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AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of Hardware in our data centers including technologies such as AWS Inferentia which is a machine learning inference product designed to deliver high performance at low cost. You’ll provide leadership in the application of new technologies to large scale deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you’ll work with thought-leaders in multiple technology areas. You’ll have relentlessly high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve our products' performance, quality and cost. We’re changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today. Key job responsibilities • Develop & maintain flows for block and full-chip level static timing analysis, • Write, debug & validate timing constraints for blocks and full-chip., • Run Static Timing Analysis and give frequent feedback to team members and leads., • Provide guidance on how to fix timing issues (generate ECOs, fix constraint issues)., • Develop scripts to automate running timing analysis and generate reports., • Be a highly-valued member of our start-up like team through excellent collaboration and teamwork with other physical design engineers as well as with the RTL/Arch. teams, • Experience scripting or coding, • BS + 6yrs or MS + 4yrs or PhD + 2yr in EE/CS, • Expertise in timing analysis fundamentals, • 1+ years doing Static Timing Analysis, • 1+ years with timing constraint development, • Timing Analysis using EDA tools (examples: PrimeTime, Tempus, or others), • Understanding of ASIC Physical Design from RTL-to-GDSII, • Understanding of other sign-off activities (ir/em, physical verification, DFT), • 1+ years of scripting experience with Tcl, Perl or Python, • Experience in mentoring, leading and coaching, • Expertise developing flows using STA tools (examples: PrimeTime, Tempus or others), • Expertise in ECO flows (examples: PT-DMSA, Tempus-ECO, Tweaker or others), • Experience in advanced nodes - 16nm or below, • Expertise in parasitic extraction tools (examples: STAR-RC, Quantus or others), • Expertise on circuit level analysis using tools like SPICE / SPECTRE, • Experience with timing of IO interfaces like DDR, HBM, PCIe, Die-to-Die etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit _ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, CA, Cupertino - 176,600.00 - 247,300.00 USD annually USA, TX, Austin - 153,600.00 - 215,000.00 USD annually

Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries. Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies. We’re looking for an ASIC Design Eengineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs. Key job responsibilities As an ASIC Design Engineer, you will: • Develop and implement high-performance, area and power-efficient RTL designs to meet project specifications and targets, • Conduct in-depth analysis of designs, microarchitectures, and architectures to optimize trade-offs between features, power consumption, performance, and area requirements, • Create microarchitectures, implement SystemVerilog RTL, and deliver synthesis and timing-clean designs with appropriate constraints, • Execute lint and clock domain crossing quality checks to ensure design integrity, • Collaborate closely with cross-functional teams, including architects, fellow designers, verification specialists, pre- and post-silicon validation teams, and synthesis, timing, and back-end experts The ideal candidate will have a strong background in ASIC design, proficiency in SystemVerilog, and excellent analytical and problem-solving skills. Experience with high-performance and power-efficient designs is highly desirable. You will thrive in this role if you: • Have a "Learn and Be Curious" mindset, • Have familiarity with key components such as interconnects, DMAs, Memory sub-systems, accelerator engines, debug and system level architectures, • Have a strong drive to innovate, explore new solutions, and contribute to the company's intellectual property through patents About the team Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future. We are open to hiring candidates to work out of one of the following locations: Cupertino, CA, USA | Austin, TX, USA • Bachelor's degree in Electrical Engineering or a related field, • Experience identifying bugs in architecture, algorithms, functionality, and performance with strong overall debugging skills, • Experience verifying at multiple levels of logic from IP blocks to SoCs to full system testing, • Master's degree in Electrical or Communications Engineering or a related field, • Experience with formal verification techniques including abstraction and end-to-end checking, • Experience with ARM and various DSP ISAs, • Experience with current and upcoming RF standards in cellular (4G/5G NR), WiMAX, 802.11ad, microwave backhaul, or related broadband wireless standards, • Experience with industry standard tools and scripting languages (Python or Perl) for automation Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit _ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, CA, Cupertino - 176,600.00 - 247,300.00 USD annually USA, TX, Austin - 153,600.00 - 215,000.00 USD annually

Job DescriptionCompany Overview IDMe is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with IDMe once and seamlessly login across websites without having to create a new login and verify their identity again. Over 175 million users experience streamlined login and identity verification with IDMe at 22 federal agencies, 50 state government agencies, and more than 100 healthcare organizations. Over 600 consumer brands use IDMe to verify communities and user segments to honor service and build more authentic relationships. IDMe's technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. IDMe is committed to "No Identity Left Behind" to enable all people to have a secure digital identity. To learn more, visit https://network.id.me/. IDMe is a full-time, in-office culture. Unless a specific job description explicitly states otherwise, all roles are on-site five days per week at one of our offices in McLean, VA; Mountain View, CA; New York City, NY; or Tampa, FL. Certain roles — such as field-based sales or other remote-by-design positions — may have different work arrangements as noted in their individual postings. At IDMe, we embrace the thoughtful use of AI tools in our daily work and there are even occasions where we leverage AI in our hiring process. However, during the interview process, we want to understand your individual skills and experiences. Therefore, we have guidelines on how AI can be appropriately used during your application and interviews which can be found here. Company Overview IDMe is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with IDMe once and seamlessly log in across websites without needing to create a new login and re-verify. Over 140 million users experience streamlined login and identity verification with IDMe across federal, state, healthcare, and consumer brand networks. IDMe's technology meets strict federal standards for consumer authentication (NIST 800-63-3 IAL2 / AAL2) , driving our commitment to "No Identity Left Behind". Role Overview IDMe is seeking a Tech Lead Manager (TLM) to lead and scale our Data Platform Team, with a heavy emphasis on Site Reliability Engineering (SRE) and Data Reliability. This team acts as the core service owner for IDMe's high-throughput PostgreSQL database clusters and our critical, in-house Identity Trust Graph Database. In this dual-hatted role, you will own the full technical architecture and people leadership mandate for the data platform tier. You will bridge the gap between deep infrastructure reliability and platform engineering, guiding a team of engineers to ensure our operational and analytical data layers meet strict SLAs for uptime, performance, data freshness, and compliance. The ideal candidate brings a strong systems-engineering mindset, deep expertise in managing large-scale relational databases, and a passion for building robust, self-healing data infrastructure. Key Responsibilities • Own Data Infrastructure & Reliability: Define and evolve the technical architecture and operational standards for IDMe's data platform, focusing heavily on the performance, scale, and high availability of production PostgreSQL database clusters and our in-house graph database., • Drive SRE Practices for Data Tier: Implement robust mechanisms for database clustering, replication, failover, disaster recovery, automated provisioning, and zero-downtime migrations., • Performance Engineering & Optimization: Monitor, optimize, and scale platform services to meet strict requirements for query latency, throughput, and cross-region availability. Guide data model and schema design across relational and graph architectures., • Lead Engineering Execution: Drive roadmap delivery across the team—setting priorities, removing operational blockers, and ensuring the team builds reliable data tools and automation. Balance short-term operational fire fighting with long-term platform health and technical debt reduction., • Team Leadership & Talent Development: Recruit, hire, mentor, and retain a high-performing team of database, infrastructure, and platform engineers. Conduct 1:1s, performance reviews, and career development conversations that foster a culture of ownership and technical excellence., • Security, Governance & Compliance: Partner with Security, Privacy, and Compliance engineering to enforce rigorous data governance, data minimization, lineage tracking, and access controls. Ensure infrastructure strictly complies with regulatory frameworks such as FedRAMP, NIST, and GDPR., • AI-Forward Operations: Champion AI-first practices across the team, leveraging AI tooling for automated test coverage, incident analysis, quick-start documentation, and infrastructure script generation.Required Qualifications, • Education: Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)., • Leadership Experience: 8+ years of total software/infrastructure engineering experience, with at least 3 years explicitly in an engineering management or tech lead manager capacity leading teams of 5–10+ engineers., • 5+ years of experience in data engineering, site reliability, or platform engineering.Preferred Qualifications, • Software Development Track Record: Previous track record of running or leading a regular software development or feature team (building backend APIs, business logic, or customer-facing applications) is a major plus., • Graph Database Experience: Familiarity or hands-on experience with graph database concepts, optimization, and technologies (e.g., Neo4j, Amazon Neptune) or custom-built graph layers., • Streaming & Pipelines: Experience with event-driven architectures and streaming data pipelines (e.g., Kafka, Kinesis) feeding into relational or non-relational datastores., • Regulated Environments: Background working within highly secure or regulated industries (e.g., FinTech, HealthTech, GovTech) handling highly sensitive personal data., • Database Expertise: deep, hands-on experience architecting, managing, tuning, and maintaining highly available production PostgreSQL database clusters at scale., • Reliability & SRE Foundations: Proven background in data reliability engineering, site reliability engineering, or core data platform engineering. Deep familiarity with setting up production SLAs/SLOs, automated alerting, and incident response systems., • Cloud & Infrastructure-as-Code: Strong experience with at least one major cloud platform (preferably AWS) and cloud-native ecosystem tools, including Kubernetes, Terraform, and Helm., • Cross-Functional Communication: Exceptional communication skills with the ability to translate complex database infrastructure and reliability needs into clear, actionable goals for product teams and executives. The annual base salary listed does not include a company bonus, incentive for sales roles, equity and benefits which will be determined based on experience, skills, education, relevant training, geographic location and role. IDMe offers comprehensive medical, dental, vision, health savings account, flexible spending accounts (medical, limited purpose, dependent care, commuter benefit accounts), basic and voluntary life and AD&D insurance, 401(k) with company match, parental leave, ability to participate in unlimited paid time off subject to the terms and conditions of the PTO policy, including 8 company wide holidays, short and long-term disability insurance, accident and critical illness insurance, referral bonus policy, employee assistance program, pet insurance, travel assistant program, wellbeing and childcare discounts, benefit advocates, and a learning and development benefit. Final offers may vary from the amount listed based on qualifications, professional experiences, skills, education, relevant training, geographic location, and other job related factors. Mountain View, CA and New York, NY Pay Range $226,000—$296,000 USD IDMe maintains a work environment free from discrimination, where employees are treated with dignity and respect. All IDMe employees share in the responsibility for fulfilling our commitment to equal employment opportunity. IDMe does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. IDMe adheres to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, IDMe's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request we will provide you with more information about such accommodations. Please review our Privacy Policy, including our CCPA policy, at id.me/privacy. If you provide IDMe with any personally identifiable information you confirm that you have read and agree to be bound by the terms and conditions set out in our Privacy Policy. IDMe participates in E-Verify.

Job Description Atomic Machines is building the Matter Compiler™, the first in a new class of AI-native, all-digital manufacturing systems that build working machines directly from code. The Matter Compiler (MC) is aimed at micro-machines: motors and gears the size of a grain of sand, robots small enough to work inside the body, cooling built directly into the chips that run AI, and the many devices like them that have been waiting on a way to build them. Its first product is PrimeSwitch™, an electromechanical power relay the size of a button battery that carries 150 amps continuous current and opens in 50 microseconds, about a thousand times faster than a conventional contactor. Founded by Jeff Holden — serial entrepreneur, ex-Amazon SVP and Uber's first Chief Product Officer — the company has raised $250 million to date. Atomic Machines is based in the San Francisco Bay Area, with offices in Emeryville and Santa Clara. About This Role: We are looking for a Supplier Quality Engineer to help develop and execute world-class supplier quality processes for a new class of manufacturing. The Matter Compiler™ platform is the first of its kind and introduces unique quality challenges that require strong fundamentals, systems thinking, and the ability to help build scalable processes from the ground up. This is a highly visible role that contributes directly to the success of Atomic Machine's vision. The successful candidate will bring a solid understanding of supplier quality principles and will work cross-functionally to support the supplier quality strategy. They will help establish and carry out robust supplier quality processes that ensure consistent product performance, manufacturability, regulatory compliance, and customer satisfaction throughout the supplier lifecycle. In this role, you will partner closely with engineering, manufacturing, supply chain, and external suppliers to identify and mitigate risk, drive continuous improvement, and enable rapid development while maintaining high quality standards. The ideal candidate is hands-on and detail-oriented, comfortable operating in a fast-paced, evolving environment, and motivated by the opportunity to help define quality for a new manufacturing paradigm. What You'll Do: • Own supplier quality for an assigned commodity or supplier portfolio, from qualification through volume production, in compliance with ISO 9001 and other relevant certifications., • Qualify new suppliers and parts: lead supplier assessments, first article inspection, and PPAP activities., • Perform on-site and remote supplier audits, document findings, and drive closure of corrective actions., • Develop and maintain incoming inspection plans, test requirements, and acceptance criteria for assigned parts., • Disposition non-conforming material and lead MRB activity for supplier-caused issues., • Lead structured problem-solving with suppliers (8D, RCA, FMEA, 5 Whys) and verify that corrective actions are sustained at the source., • Maintain supplier scorecards and quality KPIs (DPPM, yield, escapes, audit findings) and present trends in regular quality reviews., • Track recurring supplier issues, perform root cause analysis, and escalate systemic risks., • Close the loop between manufacturing and suppliers by feeding line-side defect data back into supplier corrective action., • Support customer quality concerns traceable to supplied material, including preparing RCCA content for customer presentations., • Partner with engineering on DFM and specification reviews to prevent quality issues before release; participate in design reviews for assigned components., • Collaborate with manufacturing, supply chain, and engineering to embed quality discipline in daily operations., • Contribute to continuous improvement of the supplier quality management system and internal audit program.What You'll Need:, • 3–6+ years in supplier quality, quality engineering, or a closely related role in a manufacturing environment., • Hands-on experience with supplier qualification, audits, incoming inspection, PPAP, and supplier scorecards, preferably in an ISO 9001 environment., • Working expertise in RCCA methodologies (FMEA, 8D, 5 Whys, fishbone/Ishikawa) and statistical tools for failure analysis, with a track record of corrective actions that stick., • Experience supporting products from NPI through volume manufacturing., • Familiarity with DFM principles and their impact on quality and yield., • Proficiency with PLM, MES, and ERP systems; comfortable pulling and analyzing quality data to drive decisions., • Ability to influence suppliers and cross-functional partners without direct authority., • Strong written and verbal communication skills, with attention to documentation quality and clear reporting of quality metrics., • Self-directed and resilient in ambiguous situations; able to make tangible progress amid change., • A first-principles mindset—questioning assumptions and solving problems from foundational understanding rather than precedent alone., • Bachelor's degree in Engineering, Physics, or a related technical field required. The compensation for this position also includes equity and benefits. Salary Range $165,000—$190,000 USD Atomic Machines is an equal opportunity employer that values diversity and does not discriminate based on characteristics protected by applicable law. We are committed to an inclusive interview experience, including for individuals with disabilities. To request an accommodation, contact rc@atomicmachines.com. To help our recruiting team manage application volume and respond to candidates more efficiently, Atomic Machines may use AI-assisted tools.

Job DescriptionJAVA Developer Santa Clara, CA (Onsite; hybrid is possible, but no remote work) Duties: • Identify business needs by establishing personal rapport with actual, potential, and internal clients, • Design, develop, and implement highly scalable client server programs in a cloud environment, • Identify appropriate microservice implementation and build cloud hosted services, • Recommend alternate approaches, analyze product design impact, and provide sizing estimates collaborate with other cross platform team members to build effective integrations, • Participate in design sessions and code reviews, • Work with business requirement partners to design, develop, and refine the graphical user experience of an application, • Confirm program operation by conducting unit, system, and integration tests; modifying program sequence and/or codes as necessary, • Prepare project related documentation, G.A.P. analysis, functional specifications, design specifications, • Complete development activities including reports, interfaces, conversions, improvements, and forms during different stages of a project, • Identify new technologies and solutions to improve existing infrastructure, • Work closely and build relationships with other teams and communicate with various platform service, • Develop tools and infrastructure to improve quality and efficiency of testing, • Reproduce and debug issues found during and after software release, • Build out distributed systems using big data open source programming tools, • Work with research teams and data scientists, finding bottlenecks to the design process and resolving them efficiently, • Lead software development projects, like automated malware analysis solution, • Interview, mentor, and coach new team members, • Learn and adapt to new programming languages and technologies on an as-needed basisSkills:, • Java, Python, and JavaScript development within team environments and large implementations, • Experience in Agile and/or Scrum environments for project planning and sprints, • Experience with developing Single Page Applications using React.js and Redux, • Experience with developing applications using Amazon Web Services (AWS), • Ability to handle multiple deliverables in a dynamic environment with similar timelines, • Deep understanding of integrated flows for customer support processes, • Comfortable accessing and manipulating various web and local data sources such as relational and NOSQL databases, RESTful API’s calls, • Experience debugging, logging, and tracking issues, • Knowledge of Java, Spring Boot, Node.js, React.js, Redux, Linux, MVC, MySQL, Visual Studio, GIT, WCF, WebAPI, Exress.js, Hapi.js, IIS, AWS, Jira, Confluence and others, • Product development experience with container technologies, • Familiar with malware sandbox environments or cybersecurity, • Experience with Python, Tomcat, JS, and DockerEducation: Bachelor’s degree in Computer Science, Information Technology, or a related field.

Job DescriptionAbout Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com. Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: • Business Insider named us an "enterprise startup to bet your career on", • Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world, • Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America, • Quartz ranked us the #1 best company for remote workersResponsibilities We're hiring a Director of Product Management to lead Workato's Platform, Security, and Enterprise Readiness strategy. This is a high-impact role focused on building the foundation that unlocks enterprise adoption at scale—from secure deployments and governance to compliance, observability, and global infrastructure. You will define how large, regulated, and global organizations confidently adopt Workato for mission-critical workloads. This role sits at the core of Workato's next phase of growth. You will unlock new enterprise and regulated markets by building platform capabilities that meet stringent security and compliance requirements. You will eliminate platform-level deal blockers that slow down or prevent large enterprise adoption. You will accelerate onboarding and time-to-value for customers adopting Workato at scale. You will enable customers to confidently run mission-critical workflows on the platform. In this role, you will also be responsible to: Identity, Access & Security You will define and scale authentication capabilities, including SAML, SCIM, 2FA, and domain management, to support enterprise identity standards. You will lead the evolution of authorization models, including RBAC 2.0 and fine-grained access controls across projects and shared assets. You will drive secure credential management through integrations with enterprise secrets and vault systems such as AWS, Azure, and HashiCorp. You will ensure strong platform security through encryption, data retention controls, and IAM-based access mechanisms. Enterprise Governance You will build governance models that enable centralized control across distributed teams using AHQ and multi-workspace management. You will define and enhance environment lifecycle management to support Dev, Test, and Prod workflows aligned with enterprise SDLC practices. You will deliver the Enterprise Command Center as a unified control plane for visibility, governance, and capacity planning across the platform. Ensure AI features ship with the same security posture as core platform capabilities Observability & Auditability You will define and scale platform observability, including centralized logging, audit trails, and debug trace capabilities. You will expand log streaming integrations to SIEM tools such as Splunk, Datadog, and cloud storage platforms. You will drive adoption of OpenTelemetry standards to enable enterprise-grade monitoring and tracing. You will enable API traffic monitoring and anomaly detection to strengthen platform security and operational visibility. Developer Platform & APIs You will expand developer APIs to enable programmatic management of workspaces, assets, and platform configurations. You will support enterprise CI/CD workflows through automation of deployments and environment management. You will define secure and scalable API access models with fine-grained permissions for enterprise use cases. Infrastructure & Deployment You will lead the strategy for private cloud deployments, including single-tenant environments within customer AWS networks. You will drive expansion into new data centers to meet data residency and sovereignty requirements. You will define and deliver cross-region backup and disaster recovery capabilities for enterprise resilience. You will ensure AI capabilities are available across regions to support global enterprise adoption. Compliance & Enterprise Expansion You will partner with compliance and security teams to support certifications such as SOC2, ISO, PCI, and HIPAA. You will translate compliance requirements into scalable product capabilities that reduce friction during enterprise onboarding. You will position compliance and security capabilities as strategic enablers for market expansion and deal acceleration. Customer Management and Deal Support Serve as the product leader in enterprise security reviews, Infosec questionnaires, architecture deep dives Influence customer and prospect CISOs, IT, Compliance and Security leaders at Enterprises procuring Workato platform RequirementsQualifications / Experience / Technical Skills You bring 10+ years of product management experience, with a strong focus on platform, security, or infrastructure products. You have experience building and scaling enterprise SaaS platforms used by large organizations. You have deep familiarity with identity and access systems, including SAML, SCIM, and RBAC models. You understand enterprise security, compliance frameworks, and governance requirements. You have experience with observability, logging, and audit systems in distributed platforms. You are comfortable working across engineering, security, infrastructure, compliance, and GTM teams. You can translate complex enterprise requirements into simple, scalable, and adoptable product experiences. You are familiar with SIEM tools and SOC workflows. You have built or managed developer platforms or platform APIs. You have experience supporting global SaaS deployments across multiple regions. Experience with taking products through FedRAMP certification is a plus (REQ ID: 2704)

