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What You Will Do Clarios is seeking a Decision Intelligence Product Manager responsible for overseeing the development and delivery of products that enable business users to make smarter decisions using data, automation, and AI. This position connects business strategy, data, and technology to ensure decision intelligence solutions can support, augment, and automate decision-making across operational, tactical, and strategic levels. This role requires a team member who leads by example, is confident, perseverant, inspirational, disciplined and dependable. In addition, this individual needs to be highly collaborative, a strong communicator and always on the lookout for continuous improvement opportunities. This will be onsite in Milwaukee, WI 3 days a week. How You Will Do It Product Strategy & Vision - Establish and communicate the vision, strategy, and roadmap for decision intelligence products. Align product objectives with business goals and stakeholder requirements across departments. Incorporate 'human in the loop', 'human on the loop', and 'human out of the loop' functionalities based on business and technology maturity. Evangelize Decision Intelligence - Serve as a thought leader and advocate for decision intelligence across the organization. Promote awareness, understanding, and enthusiasm for decision intelligence products through demos, workshops, and storytelling. Partner with change management and communications teams to drive cultural adoption of data-driven decision-making. Digitize Decision Frameworks - Lead efforts to digitize core business decision frameworks, enabling consistent, scalable, and transparent decision-making processes. Stakeholder Engagement - Collaborate with business leaders and regional IT peers to identify challenges and opportunities in decision-making. Convert business needs into product features and technical specifications. Product Management - Represent customer perspectives and lead the decision intelligence product team through the product lifecycle, including ideation, launch, and iteration. Rank features and improvements according to impact, feasibility, and user feedback. Ensure timely delivery of solutions that achieve targeted business results. User Experience & Adoption - Design user interfaces that facilitate complex decision processes and provide necessary explainability for users. Encourage adoption through training, documentation, and ongoing enhancements. Data & AI Integration - Coordinate with data engineering teams to maintain a unified data infrastructure connecting sources, business logic, and analytical models. Collaborate with data science teams to incorporate predictive models, optimization algorithms, and other AI capabilities into decision workflows. Promote data visualization, scenario modeling, and simulation tools for informed decision-making. Performance & Impact Measurement - Set KPIs and success metrics for decision intelligence products. Record decisions and outcomes to support continuous learning and development. Track usage, performance, and business impact and adjust as needed In order to succeed in this role, the individual must have a sound knowledge of creating business values, in addition to internal business acumen that complement the work. Strategic Thinking: Demonstrates the capability to connect product vision with overarching business strategy and long-term organizational objectives. Business Acumen: Possesses comprehensive expertise in operational, financial, and strategic decision-making processes. Decision Modeling: Proficient in applying frameworks for evaluating business decisions and forecasting outcomes. Communication & Influence: Excels in storytelling, stakeholder engagement, and change management. Product Management: Experienced in agile methodologies, backlog prioritization, and effective cross-functional collaboration. User-Centric Design: Dedicated to delivering intuitive and impactful user experiences. Innovation & Evangelism: Committed to promoting adoption and fostering a culture of data-driven decision-making. Data Literacy: Advanced knowledge of data, analytics, and AI/ML technologies. Stakeholder Management: Skilled at aligning diverse stakeholder groups around a unified vision. Results Orientation: Results-driven and pragmatic, demonstrating a proactive approach to achieving measurable outcomes and overcoming obstacles. Collaboration: Strong ability to build partnerships