • Experience with RAG systems, orchestration frameworks, agents, and LLM application design Environment & Working Style Highly autonomous, builder-oriented environment with strong exposure to both technical and business stakeholders. Strong preference for onsite collaboration, particularly at the beginning. San Francisco is preferred, though New York is also open. Flexible hybrid environment over time, but not a minimal in-office setup. Compensation Target total cash compensation ranges roughly from $425K–$650K depending on level and experience, with significant performance-driven upside included.

Cost Estimator - San Francisco, CA Salary: $90,000 – $130,000 Fortiva are partnering with a leading Owner’s Representative and construction consultancy to appoint a Cost Estimator to support a diverse portfolio of projects across multiple sectors. This is an excellent opportunity for a detail-oriented professional to play a key role in delivering accurate cost advice and supporting financial decision-making across the full lifecycle of construction projects. Position Overview The Cost Estimator will be responsible for delivering independent cost management services across multiple projects of varying scale and complexity. This includes developing estimates, reviewing change orders, supporting feasibility studies, and providing ongoing cost analysis to ensure projects remain aligned with budget and commercial objectives. You will work closely with project teams and clients, providing insight, identifying risks, and highlighting opportunities to enhance value and improve project outcomes. Key Responsibilities • Prepare conceptual, schematic, and detailed cost estimates, • Develop and maintain cost plans and budgeting strategies, • Review and assess change orders, variations, and contractor bids, • Conduct quantity take-offs from drawings and specifications, • Support value engineering, life cycle costing, and sustainability analysis, • Analyze labor, material, and time requirements to produce accurate estimates, • Identify cost risks and provide recommendations to mitigate impact, • Produce cost reports, benchmarking data, and financial summaries, • Maintain and update cost databases and historical cost information, • Collaborate with internal teams and external stakeholders to ensure alignment, • Present findings and cost advice clearly to clients and project teams Candidate Profile We are seeking a commercially aware and technically capable professional with a strong foundation in construction estimating and cost planning. • Degree in Construction Management, Quantity Surveying, or related discipline, • Experience in cost estimating, cost planning, and cost control within construction, • Background across commercial, institutional, or industrial sectors, particularly vertical construction, • Strong understanding of both early-stage estimating and detailed pricing, • Experience with procurement processes such as CMGC/GCCM is advantageous, • Proficiency in estimating software, on-screen takeoff tools, and BIM environments, • Ability to interpret technical drawings and specifications Why This Role • Opportunity to work across diverse, high-impact construction projects, • Collaborative, client-focused consultancy environment, • Strong exposure to both preconstruction and live project cost management, • Clear pathway for professional development and progression

We're hiring our Founding Machine Learning Engineer (MLE) with expertise in Agent Development and Time-Series Modeling. You'll play a foundational role in building production-grade systems that combine the power of LLM-powered agents with time-series foundation models. The Role This is not a narrow research role — you'll design, train, deploy, and monitor ML systems end-to-end, moving from prototype to production with speed and autonomy. You'll also be a core contributor to defining how agents interact with multimodal numerical data, a problem space where the playbook does not yet exist. Job Description: • Design, train, and deploy production ML systems (LLM-powered agents + time-series models), • Build and scale LLM-powered agents with advanced capabilities: multi-step reasoning, tool integration, autonomous workflows, memory/context management, and adaptive strategies, • Develop and refine evaluation frameworks for agents, ensuring reliability, safety, and measurable performance, • Apply and extend time-series modeling techniques (forecasting, anomaly detection, multimodal fusion) in real-world customer scenarios, • Operate end-to-end: from data ingestion and preprocessing to deployment, monitoring, and continuous improvement, • Stay ahead of the curve on the latest innovations in AI agents, orchestration frameworks, and infrastructure (MCP, A2A, etc.), • Proven industry experience (4-10 years) as an ML Engineer, Research Engineer, or Applied Scientist, with a track record of shipping production ML systems, • Hands-on expertise in LLM-powered agents: multi-step reasoning, tool use, context windows, autonomous workflows, agent memory, • Deep understanding of agent evaluation techniques (reliability, safety, success metrics), • Up-to-date with modern agent infrastructure and frameworks (MCP, A2A, etc.), • Fluency with ML engineering best practices: reproducibility, monitoring, scaling, CI/CD, observability, • Experience training custom neural networks beyond pre-trained LLMs (e.g., transformers for time-series or multimodal data), • A background in time-series modeling (forecasting, anomaly detection, classical + deep learning approaches), • Location: San Francisco Bay Area, CA (in-person), • Visa Sponsorship: H1-B, O1