Job DescriptionAbout Onehouse Onehouse is a mission-driven company dedicated to freeing data from data platform lock-in. We deliver the industry’s most interoperable data lakehouse through a cloud-native managed service built on Apache Hudi. Onehouse enables organizations to ingest data at scale with minute-level freshness, centrally store it, and make available to any downstream query engine and use case (from traditional analytics to real-time AI / ML). We are a team of self-driven, inspired, and seasoned builders that have created large-scale data systems and globally distributed platforms that sit at the heart of some of the largest enterprises out there including Uber, Snowflake, AWS, Linkedin, Confluent and many more. Riding off a fresh $35M Series B backed by Craft, Greylock and Addition Ventures, we're now at $68M total funding and looking for rising talent to grow with us and become future leaders of the team. Come help us build the world's best fully managed and self-optimizing data lake platform! The Community You Will Join When you join Onehouse, you're joining a team of passionate professionals tackling the deeply technical challenges of building a 2-sided engineering product. Our engineering team serves as the bridge between the worlds of open source and enterprise: contributing directly to and growing Apache Hudi (already used at scale by global enterprises like Uber, Amazon, ByteDance etc) and concurrently defining a new industry category - the transactional data lake. The Impact You Will Drive: • As an engineer on the Open Source team at Onehouse, you'll play a pivotal role in shaping and realizing the vision and roadmap for Apache Hudi, while also shaping the future of data lakehouse space., • Collaborate across multiple teams within Onehouse, serving as the vital bridge between the open-source Apache Hudi project and Onehouse's managed solution, ensuring seamless collaboration and integration., • Engage closely with community partners and contributors, serving as a steward of the Apache Hudi project, fostering collaboration and guiding its evolution., • Champion a culture of innovation, quality and timely execution, enabling the team to deliver on the vision of the next-generation data lakehouse., • Architect and implement solutions that scale to accommodate the rapid growth of our customer base, open source community and the ever-expanding demands of the datalake ecosystem at large.A Typical Day:, • Build, design and deliver features/improvements to Apache Hudi., • Ensure high quality and timely delivery of innovations and improvements in Apache Hudi., • Dive deep into the architectural details of data ingestion, data storage, data processing and data querying to ensure that Apache Hudi is built to be the most robust, scalable and interoperable data lakehouse., • Own discussions and work with open source partners/vendors to: troubleshoot issues with Hudi, ensure Hudi support in for compute engines like Pretso/Trino and act as the face of Hudi to the community at large via meetups, customer meetings, talks etc., • Partner with and mentor engineers on the team.What You Bring to the Table:, • 5-7+ years building large-scale data systems., • You embrace ambiguous/undefined problems with an ability to think abstractly and articulate technical challenges and solutions., • Positive attitude towards seeking solutions to hard problems, with a bias towards action and forward progress., • An ability to quickly prototype new directions, shape them into real projects and analyze large/complex data., • Strong, object-oriented design and coding skills with Java, preferably on a UNIX or Linux platform., • Experience with inner workings of distributed (multi-tiered) systems, algorithms, and relational databases., • Experience with large scale data compute engines / processing frameworks., • Experience building distributed and/or data storage systems or query engines., • An ability to prioritize across feature development and tech debt, balancing urgency and speed., • An ability to solve complex programming/optimization problems., • Robust and clear communication skills., • Nice to haves (but not required):, • Experience working with open source projects and communities., • Experience in optimization mathematics (linear programming, nonlinear optimization)., • Existing publications of optimizing large-scale data systems in top-tier distributed system conferences., • PhD or Masters degree in a related field with industry experience in solving and delivering high-impact optimization projects.How We'll Take Care of You -Competitive Compensation; the estimated base salary range for this role is $215,000 - $250,000-Equity Compensation; our success is your success with eligible participation in our company equity plan -Health & Well-being; we'll invest in your physical and mental well-being with up to 90% health coverage (50% for spouses/dependents) including comprehensive medical, dental & vision benefits -Financial Future; we'll invest in your financial well-being by making this role eligible to contribute to our company 401(k) or Roth 401(k) retirement plan -Location; we are a remote-friendly company (internationally distributed across N. America + India), though some roles will be subject to in-person requirements in alignment with the needs of the business -Generous Time Off; unlimited PTO (mandatory 1 week/year minimum), uncapped sick days and 11 paid company holidays -Company Camaraderie; Annual company offsites and Quarterly team onsites @Sunnyvale HQ -Food & Meal Allowance; weekly lunch stipend, in-office snacks/drinks -Equipment; we'll provide you with the equipment you need to be successful and a one-time $500 stipend for your initial desk setup -Child Bonding!; 8 weeks off for parents (birthing, non-birthing, adoptive, foster, child placement, new guardianship) - fully paid so you can focus your energy on your newest addition House ValuesOne TeamOptimize for the company, your team, self - in that order. We may fight long and hard in the trenches, take care of your co-workers with empathy. We give more than we take to build the one house, that everyone dreams of being part of. Tough & Persevering We are building our company in a very large, fast-growing but highly competitive space. Life will get tough sometimes. We take hardships in the stride, be positive, focus all energy on the path forward and develop a champion's mindset to overcome odds. Always day one! Keep Making It Better AlwaysRome was not built in a day; If we can get 1% better each day for one year, we'll end up thirty-seven times better. This means being organized, communicating promptly, taking even small tasks seriously, tracking all small ideas, and paying it forward. Think Big, Act FastWe have tremendous scope for innovation, but we will still be judged by impact over time. Big, bold ideas still need to be strategized against priorities, broken down, set in rapid motion, measure, refine, repeat. Great execution is what separates promising companies from proven unicorns. Be Customer ObsessedEveryone has the responsibility to drive towards the best experience for the customer, be an OSS user or a paid customer. If something is broken, own it, say something, do something; never ignore. Be the change that you want to see in the company. Pay Range Transparency Onehouse is committed to fair and equitable compensation practices. Our job titles may span more than one career level. The pay range(s) for this role is listed above and represents the base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are dependent upon several factors that are unique to each candidate, including but not limited to: job-related skills, depth of transferable experience, relevant certifications and training, business needs, market demands and specific work location. Based on the factors above, Onehouse utilizes the full width of the range; the base pay range is subject to change and may be modified in the future. The total compensation package for this position will also include eligibility for equity options and the benefits listed above. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview eTrigue is seeking an experienced and highly motivated Application Full Stack Developer to join our dynamic team in San Jose, CA. The ideal candidate will have extensive experience across multiple programming languages and frameworks, capable of owning both front-end and back-end development responsibilities. This is a challenging yet rewarding opportunity for a technologist who thrives in a collaborative, fast-paced environment and is passionate about building scalable, high-performance applications. This is a full-time, on-site position, and includes great benefits, healthcare, PTO, and matching 401k. Applicants must have a permanent working permit or be a U.S. Citizen. H1B sponsorship is not eligible for this role. The position is located on-site in San Jose, California. Please confirm you are able to work onsite. This is NOT a hybrid role. (Now that everything is cleared up). Responsibilities for Application Full Stack Developer role: • Design, develop, and maintain robust, scalable web applications utilizing a full-stack approach., • Create responsive, user-friendly front-end interfaces utilizing a technology stack including CSS, Bootstrap, JavaScript, jQuery, and Vue.js., • Implement and manage back-end services and APIs using a mix of PHP, Java, and Python., • Collaborate with product managers, designers, and other engineers to define feature specifications and deliver high-quality products., • Write clean, well-documented, and testable code., • Troubleshoot, debug, and upgrade existing systems., • Optimize application for maximum speed and scalability., • Participate in code reviews to ensure adherence to coding standards and best practices.Qualifications Required Experience for Application Full Stack Developer role: • 5+ years of professional experience in Full Stack Development of a SaaS product., • Intensive experience with modern JavaScript (ES6+)., • Deep expertise in front-end development using Vue.js., • Expertise in server-side development using PHP, Python, Java Spring, and the Spring Boot framework., • Proven experience with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MS SQL)., • Experience designing and consuming RESTful APIs., • Demonstrated proficiency in working with AI models and developing effective prompts., • Familiarity with version control systems, particularly Git., • Proficient in the development lifecycle, specifically utilizing Jira and Confluence., • Excellent problem-solving skills and attention to detail, detail, detail., • AWS Cloud certification is a plus (Solutions Architect, Developer, or SysOps Administrator)., • Experience with containerization technologies (Docker, Kubernetes)., • Familiarity with CI/CD pipelines and DevOps practices., • Experience with testing frameworks (e.g., Jest, Mocha, JUnit, pytest). Preferred Qualifications, • AWS Cloud certification is a plus (Solutions Architect, Developer, or SysOps Administrator)., • Experience with containerization technologies (Docker, Kubernetes)., • Familiarity with CI/CD pipelines and DevOps practices., • Experience with testing frameworks (e.g., Jest, Mocha, JUnit, pytest)., • Experience with AI/LLM concepts, integration, test and deployments, • Anthropic Claude Sonet, Amazon Nova, GPT frameworksNext steps, • Complete the application process, tell us about yourself, and submit your application including links to your GitHub/repository, LinkedIn, and/or code sample portfolio., • Confirm you are able to work on-site at our San Jose, CA location., • We will review, reach out with questions, and setup interviews/screening for qualified applicants that meet our criteria for this role., • We look to add to our team within the next 90 days., • We respect your time and efforts and appreciate your interest in joining our team., • Please respect our time, and ensure you meet ALL qualifications for this role. This is NOT a remote or hybrid role., • We look forward to hearing from you. Powered by JazzHR B16oXMhERT

Job DescriptionAbout Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com. Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: • Business Insider named us an "enterprise startup to bet your career on", • Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world, • Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America, • Quartz ranked us the #1 best company for remote workersResponsibilities You'll lead Analytics Engineering and Product Analytics at Workato. Your team will help us understand how enterprises adopt AI and orchestration, where promising projects stall, and what changes when customers expand from one successful deployment to many. You'll work directly with Product leadership, guide the engineers who make usage data reliable, and develop the analysts who turn that data into decisions and original industry research. What you'll ownData strategy and delivery • Set the strategy, roadmap, priorities, and capacity plan for both teams. Balance investments in shared data foundations with time-sensitive product decisions and investigations the team initiates., • Define who owns product instrumentation, pipelines, datasets, metrics, and analysis. Agree with Product and Engineering on handoffs and who makes technical and analytical decisions., • Turn major requests into scoped initiatives with owners, milestones, and success criteria. Resolve dependencies across Product, Engineering, Infrastructure, and Security. Bring progress, risks, and resource trade-offs to leadership early enough to act.People and organization, • Own hiring, onboarding, performance management, and workforce planning. Identify the skills and leadership capacity the organization needs as Workato's portfolio grows., • Set clear expectations and career paths for managers, analytics engineers, and product analysts. Give engineers ownership of architecture and reliability. Coach analysts to frame a question, challenge an assumption, and defend a recommendation with evidence.Analytics engineering and the data platform, • Lead the engineering work to collect, model, transform, and curate product usage data. Deliver analytics-ready datasets that connect builder activity, workspaces, customer accounts, deployments, and production workloads., • Partner with senior engineers on architecture, orchestration, and tooling. Weigh scalability, maintainability, cost, and delivery speed when deciding whether to extend a data model, build a pipeline, or change the platform., • Establish standards for automated testing, CI/CD, documentation, lineage, and pipeline monitoring. Give critical datasets an owner and a way to detect stale, missing, or incorrect data before it affects a decision.Product analytics and experimentation, • Bring analysts into roadmap discussions while options are open. Understand the choices a product leader faces, test competing explanations, and identify what evidence would change the recommendation., • Define measurement during feature planning. Agree with PMs and engineers on the intended customer outcome, what telemetry to capture, who will implement it, and how to validate it before launch. Review the results after release., • Measure activation, engagement, retention, and expansion. Show whether growth comes from more customers reaching production, more business processes per customer, or greater volume in existing workloads. Each finding points to a different product decision., • Lead experiment design and interpretation. Define hypotheses, success metrics, and guardrails. Use funnels, cohorts, A/B tests, and holdouts where appropriate. Explain what the team can conclude when enterprise sample sizes are small., • Match the analysis to the stage of the product. Identify early signs of customer value for new offerings. Forecast adoption and growth for established products. Recommend where to invest, what to change, and when to measure again.Metrics, self-service, and AI-assisted analytics, • Publish a shared catalog of product and business metrics. Document each metric's definition, calculation, source, and owner. Verify that the data platform, dashboards, and reports implement it consistently., • Give analysts and business teams governed datasets and reusable tools for reporting, experimentation, and advanced analysis. Make recurring questions easy to answer without a new engineering request., • Develop AI-assisted analytics that can monitor metrics, investigate changes, and explain findings. Ensure answers respect access permissions and let users verify the source and calculation.Data culture and industry research, • Establish regular reviews where Product, Sales, and Customer Success discuss a usage pattern, decide what to do, and return to see whether it worked. Help field teams use those findings to address adoption barriers and identify expansion opportunities., • Lead original research for the Workato Automation Index and industry briefings. Use aggregated usage data to examine which processes enterprises automate, who builds them, and where AI is moving into production. Test emerging trends against customer and market evidence, then partner with Marketing and Analyst Relations to publish findings the industry can use.RequirementsWhat you bring, • 10+ years in analytics, data science, or a related quantitative field, including experience leading senior practitioners, developing managers, and scaling teams., • Data engineering and modeling expertise. You can review SQL and architecture decisions and guide teams working with cloud warehouses, transformation frameworks, and orchestration tools such as Snowflake and dbt., • Data cataloging and governance experience. You've used Atlan or comparable tools to document ownership and lineage, govern access, and make trusted datasets discoverable., • B2B product and analytical judgment. You know how to use behavioral analysis, forecasting, experimentation, and causal inference to guide a decision. You can explain a decision your team changed and what happened afterward., • Cross-functional leadership. You've delivered work where teams share ownership of data and infrastructure. You can resolve dependencies, negotiate priorities, and explain trade-offs to engineers and executives., • Practical AI fluency. You use AI to investigate questions and verify findings. Experience building analytics agents or governed self-service data products is a plus.What success looks like, • Priority launches ship with validated telemetry. In post-launch reviews, PMs can show who reached the intended outcome, where adoption stalled, and what they will change., • Product and field teams can answer recurring questions from shared datasets. They spend less time reconciling definitions or waiting for custom queries., • Engineers own reliable data assets. Analysts spend more time investigating behavior and testing hypotheses. Both teams have clear priorities, career paths, and a leader who resolves cross-functional trade-offs., • Product leaders seek the team's perspective before committing to investments. Sales and Customer Success use its findings in customer conversations. Workato publishes original research that helps customers, partners, and analysts understand how enterprise AI and automation are evolving. (REQ ID: 2538)

Job Description Atomic Machines is building the Matter Compiler™, the first in a new class of AI-native, all-digital manufacturing systems that build working machines directly from code. The Matter Compiler (MC) is aimed at micro-machines: motors and gears the size of a grain of sand, robots small enough to work inside the body, cooling built directly into the chips that run AI, and the many devices like them that have been waiting on a way to build them. Its first product is PrimeSwitch™, an electromechanical power relay the size of a button battery that carries 150 amps continuous current and opens in 50 microseconds, about a thousand times faster than a conventional contactor. Founded by Jeff Holden — serial entrepreneur, ex-Amazon SVP and Uber's first Chief Product Officer — the company has raised $250 million to date. Atomic Machines is based in the San Francisco Bay Area, with offices in Emeryville and Santa Clara. Why This Role Matters CAM connects geometric intent with physical processes. You'll build the software infrastructure that lets process experts express where an operation acts, what effect it should produce, and which constraints it must satisfy. The challenge is to turn that knowledge into reusable representations, algorithms and interfaces. These must extend beyond familiar etching or 3D-printing workflows to support different ways of shaping, treating and assembling materials. Success means new processes can build on shared geometric capabilities while preserving the assumptions and behavior that make each process distinct. You'll bring strong software engineering and deep interest in geometric reasoning, working with experts who bring the physics and process knowledge. AI fluency is central: use agents throughout development while owning the decisions, code and results you accept. What You'll Do • Build and evolve Go and Python software infrastructure for representing geometric intent and generating physical-process operations., • Develop reusable geometric representations and algorithms for shapes, regions, coordinate frames, spatial relationships, and process planning., • Work with process experts to turn their knowledge into explicit models, constraints, interfaces, and acceptance criteria, including effects that vary over space or time., • Extend shared capabilities to new processes; keep process-specific behavior explicit and integrate with machine software and fab coordination., • Test geometric and software correctness, make generated results reproducible, and validate assumptions with experts and physical measurements., • Use AI throughout investigation, design, implementation, testing, and documentation; inspect changes and verify results.What You'll Need, • Production software ownership, typically 8+ years for the senior target; productive Python and strong in Go or C++, with readiness to work in Go. Level is based on demonstrated scope and ability., • Experience in, or a demonstrated deep interest in, geometric reasoning: representing shapes and spatial relationships, choosing useful abstractions, and reasoning about their limits., • Evidence of designing reusable software infrastructure, simplifying complexity, and testing and safely evolving systems with clear interfaces., • Strong AI fluency: provide context, challenge proposals, inspect code and meaningfully test accepted work., • Ability to work with domain experts, make assumptions explicit, and turn their knowledge into testable software behavior., • Care with units, coordinate frames, tolerances and approximation; willingness to learn unfamiliar physical processes and work directly with fab equipment., • BS in CS or a related field, or equivalent practical experience. The compensation for this position also includes equity and benefits. Salary Range $185,000—$220,000 USD Atomic Machines is an equal opportunity employer that values diversity and does not discriminate based on characteristics protected by applicable law. We are committed to an inclusive interview experience, including for individuals with disabilities. To request an accommodation, contact rc@atomicmachines.com. To help our recruiting team manage application volume and respond to candidates more efficiently, Atomic Machines may use AI-assisted tools.