and collaborate effectively with colleagues to achieve shared goals. What We Look For 8+ years of experience in an agile environment, operating as a product manager 8+ years of data/analytics/AI-related work experience in a corporate/ manufacturing environment preferred. Experience with agile tools (e.g., JIRA, Azure DevOps, ). Knowledge of decision intelligence product or platform is a strong plus. Ability to lead initiatives, manage projects, and work in a matrix environment with multiple IT, Analytics and business user groups Sound analytical abilities and business sense, with experience building out business cases for capital funding. Demonstrated high energy level and the drive required to proactively lead activities within a dynamic business environment. Hands-on style and willingness to perform a range of detailed work. The motivation, adaptability, and professional qualities to work well with individuals in multiple disciplines and across global organizations. Microsoft Office proficient, familiarity with Teams using video and audio technology Ability to understand business goals and recommend new approaches and procedures Ability to travel up to 10% What you get: Medical, dental and vision care coverage and a 401(k) savings plan with company matching - all starting on date of hire Tuition reimbursement, perks, and discounts Parental and caregiver leave programs All the usual benefits such as paid time off, flexible spending, short-and long-term disability, basic life insurance, business travel insurance, and Employee Assistance Program Global market strength and worldwide market share leadership HQ location earns LEED certification for sustainability plus a full-service cafeteria and workout facility Clarios has been recognized as one of 2025's Most Ethical Companies by Ethisphere. This prestigious recognition marks the third consecutive year Clarios has received this distinction. Who we are: Clarios is the force behind the world's most recognizable car battery brands, powering vehicles from leading automakers like Ford, General Motors, Toyota, Honda, and Nissan. With 18,000 employees worldwide, we develop, manufacture, and distribute energy storage solutions while recovering, recycling, and reusing up to 99% of battery materials-setting the standard for sustainability in our industry. At Clarios, we're not just making batteries; we're shaping the future of sustainable transportation. Join our mission to innovate, push boundaries, and make a real impact. Discover your potential at Clarios-where your power meets endless possibilities. Veterans/Military Spouses: We value the leadership, adaptability, and technical expertise developed through military service. At Clarios, those capabilities thrive in an environment built on grit, ingenuity, and passion-where you can grow your career while helping to power progress worldwide. All qualified applicants will be considered without regard to protected characteristics. Equal Employment Opportunity: We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please apply. Diversity of experience and skills combined with passion is key to challenging the status quo. Therefore, we encourage people from all backgrounds to apply to our positions. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, status as a protected veteran or other protected characteristics protected by law. As a federal contractor, we are committed to not discriminating against any applicant or employee based on these protected statuses. We will also take affirmative action to ensure equal employment opportunities. Please let us know if you require accommodations during the interview process by emailing . We are an Equal Opportunity Employer and value diversity in our teams in terms of work experience, area of expertise, and all characteristics protected by laws in the countries where we operate. For more information on our commitment to sustainability, diversity, and equal opportunity, please read our latest report . We want you to know your rights because EEO is the law. A Note to Job Applicants: please be aware of scams being perpetrated through the Internet and social media platforms. Clarios will never require a job applicant to pay money as part of the application or hiring process. To All Recruitment Agencies: Clarios does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Clarios employees or any other company location. Clarios is not responsible for any fees related to unsolicited resumes/CVs.