Founding Mechanical Engineer - Bay Area (On-site) - Novel Space Hardware A leading New Space Start-Up is looking for a Mechanical Engineer to own the design, build, and testing of complex hardware systems in high-performance environments. This role spans structures, fluid systems, and thermal applications, with a strong hands-on focus. You will: • Be responsible for design, development, and integration of mechanical systems, • Build novel technology from prototype to deployment, • Assist with instrumentation and basic embedded system interfacing, • Collaborate with cross-functional teams on system integration You'll bring: • Bachelor’s degree in Mechanical, Aerospace, Systems Engineering, or related field, • Proven experience in full-lifecycle design, testing, manufacturing, or R&D, • Exposure to fluid systems, • Hands-on experience with hardware development and testing, • Strong problem-solving and organizational skills Preferred Experience • Experience with high-pressure fluids, • Exposure to regulated or hazardous test environments, • Familiarity with instrumentation or embedded systems

Director of Construction Project Management Location: San Francisco, CA Function: Project Management Leadership About the Role We are seeking a Head of Project Management to lead a fast-paced, high-volume project delivery operation in the San Francisco Bay Area. This role oversees a diverse portfolio of short-duration commercial projects while driving operational performance, team development, and business growth. The ideal candidate brings strong general contractor experience, excellent client-facing communication, and proven leadership across multiple simultaneous projects. What You’ll Do Portfolio & Delivery Leadership • Lead a high-volume portfolio of short-duration, quick-turn commercial projects., • Manage and mentor project managers at all levels, ensuring quality, consistency, and throughput., • Provide hands-on guidance in scoping, estimating, bid leveling, contracting, and field execution., • Implement repeatable processes and reporting standards across all active projects. Operational & Financial Management • Run the PM function as a business unit with accountability for utilization, forecasting, fee-versus-hours, and margin performance., • Maintain tight controls on project budgets, billing cadence, and financial reporting., • Balance workloads across the team and maintain a strong operating rhythm. Business Development & Client Strategy • Build and grow the regional project pipeline through client relationships and preference shaping., • Lead proposal writing, scope narratives, and competitive bid responses., • Communicate complex scopes and strategies in a clear, persuasive manner to guide client decisions Leadership & Communication • Present confidently to senior stakeholders and clients with strong executive presence., • Drive consistency, accountability, and disciplined execution across the PM team., • Foster a culture of agility, responsiveness, and continuous improvement. What We’re Looking For Experience • 8–12 years in project delivery, including 5+ years in a leadership role., • Strong history managing high-volume, short-duration commercial project portfolios., • Background in commercial interiors, corporate facilities, or capital upgrade projects., • General contractor experience strongly preferred (scoping, bid leveling, subcontractor negotiations). Skills & Attributes • Proven ability to run a PM operation with full accountability for financial and operational metrics., • Strong written and verbal communication skills, especially for client narratives and proposals., • Ability to work in a fast-moving environment with multiple simultaneous deliverables., • High commercial acumen and sound judgment., • Comfortable providing hands-on support to PMs when needed. Why This Role Matters This leader will shape the local market strategy, grow the project pipeline, and ensure high-quality delivery across a fast-cycle project portfolio—while developing a strong, capable team. If this position is of interest, please apply or reach out to Jake directly.