Job Description FloQast is looking for a motivated Software Engineer that will play a key contributor role in shipping high impact features. This individual will help identify product and engineering opportunities that will delight our customers and build solutions that exceed their quality expectations. The right candidate should have a track record of building, testing, deploying, and soliciting feedback from stakeholders in a pre product-market fit or fast paced startup environment. You will work closely with your team, sales, and our customers to define, prioritize, and build new features. FloQast is headquartered in Los Angeles & San Jose, CA and we are seeking US-based Hybrid Engineers. What You'll Do • Build high quality, user focused experiences from the ground up with React, NodeJS, and MongoDB, • Leverage Amazon Web Services (AWS) such as S3, Lambda, and Step Functions to get features to market quickly and efficiently, • Collaborate on our technical vision. Participate or lead discussions and implementation on multiple complex projects, • Continuously act on our customers’ product feedback, data, and growth needs to epitomize an agile environment by always working on the most important things, • Continuously improve our engineering process, tools, and systems to increase the team's ability to do more with less, • Fully own or pair on vertically sliced features through the full SDLC including code review, deployments, and production support of our applications and external APIWhat You'll Bring, • 7+ years of professional full stack experience at 1 or more referenceable companies doing web app development, RESTful API design, or data modeling, • Proficiency in JavaScript and React, NodeJS, or MongoDB. Being able to think and develop in their patterns and practices. The more the better, • Strong experience with tools like Snowflake, • Track record of shipping high-quality products and features to customers, and developing projects at scale, • Ability to quickly turn business and product ideas into engineering solutions, • Motivated by taking a product to market, solving customer problems, and mastering your craft through the growth of the businessNice to haves, • Have taken a product from 0 to 1, • B2B SaaS experience, • Practice TDD, BDD, or use of code coverage #LI-JR1 This job posting is for our Senior Software Engineer level, the base pay range for this position is $144,000 - $216,000. Compensation is not limited to base salary. FloQast values our Total Rewards, and offers a competitive and elaborate Benefits Package including, but not limited to, Medical, Dental, Vision, Family Forming benefits, Life & Disability Insurance, Unlimited Vacation, and participation in our Employee Stock Program. FloQast reserves the right to amend, change, alter, and revise pay ranges and benefits offerings at any time. All applicants acknowledge that by applying to this position you understand that this specific pay range is contingent upon meeting the qualifications and requirements of the role, and for the successful completion of the interview selection and process. It is at the Company's discretion to determine what pay is provided to a candidate within the range associated with the role. About FloQast: FloQast is the leading AI-powered Accounting Transformation Platform, uniquely built by former accountants for accountants. We automate complex, recurring accounting workflows—transforming preparers into strategic reviewers and relieving accountants from tedious manual work. Our cloud-based solution is trusted by over 3,500 world-class accounting teams, including Lululemon, Doordash, and the MLB, to drive collaboration and financial accuracy. Driven by a mission to continuously elevate the profession, FloQast is redefining both the practice and the perception of accounting on a global scale. Our values act as a guiding compass, shaping every decision we make, and are non-negotiable, particularly in our hiring process. Alongside our employees, partners, and customers, we embody these values every day: Unwaveringly Authentic Ambitious with IntegrityEmpowered to GrowCommitted to CollaborationCustomer Obsessed in All Ways Here’s Why You Should Apply • What is engineering working on? Our FQ Engineering Blog showcases a number of our recent efforts straight from the engineers working on them. Check it out! FloQast is regularly rated as a Best Place to Work! - Inc. Magazine’s Best Workplaces in 2025, 2024, 2023, 2022, and 2021 - Best Places to Work by LA Business Journal since 2017 (that’s 9 years!) - Built In’s Best Place to Work in Los Angeles 7 years in a row! Because we are Customer Obsessed in All Ways, check out what our customers have to say about FloQast on G2 Crowd. If this aligns closely with what you are looking for, hit “Apply” and come join our growing team! FloQast, Inc is committed to operating fair and unbiased recruitment procedures allowing all applicants an equal opportunity for employment, free from discrimination on the basis of religion, race, sex, age, sexual orientation, disability, color, ethnic or national origin, or any other classification as may be protected by applicable law. We aim to recruit the right people for the jobs we have to offer, and to assess applications on the basis of relevant skills, education, and experience. We welcome people of different backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer and strive to provide a professional and welcoming workplace for all employees. Link to FloQast Recruiting AI Usage Policy We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionCompany Overview IDMe is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with IDMe once and seamlessly login across websites without having to create a new login and verify their identity again. Over 175 million users experience streamlined login and identity verification with IDMe at 22 federal agencies, 50 state government agencies, and more than 100 healthcare organizations. Over 600 consumer brands use IDMe to verify communities and user segments to honor service and build more authentic relationships. IDMe's technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. IDMe is committed to "No Identity Left Behind" to enable all people to have a secure digital identity. To learn more, visit https://network.id.me/. IDMe is a full-time, in-office culture. Unless a specific job description explicitly states otherwise, all roles are on-site five days per week at one of our offices in McLean, VA; Mountain View, CA; New York City, NY; or Tampa, FL. Certain roles — such as field-based sales or other remote-by-design positions — may have different work arrangements as noted in their individual postings. At IDMe, we embrace the thoughtful use of AI tools in our daily work and there are even occasions where we leverage AI in our hiring process. However, during the interview process, we want to understand your individual skills and experiences. Therefore, we have guidelines on how AI can be appropriately used during your application and interviews which can be found here. Role Overview We are looking for a Principal Software Engineer (SDE6), Data to join our Core Platform Engineering organization and spearhead the architectural evolution of ID.me's data ecosystem. As ID.me scales as an API-first platform company, we need a high-agency technical leader who can immediately step in, rapidly synthesize our current landscape—across business objectives, technical realities, and system architecture—and define and drive a pragmatic, multi-phase evolution plan for our data platform and data architecture. In this pivotal role, you will serve as the primary technical strategist and hands-on architectural driver for the Data side of ID.me's platform transformation. You will assess existing relational, event-driven, and graph-based data systems, identify critical bottlenecks and strategic opportunities, and chart a clear path from our current state to a resilient, scalable, cloud-native target architecture. Rather than operating in an ivory tower, you will lead from the front—partnering closely with executive leadership, product, security, compliance, and application engineering teams to align technical execution with high-priority business outcomes across identity verification, fraud prevention, analytics, and AI/ML enablement. This role is based out of our Mountain View, CA or McLean, VA office and requires full-time in-office attendance. Responsibilities • Assess & Synthesize Current State: Rapidly build a deep understanding of ID.me's existing data landscape, technical debt, operational bottlenecks, and business priorities across relational databases (PostgreSQL/AlloyDB/CloudSQL), graph systems, event streaming, and core data APIs., • Define & Drive the Data Evolution Plan: Author and own the end-to-end architectural roadmap for ID.me's data ecosystem—defining clear, incremental milestones that safely evolve legacy patterns into modern, scalable, API-first and event-driven data architectures while continuously delivering business value., • Architect Foundational Data Systems: Lead the technical design and implementation of core data platform capabilities, including foundational data APIs, event-driven architectures (Pub/Sub, streaming pipelines), graph data models, encryption/data protection services, and automated data lifecycle/retention systems., • Bridge Business Objectives & Technical Strategy: Partner directly with executive leadership, product management, and domain architects (such as Authentication and Identity) to translate strategic business goals and regulatory mandates into cohesive, future-proof data architectures and data contracts., • Establish Data Modeling & Governance Guardrails: Define organization-wide standards, paved paths, and self-service tooling for logical and physical data modeling (across relational and graph systems), schema hygiene, metadata management, data lineage, and access patterns., • Embed Security, Privacy & Compliance by Design: Partner with Security and Compliance teams to ensure data storage, encryption, retention, and access architectures rigorously satisfy regulatory standards (e.g., FedRAMP, NIST 800-63, GDPR) with built-in auditability., • Hands-On Technical Leadership: Dive into critical codebases, build foundational prototypes, lead architectural reviews, and work side-by-side with engineering teams to unblock complex migrations, optimize database and query performance at scale, and resolve high-severity architectural challenges., • Influence & Elevate Engineering Culture: Mentor Staff and Senior engineers across the organization, evangelize modern data ownership and stewardship practices, and align cross-functional teams around a unified data vision.Basic Qualifications, • Bachelor's or Graduate degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience)., • 10+ years of hands-on experience in software engineering, distributed systems, and data architecture at a large-scale SaaS, fintech, identity, or platform company., • Demonstrated track record of stepping into complex, brownfield engineering environments, rapidly diagnosing architectural and business challenges, and defining and executing multi-quarter technical transformation roadmaps., • Deep expertise in designing, building, and evolving large-scale data architectures spanning relational databases (e.g., PostgreSQL), distributed event-driven systems, and graph or NoSQL data stores., • Strong proficiency in one or more modern backend programming languages (e.g., Go, Java, Python, Ruby, or Rust) and advanced SQL.Preferred Qualifications, • Proven ability to act as a force multiplier across an engineering organization—driving alignment among executives, product leaders, and engineers to turn ambiguous, company-wide problems into actionable execution plans., • Hands-on experience leading large-scale data migrations, decomposing monolithic databases, and establishing API-first data boundaries and data contracts without disrupting mission-critical production traffic., • Deep expertise with both relational database internals/scaling (e.g., PostgreSQL, AlloyDB, CloudSQL) and graph database architectures (e.g., Neo4j, Amazon Neptune, or similar) for relationship-driven identity and fraud use cases., • Experience architecting event-driven data platforms and real-time streaming pipelines (e.g., Google Pub/Sub, Kafka, Dataflow, Temporal) on major cloud providers (GCP or AWS)., • Experience designing automated data governance, data retention, and privacy/encryption frameworks in highly regulated environments (e.g., FedRAMP, NIST, SOC2, GDPR)., • Fluency with AI-assisted engineering workflows and experience designing data architectures that power AI/ML and analytical platforms., • Exceptional written and verbal communication skills, with a natural ability to distill complex architectural trade-offs into clear strategic narratives for both technical and executive audiences. The annual base salary listed does not include a company bonus, incentive for sales roles, equity and benefits which will be determined based on experience, skills, education, relevant training, geographic location and role. IDMe offers comprehensive medical, dental, vision, health savings account, flexible spending accounts (medical, limited purpose, dependent care, commuter benefit accounts), basic and voluntary life and AD&D insurance, 401(k) with company match, parental leave, ability to participate in unlimited paid time off subject to the terms and conditions of the PTO policy, including 8 company wide holidays, short and long-term disability insurance, accident and critical illness insurance, referral bonus policy, employee assistance program, pet insurance, travel assistant program, wellbeing and childcare discounts, benefit advocates, and a learning and development benefit. Final offers may vary from the amount listed based on qualifications, professional experiences, skills, education, relevant training, geographic location, and other job related factors. U.S. Pay Range $209,000—$275,000 USD Mountain View, CA Pay Range $226,000—$296,000 USD IDMe maintains a work environment free from discrimination, where employees are treated with dignity and respect. All IDMe employees share in the responsibility for fulfilling our commitment to equal employment opportunity. IDMe does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. IDMe adheres to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, IDMe's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request we will provide you with more information about such accommodations. Please review our Privacy Policy, including our CCPA policy, at id.me/privacy. If you provide IDMe with any personally identifiable information you confirm that you have read and agree to be bound by the terms and conditions set out in our Privacy Policy. IDMe participates in E-Verify.

Job Description Job Title: AWS Architect Location: Santa Clara, CA Duration: Long Term Rate: $75 - 80/hr on C2C Job Title: AWS Architect Job Summary We are seeking an experienced AWS Architect to design, build, and optimize scalable, secure, and cost-effective cloud solutions on Amazon Web Services. The ideal candidate will have strong experience in cloud architecture, infrastructure modernization, application migration, DevOps practices, security, and enterprise cloud governance. This role will work closely with business stakeholders, application teams, infrastructure teams, security teams, and delivery partners to define cloud strategy and deliver high-quality AWS solutions. Key Responsibilities Design and implement AWS cloud architectures aligned with business, security, scalability, and performance requirements. Lead cloud migration, modernization, and transformation initiatives from on-premises or other cloud platforms to AWS. Define end-to-end solution architecture covering compute, storage, networking, database, security, monitoring, backup, disaster recovery, and automation. Develop architecture patterns, reference models, landing zones, and reusable cloud templates. Work with application teams to modernize workloads using AWS services such as EC2, S3, RDS, Lambda, ECS/EKS, API Gateway, CloudFormation, CloudWatch, IAM, VPC, Route 53, and related services. Establish cloud governance, security controls, access management, compliance, tagging, cost optimization, and operational best practices. Collaborate with DevOps teams to enable CI/CD, infrastructure as code, automated deployments, and environment provisioning. Assess existing applications and infrastructure to recommend cloud migration strategies such as rehost, replatform, refactor, retire, or retain. Ensure high availability, resilience, disaster recovery, and performance optimization across AWS environments. Provide technical leadership, guidance, and architecture reviews for project teams. Partner with business and technology stakeholders to translate requirements into practical cloud solutions. Create architecture documentation, design diagrams, migration plans, runbooks, and operational handover materials. Stay current with AWS services, cloud-native technologies, industry trends, and best practices. Required Skills and Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or related field. 8 years of IT experience, with at least 4 years of hands-on AWS architecture experience. Strong knowledge of AWS cloud services including compute, storage, networking, databases, security, monitoring, and automation. Experience designing secure and scalable AWS environments using VPC, IAM, security groups, KMS, CloudTrail, CloudWatch, AWS Config, and related services. Hands-on experience with infrastructure as code tools such as Terraform, AWS CloudFormation, or AWS CDK. Experience with application migration and modernization on AWS. Strong understanding of networking concepts including DNS, VPN, Direct Connect, load balancing, routing, firewalls, and subnet design. Experience with container platforms such as Amazon ECS, EKS, or Kubernetes. Knowledge of DevOps tools and CI/CD pipelines such as GitHub Actions, Jenkins, GitLab, AWS CodePipeline, or similar platforms. Experience with monitoring, logging, backup, disaster recovery, and cost optimization practices. Strong communication skills with the ability to explain technical solutions to both technical and non-technical stakeholders. Ability to work independently and lead architecture discussions across multiple teams. Preferred Qualifications AWS Certified Solutions Architect Professional or Associate certification. Experience with enterprise landing zone design and multi-account AWS environments. Experience with data platforms, analytics, AI/ML, or Databricks on AWS. Experience in regulated industries such as healthcare, life sciences, financial services, or manufacturing. Knowledge of security and compliance frameworks such as HIPAA, SOC 2, ISO 27001, PCI-DSS, or GDPR. Experience with serverless architecture, microservices, API-led integration, and cloud-native application design.

Job DescriptionAbout Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com. Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: • Business Insider named us an "enterprise startup to bet your career on", • Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world, • Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America, • Quartz ranked us the #1 best company for remote workersResponsibilities As Staff Product Manager for AI-Powered Developer Experience, you will own the customer-facing authoring, testing and debugging experiences that technical and business users rely on to build sophisticated automations in Workato. You will make complex enterprise orchestration easier to create, understand, test and troubleshoot - while introducing AI-powered assistance that accelerates development without sacrificing control, transparency or reliability. • Enable Advanced Integration Patterns, • Support complex enterprise patterns including scatter-gather and asynchronous processing, • Build capabilities for multiple trigger configurations and conditional routing, • Deepen debugging capabilities such as mid-job reruns and viewing logs in loops, • Ensure the platform can handle sophisticated error handling and compensation patterns, • Drive innovation in how users visualize and manage complex workflow orchestrationsLeadership in Builder Experience Innovation, • Develop and execute the product strategy for comprehensive authoring experiences across the entire automation lifecycle, • Define and prioritize the roadmap for next-generation builder capabilities including AI-powered copilot features, advanced debugging tools, and intelligent assistance, • Champion user-centric design principles to ensure the builder experience delights users at every skill level, • Drive adoption of advanced integration patterns including multiple triggers, scatter-gather, and promise-based architecturesDrive AI-Powered Development Assistance, • Integrate AI copilot capabilities to accelerate automation development through intelligent code suggestions and pattern recognition, • Build smart error detection and resolution features that guide users to successful implementations, • Leverage machine learning to provide contextual help and recommendations based on user behavior and common patterns, • Partner with AI research teams to infuse intelligence throughout the authoring experienceBuild Comprehensive Development Tools, • Own the macro-view experience for managing multiple assets working together, ensuring seamless collaboration and reusability, • Deliver micro-view capabilities for deep debugging of individual steps, loops, and data transformations, • Implement robust design-time testing capabilities that reduce errors before deployment, • Create sophisticated undo/redo mechanisms, draft management, and autosave features that protect user workLead Cross-Functional Execution, • Collaborate closely with engineering, UX, and architecture teams to deliver seamless builder experiences, • Partner with Platform Experience PM to ensure consistency across the platform, • Work with customer success and support teams to understand pain points and iterate on solutions, • Act as the voice of the builder, advocating for developer and business user needs across the organizationRequirementsLeadership & Product Management, • 8+ years of product management experience in SaaS or B2B environments, with focus on developer tools or low-code/no-code platforms, • Proven success in shipping complex authoring experiences that balance simplicity with power, • Strong track record of improving developer productivity metrics and user satisfaction scores, • Experience leading cross-functional initiatives that require deep technical understanding and user empathyBuilder & Developer Tools Expertise, • Deep expertise in IDE design, code editors, visual programming interfaces, and debugging tools, • Strong understanding of both low-code/no-code paradigms and traditional development workflows, • Experience with modern development practices including version control, CI/CD, and collaborative development, • Hands-on experience with automation platforms, iPaaS solutions (Zapier, Make, Mulesoft, Boomi), or workflow builders, • Familiarity with AI-assisted development tools and copilot technologiesTechnical Foundation, • Strong technical background with ability to understand complex integration patterns and distributed systems, • Experience with API design, data transformation, and enterprise integration patterns, • Understanding of performance optimization, scalability challenges, and enterprise-grade requirements, • Ability to work closely with engineering teams on technical architecture decisionsAI & Intelligent Automation, • Experience integrating AI/ML capabilities into development tools to enhance productivity, • Understanding of natural language processing for intent recognition and code generation, • Familiarity with predictive analytics for error prevention and performance optimization, • Vision for how AI can transform the development experience without sacrificing controlCustomer-Centric Execution, • Ability to deeply understand the needs of diverse user personas from citizen developers to enterprise architects, • Proven ability to translate complex technical concepts into intuitive user experiences, • Track record of using data, user research, and feedback to drive product decisions, • Experience balancing the needs of technical and non-technical users in a single platformAnalytical & Data-Driven Decision Making, • Strong ability to define and track metrics that matter for developer productivity and satisfaction, • Experience with A/B testing, feature experimentation, and iterative improvement, • Ability to analyze usage patterns to identify opportunities for simplification and automation, • Data-driven approach to prioritization and roadmap planningEducational Background, • Bachelor's Degree in Computer Science, Engineering, Human-Computer Interaction, or a related field, • An advanced degree is a plus but not required Job Req #2285