Overview At Databricks, we are passionate about helping data teams solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers and dedicated to our customers, we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for working with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Impact You Will Have Work with a team to build features and improve architecture for the Databricks platform Develop and extend the Databricks product Own full software development lifecycle: design, development, testing, and operating in production Build solutions with a high level of reliability, scalability, and security. What We Look For You will graduate between fall 2025 and summer 2026 with a degree in Computer Science, Engineering, or related subject You have implementation skills with a general purpose program language, such as Python, Java, or C++ You have knowledge of algorithms, data structures, and OOP principles You have experience managing end-to-end projects We are hiring Software Engineer - New Grads across multiple offices. Please apply for the single location that you're the most interested in, and we will discuss more with you as you move through the process. We can only consider one application in 30 days. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Location San Francisco (hybrid), Toronto (hybrid) Employment Type Full time Location Type Hybrid Department Data Science Compensation San Francisco: $176K - $265K • Offers Equity Toronto: CA$147K - CA$220K • Offers Equity The salary range provided reflects the compensation that EvenUp reasonably expects to offer for this role. The specific salary within this range will be determined based on various factors, including the candidate's relevant experience, education, skills, location, and alignment with the role's responsibilities. EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more. We are one of the fastest-growing vertical SaaS companies in history, and we are just getting started. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at . About the team: At EvenUp, we leverage cutting-edge AI to bring fairness and accessibility to the legal system. Tackling the most complex legal document challenges requires expertise in data quality, robust model development, and ongoing innovation. We are looking for a curious, impact-driven early career Machine Learning Engineer eager to join EvenUp's mission. You'll develop and deploy models that power Piai, our proprietary claims-intelligence platform, with a focus on machine learning, natural-language processing, and generative AI. Working alongside senior ML engineers, data scientists, and legal subject-matter experts, you'll turn raw legal and medical data into production-ready models that directly improve justice for personal-injury clients. Core Responsibilities Design and implement end-to-end ML systems for retrieval-augmented generation (RAG), vector search, and fine-tuning pipelines. Build and optimize data pipelines that integrate structured, unstructured, and embeddings-based data into ML workflows. Develop frameworks and reusable components for data extraction, evaluation, and benchmarking of LLMs and other models. Collaborate with data scientists and product teams to translate business problems into ML system designs. Research, prototype, and productionize state-of-the-art techniques in semantic search, embeddings, and prompt engineering. Implement evaluation strategies for ML systems, including relevance metrics, quality scores, and human-in-the-loop workflows. Ensure scalability and efficiency of ML workflows, including large-scale embedding generation and retrieval pipelines. Work with machine learning platform engineers to integrate ML frameworks into production environments. Document system architectures and create internal best practices for building ML/AI frameworks. Optional Skills Experience with vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus, Elasticsearch/OpenSearch). Familiarity with retrieval frameworks (LangChain, LlamaIndex, custom retrieval pipelines). Strong software engineering skills (Python, distributed computing, APIs). Strong knowledge of transformer models (LLMs, embeddings, fine-tuning methods like LoRA, PEFT). Understanding of evaluation methodologies for generative AI (RAG benchmarks, hallucination reduction, factual grounding). Notice to Candidates: EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team - please know that we have no affiliation or connection to these situations. We only post open roles on our career page () or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the or no email addresses. To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you're interested in a role, please submit your application directly through our careers page. If you receive communication from someone you believe is impersonating EvenUp, please report it to us at . Examples of fraudulent domains include and . Benefits & Perks: As part of our total rewards package, we offer attractive benefits and perks to our employees, including: Choice of medical, dental, and vision insurance plans for you and your family Additional insurance coverage options for life, accident, or critical illness Flexible paid time off, sick leave, short-term and long-term disability 10 US observed holidays, and Canadian statutory holidays by province A home office stipend 401(k) for US-based employees and RRSP for Canada-based employees Paid parental leave A local in-person meet-up program Hubs in San Francisco and Toronto Note: These benefits & perks apply to full-time employees. EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Compensation Range: $176K - $265K