🚀 Our client is hiring: Applied Research Engineer (Video AI / Computer Vision) 📍 In-person | San Francisco Our client is building high-performance systems to understand video at internet scale. Video now accounts for ~80% of internet traffic and is rapidly becoming the foundation for creativity, communication, gaming, AR/VR, and robotics. The limiting factor in next-generation AI isn’t models — it’s high-quality video data and understanding at scale. This team sits at the intersection of: • Computer Vision, • Audio + speech processing, • Multimodal AI systems, • Large-scale data infrastructure Their mission is to transform raw video into structured, usable datasets and systems that unlock frontier model performance. 🧠 The role As an Applied Research Engineer, you’ll design and build systems that power large-scale video understanding. You’ll work across both research and production, including: • Building high-performance data and inference pipelines, • Improving model performance through smart preprocessing and optimisation, • Working with APIs, models, and multimodal systems, • Solving ambiguous, research-heavy engineering problems, • Shipping end-to-end systems that directly impact customers and model capability 🔧 What they’re looking for • 2+ years experience in Computer Vision or Audio ML, • Strong Python engineering skills, • Experience with PyTorch or similar ML frameworks, • Ability to work across research + production environments, • Strong communication skills with technical and non-technical stakeholders, • Clean, production-quality coding practices, • Ability to translate customer problems into technical system design, • Passion for video, media, or multimodal AI systems ⭐ Bonus • Open-source contributions, • Early-stage startup experience, • Portfolio of applied ML or systems work 📍 Must be based in or willing to work in-person in San Francisco. If you’re interested in building systems that turn video into intelligence at scale, our client would like to hear from you.

Project Engineer Location: Hayward, CA (servicing various sites across the Greater Bay Area) Industry Focus: Institutional Education Construction Projects Employment Type: Full-time Overview We are seeking a detail-oriented Project Engineer to support ground-up and modernization institutional education projects across the Greater Bay Area. Based out of the Hayward office, this role provides critical administrative and technical support throughout all phases of construction, from bidding and documentation to project closeout. Must Haves • A minimum of 2yrs' of experience in a Project Engineering role, • Ability to track and manage RFIs, submittals, and related documentation to meet tight deadlines, • Proficiency using Procore or equivalent construction management platforms, • Understanding of subcontractor and owner contract documentation, including change orders, • Ability to support construction bidding processes, including plan distribution and bid recaps, • Competence in preparing closeout packages, notice of completion, and archiving project files, • A Driving License and reliable transportation to travel to various project sites as needed Nice to Haves • Experience delivering institutional education projects from start to finish, • Prior experience with either DSA or OSHPD regulated projects, • Familiarity with prevailing wage documentation and compliance workflows, • Bachelor’s degree in Construction Management, Engineering, or related field, • Experience coordinating with accounting teams on owner billing and cost reporting, • Exposure to commercial or industrial projects in addition to institutional work Responsibilities • Provide comprehensive administrative and documentation support to assigned Project Managers, • Process subcontractor agreements, POs, work orders, and change orders in Procore within 48 hours, • Process owner contracts, change order proposals, and final change orders as required, • Receive and log executed subcontract documents and upload to Procore within 24 hours, • Prepare and track RFIs and submittals in accordance with project schedules and deadlines, • Draft and issue professional correspondence as needed or directed, • Support bidding processes including document preparation, outreach, and tracking, • Maintain organized and up-to-date project files throughout the project lifecycle, • Provide field teams with current subcontractor and project information, • Prepare project closeout documents and notice of completion within 30 days of project wrap-up, • Label and organize field/office files and prepare for archiving, • Coordinate and schedule project start-up and close-out meetings, • Generate cost reports and assist with monthly financial reporting, • Attend weekly project meetings and document outcomes as needed, • Collaborate with the Accounting team on billing cycles and resolve related issues

Who You Are You’re a full stack engineer who wants to own and execute on high-impact AI initiatives, including: • Designing and scaling horizontal AI agents that can operate across multiple departments, cities, and workflows, • Building large-scale systems that process millions of public records into structured, agent-readable knowledge graphs You’d be a strong fit if you have: • 3+ years of experience building production systems at fast-moving startups, from early-stage through scale, • A track record of shipping and owning products end-to-end in high-ownership environments, • Experience integrating AI into product workflows through LLMs, agentic systems, automation tooling, or AI-powered features, • A pragmatic, execution-focused mindset with a bias toward action and iteration, • Comfort moving between architecture decisions, hands-on implementation, and cross-functional collaboration, • Strong experience with technologies such as Python, TypeScript, FastAPI, Next.js, TailwindCSS, Supabase, Selenium, shadcn/ui, and LLM APIs, • Interest in working onsite in San Francisco or New York, 5 days per week