Job DescriptionAbout Onehouse Onehouse is a mission-driven company dedicated to freeing data from data platform lock-in. We deliver the industry’s most interoperable data lakehouse through a cloud-native managed service built on Apache Hudi. Onehouse enables organizations to ingest data at scale with minute-level freshness, centrally store it, and make available to any downstream query engine and use case (from traditional analytics to real-time AI / ML). We are a team of self-driven, inspired, and seasoned builders that have created large-scale data systems and globally distributed platforms that sit at the heart of some of the largest enterprises out there including Uber, Snowflake, AWS, Linkedin, Confluent and many more. Riding off a fresh $35M Series B backed by Craft, Greylock and Addition Ventures, we're now at $68M total funding and looking for rising talent to grow with us and become future leaders of the team. Come help us build the world's best fully managed and self-optimizing data lake platform! The Community You Will Join When you join Onehouse, you're joining a team of passionate professionals tackling the deeply technical challenges of building a 2-sided engineering product. Our engineering team serves as the bridge between the worlds of open source and enterprise: contributing directly to and growing Apache Hudi (already used at scale by global enterprises like Uber, Amazon, ByteDance etc) and concurrently defining a new industry category - the transactional data lake. The Impact You Will Drive: • As a technical lead on the Open Source team at Onehouse, you'll play a pivotal role in shaping and realizing the vision and roadmap for Apache Hudi, while also shaping the future of data lakehouse space., • Collaborate across multiple teams within Onehouse, serving as the vital bridge between the open-source Apache Hudi project and Onehouse's managed solution, ensuring seamless collaboration and integration., • Engage closely with community partners and contributors, serving as a steward of the Apache Hudi project, fostering collaboration and guiding its evolution., • Champion a culture of innovation, quality and timely execution, enabling the team to deliver on the vision of the next-generation data lakehouse., • Architect and implement solutions that scale to accommodate the rapid growth of our customer base, open source community and the ever-expanding demands of the datalake ecosystem at large.A Typical Day:, • Lead the team building Apache Hudi to design and deliver features/improvements., • Ensure high quality and timely delivery of innovations and improvements in Apache Hudi., • Dive deep into the architectural details of data ingestion, data storage, data processing and data querying to ensure that Apache Hudi is built to be the most robust, scalable and interoperable data lakehouse., • Own discussions and work with open source partners/vendors to: troubleshoot issues with Hudi, ensure Hudi support in for compute engines like Pretso/Trino and act as the face of Hudi to the community at large via meetups, customer meetings, talks etc., • Partner with and mentor engineers on the team.What You Bring to the Table:, • 10+ years building large-scale data systems., • 3+ years experience leading teams and working with others to deliver on team goals., • You embrace ambiguous/undefined problems with an ability to think abstractly and articulate technical challenges and solutions., • Positive attitude towards seeking solutions to hard problems, with a bias towards action and forward progress., • An ability to quickly prototype new directions, shape them into real projects and analyze large/complex data., • Strong, object-oriented design and coding skills with Java, preferably on a UNIX or Linux platform., • Experience with inner workings of distributed (multi-tiered) systems, algorithms, and relational databases., • Experience with large scale data compute engines / processing frameworks., • Experience building distributed and/or data storage systems or query engines., • An ability to prioritize across feature development and tech debt, balancing urgency and speed., • An ability to solve complex programming/optimization problems., • Robust and clear communication skills., • Nice to haves (but not required):, • Experience working with open source projects and communities., • Experience in optimization mathematics (linear programming, nonlinear optimization)., • Existing publications of optimizing large-scale data systems in top-tier distributed system conferences., • PhD or Masters degree in a related field with industry experience in solving and delivering high-impact optimization projects.How We'll Take Care of You -Competitive Compensation; the estimated base salary range for this role is $230,000 - $250,000 -Equity Compensation; our success is your success with eligible participation in our company equity plan -Health & Well-being; we'll invest in your physical and mental well-being with up to 90% health coverage (50% for spouses/dependents) including comprehensive medical, dental & vision benefits -Financial Future; we'll invest in your financial well-being by making this role eligible to contribute to our company 401(k) or Roth 401(k) retirement plan -Location; we are a remote-friendly company (internationally distributed across N. America + India), though some roles will be subject to in-person requirements in alignment with the needs of the business -Generous Time Off; unlimited PTO (mandatory 1 week/year minimum), uncapped sick days and 11 paid company holidays -Company Camaraderie; Annual company offsites and Quarterly team onsites @Sunnyvale HQ -Food & Meal Allowance; weekly lunch stipend, in-office snacks/drinks -Equipment; we'll provide you with the equipment you need to be successful and a one-time $500 stipend for your initial desk setup -Child Bonding!; 8 weeks off for parents (birthing, non-birthing, adoptive, foster, child placement, new guardianship) - fully paid so you can focus your energy on your newest addition House ValuesOne TeamOptimize for the company, your team, self - in that order. We may fight long and hard in the trenches, take care of your co-workers with empathy. We give more than we take to build the one house, that everyone dreams of being part of. Tough & Persevering We are building our company in a very large, fast-growing but highly competitive space. Life will get tough sometimes. We take hardships in the stride, be positive, focus all energy on the path forward and develop a champion's mindset to overcome odds. Always day one! Keep Making It Better AlwaysRome was not built in a day; If we can get 1% better each day for one year, we'll end up thirty-seven times better. This means being organized, communicating promptly, taking even small tasks seriously, tracking all small ideas, and paying it forward. Think Big, Act FastWe have tremendous scope for innovation, but we will still be judged by impact over time. Big, bold ideas still need to be strategized against priorities, broken down, set in rapid motion, measure, refine, repeat. Great execution is what separates promising companies from proven unicorns. Be Customer ObsessedEveryone has the responsibility to drive towards the best experience for the customer, be an OSS user or a paid customer. If something is broken, own it, say something, do something; never ignore. Be the change that you want to see in the company. Pay Range Transparency Onehouse is committed to fair and equitable compensation practices. Our job titles may span more than one career level. The pay range(s) for this role is listed above and represents the base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are dependent upon several factors that are unique to each candidate, including but not limited to: job-related skills, depth of transferable experience, relevant certifications and training, business needs, market demands and specific work location. Based on the factors above, Onehouse utilizes the full width of the range; the base pay range is subject to change and may be modified in the future. The total compensation package for this position will also include eligibility for equity options and the benefits listed above. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences. This is a paid 12-week internship opportunity and is a hybrid, in-office role. Here’s a glimpse into the Internship experience from some of our TRI interns! The Team You will be joining the Extreme Performance Intelligent Control (EPIC) team in the Human Interactive Driving division, a multidisciplinary research team focused on developing a world foundation model for driving—a unified, transferable representation of driving knowledge built from large-scale real-world and simulated data. Together, we are tackling the complex challenges of multi-agent interaction, causal reasoning, and embodied intelligence in highly dynamic, real-world driving environments. Our approach is inspired by cutting-edge generative modeling techniques and powered by scalable infrastructure and open-source data, and we work closely with engineers to deploy our models in simulation and on hardware. The Internship As a Ph.D. Research Intern, you will conduct original research at the intersection of machine learning and autonomous driving. Your work will focus on advancing the state of the art in world modeling across various areas, including representation learning, action conditioning, and evaluation. You will have the opportunity to prototype and evaluate your ideas in closed-loop simulations and contribute to research publications alongside TRI scientists. This is an opportunity to test and refine your research in a collaborative, high-impact environment, while working with real-world data and contributing to the future of autonomous systems. Responsibilities • Conduct original research in one or more areas: world modeling, multi-agent interaction, reinforcement learning, perception, or sim-to-real transfer., • Collaborate closely with full-time researchers on the design, training, and evaluation of learning-based driving systems., • Develop and evaluate prototypes in closed-loop simulation environments and, time permitting, on high-performance autonomous driving hardware., • Present research findings through internal talks and work towards a top-tier academic publication., • Integrate and work with large-scale datasets (open-source and internal).Qualifications, • Currently pursuing a Ph.D. in Computer Science, Robotics, Machine Learning, Electrical Engineering, or related fields., • Strong background in machine learning, particularly in areas such as deep learning, generative models, reinforcement learning, or probabilistic modeling., • Hands-on experience training and evaluating world models, model-based reinforcement learning, 3D reconstruction or sensor fusion, and large-scale simulation for robotics or autonomous systems., • Proficient coding skills with expertise in modern deep learning frameworks (e.g., PyTorch, JAX, TensorFlow, etc.)., • Prior publication(s) in top-tier AI/ML conferences.Bonus Qualifications, • Probabilistic and generative modeling., • Autonomous driving datasets., • Open-source foundation models., • Amazon Web Services (e.g., S3, EC2, SageMaker, etc.).Please include links to any relevant open-source contributions or technical project write-ups with your application. The pay range for this position at commencement of employment is expected to be between $45 and $65/hour for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, and paid time off benefits (including holiday pay and sick time). Additional details regarding these benefit plans will be provided if an employee receives an offer of employment. Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information. TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Atomic Machines is building the Matter Compiler™, the first in a new class of AI-native, all-digital manufacturing systems that build working machines directly from code. The Matter Compiler (MC) is aimed at micro-machines: motors and gears the size of a grain of sand, robots small enough to work inside the body, cooling built directly into the chips that run AI, and the many devices like them that have been waiting on a way to build them. Its first product is PrimeSwitch™, an electromechanical power relay the size of a button battery that carries 150 amps continuous current and opens in 50 microseconds, about a thousand times faster than a conventional contactor. Founded by Jeff Holden — serial entrepreneur, ex-Amazon SVP and Uber's first Chief Product Officer — the company has raised $250 million to date. Atomic Machines is based in the San Francisco Bay Area, with offices in Emeryville and Santa Clara. About The Role: The Matter Compiler runs on a fleet of nodes that control real-world equipment. Every build, release, and deployment that reaches that fleet goes through infrastructure this role owns: the build system for a multi-package monorepo that ships to several architectures, the CI/CD pipeline from push to green, the artifact store and shared cache, and the path that deploys software to about 80 nodes today and thousands of devices across several metros by 2027. You will own this infrastructure end to end: design, build, operate, and improve. You will decide what gets automated and what stays manual. You will set the blast-radius limits that stop a bad build from reaching the whole fleet. You will define the signals that tell us CI is degrading before engineers notice. And you will make the engineers around you change how they work, because at Staff, adoption is the job. Hardware experience is not required. What this role needs is the ability to decompose ambiguous system failures, reason across abstraction layers, and own problems that cross team and org boundaries. What You'll Do: • Own the build system for a 40-package monorepo that targets three architectures: hermetic builds, honest lockfiles, change detection, and a shared remote cache keyed on real inputs., • Own CI/CD end to end, including rollback. Measure push-to-green, queue depth, and fetch error rate. Drive the numbers down and show the result., • Design and operate the fleet deployment path: immutable artifacts, staged rollout, version handshake, drift detection, and an abort path that does not depend on the deploy script., • Define the production signals and thresholds for pipeline health, and the runbook an on-call engineer can run without you. Turn runbook steps into pipeline checks and auto-remediation where it pays back., • Own build-runner security as a blast-radius problem: short-lived credentials, scoped IAM, rotation as a mechanism, secret scanning in CI., • Work with IT on the GitLab, network, and identity boundaries. Ask where the boundary is instead of assuming it., • Remove toil with a number attached: what engineers did by hand before, how often, and what they do by hand now., • Drive adoption across teams that do not report to you. Make the new way the default and the old way slower., • Raise reliability standards without blocking delivery. Encode what you learn from incidents into systems, not reminders. What You'll Need:, • Ownership of a build system for a repository with many packages and more than one build target, including what was wrong with it and what you changed., • Ownership of a CI/CD system end to end, including rollback, with an opinion on what made deployments safer over time., • Deep fundamentals in build reproducibility and caching: why a test passes locally and fails in CI, what belongs in a cache key, and how a correct key can still serve a wrong artifact., • Deep fundamentals in fleet deployment: why mutable tags cause drift, how to deploy by digest, and how a node that has been offline rejoins production safely., • Experience designing failure paths that are concrete: what times out, what safe state is left behind, and what the next engineer sees., • A record of production incidents you diagnosed to root cause, with a mechanism, a measurement, and a fix., • A record of getting other engineers to adopt infrastructure you built, and the lever you used., • Candor about what you are not good at, and ownership of outcomes, including the ones that went wrong., • Fluency with AI tools in your daily engineering work, while owning the decisions, code, and results you accept., • Ability to work onsite five days per week Bonus Points For:, • Experience deploying software to distributed nodes that control physical equipment., • Experience with GitLab CI, Ansible, OIDC/STS-based credential flows, and artifact stores at scale., • Experience operating infrastructure through a growth phase from tens to thousands of endpoints. The compensation for this position also includes equity and benefits. Salary Range $180,000—$230,000 USD Atomic Machines is an equal opportunity employer that values diversity and does not discriminate based on characteristics protected by applicable law. We are committed to an inclusive interview experience, including for individuals with disabilities. To request an accommodation, contact rc@atomicmachines.com. To help our recruiting team manage application volume and respond to candidates more efficiently, Atomic Machines may use AI-assisted tools.

Job DescriptionAbout Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com. Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: • Business Insider named us an "enterprise startup to bet your career on", • Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world, • Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America, • Quartz ranked us the #1 best company for remote workersResponsibilities We are looking for an exceptional Embedded Account Executive to join our growing team. This is a remote role, candidates based anywhere in the United States are welcome to apply! In this role, you will also be responsible to: • Manage the entire sales process from prospecting to close, • Meet and exceed annual and quarterly sales targets, • Generate qualified pipeline through multiple channels including AE outbound, SDR collaboration, Events and Partners, • Maintain accurate pipeline management with expert-level forecasting, • Understand the product inside out, be technically sound, • Understand customer needs and requirement, • Be a company builder, • Share best practices back into the organizationRequirements Qualifications / Experience / Technical Skills, • 7+ years of experience in a full cycle, closing role, • Hunting and Account Management Experience handling and owning relationships with OEM partners, • Proven track record of consistently meeting or exceeding quotaSoft Skills / Personal Characteristics, • An enthusiastic team player who's comfortable working in a fast-paced and evolving environment., • A desire to build something new that can change the world, versus fitting neatly into a large company with an established static playbook. (REQ ID: 2957)

Job DescriptionAbout Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com. Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: • Business Insider named us an "enterprise startup to bet your career on", • Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world, • Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America, • Quartz ranked us the #1 best company for remote workersResponsibilities We are looking for an exceptional Senior Embedded Account Executive to join our growing team. In this role, you will also be responsible to: Manage the entire sales process from prospecting to close Meet and exceed annual and quarterly sales targets Generate qualified pipeline through multiple channels including AE outbound, SDR collaboration, Events and Partners Maintain accurate pipeline management with expert-level forecasting Understand the product inside out, be technically sound Understand customer needs and requirement Be a company builder Share best practices back into the organization RequirementsQualifications / Experience / Technical Skills 7+ years of experience in a full cycle, closing role Hunting and Account Management Experience handling and owning relationships with OEM partners Proven track record of consistently meeting or exceeding quota Soft Skills / Personal Characteristics An enthusiastic team player who's comfortable working in a fast-paced and evolving environment. A desire to build something new that can change the world, versus fitting neatly into a large company with an established static playbook. (REQ ID: 2986)

Job DescriptionAbout Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com. Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: • Business Insider named us an "enterprise startup to bet your career on", • Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world, • Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America, • Quartz ranked us the #1 best company for remote workersResponsibilities We're looking for a Staff Product Manager to own the build experience for Agent Studio — how customers create, configure, and iterate on AI agents within Workato. You'll own builder experience end-to-end. This role sits at the intersection of AI capabilities and builder usability - designing an experience where business technologists can build sophisticated AI agents without getting lost in complexity. You'll need to make hard calls about what to expose, what to abstract, and when to guide versus get out of the way. In this role, you will also be responsible to: Define, own and transform the entire experience where builders define agents and use them in recipes to achieve truly agentic experiences. Work closely with the PMs who own the recipe editor, knowledge base, and platform infrastructure to ensure the end-to-end builder journey is coherent. Spend significant time with customers understanding where they get stuck, what mental models they bring, and how you can bring delightful experiences at each stage in their journey Communicate the product strategy and requirements to key stakeholders Drive the product life cycle - ideation, design, prioritization, delivery, and adoption Bring teams together to define and implement product features Articulate product differentiation and value to internal and external stakeholders Define key metrics and measure the performance of features RequirementsQualifications / Experience / Technical Skills Strong product management experience, with meaningful time spent on products where the UX challenge was making something powerful feel approachable. You've worked on tools that serve users across a skill spectrum and had to decide how much complexity to expose at each level. Track record of translating technical capabilities into interfaces that feel intuitive without dumbing things down. You understand the difference between hiding complexity and organizing it — and you've shipped products that do the latter well. B2B software but aren't bound by B2B conventions. You look at enterprise tools and see opportunities where others see "that's just how it is." You're drawn to products like Figma, Linear, or Notion that prove complex workflows can still feel elegant. Familiarity with AI/ML concepts — enough to understand what builders are trying to accomplish and where current tooling falls short. You don't need to tune models yourself, but you should be able to have informed conversations about RAG, prompting, and evaluation approaches. 7+ years in Product Management Experience designing builder/creator tools, workflow products, or platforms where users construct rather than just consume Demonstrated ability to simplify complex products through thoughtful UX — portfolio examples or case studies welcome Experience working closely with design teams on interaction-heavy products Familiarity with AI product concepts Strong written and verbal communication skills Bachelor's degree or equivalent experience Nice to Have Background in design, or experience as a designer who transitioned to PM Experience with low-code/no-code platforms, IDE-like tools, or creative software Experience with products that serve both technical and less-technical users simultaneously Soft Skills / Personal Characteristics • Strong written and verbal communication skills, • You're a strong communicator who can articulate design rationale to engineering, advocate for builder needs to leadership, and write clear product specs that don't leave interaction details to chance. (REQ ID: 2468)

Job DescriptionRequisition ID: 107824-1 Title: AI Solutions & Experience Lead (Forward Deployed Engineering) Duration: 6-12 months with possible extension Location: Sunnyvale, WA Salary Range: $70- $75 an hour on W2/C2C Job Description: Forward Deployed Engineering; AI; RAG; LLM; vector database ; SQL; Digital : Python; Digital : ReactJS; TypeScript; Digital : Application Programming Interface (API); GraphQL; REST API; Data Architecture and Modeling; Digital : Docker; Digital : Client Azure; Digital : Amazon Web Service(AWS) Cloud Computing; prompt engineering; ML Flow; Lang Chain; LangGraph; CrewAI; Workflow Automation & Integrations; System Architecture Knowledge; Digital : Microservices; Copilot; cursor,Soft Skills; GIthub,The AI Solutions & Experience Lead plays a strategic role in driving workflow transformation through the Forward Deployed Engineering (FDE) framework. By embedding engineers directly within business units, this position collaborates closely with teams to redesign operational processes, deliver production-ready solutions using AI that can be successfully scaled into enterprise-wide platform capabilities. Core Responsibilities Partner directly with teams across Communications, Legal, and Enterprise Engineering to redesign work with AI. Embed with customer teams to understand their workflows, identify opportunities, and build AI solutions that deliver measurable business value. Own technical delivery from prototype through production, balancing speed, quality, and long-term maintainability. Build full-stack AI applications, agents, automations, and integrations that transform how work gets done. Lead rapid prototyping, remove blockers, and contribute directly in the code when needed. Drive adoption by partnering closely with customers through deployment and iteration. Turn successful customer solutions into reusable platforms, services, and playbooks that accelerate future deployments. Partner with Platform Engineering and Product teams to feed customer learnings back into our core AI capabilities. Required Skills 12 years of experience in engineering, infrastructure, developer tools, applied AI, or customer engineering environments Deep curiosity around AI-native software development and strong instincts for how AI changes engineering workflows Strong technical judgment and the ability to operate credibly with senior engineers and executives Experience building and shipping production systems in fast-moving environments Strong product instincts and systems thinking Comfortable operating with ambiguity and minimal process Excellent communication and customer leadership skills Strong sense of ownership and urgency" Role Descriptions: The AI Solutions Experience Lead plays a strategic role in driving workflow transformation through the Forward Deployed Engineering FDE framework By embedding engineers directly within business units this position collaborates closely with teams to redesign operational processes deliver productionready solutions using AI that can be successfully scaled into enterprisewide platform capabilities Core Responsibilities Partner directly with teams across Communications Legal and Enterprise Engineering to redesign work with AI Embed with customer teams to understand their workflows identify opportunities and build AI solutions that deliver measurable business value Own technical delivery from prototype through production balancing speed quality and longterm maintainability Build fullstack AI applications agents automations and integrations that transform how work gets done Lead rapid prototyping remove blockers and contribute directly in the code when needed Drive adoption by partnering closely with customers through deployment and iteration Turn successful customer solutions into reusable platforms services and playbooks that accelerate future deployments Partner with Platform Engineering and Product teams to feed customer learnings back into our core AI capabilities Required Skills 12 years of experience in engineering infrastructure developer tools applied AI or customer engineering environments Deep curiosity around AInative software development and strong instincts for how AI changes engineering workflows Strong technical judgment and the ability to operate credibly with senior engineers and executives Experience building and shipping production systems in fastmoving environments Strong product instincts and systems thinking Comfortable operating with ambiguity and minimal process Excellent communication and customer leadership skills Strong sense of ownership and urgency Essential Skills: Forward Deployed Engineering AI RAG LLM vector database SQL Digital Python Digital ReactJS TypeScript Digital Application Programming Interface API GraphQL REST API Data Architecture and Modeling Digital Docker Digital Client Azure Digital Amazon Web ServiceAWS Cloud Computing prompt engineering ML Flow Lang Chain LangGraph CrewAI Workflow Automation Integrations System Architecture Knowledge Digital Microservices Copilot cursorSoft Skills GIthub Desirable Skills: Keyword: Skills: Digital : Client Azure~Digital : Python~Digital : Amazon Web Service(AWS) Cloud Computing~Digital : ReactJS~Digital : Microservices Experience Required: 10 & Above Appreciate your quick response and please feel free to reach me out for any query you may have. Thanks

Job Description Indent : PSL307129-2-1 Role : Principal Integration Engineer Location : New York, NY 10005 (Hybrid) Rate: $72/hr Need strong exp with capital market Exp : 15 We are seeking a highly skilled and experienced Principal Engineer to join our Engineering team. As a Principal Engineer, you will be responsible for leading the design, development, and implementation of our brokerage systems. You will work closely with our engineering team and other stakeholders to create scalable, low latency, and highly available trading systems. What You'll Do • Responsible for the technical architecture, design and delivery of high performance, low-latency brokerage systems using Java/Golang, • Assesses the health and performance of software applications and databases and provides software and technology solutions, • Design, develop, and maintain REST APIs and microservices., • Work with the Broker Dealer Operations teams to support and enhance the trading and backend system for multiple asset classes like Equities, Options, Mutual Funds etc, • Define specifications and develops components, modifies existing software stack, prepare test data, and prepares functional specifications, • Analyze Service and application performance using various programming, • languages, tools and techniques, • Develop and maintain automated testing frameworks and CI/CD pipelines, • Provide technical leadership and mentorship to the engineering team, • Provide guidance to non-technical staff in using software and hardware systems most effectively and efficiently, • Support applications with an understanding of system integration, test planning, scripting, and troubleshootingYou Bring, • Bachelor's degree in Computer Science or related field or equivalent experience, • At least 10 years of experience in Software Engineering with expertise in Java, • Must understand Test Driven Development and how to write effective unit/integration tests, • Strong understanding of CI/CD and automated testing frameworks, • Proficient in developing and maintaining robust REST APIs and implementing sophisticated event-driven architectures with Kafka and Kubernetes, • Background in financial technology or capital markets is required, • Proficient in No SQL, SQL and Stored Procedures such as in Postgres, MySQL, • Experience with Unix, Linux Operating Systems, • Knowledge of Jira, Git, Jenkins, • Experience with a 24x7, highly-available architecture, • Strong experience with Amazon Web Services, • Experience with Scrum and other Agile processes, • Strong communication skills, • Strong analytical and problem-solving skillsSpecial Knowledge (Nice to Have, But Not Required), • Experience with Amazon Web Services, • Experience with Linux and writing scripts to extract and transform data, • Multiple years experience in fin-tech specifically Post Trade, Payment or SaaS

Job Description Atomic Machines is building the Matter Compiler™, the first in a new class of AI-native, all-digital manufacturing systems that build working machines directly from code. The Matter Compiler (MC) is aimed at micro-machines: motors and gears the size of a grain of sand, robots small enough to work inside the body, cooling built directly into the chips that run AI, and the many devices like them that have been waiting on a way to build them. Its first product is PrimeSwitch™, an electromechanical power relay the size of a button battery that carries 150 amps continuous current and opens in 50 microseconds, about a thousand times faster than a conventional contactor. Founded by Jeff Holden — serial entrepreneur, ex-Amazon SVP and Uber's first Chief Product Officer — the company has raised $250 million to date. Atomic Machines is based in the San Francisco Bay Area, with offices in Emeryville and Santa Clara. About The Role: Atomic Machines is building autonomous manufacturing systems that combine a core robotics platform with a diverse set of manufacturing processes. As Director of Electrical Engineering, you'll lead Electrical Engineering in developing electronics and electrical architectures spanning core motion control hardware, sensor/actuator interfaces, and specialized manufacturing systems. You will also lead an Electrical Integration team in defining interconnect strategy and driving interconnect diagrams (ICDs), harness design and procurement, system bring-up, and integration. You'll organize development across the core robotics platform and manufacturing process portfolio while building a cohesive, scalable electrical architecture. Working proactively with cross-functional partners, the CTO, and EE technical leaders, you'll uncover needs, align priorities, and balance shared platforms with process-specific designs. What You'll Do: • Shape electrical engineering strategy across the core robotics platform and manufacturing process portfolio. Proactively uncover cross-functional needs and translate them into a roadmap, priorities, resource plans, and clear commitments., • Build a cohesive, scalable electrical architecture across robotics and process systems. Work with the CTO and technical leaders to establish shared platforms and interfaces, balancing reuse with specialized requirements., • Drive end-to-end delivery. Lead electronics development and electrical integration, including interconnect strategy, interconnect diagrams (ICDs), harness design and procurement, system bring-up, and verification; manage dependencies and adapt plans as requirements evolve., • Provide deep technical leadership. Lead rigorous design reviews, challenge assumptions, and guide engineers through consequential tradeoffs and difficult technical problems., • Set and enforce organization-wide EE standards. Establish consistent practices for design review, documentation, verification, and release, including work outside the core EE team., • Ensure robust electrical systems. Address safety, protection, reliability, manufacturability, and serviceability throughout development, including specialized and high-voltage hardware., • Build and develop the organization. Hire and coach strong engineers and leaders, delegate ownership, and establish clear expectations for quality and execution. What You'll Need:, • Deep electrical engineering expertise, with the ability to reason from fundamentals, evaluate architecture and detailed designs, and provide credible technical guidance on complex problems., • Experience delivering complex electromechanical systems from design through bring-up, integration, validation, and operation., • A track record of organizing development across varied systems, balancing specialized requirements with shared architecture, reuse, and scalability., • Proactive cross-functional leadership: uncovering needs, shaping requirements, developing technical roadmaps, and securing alignment through execution., • Experience building and leading strong engineering organizations, including hiring, coaching, developing leaders, managing performance, and delegating ownership., • Experience establishing engineering standards across distributed teams and driving accountability beyond direct reporting lines., • A bachelor's or master's degree in Electrical Engineering or a related discipline, or equivalent practical experience. Additional Experience We Value:, • Electrical engineering leadership in autonomous machinery, robotics, advanced manufacturing, or similarly complex equipment., • Design and validation of specialized electrical systems for manufacturing or other physical processes, including high-voltage or precision power applications. The compensation for this position also includes equity and benefits. Salary Range $200,000—$260,000 USD Atomic Machines is an equal opportunity employer that values diversity and does not discriminate based on characteristics protected by applicable law. We are committed to an inclusive interview experience, including for individuals with disabilities. To request an accommodation, contact rc@atomicmachines.com. To help our recruiting team manage application volume and respond to candidates more efficiently, Atomic Machines may use AI-assisted tools.