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Location: Waltham, MA - Salary: $125,000.00-$165,000.00 Senior Technical Consultant In this role, you will be engaging with our customers post-sales to develop software solutions on the Appian platform. These applications help companies drive digital transformation and competitive differentiation. Your primary responsibility will be to help lead projects and work throughout the entire project life cycle to define, design, develop and implement custom software solutions using Appian's low code platform for our commercial clients. This includes working within an agile environment to understand our client's business processes and technical needs, launch new relational data models in production, develop APIs to integrate with multiple systems, and lead/mentoring consultants through fast paced software implementations. You will also collaborate with client's technical teams and business users as needed throughout the entire software and development life cycle and drive adoption by empowering clients to become self sufficient with building process applications on their own. To Be Successful In This Role Passion for mentoring/developing others and experience leading small teams through post sale software implementation Ability to work with clients to define business processes and gather functional and technical system requirements Excellent communication skills, passion for technology and continuous learning, and affinity for asking "why" and solving the right problems History of success on cross functional teams; experience building products using agile methodologies (pair programming, stand ups, planning sessions, and sprints) Basic understanding of object oriented programming, experience working with relational databases and database design/data modeling, and SQL skills (writing queries, joins, views, etc) Knowledge of software testing practices (test driven development, automated test suites within a continuous integration framework); integrations experience using APIs such as REST and SOAP, JDBC connections, and web services; familiarity with Amazon Web Services (AWS), Artificial Intelligence (AI), Analytics, Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management & Governance, and Elastic Containers (preferred) Basic Qualifications 3+ years of experience with hands on software development or technical consulting B.S./B.A. in Engineering, Computer Science, Information Systems, Mathematics or related field/degree Willingness to travel; 20% to support customer engagement Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. About Appian Appian is a software company that automates business processes. The Appian AI Powered Process Platform includes everything you need to design, automate, and optimize even the most complex processes, from start to finish. The world's most innovative organizations trust Appian to improve their workflows, unify data, and optimize operations-resulting in better growth and superior customer experiences. For more information, visit Nasdaq: APPN Equal Opportunity Employer Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at . Appian's Applicant & Candidate Privacy Notice applies.

Machine Learning Engineer role at PitchBook Get AI-powered advice on this job and more exclusive features. At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We're deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company. Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there's going to be some ambiguity along the way, but we excel when we challenge ourselves. We're willing to take risks, fail fast, and do it all over again in the pursuit of excellence. If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you. About the Role As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation. We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other's words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us! As a Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a critical role in delivering AI-powered features that extract meaningful insights from PitchBook's wealth of structured and unstructured data including reports, news, and other textual content. This role requires deep technical expertise in advanced data analytics and machine learning, as well as a hands on approach to designing, building, and optimizing ML solutions that power user facing features on the PitchBook Platform. You will be deeply involved in the end to end development and operationalization of ML models, including their architecture, training, deployment, and ongoing maintenance. Your focus will span across natural language processing (NLP), generative AI (GenAI), large language models (LLMs), and scalable data systems. You will be expected to tackle complex technical challenges, contribute to architectural decisions, and collaborate closely with other engineers, data scientists, and product managers to ensure that your work aligns with business goals and AI/ML strategy. Your contributions will help unlock unique value for PitchBook customers by improving the speed, discoverability, quality, and quantity of insights available on the platform. This includes developing models that can infer meaning and structure from millions of discrete