Zenos is a highly funded next-gen AI/robotics startup, with strong customer demand. We are delivering AI productivity to the physical world. We’re attacking a trillion dollar market opportunity with a world class team at lightning speed, and having a ton of fun while doing it. This role is for someone who thrives in ambiguity, operates independently, and likes working on interesting and varied problems with smart people from places like Google, Amazon, Stanford, Carnegie Mellon, and Apple. Our founders previously started a successful AI company and exited for nine figures, and our CEO has been an executive at a hyperscale tech company. Join us early and take on outsized equity ownership. This is a chance to join an elite company with a unique strategy to build the next phase of AI - in the physical world. We have a smart, fun, friendly team, and are hiring fast. We are currently in stealth mode, but excited to launch with major announcements soon. What We’re Looking For We are looking for top engineers that combine experience with intellectual horsepower. Excellence: A track record of designing, scaling, and maintaining robust, performant systems. A software expert first, but excited to play with a bit of hardware. Ownership: You will work with the team to set coding standards, define the tech stack, and mentor new hires as we scale. Dynamism: You enjoy defining the problem as you solve it, and work well with others to crack big challenges. You’re not afraid to dive into multiple parts of the stack and do something that is fundamentally new. Nice to haves: • Experience: Ideally 7+ years of professional experience in high-growth environments, leading technology companies, or elite research labs., • AI/ML: any - especially object recognition, reinforcement learning, and deep neural nets, • Systems: multi-threading, dev ops, networking, linux, • Competitive salary + significant equity: we want you to own what you build, • Whatever is needed: Blackwell GPUs, etc., • Full relocation support, • 100% health coverage

Machine Learning Engineer – Speech Model Training $250,000 - $300,000 San Francisco, CA Hybrid, 3x per week in office Full time / Permanent In this role you won’t be wrapping APIs or fine-tuning existing models. You’ll be building models across raw acoustic signal processing all the way through to production inference on edge devices. At a company that actually ships to 1.5M+ live users. A profitable, fast-growing AI company ($250M ARR in under three years, no VC dependency) is standing up a SpeechLLM lab from scratch. This is a founding seat on that team. They build a hardware-software AI companion used daily by over 1.5 million professionals worldwide. The next chapter is a world-class speech intelligence core and they need the engineers to architect it. What you'd own: • Design and train large-scale speech models end-to-end. Unified SpeechLLMs, ASR, expressive TTS, generative audio, • Own the full stack from acoustic feature engineering to GPU cluster optimisation, • Run and optimise distributed training at scale via PyTorch or JAX, FSDP, DeepSpeed, etc, • Drive real-time inference performance with vLLM, TensorRT-LLM, or SGLang, • Apply RL alignment techniques to improve conversational quality, • Proven experience training large-scale audio or speech models from the ground up, • Deep PyTorch or JAX expertise with real distributed training experience, • Genuine comfort traversing the entire ML stack from signal processing to production, • A bias toward shipping: you take ownership, you iterate fastStrong bonus: neural audio codecs, diffusion/flow-matching architectures, or LLM pretraining experience. Why join • Profitable company at ~$250M run rate - you'll see the impact of your work immediately in a product used daily by professionals worldwide, • Direct ownership of the live speech quality stack, not a supporting role in a large org, • Hybrid San Francisco team with real access to large, diverse, multilingual audio datasets, • Short feedback loops - improvements ship fast and metrics are visible, • Clear path toward senior technical leadership as the audio team grows