Job Description About Knightscope Knightscope (NASDAQ: KSCP) is a security technology company building the nation's first Autonomous Security Force — autonomous machines, AI-driven software, and elite security professionals operating as one integrated managed service. The Company is on a mission to make the United States of America the safest country in the world. One Team. One Force. About the Role Knightscope is seeking a Senior Full Stack Engineer to design, build, and own the web platform powering the Signals intelligence platform and the ASR robot software stack across our full fleet — including the K1, K1Hv2, H1, K5, and K7. Signals is a complex, multi-layered web application integrating live robot telemetry, AI-driven alert management, real-time audio/video streaming, and a 3D digital twin visualization layer. This role is the bridge between backend services and the operator-facing experience — you will own full-stack feature delivery from RESTful API design through frontend implementation, and contribute to the architectural decisions that shape how security operators interact with a nationwide robot fleet. Location Requirement: Full-time, on-site at Sunnyvale HQ (No relocation provided) Key Responsibilities • Design and build scalable RESTful and GraphQL APIs supporting live media pipelines, alert management, reporting, investigation workflows, and 3D digital twin data feeds., • Develop highly responsive, accessible web interfaces for the Signals platform — including real-time dashboards, alert management views, investigation workspaces, and multi-stream video review with timeline scrubbing, frame-based navigation, and playback controls., • Architect and implement the 3D digital twin layer: real-time synchronization between physical robot state and digital environment using Three.js, Babylon.js, Cesium, or WebGL; sensor/telemetry data integration into live spatial visualizations., • Build and maintain live and recorded media pipeline integrations: WebRTC, RTSP, HLS, MP4 playback, and media storage/retrieval via AWS S3 and equivalent cloud services., • Integrate network camera APIs and device controls (Axis VAPIX, ONVIF, or equivalent) into Knightscope platforms., • Build backend services for media indexing, retrieval, playback logging, and archival using AWS S3/Glacier or equivalent., • Contribute to ASR robot platform software across the full fleet — including check-in/checkout flows, IMU bring-up, configuration management, and streaming and storage pipelines., • Maintain high code quality through peer code reviews, automated testing, and CI/CD practices; leverage AI-assisted development tools (GitHub Copilot, Claude.ai, or equivalent) to improve productivity and code quality., • Collaborate cross-functionally with robotics, AI/ML, audio/video, DevOps, and UI/UX teams; contribute to high-level product and architectural decisions. Required Qualifications • 7–10 years of full stack software engineering experience with a strong focus on production-grade web applications; enterprise SaaS, security operations, or IoT-connected platforms strongly preferred., • Expert proficiency in React, Redux, Node.js, ES6/TypeScript, HTML5, and CSS3; experience with component-based design systems and WCAG AA accessibility standards., • Strong backend experience in Python, Java, or Node.js; proficiency with a major web framework (Django, Flask, Rails, Express, or equivalent) and RESTful/GraphQL API design., • Hands-on experience with live and recorded video/audio technologies: WebRTC, RTSP, HLS, MP4 — including frontend video player development with timeline scrubbing, frame navigation, and event markers., • Experience building 3D or 2D interactive digital twin interfaces using Three.js, Babylon.js, Cesium, or WebGL — including real-time sensor/telemetry data integration and live spatial visualization., • Solid experience with AWS services: S3, SQS, DocumentDB, Kinesis, or equivalent cloud-native media and data pipeline services., • Proficiency with SQL and NoSQL databases (MySQL, MongoDB, Amazon DocumentDB, or equivalent); experience with media indexing and retrieval patterns., • Familiarity with network camera APIs and protocols (Axis VAPIX, ONVIF, or equivalent) is a strong differentiator., • Experience with FedRAMP compliance or U.S. Government security protocols is a plus., • BS in Computer Science, Software Engineering, or related field — or equivalent professional experience. Compensation & Benefits • Base Salary: $185,000 – $250,000 (DOE), • Equity: Stock options, • Benefits: Medical, dental, vision, 401(k), paid time off, • Location Requirement: Full-time, on-site at Sunnyvale HQ

Job DescriptionAbout Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com. Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: • Business Insider named us an "enterprise startup to bet your career on", • Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world, • Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America, • Quartz ranked us the #1 best company for remote workersResponsibilities The Model Context Protocol (MCP) is rapidly becoming the standard for how AI agents connect to enterprise systems — and Workato is building the gateway, governance, and runtime layer that makes MCP safe and scalable for the largest enterprises in the world. We are looking for a Senior Product Manager to own critical pieces of our Enterprise MCP roadmap and help shape how thousands of customers expose their tools, data, and workflows to AI agents. You'll work at the intersection of API management, identity, and AI infrastructure. Your decisions will shape how AI agents authenticate, what they're allowed to do, and how enterprises observe and govern agent behavior across hundreds of MCP servers and millions of tool invocations. This is a builder role on a small, senior team. You'll write PRDs that go straight into engineering, run customer design partners, present to analysts, and partner with GTM to land enterprise deals. If you've been waiting for the right moment to go deep on agentic infrastructure with the API and gateway chops you've built — this is it. In this role, you will also be responsible to: MCP Gateway capabilities — Drive the roadmap for one or more pillars of our gateway: authentication and identity (OAuth, OIDC, DCR, M2M), policy enforcement, observability, or runtime performance. MCP server lifecycle — Define how MCP servers are designed, published, versioned, and governed across customer environments. Set quality bars and develop the frameworks (tiering, certification, server design best practices) that scale across the ecosystem. Enterprise readiness — Translate enterprise security, compliance, and audit requirements into shippable product. Work directly with CISO and platform teams at design-partner customers. Cross-functional leadership — Partner with engineering leads on architecture decisions, with GTM on positioning and enablement, and with analyst relations on category-defining narratives (Gartner, Forrester). Competitive and market intelligence — Maintain a sharp point of view on the MCP landscape — OSS projects, hyperscaler offerings, and competing platforms — and translate that into product bets and differentiation. RequirementsQualifications / Experience / Technical Skills 4–5 years of product management experience, with at least 2 years on API platforms, API gateways, integration platforms, or developer infrastructure. Deep technical fluency in API management and gateway architecture — you understand the difference between an API gateway, an ingress controller, and a service mesh, and can hold your own in design reviews on rate limiting, routing, policy enforcement, and observability. Working knowledge of OAuth 2.0, OIDC, and modern identity patterns (authorization code flow, client credentials, DCR, token exchange). You can read an RFC and tell engineering whether the proposed design is spec-compliant. Track record of shipping technical products to enterprise customers, including writing PRDs that engineers respect and running design partner programs. Strong written communication — you can move fluently between a CISO briefing, a developer-facing blog post, and a six-page strategy doc. Strongly Preferred Experience with AI Gateway, LLM proxy, or agent runtime products (e.g., LiteLLM, Portkey, Kong AI Gateway, or in-house equivalents). Bonus if you've thought hard about prompt injection, tool poisoning, or agent identity. Hands-on familiarity with MCP as a spec — you've built an MCP server, integrated one, or have strong opinions about transports, resources vs. tools, and elicitation. Nice to Haves Prior experience at an iPaaS, API management vendor, or AI infrastructure company. Analyst relations experience (Gartner MQ, Forrester Wave). Conference speaking or technical writing presence in the API or AI infra communities. (REQ ID: 2925)

Job DescriptionAbout Onehouse Onehouse is a mission-driven company dedicated to freeing data from data platform lock-in. We deliver the industry’s most interoperable data lakehouse through a cloud-native managed service built on Apache Hudi. Onehouse enables organizations to ingest data at scale with minute-level freshness, centrally store it, and make available to any downstream query engine and use case (from traditional analytics to real-time AI / ML). We are a team of self-driven, inspired, and seasoned builders that have created large-scale data systems and globally distributed platforms that sit at the heart of some of the largest enterprises out there including Uber, Snowflake, AWS, Linkedin, Confluent and many more. Riding off a fresh $35M Series B backed by Craft, Greylock and Addition Ventures, we're now at $68M total funding and looking for rising talent to grow with us and become future leaders of the team. Come help us build the world's best fully managed and self-optimizing data lake platform! Mission As a pre-sales systems engineer (SE) hire candidate will be responsible for customer adoption and success of the Onehouse Managed Lakehouse solution. Responsibilities • Candidate will partner alongside field sales counterpart and engineering team to lead the technical aspects of the sales cycle, • SE responsibilities include communicating product offerings, provide architecture guidance, run proof of value, and provide assistance in migration process, • SE will provide technical leadership and frame Onehouse in the best light to prospects and customers, to evoke confidence in company’s technology infrastructure, and to remove all technical objections in the sales cycleMust Haves, • 2-3 years of experience in pre-sales engineering role., • Working knowledge of Big Data Technologies including Hudi, Spark, Trino/Presto, DBT, Kafka, Airflow, Avro, Hadoop., • Demonstrated experience and expertise in one or more of AWS/GCP/Azure cloud technologies., • Experience and knowledge in cloud native services such as Amazon EMR, Amazon Redshift, Amazon Kinesis, AWS Glue, Google BigQuery, Databricks, Snowflake, Azure HDInsight, etc., • Comprehensive understanding of data warehousing, data lake, data pipelines/ETL, and analytics design patterns., • Strong communication skills in explaining technical architecture., • 3-5 years of progressive experience implementing information technology solutions, • Solutions-focused approach that requires in-depth needs analysis (discovery), • Willingness to travel to customers as needed, • Desire to work in fast-paced startup environment where change is constantCompetencies Speed and hustle → Ability to run projects from end to end on short timeframe Quick decision making Great communication skills Ability to prioritize internal and external customer Bonus Skills, • End to end knowledge architecting cloud infrastructure., • Experience with Lakehouse technologies including Apache Hudi or Delta Lake or Apache Iceberg., • Experience contributing to open source technologies.Competitive Compensation; the estimated base salary range for this role is $180,000 - $210,000-Equity Compensation; our success is your success with eligible participation in our company equity plan -Health & Well-being; we'll invest in your physical and mental well-being with up to 90% health coverage (50% for spouses/dependents) including comprehensive medical, dental & vision benefits -Financial Future; we'll invest in your financial well-being by making this role eligible to contribute to our company 401(k) or Roth 401(k) retirement plan -Location; we are a remote-friendly company (internationally distributed across N. America + India), though some roles will be subject to in-person requirements in alignment with the needs of the business -Generous Time Off; unlimited PTO (mandatory 1 week/year minimum), uncapped sick days and 11 paid company holidays -Company Camaraderie; Annual company offsites and Quarterly team onsites @Sunnyvale HQ -Food & Meal Allowance; weekly lunch stipend, in-office snacks/drinks -Equipment; we'll provide you with the equipment you need to be successful and a one-time $500 stipend for your initial desk setup -Child Bonding!; 8 weeks off for parents (birthing, non-birthing, adoptive, foster, child placement, new guardianship) - fully paid so you can focus your energy on your newest addition We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Cloud Infrastructure Engineer – AWS / HPC / Scientific Computing Location: Palo Alto, California (On-site) Industry: Advanced Semiconductors / Cloud Infrastructure / Scientific Computing Company: Confidential, Stealth-Mode Venture Recruiting Firm: Leadingedge Technology Search The Opportunity We are conducting a confidential search for a well-funded, stealth-mode semiconductor technology company backed by top-tier investors. The company is developing a next-generation semiconductor technology platform and expanding its engineering infrastructure organization. We are seeking an experienced Infrastructure Engineer to design, build, and operate a sophisticated AWS-based scientific computing environment supporting advanced engineering, research, simulation, and semiconductor development. This is a hands-on engineering opportunity for an accomplished cloud infrastructure engineer with deep expertise in AWS, Windows and Linux virtual desktops, high-performance computing (HPC), GPU-accelerated workloads, and engineering software environments. The successful candidate will build upon an existing AWS foundation to create a scalable, secure, and highly reliable digital engineering platform integrating virtual desktops, engineering applications, scientific databases, laboratory systems, data pipelines, and computational resources. This position offers significant technical ownership, the opportunity to build mission-critical engineering infrastructure, and meaningful equity in an early-stage technology company. What You'll Do • Design, build, deploy, and operate an AWS-based scientific computing infrastructure supporting advanced engineering and research teams., • Architect and manage production-quality Windows and Linux virtual desktop environments for engineers and scientists., • Deploy GPU-accelerated virtual desktops supporting engineering visualization, modeling, simulation, and design applications., • Implement and manage AWS virtual desktop technologies, including Amazon WorkSpaces, Amazon DCV, Amazon AppStream 2.0, or comparable solutions., • Integrate cloud-based desktops with databases, laboratory instrumentation, engineering applications, shared storage, and scientific data pipelines., • Architect and deploy high-performance computing environments supporting computational modeling, simulation, and data-intensive engineering workloads., • Implement scalable compute resources and job scheduling infrastructure for scientific and engineering applications., • Configure and optimize AWS services, including Amazon EC2, S3, VPC, IAM, and related cloud infrastructure components., • Develop and maintain high-performance shared storage environments for engineering and scientific workloads., • Deploy, configure, and maintain commercial and custom engineering software, including application packaging, version management, and license servers., • Automate infrastructure provisioning and management using Terraform, AWS CloudFormation, AWS CDK, or comparable infrastructure-as-code technologies., • Develop automation scripts using Python, Bash, PowerShell, or related programming languages., • Implement monitoring, logging, patch management, backup, recovery, and operational reliability processes., • Establish secure identity management, access controls, network segmentation, and data protection practices., • Collaborate with corporate IT and engineering leadership to implement infrastructure security policies and protect sensitive intellectual property., • Troubleshoot complex infrastructure, application performance, networking, and computing environment issues., • Optimize infrastructure performance, scalability, reliability, and cloud operating costs., • Work directly with engineering and research teams to understand computational requirements and deliver effective technical solutions., • Establish technical documentation, operational procedures, and infrastructure best practices. Qualifications Required • BS, MS, or PhD in Engineering, Computer Science, Information Technology, Physics, or a closely related technical discipline., • Demonstrated experience designing, building, and operating AWS-based technical computing infrastructure used daily by engineers, scientists, or research teams., • Hands-on experience delivering and supporting production-quality Windows and Linux virtual desktop environments., • Experience with Amazon WorkSpaces, Amazon DCV, Amazon AppStream 2.0, or comparable virtual desktop technologies., • Strong expertise with core AWS infrastructure services, including Amazon EC2, Amazon S3, Amazon VPC, and AWS Identity and Access Management (IAM)., • Experience supporting compute-intensive engineering, scientific, simulation, or technical application environments., • Strong understanding of cloud networking, storage, identity management, access control, and infrastructure security., • Hands-on experience with infrastructure-as-code technologies such as Terraform, AWS CloudFormation, or AWS CDK., • Proficiency in Python, Bash, PowerShell, or comparable scripting and automation languages., • Experience troubleshooting complex cloud infrastructure, operating systems, networking, and application environments., • Demonstrated ability to build reliable, scalable, and secure infrastructure solutions., • Strong analytical, technical, and problem-solving skills., • Ability to resolve ambiguous and complex engineering challenges independently., • Excellent communication and cross-functional collaboration capabilities., • Comfortable working in a fast-paced, highly innovative startup environment. Preferred Experience Candidates with experience in one or more of the following areas are particularly encouraged to apply: • AWS infrastructure architecture for scientific and engineering computing, • Research and Engineering Studio on AWS, • Amazon WorkSpaces, Amazon DCV, and Amazon AppStream 2.0, • GPU-accelerated cloud desktops and remote visualization environments, • High-performance computing (HPC) architecture and deployment, • AWS ParallelCluster, AWS Batch, and Slurm job scheduling, • Amazon FSx for Lustre, Amazon FSx for NetApp ONTAP, and Amazon EFS, • High-performance shared storage and distributed file systems, • Semiconductor engineering, electronic design automation (EDA), and computational simulation environments, • Computer-aided design (CAD), modeling, and scientific visualization applications, • Engineering software deployment, application packaging, and version management, • FlexLM/FlexNet and other engineering software licensing systems, • AWS Managed Microsoft AD, AWS IAM Identity Center, and single sign-on integration, • Amazon RDS, Amazon Aurora, and AWS Step Functions, • Scientific data pipelines, laboratory instrumentation integration, and research data management, • Infrastructure automation using Terraform, CloudFormation, or AWS CDK, • CI/CD pipelines, DevSecOps, and infrastructure security automation, • Cloud monitoring, observability, backup, and disaster recovery, • Cloud cost optimization and performance tuning, • AWS Certified Solutions Architect – Professional or comparable AWS certifications, • Experience supporting intellectual-property-sensitive engineering environments, • Experience building cloud infrastructure in early-stage or rapidly growing technology companies Why Consider This Opportunity? • Join a well-funded, stealth-mode semiconductor technology company backed by top-tier investors., • Build and own the cloud infrastructure supporting a next-generation semiconductor technology platform., • Architect a sophisticated scientific computing environment from initial development through production operation., • Work alongside accomplished engineers, scientists, and technology innovators., • Influence critical infrastructure architecture, computing performance, security, and scalability decisions., • Play a key role in enabling advanced semiconductor research, simulation, and engineering development., • Take significant technical ownership in a rapidly growing engineering organization., • Competitive compensation, comprehensive benefits, and meaningful early-stage equity., • Opportunity for substantial technical impact and long-term career growth. Compensation & Benefits Competitive base salary commensurate with experience and seniority, meaningful equity participation, comprehensive health benefits, paid time off, and additional benefits. Confidential Search: Leadingedge Technology Search is managing this search on behalf of a privately held semiconductor technology company. Additional company information will be shared with qualified candidates during the interview process. \nCompany Description Stealth-Mode Start-Up backed by Tier 1 investors Stealth-Mode Start-Up backed by Tier 1 investors

Job Description Atomic Machines is building the Matter Compiler™, the first in a new class of AI-native, all-digital manufacturing systems that build working machines directly from code. The Matter Compiler (MC) is aimed at micro-machines: motors and gears the size of a grain of sand, robots small enough to work inside the body, cooling built directly into the chips that run AI, and the many devices like them that have been waiting on a way to build them. Its first product is PrimeSwitch™, an electromechanical power relay the size of a button battery that carries 150 amps continuous current and opens in 50 microseconds, about a thousand times faster than a conventional contactor. Founded by Jeff Holden — serial entrepreneur, ex-Amazon SVP and Uber's first Chief Product Officer — the company has raised $250 million to date. Atomic Machines is based in the San Francisco Bay Area, with offices in Emeryville and Santa Clara. About The Role: We're looking for a sharp, proactive Accountant to join our lean finance team at Atomic Machines — someone who treats month-end close as a process to be engineered, not just executed. Reporting to the Controller, this role owns the GL close and financial reporting, while also acting as a technical partner in modernizing how our finance data moves — connecting NetSuite, our manufacturing systems, and spend-management tools into live, automated reporting over time. At Atomic Machines, we are inventing the future of how things are made. In this role, you'll build the financial foundation for a company revolutionizing micromanufacturing and digital fabrication: clean books, strong controls, and a close process that gets faster and more automated each quarter — by building (and eventually directing AI agents to help build) the pipelines and dashboards that make that possible. You'll also work directly with the Controller on the next phase of systems integration and the early build-out of an AI-forward finance function, where agentic tools become part of the team — with the judgment and guardrails to use them responsibly. This role can be based in either our Santa Clara or Emeryville office. What You'll Do: You'll own the full month-end close, and build it — over time, not overnight — toward a more automated, AI-assisted state: scoping automation carefully and putting the right guardrails in place so delegation to AI never outpaces the controls around it. Own the month-end close calendar, coordinating cutoff across AP, payroll, and operations, and build tracking tools that reduce manual chasing. Prepare and post journal entries with full supporting documentation; identify good candidates for templated or AI-assisted drafting, with appropriate review steps. Complete key balance sheet reconciliations (bank, prepaid, fixed assets, accrued liabilities, deferred items), moving toward scripted workflows with exception-flagging rather than blind automation. Prepare the monthly financial statements package for Controller review, including flux analysis and variance commentary, working toward live, auto-refreshing reporting as data pipelines mature. Maintain a clean, audit-ready general ledger, building in automated checks incrementally as you learn where the real risk sits. Build and maintain data pipelines that pull from NetSuite, manufacturing systems, and spend-management tools into a single source of truth, via scripts, API connections, and AI-assisted tooling — grounded in a real understanding of how NetSuite is configured and how data flows through it, since that's what makes the automation actually hold up. Design live, HTML/dashboard-style reporting that refreshes on current data, working toward a continuous close. Scope what should and shouldn't be automated or delegated to AI — knowing the difference between a task that's safe for an agent and one that needs a human in the loop, and building guardrails (data handling, review gates, audit trail) around every AI-assisted workflow. Partner with the Controller on NetSuite optimization and the next waves of system integration as the business scales. Contribute to a central data repository for product cost models. Support tax and audit preparation by organizing financial data and schedules for external parties. What You'll Need: 3+ years of accounting experience, ideally with manufacturing, hardware, or capital-intensive exposure. Real, hands-on comfort with technology beyond Excel — you've used scripts, APIs, or AI tools to solve a data or reporting problem. Comfortable using AI tools to build and maintain things — even if you're not a "coder," you're unafraid to ask an AI to generate a script, run it, and figure out why it broke. Good judgment about automation risk — you can tell a low-stakes task safe to delegate to AI from a high-stakes one needing human review, and default to building guardrails. Open to growing your technical skillset over time, including basic Python or SQL, as needs evolve. A first-principles mindset — you question assumptions and rebuild processes from the ground up. Strong GAAP knowledge, with working knowledge of leases, debt, equity, revenue recognition, and inventory accounting. Experience with NetSuite or a similar scaled ERP system. High ownership and strong communication — able to explain both accounting logic and technical tradeoffs. Bachelor's degree in Accounting or Finance. Bonus Points For: Direct, hands-on NetSuite experience (beyond general ERP familiarity). Experience building automation or dashboards with Python, Google Apps Script, or low-code/no-code tools. Direct experience using AI coding assistants (Claude Code, Cursor, Copilot, etc.) or agentic workflows in finance. CPA or CPA-track. Big 4 experience. The compensation for this position also includes equity and benefits. Salary Range $150,000—$175,000 USD Atomic Machines is an equal opportunity employer that values diversity and does not discriminate based on characteristics protected by applicable law. We are committed to an inclusive interview experience, including for individuals with disabilities. To request an accommodation, contact rc@atomicmachines.com. To help our recruiting team manage application volume and respond to candidates more efficiently, Atomic Machines may use AI-assisted tools.