data sources and applying ML to enrich our datasets with predictive and generative intelligence. Primary Job Responsibilities Deliver high-impact AI and ML capabilities that drive insight generation on the PitchBook Platform. Ensure your work contributes to broader business goals and is aligned with the team's strategic priorities. Provide hands on expertise in designing, building, and deploying AI/ML models and services with a focus on NLP, summarization, semantic search, classification, and prediction. Contribute to the development of scalable, high performance systems that meet production grade reliability and efficiency standards. Contribute to a culture of technical excellence by sharing knowledge, pairing with teammates, and actively participating in code and design reviews. Provide situational guidance to junior engineers and contribute to team best practices. Build and optimize models that leverage classifiers, transformers, LLMs, and other NLP techniques to generate meaningful insights from structured and unstructured data. Integrate these models into the broader AI/ML infrastructure in collaboration with partner teams. Collaborate with engineering, product management, and data collection teams to ensure models are informed by high quality data and support strategic product goals. Explore and experiment with emerging technologies, methodologies, and tools in the fields of GenAI, NLP, and search. Translate research findings into practical solutions that enhance PitchBook's AI capabilities. Contribute to best practices in model transparency, monitoring, evaluation, and compliance. Help maintain high standards of security, data integrity, and responsible AI use across your projects. Participate in the technical evaluation of candidates and help onboard new team members by contributing to documentation, pairing, and knowledge sharing practices. Apply principles from Agile, Lean, and Fast Flow methodologies to support efficient model development and deployment cycles. Support the vision and values of the company through role modeling and encouraging desired behaviors. Participate in various company initiatives and projects as requested. Skills and Qualifications Bachelor's degree in Computer Science, Mathematics, Data Science, or related technical field; advanced degrees are preferred. 2+ years of experience in software engineering or machine learning engineering, with a strong focus on AI/ML applications in insight generation, summarization, semantic search, and prediction. Demonstrated expertise in natural language processing (NLP) and machine learning, including hands on experience with classifiers, transformer models, large language models (LLMs), and widely used ML and data science libraries such as scikit-learn, pandas, numpy, TensorFlow, and PyTorch. Experience delivering production grade GenAI or LLM based systems with measurable business impact. Familiarity with the LangChain ecosystem, including tools such as LangSmith and LangGraph, and experience using them in production environments is a strong plus. Proficiency in building and maintaining scalable data pipelines and distributed systems using technologies such as Apache Kafka, Airflow, and cloud data platforms like Snowflake. Strong programming skills in Python and SQL, with working knowledge of additional languages such as Java or Scala considered a plus. Practical experience with cloud native development, containerization, and orchestration technologies such as Docker and Kubernetes. Demonstrated ability to solve complex technical problems, contribute to architectural decisions, and deliver high performance, reliable solutions. Excellent communication and collaboration skills, with experience working cross functionally with product managers, engineers, and data scientists in globally distributed teams. Experience working in fast paced, data driven environments. Prior exposure to fintech or financial data platforms is a strong advantage. Experience authoring research papers for peer reviewed AI/ML conferences (e.g., NeurIPS, ICML, ACL) and participating in the broader AI research community is strongly preferred. Must be authorized to work in the United States without the need for visa sponsorship now or in the future. Benefits + Compensation at PitchBook Physical Health Comprehensive health benefits Additional medical wellness incentives STD, LTD, AD&D, and life insurance Emotional Health Paid sabbatical program after four years Paid family and paternity leave Annual educational stipend Ability to apply for tuition reimbursement CFA exam stipend Robust training programs on industry and soft skills Employee assistance program Generous allotment of vacation days, sick days, and volunteer days Social Health Matching gifts program Employee resource groups Subsidized emergency childcare Dependent Care FSA Company wide events Employee referral bonus program Quarterly team building events Financial Health 401k match Shared ownership employee stock program Monthly transportation stipend Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment. Compensation Annual base salary: $125,000-$180,000 Target annual bonus percentage: 10% Working Conditions Our culture is built on spontaneous moments-those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices-that simply can't be replicated remotely. This role is expected to be in the office 5 days a week. The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events. Life At PB We are consistently recognized as a Best Place to Work and our culture is at the heart of our success. It's our fundamental belief that people do and create great things and that people are the cornerstone of prosperity. We believe that proactively seeking out different points of view, listening to others, learning . click apply for full job details