Our client, a highly respected, multidisciplinary engineering firm with over 40 years of success, is seeking a Project Land Surveyor. The company combines a collaborative, team-first culture with a genuine family feel—offering employees the chance to work on impactful projects while growing within a supportive and stable environment Specific duties: • Performs surveying tasks on difficult projects, and hands on preparation of subdivision maps, resolving boundaries and preparing cost estimates through the use of CADD, LDD, MS Word, MS Excel and other software., • Maintains and coordinates quality control at a project level for all tasks related to project delivery., • Regularly performs project management and control duties. Tasks may include direct involvement with development or maintenance of contract scope, budget, and schedule. May manage scope and budget for specific tasks on complex projects and be responsible for billing., • Responsible for projects of moderate to average complexity, supervising less experienced surveyors and/or technicians on multiple or specific tasks., • After appropriate reviews, sign maps and documents as Professional Land Surveyor in responsible charge of projects or portions of projects. Qualifications: • State of California registration as a Land Surveyor. (Preferred), • A minimum of 6 years of professional experience, including at least two years experience equivalent to Surveyor., • Comprehensive knowledge of CADD, LDD and other business application software programs., • Advanced working knowledge of Land Surveying and Project Management., • Excellent time management skills and excellent oral and written communication skills.

We're hiring our Founding Machine Learning Engineer (MLE) with expertise in Agent Development and Time-Series Modeling. You'll play a foundational role in building production-grade systems that combine the power of LLM-powered agents with time-series foundation models. The Role This is not a narrow research role — you'll design, train, deploy, and monitor ML systems end-to-end, moving from prototype to production with speed and autonomy. You'll also be a core contributor to defining how agents interact with multimodal numerical data, a problem space where the playbook does not yet exist. Job Description: • Design, train, and deploy production ML systems (LLM-powered agents + time-series models), • Build and scale LLM-powered agents with advanced capabilities: multi-step reasoning, tool integration, autonomous workflows, memory/context management, and adaptive strategies, • Develop and refine evaluation frameworks for agents, ensuring reliability, safety, and measurable performance, • Apply and extend time-series modeling techniques (forecasting, anomaly detection, multimodal fusion) in real-world customer scenarios, • Operate end-to-end: from data ingestion and preprocessing to deployment, monitoring, and continuous improvement, • Stay ahead of the curve on the latest innovations in AI agents, orchestration frameworks, and infrastructure (MCP, A2A, etc.), • Proven industry experience (4-10 years) as an ML Engineer, Research Engineer, or Applied Scientist, with a track record of shipping production ML systems, • Hands-on expertise in LLM-powered agents: multi-step reasoning, tool use, context windows, autonomous workflows, agent memory, • Deep understanding of agent evaluation techniques (reliability, safety, success metrics), • Up-to-date with modern agent infrastructure and frameworks (MCP, A2A, etc.), • Fluency with ML engineering best practices: reproducibility, monitoring, scaling, CI/CD, observability, • Experience training custom neural networks beyond pre-trained LLMs (e.g., transformers for time-series or multimodal data), • A background in time-series modeling (forecasting, anomaly detection, classical + deep learning approaches), • Location: San Francisco Bay Area, CA (in-person), • Visa Sponsorship: H1-B, O1

Staff Agentic AI Engineer / AI Engineer $200,000 - $250,000 San Francisco, CA Onsite, 5x per week in office Full time / Permanent Most "agentic AI" roles are still research projects dressed up as products. This one isn't. The agent is live, in production, handling real workflows for Tesla, BMW, Meta, and Amazon. You’ll be in the codebase from day one, improving an agent that's already shipping, not starting from a blank page. This company builds AI-powered automation for mechanical engineers. Think Claude Code, but for CAD, CAE, and PLM workflows. $32M raised, backed by Eric Schmidt and early investors in Anthropic and OpenAI. Over 1,000 customers running production workflows on the platform. They're hiring a Staff Engineer to own the agent intelligence layer, the system that takes an engineer's intent and executes it reliably across complex desktop software. What you'd own: • Evals infrastructure and agent benchmarking - defining what "good" looks like for a domain with no established benchmark, • Agent harness build-out and ongoing performance improvement (task success rate, token efficiency, workflow coverage), • Architecture decisions: tool-calling strategy, state management, context handling, model routing, error recovery, • Proven expertise building agentic systems into production. Systems that take real actions - tool-calling, multi-step state, failure handling, cost constraints. Ideally 2+ years, • Strong on evals: task completion, failure mode analysis, regression detection, • Production-first mindset - you'd rather ship 70% coverage reliably than demo a clever system you can't measure