Job DescriptionAbout Onehouse Onehouse is a mission-driven company dedicated to freeing data from data platform lock-in. We deliver the industry’s most interoperable data lakehouse through a cloud-native managed service built on Apache Hudi. Onehouse enables organizations to ingest data at scale with minute-level freshness, centrally store it, and make available to any downstream query engine and use case (from traditional analytics to real-time AI / ML). We are a team of self-driven, inspired, and seasoned builders that have created large-scale data systems and globally distributed platforms that sit at the heart of some of the largest enterprises out there including Uber, Snowflake, AWS, Linkedin, Confluent and many more. Riding off a fresh $35M Series B backed by Craft, Greylock and Addition Ventures, we're now at $68M total funding and looking for rising talent to grow with us and become future leaders of the team. Come help us build the world's best fully managed and self-optimizing data lake platform! *If not local to Bay Area, you must be willing to relocate within 45 days and onboard in person for one week. Relocation package provided. The Community You Will Join When you join Onehouse, you're joining a team of passionate professionals tackling the deeply technical challenges of building a 2-sided engineering product. Our engineering team serves as the bridge between the worlds of open source and enterprise: contributing directly to and growing Apache Hudi (already used at scale by global enterprises like Uber, Amazon, ByteDance etc) and concurrently defining a new industry category - the transactional data lake. The Data Infrastructure team is the grounding heartbeat to all of this. We live and breathe databases, building cornerstone infrastructure by working under Hudi's hood to solving incredibly complex optimization and systems problems. The Impact You Will Drive: • As a foundational member of the Data Infrastructure team, you will productionize the next generation of our data tech stack by building the software and data features that actually process all of the data we ingest., • Accelerate our open source <> enterprise flywheel by working on the guts of Apache Hudi's transactional engine and optimizing it for diverse Onehouse customer workloads., • Act as a SME to deepen our teams' expertise on database internals, query engines, storage and/or stream processing.A Typical Day:, • Design new concurrency control and transactional capabilities that maximize throughput for competing writers., • Design and implement new indexing schemes, specifically optimized for incremental data processing and analytical query performance., • Design systems that help scale and streamline metadata and data access from different query/compute engines., • Solve hard optimization problems to improve the efficiency (increase performance and lower cost) of distributed data processing algorithms over a Kubernetes cluster., • Leverage data from existing systems to find inefficiencies, and quickly build and validate prototypes., • Collaborate with other engineers to implement and deploy, safely rollout the optimized solutions in production.What You Bring to the Table:, • Strong, object-oriented design and coding skills (Java and/or C/C++ preferably on a UNIX or Linux platform)., • Experience with inner workings of distributed (multi-tiered) systems, algorithms, and relational databases., • You embrace ambiguous/undefined problems with an ability to think abstractly and articulate technical challenges and solutions., • An ability to prioritize across feature development and tech debt with urgency and speed., • An ability to solve complex programming/optimization problems., • An ability to quickly prototype optimization solutions and analyze large/complex data., • Robust and clear communication skills., • Nice to haves (but not required):, • Experience working with database systems, Query Engines or Spark codebases., • Experience in optimization mathematics (linear programming, nonlinear optimization)., • Existing publications of optimizing large-scale data systems in top-tier distributed system conferences., • PhD degree with 2+ years industry experience in solving and delivering high-impact optimization projects.How We'll Take Care of You -Competitive Compensation; the estimated base salary range for this role is $215,000 - $250,000-Equity Compensation; our success is your success with eligible participation in our company equity plan -Health & Well-being; we'll invest in your physical and mental well-being with up to 90% health coverage (50% for spouses/dependents) including comprehensive medical, dental & vision benefits -Financial Future; we'll invest in your financial well-being by making this role eligible to contribute to our company 401(k) or Roth 401(k) retirement plan -Location; we are a remote-friendly company (internationally distributed across N. America + India), though some roles will be subject to in-person requirements in alignment with the needs of the business -Generous Time Off; unlimited PTO (mandatory 1 week/year minimum), uncapped sick days and 11 paid company holidays -Company Camaraderie; Annual company offsites and Quarterly team onsites @Sunnyvale HQ -Food & Meal Allowance; weekly lunch stipend, in-office snacks/drinks -Equipment; we'll provide you with the equipment you need to be successful and a one-time $500 stipend for your initial desk setup -Child Bonding!; 8 weeks off for parents (birthing, non-birthing, adoptive, foster, child placement, new guardianship) - fully paid so you can focus your energy on your newest addition House ValuesOne TeamOptimize for the company, your team, self - in that order. We may fight long and hard in the trenches, take care of your co-workers with empathy. We give more than we take to build the one house, that everyone dreams of being part of. Tough & Persevering We are building our company in a very large, fast-growing but highly competitive space. Life will get tough sometimes. We take hardships in the stride, be positive, focus all energy on the path forward and develop a champion's mindset to overcome odds. Always day one! Keep Making It Better AlwaysRome was not built in a day; If we can get 1% better each day for one year, we'll end up thirty-seven times better. This means being organized, communicating promptly, taking even small tasks seriously, tracking all small ideas, and paying it forward. Think Big, Act FastWe have tremendous scope for innovation, but we will still be judged by impact over time. Big, bold ideas still need to be strategized against priorities, broken down, set in rapid motion, measure, refine, repeat. Great execution is what separates promising companies from proven unicorns. Be Customer ObsessedEveryone has the responsibility to drive towards the best experience for the customer, be an OSS user or a paid customer. If something is broken, own it, say something, do something; never ignore. Be the change that you want to see in the company. Pay Range Transparency Onehouse is committed to fair and equitable compensation practices. Our job titles may span more than one career level. The pay range(s) for this role is listed above and represents the base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are dependent upon several factors that are unique to each candidate, including but not limited to: job-related skills, depth of transferable experience, relevant certifications and training, business needs, market demands and specific work location. Based on the factors above, Onehouse utilizes the full width of the range; the base pay range is subject to change and may be modified in the future. The total compensation package for this position will also include eligibility for equity options and the benefits listed above. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com. Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: • Business Insider named us an "enterprise startup to bet your career on", • Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world, • Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America, • Quartz ranked us the #1 best company for remote workersResponsibilities Drive the future of enterprise automation governance at Workato, the leading Enterprise Orchestration platform. As Staff Product Manager for Enterprise & AI Governance, you'll deliver next-generation governance capabilities that enable Fortune 500 companies to scale AI-powered integrations securely across global operations while meeting the strictest regulatory and enterprise architecture requirements. • Enterprise Governance & AI Control, • Own the roadmap for centralized governance across Workato's enterprise platform, including agentic AI governance, autonomous workflow controls, and intelligent policy enforcement. Design automated compliance frameworks that scale from hundreds to thousands of integrations while maintaining enterprise-grade security., • Access Control & Identity Management, • Define and deliver advanced RBAC systems and least-privilege access controls that work seamlessly across multi-cloud, hybrid environments. Partner with engineering to build policy-as-code capabilities and real-time access governance., • Compliance Automation, • Build compliance automation tools supporting SOC 2, GDPR, HIPAA, SOX, and emerging AI regulations like the EU AI Act. Create self-service governance workflows that reduce manual compliance overhead by 70%.Success Metrics Accelerate enterprise adoption: Enable 40% faster enterprise-wide Workato deployment through centralized governance and automated compliance workflows. Reduce administrative burden: Decrease governance overhead by 70% through intelligent automation and policy-driven access management. Drive customer success: Enable 80% of enterprise customers to deploy governance frameworks within the first 30 days. Lead AI governance: Pioneer agentic AI governance for integration platforms, supporting autonomous workflows with built-in guardrails. RequirementsQualifications / Experience / Technical Skills Essential Experience 7+ years product management experience in enterprise B2B SaaS platforms, with 4+ years in governance, security, or identity management. Deep understanding of enterprise access control models (RBAC, ABAC), identity protocols (SAML, OAuth 2.0, OIDC), and policy management frameworks. Knowledge of enterprise IT governance frameworks (ITIL, COBIT, NIST) and regulatory requirements (SOC 2, GDPR, HIPAA, SOX). Experience with policy-as-code implementation and enterprise integration patterns. SQL proficiency for governance analytics and compliance reporting. AI & Modern Governance Understanding of AI governance principles including model bias detection, algorithmic transparency, and automated policy enforcement. Knowledge of agentic AI systems and autonomous workflow governance challenges. Familiarity with emerging AI regulations and their impact on enterprise software platforms. Leadership & Execution Track record of shipping governance features that scaled to thousands of enterprise users. Experience collaborating with security teams, compliance officers, and IT administrators across global organizations. Strong analytical skills with experience defining and tracking governance KPIs and compliance metrics. (REQ ID: 2248)

Job DescriptionPay Rate Range: $ 75.00 - 76.51/hr. AI Solutions & Experience Lead (Forward Deployed Engineering) Job Description: Forward Deployed Engineering; AI; RAG; LLM; vector database ; SQL; Digital : Python; Digital : ReactJS; TypeScript; Digital : Application Programming Interface (API); GraphQL; REST API; Data Architecture and Modeling; Digital : Docker; Digital : Microsoft Azure; Digital : Amazon Web Service(AWS) Cloud Computing; prompt engineering; ML Flow; Lang Chain; LangGraph; CrewAI; Workflow Automation & Integrations; System Architecture Knowledge; Digital : Microservices; Copilot; cursor,Soft Skills; GIthub,The AI Solutions & Experience Lead plays a strategic role in driving workflow transformation through the Forward Deployed Engineering (FDE) framework. By embedding engineers directly within business units, this position collaborates closely with teams to redesign operational processes, deliver production-ready solutions using AI that can be successfully scaled into enterprise-wide platform capabilities. Core Responsibilities Partner directly with teams across Communications, Legal, and Enterprise Engineering to redesign work with AI. Embed with customer teams to understand their workflows, identify opportunities, and build AI solutions that deliver measurable business value. Own technical delivery from prototype through production, balancing speed, quality, and long-term maintainability. Build full-stack AI applications, agents, automations, and integrations that transform how work gets done. Lead rapid prototyping, remove blockers, and contribute directly in the code when needed. Drive adoption by partnering closely with customers through deployment and iteration. Turn successful customer solutions into reusable platforms, services, and playbooks that accelerate future deployments. Partner with Platform Engineering and Product teams to feed customer learnings back into our core AI capabilities. Required Skills 12 years of experience in engineering, infrastructure, developer tools, applied AI, or customer engineering environments Deep curiosity around AI-native software development and strong instincts for how AI changes engineering workflows Strong technical judgment and the ability to operate credibly with senior engineers and executives Experience building and shipping production systems in fast-moving environments Strong product instincts and systems thinking Comfortable operating with ambiguity and minimal process Excellent communication and customer leadership skills Strong sense of ownership and urgency Skills: Digital : Microsoft Azure~Digital : Python~Digital : Amazon Web Service(AWS) Cloud Computing~Digital : ReactJS~Digital : Microservices Experience Required: 10 & Above Skills:CategoryNameRequiredImportanceExperienceSkillCategoryTest1_MNDigital : Microsoft AzureYes1>7 years

Job Description Atomic Machines is building the Matter Compiler™, the first in a new class of AI-native, all-digital manufacturing systems that build working machines directly from code. The Matter Compiler (MC) is aimed at micro-machines: motors and gears the size of a grain of sand, robots small enough to work inside the body, cooling built directly into the chips that run AI, and the many devices like them that have been waiting on a way to build them. Its first product is PrimeSwitch™, an electromechanical power relay the size of a button battery that carries 150 amps continuous current and opens in 50 microseconds, about a thousand times faster than a conventional contactor. Founded by Jeff Holden — serial entrepreneur, ex-Amazon SVP and Uber's first Chief Product Officer — the company has raised $250 million to date. Atomic Machines is based in the San Francisco Bay Area, with offices in Emeryville and Santa Clara. About The Role: Our manufacturing system is composed of nodes; each delivers a unit of manufacturing capacity for a process, and there are a dozen or more node types. As a Software Engineer, Robotic Applications, you will bring nodes to life: designing the automation sequences, state machines, and APIs that turn integrated hardware into reliable, repeatable manufacturing capacity. Your deliverable is software, mainly Python, in the application layers of our stack: the APIs that wrap a node to automate manufacturing processes, the orchestration that sequences motion, vision, and process steps for throughput, and the calibration and diagnostic tooling that lets us replicate nodes and keep them healthy. You will work shoulder to shoulder with mechanical, electrical, and process engineers through bring-up: one week defining machine behavior with a mechanical designer, the next chasing cycle time out of a motion sequence or root-causing a failure that crosses the software/hardware boundary. You can try code on the machine in the morning and land it as a tested, typed package through CI in the afternoon. What You'll Do: • Design and implement machine behavior: automation sequencing, state machines, failure detection and recovery, and the APIs that expose it all., • Write code that makes unsafe commands impossible rather than merely discouraged: enforce invariants, validate before touching hardware, and leave the machine in a known state on every exit path., • Ship a simulator or mock with every device, test sequencing, timing, and recovery without the machine, and extend the conformance suite every machine runs in CI., • Optimize cycle time: instrument sequences, find where time goes, and overlap or restructure motion/vision/process steps to get it back., • Bring up new hardware with cross-functional teams, and build the calibration, verification, and diagnostic tools that make the next copy of a machine faster to stand up., • Debug across the stack: from a misbehaving sensor or homing failure up through orchestration logic, using logs, telemetry, and the machine itself., • Contribute to system reliability through observability that shows a machine degrading before it stops, fault handling, and graceful recovery, so machines run without babysitting., • Take a turn on the on-call rotation: periodically a one-week shift that includes the weekend (about once every 10 weeks; less frequently as the company grows and eventually transitioning to dedicated support teams)., • Current coverage slots are 6am–2pm or 2pm–10pm, and you will not be expected to work beyond the shift for those days. What You'll Need:, • 3+ years developing software for systems that interact with hardware or the physical world (level set by experience and interview performance, • Depth on something you built: at least one system you can take us two layers down into, what you wrote, why that design, what broke, and how you found it., • Strong programming fundamentals and fluent Python: you will write and debug Python every day, and every coding exercise in our interview is in Python. If your strongest language is something else, you are welcome if you can work in Python live; it does not need to be polished., • A first-principles mindset: you reason about why a design works, not just how you've seen it done., • Practical understanding of state machines, sequencing, and failure modes in systems where software drives physical hardware: what is legal from the current state, what must still hold when a step fails halfway, and why an operation that may be retried must be safe to repeat., • Systematic debugging habits, starting from the symptom and reaching the mechanism, and the collaboration skills to chase problems across the software/electrical/mechanical boundary., • BS in CS, EE, ME, Mechatronics, Robotics, or equivalent experience. Bonus Points For:, • Experience bringing up and integrating electromechanical systems (sensors, actuators, motion axes) in production environments., • Working fluency in a systems language (C++, Rust, Go); our motion stack is C++ and it helps to read it., • Robotics depth where this job uses it: kinematics, motion planning, vision-based alignment, calibration (hand-eye, kinematic, galvo scan-field), and a track record of landing it in shipped systems., • Experience with hardware-in-the-loop test design, observability, or simulation and digital-twin validation beyond unit-level mocks., • Realtime or embedded experience (valuable on adjacent teams; not required here). The compensation for this position also includes equity and benefits. Salary Range $170,000—$230,000 USD Atomic Machines is an equal opportunity employer that values diversity and does not discriminate based on characteristics protected by applicable law. We are committed to an inclusive interview experience, including for individuals with disabilities. To request an accommodation, contact rc@atomicmachines.com. To help our recruiting team manage application volume and respond to candidates more efficiently, Atomic Machines may use AI-assisted tools.

Job Description GenAI Front-End Engineer Focus: Embedded AI Experience, Micro-Frontend and SDK The goal is to build a reusable conversational and analytics experience that can be integrated into products owned by other teams. The UI must receive authentication, active screen context, filters and user actions from the host product, then display streamed answers, tables, charts, citations and conversation history. The integration approach may use a micro-frontend, Web Component, embedded SDK, module federation or secure iframe; experience embedding and operating a UI service within another application is the key requirement. Minimum capabilities Strong React and TypeScript production experience Proven experience embedding a UI, service or micro-frontend within another application Experience designing clean integration APIs, SDK contracts, callbacks, events and versioned interfaces Experience capturing host-application context such as the active page, filters, selected objects and user actions Experience building streaming, multi-turn GenAI interfaces with clarification flows, conversation history and error handling Experience rendering structured responses, including tables, charts, citations and reusable results Experience integrating REST and streaming APIs, authentication and token management Preferred: Experience building reusable UI SDKs or components used by multiple host applications Experience with micro-frontends, Web Components, module federation or secure iframe patterns Familiarity with MCP clients, embedded analytics or enterprise copilot products Familiarity with AWS, Amazon Bedrock and AgentCore-backed applications Location Bay Area preferred, with ability to work from the office 1 2 days per week Otherwise, must provide 4 6 hours of daily working overlap with Pacific Time EEO: Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.