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. At Amazon, we're working to be the most customer-centric company on earth! Amazon is a place where builders can build. We hire the world's brightest minds and offer them an environment in which they can invent and innovate to improve the experience for our customers. If you'd like to help us build a place where you can find and buy anything online, this is the job for you. We are currently seeking a CMMS Engineer to serve as a system mater expert within Amazon data center region. Ideal candidates will posses the ability to design, develop and deploy innovative solutions to address operational challenges. This role requires both effective contributions as well as the ability to work within multi-disciplinary teams. The scope of this role will include but not limited to owning the process from start to finish with deploying the EAM platform in your data center region. Working to support local data center teams with asset collection; maintenance schedules, reporting, and training. As part of the global EAM team, you will help drive global processes and document development. This role acts as the gatekeeper for mission critical data in EAM, responsible for the accuracy and reports produced in EAM. You will be required on a frequent basis to help develop systems enhancement modules of core and advanced modules to meet Regional or Global business requirements. There will be 20% travel when launching new locations. If you are passionate about the Customer Experience, enjoy working in a diverse team and want to contribute to the operational excellence of Amazon data centers then this may be the challenge you've been looking for! Only those who have worked within a data center environment need apply. Effective May 15, 2017, logical access to the AWS GovCloud region will be restricted to Amazon employees who are U.S. Citizens. (GovCloud may NOT be accessed from outside of the United States) Key job responsibilities The CMMS Engineer will be responsible for setup and maintaining site asset data through Hexagon EAM. The engineer will work within the data centers to ensure that asset details are captured to match the digital record. They will work with corresponding teams to align and schedule maintenance within the CMMS application. The engineer will proactively perform routine data scrubs, identify and correct any anomalies, while continuously looking for ways to automate and enhance processes. They will also plan and conduct training and workshop sessions for large audiences within the organization. About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred 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. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 4+ years of Computerized Maintenance Management System (CMMS) experience - 4+ years of relevant work in a data center or other critical environment experience - 5+ years of Microsoft Office including Outlook, Word, and Excel experience - Experience with Microsoft Office including Outlook, Word, and Excel PREFERRED QUALIFICATIONS - 5+ years of Computerized Maintenance Management System (CMMS) experience - 3+ years of construction or project management experience - Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field - Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports - 5+ years working with Hexagon EAM system administration Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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, VA, Herndon - 96 300.00 USD annually

Job Summary: We are looking for a detail-oriented and technically skilled GCP Data Integration Engineer to design, develop, and manage robust data integration solutions. The ideal candidate will have hands-on experience in integrating data across disparate systems, building ETL/ELT pipelines, and ensuring the accuracy, quality, and consistency of enterprise data. You will play a key role in enabling seamless data flow between systems to support business intelligence, analytics, and operational needs. Key Responsibilities: Integration Design & Development Design and implement data integration workflows between internal and external systems, including APIs, databases, SaaS applications, and cloud platforms. Develop and maintain scalable ETL/ELT pipelines for structured and unstructured data using tools like Informatica, Talend, SSIS, Apache NiFi, or custom Python/SQL scripts. Build and manage real-time and batch data pipelines leveraging technologies like Kafka, Spark Streaming,. Data Quality & Governance Ensure high data quality, accuracy, and consistency during data ingestion and transformation. Implement data validation, cleansing, deduplication, and monitoring mechanisms. Contribute to metadata management, data lineage, and data catalog initiatives. Collaboration & Troubleshooting Collaborate with data engineers, business analysts, data scientists, and application teams to understand integration needs and deliver effective solutions. Troubleshoot and resolve data integration and pipeline issues in a timely manner. Provide documentation and knowledge transfer for developed solutions. Platform & Infrastructure Support Support data movement across hybrid environments (on-prem, cloud, third-party systems). Work with DevOps or platform teams to ensure scalability, security, and performance of data integration infrastructure. Qualifications: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field. 