The Culture We Are Building • We are assembling a lean group of generalists. While we welcome experience, we're primarily looking for creative, curious problem solvers with a keen interest in open-ended, technically challenging problems., • We are looking to hire in-person in San Francisco. We believe that having a community is critical for learning, growth, and camaraderie. We will pay generously for relocation assistance., • We want to invest heavily in our team's growth. We will happily sponsor conference attendance and encourage projects and research. If there's something that will help you grow as an engineer, researcher, or designer, we actively want to support it., • We believe in compensating exceptional talent exceptionally well. We are an early stage company, but are committed to working with candidates we're excited about to ensure they are excited too., • We have an academic as well as competitive spirit. We enjoy thought exercises, math puzzles, intellectual inquiry, and vigorous debates. Role: Machine Learning Engineer Design, train, and ship models that guide reviewers to the most important changes, resolve merge conflicts more safely, and make diffs understandable through semantic grouping and summarization. You'll combine retrieval, code‑aware modeling, and small‑model techniques to deliver low‑latency, cost‑effective ML in production. Responsibilities • -Train and fine‑tune models that predict the next location a reviewer should focus on: ranking files, hunks, and comments, • -Build ML‑assisted merge conflict resolution: align and reconcile hunks using code context/AST, propose safe resolutions, and explain changes, • -Develop semantic change grouping and diff visualization: detect refactors/moves, cluster related edits across files, and generate concise summaries, • -Evaluate retrieval and RAG for pull requests: retrieve relevant context, discussions, and history to improve grouping, prioritization, and summarization, • -Design offline/online evaluation: labeled datasets, ranking metrics (e.g., MAP/NDCG), A/B experiments, and human‑in‑the‑loop feedback, • -Strong background in deep learning research and implementation, with experience in modern architectures and concepts (transformers, MoE, reasoning, etc.), • -Track record publishing results at top-tier conferences (NeurIPS, ICML, ICLR), • -Expertise in Python and ML frameworks (PyTorch, JAX), • -Experience with MLOps and model optimization (ONNX, TensorRT, serving infrastructure), • -Familiarity with cost‑effective techniques: LoRA, supervised fine‑tuning, distillation, and quantization for small/efficient models, • -Familiarity with systems programming across the stack: Rust/C/C++, CUDA/GPU optimization, and kernel-level performance tuning, • -Experience with reinforcement learning, particularly in systems optimization and decision-making tasks