Amazon Leo is Amazon‘s low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity. The Role In this role, you will participate in all phases of software development from requirements through implementation and test to operations. Our team tackles many critical satellite functions: power management, hardware interfaces, command & telemetry, and autonomous control. Job Responsibilities • Develop embedded software in C, C++, Rust, or other languages in a real-time operating system environment, • Architect, design, and implement software for satellite constellation, • Write software to interact with devices/electronics using I2C, SPI, RS-422, RS-485, Ethernet, etc. communications, • Write device drivers and system applications for flight code and flight management, • Work closely with hardware teams to support board bring-up and integration testing Export Control Requirement Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. BASIC QUALIFICATIONS, • 5+ years of non-internship professional software development experience, • 5+ years of programming with at least one software programming language experience, • 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience, • Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS, • 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience, • Bachelor‘s degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company‘s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ( for more information. If the country/region you‘re applying in isn‘t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at ( . USA, CA, San Diego - 168,100.00 - 227,400.00 USD annually USA, CA, Sunnyvale - 193,300.00 - 261,500.00 USD annually USA, WA, Redmond - 168,100.00 - 227,400.00 USD annually

Amazon Leo is Amazon‘s low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity. The Role In this role, you will participate in all phases of software development from requirements through implementation and test to operations. Our team tackles many critical satellite functions: power management, hardware interfaces, command & telemetry, and autonomous control. Job Responsibilities • Develop embedded software in C, C++, Rust, or other languages in a real-time operating system environment, • Architect, design, and implement software for satellite constellation, • Write software to interact with devices/electronics using I2C, SPI, RS-422, RS-485, Ethernet, etc. communications, • Write device drivers and system applications for flight code and flight management, • Work closely with hardware teams to support board bring-up and integration testing Export Control Requirement Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. BASIC QUALIFICATIONS, • 5+ years of non-internship professional software development experience, • 5+ years of programming with at least one software programming language experience, • 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience, • Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS, • 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience, • Bachelor‘s degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company‘s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ( for more information. If the country/region you‘re applying in isn‘t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at ( . USA, CA, San Diego - 168,100.00 - 227,400.00 USD annually USA, CA, Sunnyvale - 193,300.00 - 261,500.00 USD annually USA, WA, Redmond - 168,100.00 - 227,400.00 USD annually

Job DescriptionAbout the Role We are looking for an experienced IT Onsite Support Engineer / Senior IT Onsite Support Engineer to provide advanced on-site technical support and troubleshooting across endpoints, identity and access management, networking, enterprise applications, and cloud environments. This is a hands-on engineering role requiring strong troubleshooting skills, ownership of complex incidents, and the ability to work independently while collaborating with specialized network, security, IAM, cloud, and infrastructure teams. We are looking for someone with strong organizational maturity, who takes initiative, naturally supports colleagues, and can communicate effectively with business stakeholders across the organization. Key Responsibilities • Own and resolve complex incidents and service requests escalated from L1 support while meeting established SLAs., • Help prioritize daily tasks, support peer engineers with technical escalations, and foster good operational flow within the local team., • Interact directly with local managers and business stakeholders to provide clear technical updates, manage expectations, and address priority issues with confidence., • Perform advanced troubleshooting across Windows, macOS, and Linux operating systems., • Troubleshoot endpoint management and deployment platforms such as Microsoft Intune, Jamf, ManageEngine, and MDT., • Troubleshoot Active Directory, user accounts, group memberships, permissions, credentials, and directory synchronization issues., • Diagnose identity and authentication issues involving Okta, Duo, Microsoft Authenticator, and MFA., • Support employee lifecycle processes, including onboarding, offboarding, account provisioning, access changes, and cross-platform identity issues., • Troubleshoot enterprise networking issues involving TCP/IP, DHCP, DNS, routing, VLANs, VPNs, Cisco CLI, and Cisco Client., • Provide technical support for cloud environments such as Google Cloud Platform (GCP), Microsoft Azure, and Amazon Web Services (AWS)., • Diagnose advanced configuration, synchronization, and access issues involving Microsoft Outlook, Google Workspace, Zoom, and Webex., • Support application deployment, troubleshooting, software entitlement validation, license assignment, and software asset management processes., • Perform root-cause analysis for recurring technical issues and contribute to long-term corrective solutions., • Maintain accurate technical documentation, troubleshooting procedures, and incident-resolution records., • Coordinate complex incidents with Network, Security, IAM, Cloud, Infrastructure, and other specialized technical teams.Required Skills & Experience, • Minimum 3 years of relevant hands-on experience in IT support, infrastructure support, systems administration, endpoint engineering, or a related enterprise IT role., • Strong ownership and organizational skills, with the ability to balance competing priorities and independently support departmental needs., • Excellent interpersonal and communication skills, with the confidence to interface clearly and professionally with colleagues and stakeholders at all levels., • A proactive mindset with a natural inclination to share knowledge and support fellow team members., • Strong hands-on experience supporting Windows, macOS, and Linux environments., • Strong understanding of Active Directory, identity and access management, user attributes, group memberships, and identity synchronization., • Hands-on experience with Okta, Duo, Microsoft Authenticator, MFA, or similar enterprise identity platforms., • Solid networking knowledge including TCP/IP, DHCP, DNS, routing, VLANs, VPNs, and LAN/WAN fundamentals., • Working knowledge of Cisco CLI and Cisco Client., • Experience with enterprise endpoint-management platforms such as Microsoft Intune, Jamf, ManageEngine, or MDT., • Experience supporting enterprise productivity and collaboration platforms such as Microsoft Outlook, Google Workspace, Zoom, and Webex., • Strong troubleshooting and root-cause-analysis skills with the ability to independently drive technical issues through resolution., • Ability to prioritize multiple incidents and service requests while meeting established SLAs and deadlines., • Strong documentation, customer-service, and cross-functional collaboration skills., • Excellent written and verbal communication skills in English., • Must be willing and able to work onsite 5 days per week. Preferred Qualifications • Experience working in a large, distributed enterprise IT environment., • Experience with or exposure to at least one major cloud platform: GCP, Azure, or AWS., • Experience supporting employee onboarding/offboarding and access-management processes., • Experience performing root-cause analysis and developing technical documentation or knowledge-base articles.

Job Description We are looking for a passionate certified Data Engineer. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements. Primary skillset: Python/Pyspark & Azure, ADF, SQL, SQL Server, Data Warehousing, ETL Secondary: Databricks Nice to have: Informatica/ETL. Responsibilities • Design and develop ETL processes based on functional and non-functional requirements in python / pyspark within Azure platform, • Understand the full end to end development activities from design to go live for ETL development and Azure platform Recommend and execute improvements • Document component design for developers and for broader communication., • Understand and adopt an Agile (SCRUM like) software development mindset, • Follow established processes/standards, business technology architecture for development, release management and deployment process, • Execute and provide support during testing cycles and post-production deployment, engage in peer code reviews., • Elicit, analyze, interpret business and data requirements to develop complete business solutions, includes data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life cycle management, governance, lineage, metadata and reporting elements., • Apply automation and innovation on new and on-going data platforms for those development projects aligned to business or organizational strategies., • Design, develop and implement reporting platforms (e.g. modeling, ETL, BI framework) and complex ETL frameworks that meet business requirements., • Deliver business or enterprise data deliverables (that adhere to enterprise frameworks) for various platforms/servers/applications/systems. Requirements • Proven working experience as a data engineer, • Bachelor degree or equivalent in Computer Science, • Skilled in Python object-oriented programming, • Skilled in AWS Compute such as EC2, Lambda, Beanstalk, or ECS, • Skilled in AWS Database products such as Neptune, RDS, Redshift, or Aurora, • Skilled in AWS Management and Governance suite of products such as CloudTrail, CloudWatch, or Systems Manager, • Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms, • Skilled in SQL, • Skilled in Jenkins, • Skilled in JSON, • Skilled in discovering patterns in large data sets with the use of relevant software such as Oracle Data Mining or Informatica, • Skilled in cloud technologies and cloud computing, • Experience using software and computer systems' architectural principles to integrate enterprise computer applications such as xMatters, AWS Application Integration, or WebSphere, • Determining causes of operating errors and taking corrective action, • Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data, • Skilled in creating and managing databases with the use of relevant software such as MySQL, Hadoop, or MongoDB, • Programming including coding, debugging, and using relevant programming languages, • Communication including communicating in writing or verbally, copywriting, planning and distributing communication, etc., • Ability to frame ideas as systems and analyzing the inputs, outputs, and process, • Experience helping an organization to plan and manage change in effort to meet strategic objectives, • Adept at managing project plans, resources, and people to ensure successful project completion, • Working with people with different functional expertise respectfully and cooperatively to work toward a common goal

Job Description Atomic Machines is building the Matter Compiler™, the first in a new class of AI-native, all-digital manufacturing systems that build working machines directly from code. The Matter Compiler (MC) is aimed at micro-machines: motors and gears the size of a grain of sand, robots small enough to work inside the body, cooling built directly into the chips that run AI, and the many devices like them that have been waiting on a way to build them. Its first product is PrimeSwitch™, an electromechanical power relay the size of a button battery that carries 150 amps continuous current and opens in 50 microseconds, about a thousand times faster than a conventional contactor. Founded by Jeff Holden — serial entrepreneur, ex-Amazon SVP and Uber's first Chief Product Officer — the company has raised $250 million to date. Atomic Machines is based in the San Francisco Bay Area, with offices in Emeryville and Santa Clara. About The Role: This is a broad-responsibility, high-judgment team leader role within the IT team. The Senior Manager, Network and Information Security is a strategic leadership role responsible for architecting, building, and governing the enterprise network and security infrastructure across a high-tech manufacturing environment. This role blends deep technical expertise in network architecture, cloud networking, and cybersecurity with people management to develop and lead a small team of engineers and vendor resources to deliver secure, resilient, and scalable connectivity across all production and corporate sites. This position serves as the principal authority on network and security, working cross-functionally with IT, engineering, and business stakeholders to align network capabilities with manufacturing operational goals. This is a full-time, onsite position based in either our Emeryville or Santa Clara office, with occasional work from the other office as needed. What You'll Do: • Leadership, Team and Vendor Management, • Directly supervise, mentor, and develop a very small team of network and security engineers, providing technical guidance, and career development for internal members., • Set team priorities, manage workloads, and ensure 24/7 network operational coverage through effective on-call rotation and escalation protocols., • Foster a culture of continuous improvement, knowledge sharing, and operational excellence within the network security team., • Recruit, onboard, and retain top networking and security talent aligned with the organization's growth roadmap., • Manage external network and security vendors, holding all parties accountable to defined SLAs, quality standards, and outcomes., • Network Architecture and Design, • Lead and own the end-to-end enterprise network architecture strategy, including LAN/WAN, SD-WAN, wireless, interconnects, and OT/IT segmentation., • Architect scalable, high-availability network solutions that support manufacturing operations, IoT devices, and enterprise applications., • Evaluate and recommend emerging network technologies, vendors, and platforms to address capability gaps and future-state requirements., • Develop and maintain comprehensive network architecture drawings, topology diagrams, standards documentation, and lifecycle roadmaps., • Lead routing and switching design, including BGP, OSPF, VLAN segmentation, QoS, and equipment lifecycle management., • AWS Cloud Networking, • Design, implement, and manage AWS networking constructs including VPCs, Transit Gateways, Direct Connect, VPN connections, Security Groups, and NACLs., • Architect hybrid connectivity between on-premises manufacturing sites and AWS cloud environments, ensuring low-latency, secure, and resilient integration., • Partner with engineering and DevOps teams to define and enforce network guardrails, tagging standards, and AWS Organizations-level networking policies., • Optimize AWS networking costs and performance through right-sizing, traffic engineering, and architectural reviews., • Network Security, • Lead the design and enforcement of network security policies, including firewall rule management, zero-trust network access (ZTNA), network access control (NAC), and micro-segmentation., • Oversee network vulnerability assessments and penetration test scoping; ensure timely remediation and deliver clear risk assessment reports to stakeholders., • Manage the installation, configuration, and lifecycle of firewalls, IDS/IPS, proxies, and related security appliances., • Support compliance activities (e.g., NIST, SOC 2, ISO 27001, etc.) through network controls documentation, audit evidence, and remediation execution., • Create management processes to keep all network equipment current and hardened against known vulnerabilities., • Work with team members to facilitate Purple Team and Table Top Exercises., • Operations & Incident Management, • Lead day-to-day network operations, ensuring high availability, performance, and reliability across all enterprise and manufacturing network segments., • Resolve break/fix incidents on network security systems, serving as the senior technical escalation point for both internal engineers and external vendors., • Oversee network monitoring platforms (e.g., Grafana, Datadog, LogicMonitor, etc); define alerting thresholds, dashboards, and response runbooks., • Lead incident response for high-severity network outages, serving as the escalation point from the 24/7 operational support team., • Drive root cause analysis (RCA) investigations; author and publish detailed RCA reports and corrective action plans for senior leadership., • Manage ticketing workflows, ensuring SLA adherence for network-related work orders and user-reported issues., • Stakeholder Collaboration & Governance, • Act as the primary network engineering liaison to IT leadership, OT engineering, manufacturing operations, and engineering teams., • Participate in capacity planning, capital expenditure budgeting, and vendor contract negotiations for network infrastructure., • Present network strategy, risk posture, and project updates to IT leadership and business stakeholders. What You'll Need:, • 10+ years of progressive network engineering experience, with at least 3 years in a people management or technical lead role., • Demonstrated experience architecting enterprise-grade network solutions in a manufacturing, industrial, or highly regulated environment., • 5+ years of hands-on experience with AWS networking services (VPC, Transit Gateway, Direct Connect, Route 53, WAF, Security Groups)., • Proven experience in network security device management including NGFWs (Palo Alto, Fortinet, Cisco), IDS/IPS, NAC, CASB/SASE, and Web Filtering platforms., • Strong background in routing and switching protocols: BGP, OSPF, EIGRP, MSTP, VLANs, and QoS., • Experience with wireless network design and management (Cisco Meraki, Aruba, or equivalent) across large, distributed campuses., • Certification(s) in CCNP Enterprise or CCIE, AWS Certified Advanced Networking – Specialty, CISSP or CISM, Palo Alto PCNSE, AWS Solutions Architect – Professional, ITIL v4 Foundation, etc., • Bachelor's degree in Computer Science, Information Technology, Network Engineering, or related field. Equivalent experience considered. Technical Skills:, • Network platforms Cisco (IOS-XE/XR/NX-OS), Palo Alto, Juniper, Meraki, Fortinet, • Cloud Networking: AWS VPC, Transit Gateway, Direct Connect, VPN, WAF, Security Groups, NACLs, • Security Tools: Firewalls, IDS/IPS, SIEM (Rapid7/Splunk/Palo Alto), NAC (Cisco FrISE/Aruba ClearPass), Vulnerability Scanners, • Protocols: BGP, OSPF, EIGRP, STP/MSTP, VXLAN, DMVPN, MPLS, 802.1x, QoS, • Wireless: Enterprise Wi-Fi 6/6E, WPA3, WLAN controllers, RF design and site surveys The compensation for this position also includes equity and benefits. Salary Range $250,000—$290,000 USD Atomic Machines is an equal opportunity employer that values diversity and does not discriminate based on characteristics protected by applicable law. We are committed to an inclusive interview experience, including for individuals with disabilities. To request an accommodation, contact rc@atomicmachines.com. To help our recruiting team manage application volume and respond to candidates more efficiently, Atomic Machines may use AI-assisted tools.

Job Description Indent : SFOP209178-2 Role : Senior Java / Spring Boot Developer Location : Scottsdale, AZ (Hybrid) Rate: $65 to $70/hr 3-month Project Mandatory Technical Skills Java 17 Spring Boot 3.x REST API design and development JWT validation and claims processing OAuth 2.0 and token-based security JSON Web Key Sets, public/private keys and certificate handling Docker and containerised application development Unit and integration testing Error handling and API response mapping Git-based source control CI/CD pipeline configuration Strong debugging and problem-solving capabilities Preferred Skills Experience with Okta or a comparable identity platform. Understanding of OAuth client assertion flows. Exposure to AWS KMS signing and key-management integration. Experience deploying applications to Kubernetes or Amazon EKS. Familiarity with GitLab CI and Harness CD. Familiarity with API gateways, preferably Tyk. Experience implementing observability using Honeycomb or similar tooling. Experience supporting performance testing with Gatling. Understanding of application-security practices for authentication and token services.

Job Description About Auxia Auxia is building the future of AI-powered marketing. Our platform enables modern marketing teams to deploy intelligent agents that activate, engage, and retain customers, at scale. We’re backed by iconic investors and leaders from Google, Meta, and Amazon and trusted by global enterprises like The Guardian, Mercari, and Docomo. Auxia operates at the nexus of automation and intelligence, enabling brands to deliver highly personalized customer journeys powered by generative AI and agentic workflows while massively simplifying operations and reducing overhead. Learn more about our vision here and here. If you're excited by frontier technology, fast execution, and building something enduring from the ground up, Auxia offers an exceptional environment to do your best work. About the role As an AI Product Manager on Auxia’s Customer Impact team, you will play a crucial role in driving transformative growth for our enterprise customers. You’ll work directly with senior stakeholders to understand their objectives and craft tailored strategies that leverage Auxia’s AI-driven platform to optimize customer engagement, activation, and retention. You will work alongside our Forward Deployed Engineer to guide clients through solution design, implementation, and optimization phases, ensuring that every engagement delivers measurable impact. As a trusted advisor, you’ll help clients unlock new growth opportunities and maximize the value of their partnership with Auxia. Responsibilities Develop tailored strategies using Auxia’s AI-driven platform to drive customer engagement, activation, and retention, aligning with each client’s unique goals Serve as a trusted advisor, guiding clients through the platform’s capabilities and helping them achieve measurable, strategic results Continuously analyze and report on performance metrics, providing insights and recommendations to optimize client outcomes Collaborate with enterprise clients to understand their growth objectives, pain points, and opportunities for improvement Capture and translate customer feature requests into product requirements, and communicate roadmap updates back to customers Facilitate knowledge transfer and training sessions, empowering clients to fully utilize Auxia’s platform and drive long-term growth Support our Forward Deployed Engineers to guide customers through solution design and implementation Identify upsell and cross-sell opportunities by recognizing additional client needs and areas for further partnership expansion Qualifications 5+ years of experience in a consulting, investment banking, or growth role focused on enterprise growth and engagement Exceptional interpersonal and communication skills, with experience building relationships and influencing senior client stakeholders Analytical mindset, comfortable working with data to derive insights and measure success Comfort with slicing data to investigate and validate impact; comfort with SQL is a plus Familiarity with LLM/agent patterns (tool use, retrieval, guardrails, evaluation) Bachelor’s degree in a technical, or business field We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOur Mission As humans, there are few things more exciting than meeting someone new. At Tinder, we’re inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive—and rapidly growing. We work together to solve complex problems. Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more. Our Values • Take the Lead: We don't ghost our work or each other. Just as users don't leave their matches hanging, we don't let each other down., • Move Fast: We have a bias for action and urgency. Something that could be done tomorrow would be better if done today., • Better Together: We keep connection at the heart of dating and at the heart of how we work. Just as our users are better when they connect with others, so are we when we collaborate., • Real Talk: We say the hard thing the human way. Just as we ask our users to behave with kindness and candor in our community, we expect Team Tinder to do the same., • Safety First: We act with integrity, transparency, and consistency so people feel safe—whether they're swiping, matching, or working alongside us., • Spark Fun: We have fun to unlock creativity, fuel innovation, and help us build better experiences for daters. Program Duration The internship program will run from June 1 through August 31, 2027. Where you’ll work This is a hybrid role that requires in-office collaboration three days per week in either Los Angeles or Palo Alto, California. About the Role As a Backend Engineer Intern at Tinder, you will partner directly with senior members of the engineering team and be empowered to contribute solutions to Tinder’s backend system. We are deeply invested in improving architecture design, exploring and leveraging new technologies in interesting ways to deliver an app that continues to shape how people connect globally. What you'll do: • Collaborate across Tinder Engineering on the expansion of our service platform., • Develop and operate scalable and resilient distributed services that run on Amazon Web Services (AWS)., • Build large scale distributed systems that handle billions of data events a day., • Write unit and integration tests., • Access to cutting-edge Generative AI tools and the opportunity to apply them in real-world engineering work.What we're looking for:, • Aspiring backend developer who’s excited to work on large scale challenges with cutting-edge technology., • Proficiency in coding with at least one language (Java, Scala, Python,Typescript, Nodejs, etc.)., • Foundational knowledge of basic Computer Science principles: data structures and algorithms., • Curiosity and creativity in leveraging Generative AI to reimagine feature building and development workflows., • Currently pursuing a BS/BA, MS, or PhD in Computer Science or a related field.Nice to have:, • Prior internship or work experience on backend systems., • Completed relevant project experience (i.e. hackathons, personal projects, GitHub, Open Source, volunteer coding experience etc.)., • Knowledge of technologies such as; Protocol Buffers, gRPC, Apache Kafka, Apache Flink, ElasticSearch, Redis., • Aware of AWS technologies like; DynamoDB, S3, RDS, ElastiCache. The compensation range listed above is representative of the hourly rate offered. Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in Los Angeles, and Palo Alto, California. This hourly rate will be subject to a geographic adjustment (according to a specific city, state, and country), if an authorization is granted to work outside of the location listed in this posting. Commitment to Inclusion At Tinder, we don’t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don’t meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: https://www.lifeattinder.com/dei If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly. #Tinder .