4-8 years of experience in data integration, data engineering, with strong ETL and SQL. Strong experience with integration tools such as Informatica, Talend, MuleSoft, SSIS, or Boomi. Proficient in SQL, Python, and scripting for data manipulation and automation. Experience with cloud data platforms (GCP) and services such as Google Cloud Dataflow. Familiarity with REST/SOAP APIs, JSON, XML , and flat file integrations. Preferred Skills: Experience with message queues or data streaming platforms (Kafka, RabbitMQ, Kinesis). Understanding of data warehousing concepts and tools (e.g., Snowflake, Redshift, BigQuery). Knowledge of data security, privacy, and compliance best practices (HIPAA, GDPR, etc.). Prior experience in industries like healthcare, fintech, or e-commerce is a plus. Soft Skills: Strong problem-solving and debugging skills. Excellent communication and collaboration abilities. Ability to manage multiple priorities and deliver in a fast-paced environment. Attention to detail and a commitment to delivering high-quality work. Seniority Level Mid-Senior level Industry IT System Data Services Employment Type Full-time Job Functions Health Care Provider Skills Representational State Transfer (REST) Software as a Service (SaaS) Google Cloud Platform

Senior Software Reverse Join to apply for the Senior Software Reverse Engineer role at STR. STR is hiring a Senior Software Reverse Engineer who has a passion for research and analysis of vulnerabilities in cyber physical systems. Work must be performed onsite. What you'll do Reverse engineering complex software or firmware targets, ranging from typical Windows/Linux binaries to embedded firmware running non-traditional computer architectures and operating systems Developing and applying automated reverse engineering and binary analysis tools to characterize protocols, interfaces, and functionality of target systems Developing innovative cybersecurity solutions Working in multi-discipline teams to tackle challenging problems from a wide variety of technologies to develop innovative cybersecurity solutions Performing vulnerability weaponization, exploit development, payload development, and exploit mitigation on a variety of challenging targets Documenting, demonstrating, and presenting research Solving real world problems that have an impact on national security Who you are This position requires an Active Top Secret (TS) security clearance, for which U.S. citizenship is needed by the U.S. Government Bachelors Degree in Computer Science, Computer Engineering, Cybersecurity or related field plus a minimum of 5 years relevant experience (MS or PhD with equivalent work experience may also be considered) Experience with binary analysis of software/firmware Experience with disassembly tools, such as IDA Pro, Binary Ninja, or Ghidra Proficiency in one or more programming languages: C/C++, Python, etc. Proficiency in one or more Assembly Languages: x86, ARM, etc. General understanding of reverse engineering fundamentals: memory layout, calling conventions, etc. Nice to haves Vulnerability research and analysis Knowledge of weaponizing discovered vulnerabilities into exploits Implant or software patch development Familiarity with binary emulation or vulnerability research, including tools such as QEMU or AFL Experience with DSP architectures, such as Texas Instruments, STMicroelectronics, NXP, or Analog Devices. Knowledge of operating system internals including memory/process/thread management Embedded systems or firmware analysis Experience development custom emulation tools to enable dynamic analysis Disassembler/decompiler module development Experience analyzing and reconstructing code/data flow Automated reverse engineering or software analysis tool development Experience debugging software without source code Knowledge of binary file structures and formats Experience analyzing protocols or message structures Knowledge of anti-reverse engineering techniques Knowledge of intrusion detection and anti-malware systems and techniques Pay Information Full-Time Salary Range: $134,000 - $184,000 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws. Seniority Level Mid-Senior level Employment Type Full-time Job Function Engineering and Information Technology Industries Technology, Information and Internet