Our client, a Fortune 500 retail organization with a nationwide distribution network, is seeking a Strategic Sourcing Manager to support large-scale construction and facilities engineering procurement initiatives across their supply chain network. This role plays a key part in sourcing industrial construction materials, equipment, and services for new facility builds, expansions, and ongoing engineering initiatives. The individual will partner closely with engineering, property development, legal, finance, and operations teams to design sourcing strategies that deliver cost efficiency, risk mitigation, and supplier performance improvements. The ideal candidate will bring deep expertise in construction procurement, contract negotiation, and cost modeling, with the ability to influence stakeholders and drive complex sourcing projects from concept through execution. Projects You’ll Work On • Leading end-to-end strategic sourcing initiatives for industrial construction and facilities engineering categories., • Developing sourcing strategies for categories such as steel structures, concrete, MEP systems, material handling equipment, racking systems, conveyors, and site services., • Managing the full sourcing lifecycle including market research, supplier identification, RFP development, bid management, negotiations, and contract execution., • Conducting construction cost analysis, clean-sheet modeling, and should-cost modeling to identify optimal pricing and savings opportunities., • Partnering with engineering and development teams to support distribution center construction, expansions, and infrastructure upgrades., • Managing supplier relationships and performance through KPIs, quarterly business reviews (QBRs), and executive-level supplier meetings., • Performing spend analysis and market intelligence research to anticipate supply risks and pricing fluctuations., • Driving cost optimization through value engineering, competitive bidding, and strategic negotiations., • Supporting facilities engineering teams with sourcing for material handling equipment repair, refurbishment, and replacement., • Developing presentations and recommendations for executive leadership to support strategic sourcing decisions. What Experience You Should Bring • Bachelor’s degree in Supply Chain, Construction Management, Engineering, Finance, Economics, or Business (MBA or advanced degree preferred)., • 5+ years of strategic sourcing or category management experience focused on industrial construction or facilities engineering procurement., • Experience managing large-scale sourcing projects for construction materials, contractors, or engineering services., • Strong understanding of construction cost estimation, budgeting, and material cost drivers., • Experience leading RFP/RFQ processes, supplier negotiations, and contract development., • Ability to analyze supplier bids using TCO modeling, cost analysis, and financial modeling., • Experience working cross-functionally with engineering, legal, finance, and project management teams. What Will Help You Stand Out • Familiarity with distribution center construction, logistics infrastructure, or retail supply chain environments., • Experience working with construction management software (e.g., Procore) and sourcing platforms (e.g., Coupa)., • Knowledge of regulatory frameworks such as OSHA, LEED, and construction compliance standards., • Professional certifications such as CPSM, CCM, or CCPS., • Strong financial acumen including experience analyzing budgets, cash flow, and cost structures., • Advanced Excel skills (pivot tables, VLOOKUPs, data modeling) and strong presentation capabilities. Work Environment • Hybrid role with regular in-office collaboration and occasional travel to facilities and project sites., • Ability to manage multiple sourcing projects simultaneously in a fast-paced, cross-functional environment. Compensation & Benefits The base salary range for this position is up to $200,000.00, depending on experience and qualifications. The total rewards package may include performance incentives, health benefits, retirement plans, and professional development opportunities.

The ideal candidate has experience with multi-camera capture systems, capable of quickly learning how to work with new custom devices, including hardware setup, capture, calibration, system upgrades, and data transfer. A qualified candidate will work with software engineers and external partners, suppliers, and researchers to ensure all aspects of the project are covered.

We're hiring our Founding Machine Learning Engineer (MLE) with expertise in Agent Development and Time-Series Modeling. You'll play a foundational role in building production-grade systems that combine the power of LLM-powered agents with time-series foundation models. The Role This is not a narrow research role — you'll design, train, deploy, and monitor ML systems end-to-end, moving from prototype to production with speed and autonomy. You'll also be a core contributor to defining how agents interact with multimodal numerical data, a problem space where the playbook does not yet exist. Job Description: • Design, train, and deploy production ML systems (LLM-powered agents + time-series models), • Build and scale LLM-powered agents with advanced capabilities: multi-step reasoning, tool integration, autonomous workflows, memory/context management, and adaptive strategies, • Develop and refine evaluation frameworks for agents, ensuring reliability, safety, and measurable performance, • Apply and extend time-series modeling techniques (forecasting, anomaly detection, multimodal fusion) in real-world customer scenarios, • Operate end-to-end: from data ingestion and preprocessing to deployment, monitoring, and continuous improvement, • Stay ahead of the curve on the latest innovations in AI agents, orchestration frameworks, and infrastructure (MCP, A2A, etc.), • Proven industry experience (4-10 years) as an ML Engineer, Research Engineer, or Applied Scientist, with a track record of shipping production ML systems, • Hands-on expertise in LLM-powered agents: multi-step reasoning, tool use, context windows, autonomous workflows, agent memory, • Deep understanding of agent evaluation techniques (reliability, safety, success metrics), • Up-to-date with modern agent infrastructure and frameworks (MCP, A2A, etc.), • Fluency with ML engineering best practices: reproducibility, monitoring, scaling, CI/CD, observability, • Experience training custom neural networks beyond pre-trained LLMs (e.g., transformers for time-series or multimodal data), • A background in time-series modeling (forecasting, anomaly detection, classical + deep learning approaches), • Location: San Francisco Bay Area, CA (in-person), • Visa Sponsorship: H1-B, O1