Job Description About Auxia Auxia is building the future of AI-powered marketing. Our platform enables modern marketing teams to deploy intelligent agents that activate, engage, and retain customers, at scale. We’re backed by iconic investors and leaders from Google, Meta, and Amazon and trusted by global enterprises like The Guardian, Mercari, and Docomo. Auxia operates at the nexus of automation and intelligence, enabling brands to deliver highly personalized customer journeys powered by generative AI and agentic workflows while massively simplifying operations and reducing overhead. Learn more about our vision here and here. If you're excited by frontier technology, fast execution, and building something enduring from the ground up, Auxia offers an exceptional environment to do your best work. About the role As a Forward Deployed Engineer on Auxia’s Customer Impact team, you will lead complex, cross-functional technical programs, collaborating with engineering, product, and solutions teams to drive seamless platform integration for Auxia’s enterprise clients. Your work will extend beyond technical implementation to influence product enhancements and new feature development based on partner feedback and evolving technical requirements. This role requires a deep understanding of enterprise software and AI-driven solutions, as well as experience managing technical projects with a significant data integration component Responsibilities • Lead end-to-end customer implementations and expansions, including system design, platform integration, solution customization, and deployment, while managing cross-functional collaboration with engineering, data science, and solutions teams., • Translate client and business needs into clear technical requirements and development roadmaps, working closely with engineering to prioritize and implement features, ensuring alignment with partner objectives and scalability requirements., • Manage technical dependencies and risks across multiple projects, proactively identifying potential issues and driving resolution to ensure on-time and high-quality delivery., • Develop, maintain, and optimize data integration workflows, ensuring efficient, scalable data exchanges between Auxia's platform and partner systems, leveraging cloud data warehouses, APIs, and other data management solutions., • Drive continuous improvement by establishing, tracking, and reporting on program metrics, analyzing deviations to optimize workflows, and implementing technical and process enhancements., • Act as the primary technical point of contact for key partners, providing hands-on support during the onboarding process and troubleshooting complex technical issues, including reviewing system logs to triage issues., • Monitor and optimize integration health post-deployment to ensure long-term scalability and reliability., • Lead program reviews, communicate technical insights to non-technical stakeholders, and present program updates, risks, and impacts to leadership and partner teams.Qualifications, • 5+ years of experience in solutions engineering, forward deployed engineering, technical account management or a related technical role, such as software development, focused on enterprise software, data integration, or machine learning-based platforms., • Proven ability to manage large-scale, cross-functional projects, driving alignment across engineering, product, and solutions teams to deliver technically complex solutions., • Expertise in data integration, APIs, and cloud data platforms (e.g., AWS, Google Cloud, Azure), with hands-on experience integrating large data systems in enterprise environments., • Proficiency in data analysis using SQL, • Strong understanding of AI/ML platforms, particularly in customer engagement or growth contexts, with an ability to identify technical trade-offs and optimize data-driven solutions., • Familiarity with LLM/agent patterns (tool use, retrieval, guardrails, evaluation), • Ability to write or review prompt specs/runbooks, • Ability to work in source code repositories to make configuration changes, • Excellent communication and analytical skills, with experience presenting technical insights to both technical and non-technical audiences, including senior leadership., • Bachelor’s degree in Computer Science, Engineering, or a related technical field. The base salary offered to a successful candidate will depend on a wide range of compensation factors, including, but not limited to, work experience, education and/or training, critical skills, and/or business considerations. In addition, this role is eligible for equity, and competitive benefits. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Atomic Machines is building the Matter Compiler™, the first in a new class of AI-native, all-digital manufacturing systems that build working machines directly from code. The Matter Compiler (MC) is aimed at micro-machines: motors and gears the size of a grain of sand, robots small enough to work inside the body, cooling built directly into the chips that run AI, and the many devices like them that have been waiting on a way to build them. Its first product is PrimeSwitch™, an electromechanical power relay the size of a button battery that carries 150 amps continuous current and opens in 50 microseconds, about a thousand times faster than a conventional contactor. Founded by Jeff Holden — serial entrepreneur, ex-Amazon SVP and Uber's first Chief Product Officer — the company has raised $250 million to date. Atomic Machines is based in the San Francisco Bay Area, with offices in Emeryville and Santa Clara. About The Role: As an Electromechanical Prototype Technician, you will be responsible for executing complex build procedures across a diverse range of R&D and engineering-driven projects. This role demands proficiency in interpreting detailed CAD models, electrical schematics, and mechanical drawings to fabricate, assemble, and validate prototype systems. You'll be expected to apply advanced knowledge of electrical wiring, soldering, and harness fabrication, alongside mechanical assembly techniques including pneumatic plumbing and additive manufacturing. Success in this position requires a strong grasp of electromechanical integration, including troubleshooting multi-domain systems involving sensors, actuators, and embedded controllers. You will collaborate closely with design engineers to iterate on prototypes, provide feedback for design improvements, and ensure builds meet functional and safety specifications. Prior hands-on experience in a development or prototyping environment is essential, particularly in fast-paced settings where adaptability and precision are critical. What You'll Do: • Assemble, rework, troubleshoot, maintain, and test new machine designs used in complex automated manufacturing processes., • Perform surface-mount and through-hole PCB soldering, wire harness fabrication, system integration, and electrical troubleshooting., • Collaborate with engineering teams to develop electromechanical assembly documentation and detailed work instructions., • Operate manual mills, manual lathes, laser cutters, 3D printers, and various power and hand tools to fabricate and assemble prototype fixtures and assemblies., • Work cross-functionally to meet project deadlines and support company objectives., • Maintain an organized workspace and assist in inventory management and procurement of consumables.What You'll Need:, • 6+ years of industry experience., • Hands-on expertise in both mechanical and electrical systems, including small precision work and large-scale assemblies., • Proven experience debugging complex electromechanical systems., • Basic metrology or inspection skills (e.g., using calipers, micrometers, multimeters, etc.)., • Ability to read and interpret CAD drawings., • Proficiency in reading schematics for troubleshooting and assembly., • Wire harness assembly and PCB soldering experience., • Excellent verbal and written communication skills., • Strong attention to detail and organizational abilities., • Effective time management and prioritization skills., • Eagerness to learn and take on increasing responsibilities over time., • Associate's or Bachelor's degree in an engineering discipline, or equivalent industry experience.Bonus Points For:, • Experience with CAD design., • Familiarity with 3D printing technologies., • Software literacy (e.g., Python scripting)., • IPC certifications (J-STD-001, IPC-A-620). Hourly Rate Range $35—$55 USD Atomic Machines is an equal opportunity employer that values diversity and does not discriminate based on characteristics protected by applicable law. We are committed to an inclusive interview experience, including for individuals with disabilities. To request an accommodation, contact rc@atomicmachines.com. To help our recruiting team manage application volume and respond to candidates more efficiently, Atomic Machines may use AI-assisted tools.

Job DescriptionAbout Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com. Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: • Business Insider named us an "enterprise startup to bet your career on", • Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world, • Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America, • Quartz ranked us the #1 best company for remote workersThe Opportunity We are hiring a Field CTO to serve as the most senior technology voice to our largest customers, prospects, and the market. The Field CTO is a C-suite-caliber technology executive who operates as a peer to the CIOs, CTOs, and CDOs of our Fortune 500 customers and a credible presence in their boardrooms. You are not a pre-sales architect with a bigger title. You are an executive who has sat in their chair: you have owned enterprise technology budgets of $50M+, presented to Boards, and made the platform, vendor, and transformation investment decisions our customers' CIOs face today. You know firsthand why those bets succeed or stall. You will shape how the world's largest enterprises adopt agentic AI and automation at scale, translating Workato's platform vision into boardroom-ready strategy, influencing executive committees, and bringing field intelligence back to inform Workato's product roadmap and go-to-market strategy. Success in this role is measured by your ability to build trusted executive relationships, influence strategic customer outcomes, accelerate enterprise platform adoption, and position Workato as the category leader in enterprise AI and automation. What You'll Own • Trusted Advisor to the C-Suite. Serve as the senior technology counterpart to CIOs, CTOs, CDOs, and Boards at our top strategic accounts. Lead executive briefings, advisory councils, strategic visioning sessions, and architecture reviews that shape multi-year transformation roadmaps., • Boardroom Engagement. Present to customer Boards and executive committees on AI execution strategy, agentic operating models, governance, and the economics of enterprise automation. Build alignment across business and technology stakeholders so organizations can make complex transformation decisions with confidence., • Strategic Deal Acceleration. Partner with Sales leadership on Workato's largest, most strategic, and most complex enterprise pursuits. Strengthen executive sponsorship, expand the strategic scope of opportunities, and unlock seven- and eight-figure platform investments., • Transformation Strategy. Advise customers on enterprise AI adoption, intelligent automation, modern integration architecture, governance models, and organizational readiness. Help executive teams define pragmatic roadmaps that extend beyond implementation toward sustainable business transformation., • Voice of the Market. Serve as a primary spokesperson at industry events (including Gartner symposia and leading industry summits), analyst briefings, executive forums, and customer advisory councils. Author keynotes, executive point-of-view papers, and strategic content that establish Workato as the definitive leader in enterprise AI execution., • Product & Strategy Influence. Translate field signals into direct input to the CEO, CPO, CTO, and Product organization on roadmap priorities, platform strategy, competitive positioning, and emerging customer requirements, including Enterprise MCP, agentic AI frameworks, and governance., • Field Enablement. Coach Solutions Engineering, Customer Success, and Sales leadership on executive engagement, strategic technology positioning, and boardroom storytelling. Build repeatable frameworks that scale Workato's executive motion.Who You Are You are a rare profile: an enterprise operator with genuine commercial range. You have led transformation inside a Fortune 500 organization, and you know how to represent a platform to executive buyers, whether you built that muscle on the vendor side or by carrying your own company's capabilities to its largest customers. You understand how executive technology decisions are made, how enterprise transformation succeeds, and what it takes to create lasting business value. • Enterprise Chief Information Officer (CIO) or Chief Technology Officer (CTO) experience at a Fortune 500 / Global 2000 organization, with ownership of enterprise architecture, application portfolios, technology strategy, and transformation at scale., • Commercial experience on either side of the table. Strongly preferred: executive-level experience at an enterprise software vendor selling into the Fortune 500 (iPaaS, AI/ML, cloud platforms, data, ERP, or adjacent infrastructure). Also compelling: a customer-facing operator role in which you regularly represented your company's products, platform, and capabilities to enterprise customers, advisory boards, and industry analysts. Either way, you understand how executive buying decisions are made., • 15+ years of senior technology leadership, including 5+ years at the C-suite or equivalent executive level., • Deep fluency in enterprise integration architecture, AI and agentic systems, data platforms, cloud architecture, and the modern enterprise application ecosystem (Salesforce, SAP, Workday, ServiceNow, NetSuite, Oracle, Microsoft)., • Demonstrated success leading large-scale digital transformation with measurable business outcomes., • A compelling storyteller and communicator, with executive presence proven through Board work, public speaking, analyst engagement, media, or published thought leadership., • Comfortable operating in ambiguity, influencing without formal authority, navigating matrixed organizations, and moving at the pace of a high-growth platform company., • Naturally curious and commercially minded, energized by helping customers solve complex strategic challenges, with the judgment and executive maturity the world's largest enterprises expect.Location & Travel, • Remote, based anywhere in the United States (proximity to a major airport hub strongly preferred)., • Approximately 60% travel to customer sites, executive briefing centers, industry events, and Workato headquarters.What Success Looks Like Within your first year, you are a trusted advisor to Workato's most strategic customers: leading executive strategy engagements, shaping transformational AI and automation initiatives, influencing the direction of major enterprise opportunities, and strengthening Workato's relationships with senior technology leaders. You contribute directly to product strategy through market intelligence and executive customer feedback, and you represent Workato as a recognized thought leader in enterprise AI and automation. What We Offer A platform-defining role at the most strategic moment in enterprise software in a generation. Direct visibility to and influence with Workato's CEO and executive team. Compensation commensurate with C-suite executive talent - competitive base, performance incentives, and meaningful equity. The opportunity to shape the category that will define how the Fortune 500 operates for the next decade. REQ ID: 2868

Job Description Atomic Machines is building the Matter Compiler™, the first in a new class of AI-native, all-digital manufacturing systems that build working machines directly from code. The Matter Compiler (MC) is aimed at micro-machines: motors and gears the size of a grain of sand, robots small enough to work inside the body, cooling built directly into the chips that run AI, and the many devices like them that have been waiting on a way to build them. Its first product is PrimeSwitch™, an electromechanical power relay the size of a button battery that carries 150 amps continuous current and opens in 50 microseconds, about a thousand times faster than a conventional contactor. Founded by Jeff Holden — serial entrepreneur, ex-Amazon SVP and Uber's first Chief Product Officer — the company has raised $250 million to date. Atomic Machines is based in the San Francisco Bay Area, with offices in Emeryville and Santa Clara. About The Role: As COO, you are accountable for turning the Matter Compiler into a manufacturing business. You will set the strategy for and lead the organization that designs, builds, and operates a new generation of fully autonomous commercial fabs, and you will be responsible for delivering the production capacity that Atomic Machines' growth plan depends on. You will build and lead the leadership team across Manufacturing Engineering, Supply Chain, Shipping/Receiving, Fab Operations, Real Estate & Facilities, Manufacturing Partnerships, Final Assembly & Test, Quality & Reliability, ERP Systems and Foundry Services. You will make the major capital, site, and partnership decisions that determine how fast and how reliably we can scale, including which contract manufacturers we utilize and how much capacity we build in-house versus with partners. The Matter Compiler enables a truly AI-native fab that is modular, fully autonomous, and 100% digital. Many traditional manufacturing patterns will not apply: the extremely high degree of automation, the high-mix/high-volume interchangeability, the deterministic process control, the real-time nature of the MC, and our approach to input materials. This leader must bring both a deep understanding of manufacturing and operations theory and practice and first-principles thinking, because we are charting significant new territory in advancing humanity's command of matter. You will define what operational excellence looks like for a kind of factory that has never existed. You will also lead the People function, including Talent Acquisition, People Partnerships & Organizational Effectiveness, People Operations, and Compensation & Benefits. You will be accountable for the organizational strategy that lets Atomic Machines scale: how we plan headcount against the production ramp, how we structure and level the company, how we pay, and how we keep the hiring bar and culture intact across Santa Clara, Emeryville, and each new fab as it comes online. As a member of the executive team reporting to the CEO, you will partner closely with Jeff on company strategy, operating cadence, annual planning and budgets, and represent operations to the board, customers and key partners. What You'll Do: Manufacturing & Fabs • Own the design and operation of our commercial fabs, including all building infrastructure and non-Matter Compiler equipment selection (power, electrical, gas generation and distribution, fluid distribution, cooling systems, layout of MC Lattices and autonomous inbound/outbound systems) as well as all logistics and labor related to fab operations., • Lead site selection and build-out so fabs come online on time and in spec relative to forecasted demand., • Own all contract manufacturing relationships for production MC equipment builds and scaling, and extend the CM network by identifying, vetting, and engaging new partners., • Stand up, operate, and scale our internal Final Assembly & Test function for all MC equipment., • Establish economic, resilient supply for all materials and components. Own all supplier and OEM relationships, and set and enforce quality and reliability standards., • Manage inventory of raw materials, MC components, and finished MC equipment. The real-time manufacturing and generative AI design aspects of the MC challenge norms here., • Build the framework for managing key manufacturing metrics across the organization: yield, throughput, quality, cost, and uptime., • Partner with Engineering to enhance and extend the MC's capabilities. People & Organization • Own workforce planning tied directly to fab bring-up and the production ramp, so hiring is never the bottleneck on manufacturing capacity., • Lead Talent Acquisition at scale, increasing hiring velocity without lowering the bar., • Design org structure, leveling, and career paths for roles that do not yet exist in traditional manufacturing., • Own compensation, equity, and benefits philosophy and execution., • Build manager capability and a performance system that rewards first-principles thinking and ownership., • Sustain one Atomic Machines culture across Santa Clara, Emeryville and each new fab as it comes online. Running the Company • Partner with the leadership team on business process development and deployment, operating cadence, annual planning and budgets., • Atomic Machines is a narrative-based culture, so it is important to be a strong writer who can articulate strategies and initiatives crisply to drive alignment in the organization and to inspire teams, partners, and customers., • Translate company goals into operating plans with clear owners and metrics and establish strong control loops around key work., • Ensure a healthy and safe work environment and compliance with federal and state regulations, including employment law.What You'll Need:, • 15+ years in manufacturing and operations leadership, including executive ownership of highly automated manufacturing at scale and direct experience designing, building, and operating a manufacturing facility., • Prior experience as a COO, GM, or equivalent executive accountable for multiple functions, ideally at a hardware company scaling from early production to volume., • Experience leading or owning the People function, or a track record of building organizations through rapid headcount growth in close partnership with People., • Experience owning budgets and capital plans of $100M+ and making major site, capacity, and build-versus-partner decisions., • A robust network and nuanced understanding of the manufacturing industry and its players, with a record of establishing contract manufacturing partnerships at scale., • A track record of hiring and developing strong leadership teams and building operationally excellent cultures., • Comfort representing operations to a board, customers, and strategic partners., • First-principles thinking: starting from a deep understanding of the problem rather than pattern matching to industry norms, and comfort challenging the status quo when the math or physics points to a better way., • Excellent communicator: articulate, clear, concise., • High EQ and real strength in working with people; inspirational and motivational., • BS, MS, or PhD in Mechanical Engineering, Electrical Engineering, Physics, or another rigorous engineering discipline.Compensation: Base salary range starts at $350,000 annually, is based on experience, and includes equity and benefits. Atomic Machines is an equal opportunity employer that values diversity and does not discriminate based on characteristics protected by applicable law. We are committed to an inclusive interview experience, including for individuals with disabilities. To request an accommodation, contact rc@atomicmachines.com. To help our recruiting team manage application volume and respond to candidates more efficiently, Atomic Machines may use AI-assisted tools.

Job Description Hi Mindsource is seeking a Data Engineer for one of our Direct Clients based in Silicon Valley . If interested, please drop your resume to akhil@mindsource.com Title: Lead GenAI Engineer (Senior Role) Bay Area preferred, with ability to work from the office 1–2 days per week Contract to Hire Focus: Agentic Content-Application Architecture and Orchestration The goal is to design and build a stateful, headless GenAI application that helps commercial marketers create grounded and personalized content. The application will coordinate multiple agents and enterprise services, maintain conversational and project state, and generate structured JSON or HTML content blueprints that downstream platforms can assemble into finished assets. This is a hands-on senior contractor who must propose the architecture, make key technical decisions and code critical components—not a coordination-only lead. Minimum capabilities Significant hands-on experience architecting and building production GenAI applications Strong Python or TypeScript software engineering and microservices experience Experience designing stateful, multi-turn and multi-agent orchestration Strong API-first architecture and structured-contract design experience Experience building headless services that produce structured outputs for downstream applications Experience integrating GenAI applications with enterprise platforms, data services and content repositories Experience with RAG, grounding, application state, memory, evaluations and production observability Experience building streaming, multi-turn GenAI interfaces with clarification flows, conversation history and error handling Experience rendering structured responses, including tables, charts, citations and reusable results Ability to propose architecture, establish coding patterns, make technical decisions and review other engineers' work, and produce production code Strong AWS, Amazon Bedrock and AgentCore experience Preferred Experience with content generation, content-as-code, personalization or marketing-technology platforms Experience with Workfront, Veeva Vault PromoMats, AEM Assets or comparable enterprise content systems Experience in commercial pharma or another regulated content environment

Do you have experience working in a customer facing role? Are you interested in working in the construction/temporary power industry? Do you enjoy becoming an expert in your field and representing your team? If so, we should talk. We are Power Plus! A multi-industry leader in providing power when you need it, where you need it through intelligent and efficient power solutions. We work with Fortune 500 companies across the country such as Amazon, Wal-Mart, Costco, and more. We've built a 35-year reputation for excellence through our commitment to developing our people, providing exceptional, relationship-based customer service, and giving back to the community. Our biggest differentiator is the quality of our people, and the working environment we create for them, which really has to be seen to be believed. Benefits: • Medical, • Dental, • Vision, • Training and mentoring, • 401(k) with matching, • Paid sick leave, • Paid vacation The Construction Project Coordinator coordinates onsite temporary power installation from initial quoting through installation by providing technical expertise to estimate time and materials, provide site layout and design, and remain a point of contact for production crews and the superintendent throughout the completion of the job. This position requires an independent individual with strong organizational skills, customer service skills, and who is a team player. Job Responsibilities: • Represent Power Plus as the expert in the temporary utilities field and serve as the customer's primary technical representative., • Provide ongoing technical support to the Sales team for new and existing accounts., • Represent all of Power Plus's product lines and experience for new or present customers., • Make technical visits on behalf of Power Plus, to technical groups at various customers, potential customers, and other organizations., • Gather information from potential customers and develop products that meet customer needs., • Communicates with people on all levels in a multitude of organizations., • Follow up on all jobs to ensure that all equipment is set in accordance with plan/contract at locations., • Accurately document and report on details from every site visit to Dispatch/Scheduler, filling out tickets, highlighting maps and reviewing tickets with Mapper each day., • Other duties may be assigned as business needs require. Competencies/Requirements: • High school diploma / GED, • Two or more years' experience in electrical, construction or related industries, with a background knowledge of customer service/customer-facing roles., • Proficient in Microsoft Suite (Excel, Outlook, Word) and able to adapt to new technologies., • Must be a motivated team player with a focus on delivering high-level support to the team, • Strong initiative and ability to work independently, • Strong attention to detail and accuracy, especially in problem solving, • Excellent organizational and time management skills, • Ability to read, analyze, and interpret electrical theory and practical application., • Education or experience in electrical theory and design is highly preferred. Hourly Pay Range: $23.00 - $26.00 If you've always wanted to really make a difference, have your contributions mean something, and work for a place where loyalty, integrity, and hard work still means something, we want to hear from you!

The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The Acceleration Kernel Library team is at the forefront of maximizing performance for AWS's custom ML accelerators. Working at the hardware-software boundary, our engineers craft high-performance kernels for ML functions, ensuring every FLOP counts in delivering optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch, enabling unparalleled ML inference and training performance. As part of the broader Neuron Compiler organization, our team works across multiple technology layers - from frameworks and compilers to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology This is an opportunity to work on cutting-edge products at the intersection of machine-learning, high-performance computing, and distributed architectures. You will architect and implement business-critical features, publish cutting-edge research, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. It is a very unique learning culture. The team works closely with customers on their model enablement, providing direct support and optimization expertise to ensure their machine learning workloads achieve optimal performance on AWS ML accelerators. Explore the product and our history! Key job responsibilities Our kernel engineers collaborate across compiler, runtime, framework, and hardware teams to optimize machine learning workloads for our global customer base. Working at the intersection of software, hardware, and machine learning systems, you'll bring expertise in low-level optimization, system architecture, and ML model acceleration. In this role, you will: • Design and implement high-performance compute kernels for ML operations, leveraging the Neuron architecture and programming models, • Analyze and optimize kernel-level performance across multiple generations of Neuron hardware, • Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks, • Implement compiler optimizations such as fusion, sharding, tiling, and scheduling, • Work directly with customers to enable and optimize their ML models on AWS accelerators, • Collaborate across teams to develop innovative kernel optimization techniques A day in the life As you design and code solutions to help our team drive efficiencies in software architecture, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You'll also: Build high-impact solutions to deliver to our large customer base. Participate in design discussions, code review, and communicate with internal and external stakeholders. Work cross-functionally to help drive business decisions with your technical input. Work in a startup-like development environment, where you're always working on the most important stuff. About the team Amazon Diverse Experiences values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Inclusive Team Culture Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. BASIC QUALIFICATIONS • 3+ years of non-internship professional software development experience, • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience, • Experience programming with at least one software programming language PREFERRED QUALIFICATIONS • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience, • Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 165,200.00 - 223,600.00 USD annually