The simple task of buying software, services, or tools at work has become hopelessly complicated at even the most innovative companies in the world. Today, enterprises spend $120T+ per year globally (>30 times larger than annual consumer e-commerce spend) and rely on vendors more than ever before to run their businesses. Our cofounders started Zip in 2020 to address this seemingly intractable problem with a purpose-built procurement platform that provides a simple, consumer-grade user experience. Within the last 4 years, Zip has created a new category and developed the leading solution in this $50B+ TAM space. Today, the world's leading companies like OpenAI, Snowflake, Anthropic, Coinbase, and Prudential rely on Zip to manage billions of dollars in spend. We have a world-class team coming from category-defining companies like Airbnb, Meta, Stripe, Salesforce, Apple, and Google. With a $2.2 billion valuation and $370 million in funding from Y Combinator, Tiger Global, BOND, DST Global, and CRV, we're focused on developing cutting-edge technology, expanding into new global markets, and-above all-driving incredible value for our customers. Join us! Please note we are looking for someone who is willing and able to come into our downtown San Francisco office on a hybrid basis (3 days / week). Your Role As a Senior Product Manager for App Studio and Marketplace, you will own the end-to-end strategy, roadmap, and execution for Zip's App Studio (Zip's proprietary low-code integration and agent workflow builder) and the emerging Marketplace. You will shape the platform that powers how Zip connects to 3rd party systems; define how partners and customers build, deploy, and extend integrations; and drive an ecosystem that accelerates value for our largest enterprise customers. This is a highly cross-functional and technically deep role responsible for advancing our low-code integration platform, enabling partner-built templates, and establishing Zip's Marketplace as a core product differentiator. You will work closely with Engineering, Design, Technical Solutions Consulting, Implementation Partners, and GTM leadership to deliver a platform that is reliable, scalable, configurable, and AI-augmented. You Will Define and lead the product strategy for App Studio and the Marketplace - advancing App Studio toward a mature iPaaS-like platform while building and scaling the Marketplace ecosystem to enable partners and third-party developers to create connectors, templates, and applications. Translate complex problems into intuitive, repeatable, and low-code/AI-assisted configuration experiences for partners, builders, and customers. Collaborate deeply with engineering and design to define requirements, provide product direction, make tradeoffs, and deliver high-quality platform capabilities and UX. Partner with Technical Solutions Consultants and Partners to understand real-world integration patterns, identify reusable components, and increase build-time efficiency. Lead product discovery through customer and partner research, data analysis, and competitive intelligence across leading iPaaS and workflow automation platforms. Enable internal and external stakeholders (Sales, TSC, partners) with documentation, best practices, enablement guides, and solution blueprints. Your Qualifications 4-8+ years of Product Management experience, including 2+ years building platforms in at least one of the following domains: integrations, workflow automation, iPaaS, low-code/no-code builders, or developer platforms. Deep understanding of enterprise integration patterns (APIs, webhooks, event frameworks, data transformation, error handling, OAuth/credential flows, schema mapping). Demonstrated ability to ship high-scale platform capabilities with strong technical intuition and fluency in system architecture and data flows. Experience building marketplaces, partner ecosystems, or extension frameworks where external developers build on top of the platform. Strong ability to translate complex technical concepts into intuitive product experiences for both technical and non-technical users. Proven track record of leading cross-functional initiatives, influencing without authority, and driving alignment across engineering, design, sales, customer teams, and partner teams. Exceptional written and verbal communication skills, with the ability to tailor messaging and level of detail to diverse technical and non-technical audiences. Bias to action, comfort with ambiguity, and ability to operate in a fast-growing, rapidly evolving environment. Bonus Experience with ERP or finance/procurement systems (SAP, Oracle, Workday, NetSuite, MS Dynamics) is preferred. Experience with AI-assisted tooling (e.g., generative configuration, automated mapping) is a plus. The salary range for this role is $190,000 - $220,000. The salary for this position is determined based on a variety of job-related factors that may include location, relevant experience, education, or particular skills and expertise. Perks & Benefits At Zip, we're committed to providing our employees with everything they need to do their best work. ? Start-up equity ? Full health, vision & dental coverage ?️ Catered lunches & dinners for SF employees ? Commuter benefit ? Team building events & happy hours ? Flexible PTO ? Apple equipment plus home office budget ? 401k plan We're looking to hire Zipsters and that means hiring people who take ownership, communicate openly, have an underdog mindset, and are excited to increase the pace of innovation for every business in the world. We encourage all candidates to apply even if your experience doesn't exactly match up to our job description. We are committed to building a diverse and inclusive workspace where everyone (regardless of age, religion, ethnicity, gender, sexual orientation, and more) feels like they belong. We look forward to hearing from you!

Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We are looking for a Technical Cyber Threat Investigator to join our Threat Intelligence team. In this role, you will be responsible for detecting, investigating, and disrupting the misuse of Anthropic's AI systems for malicious cyber operations. You will work at the intersection of AI safety and cybersecurity, conducting thorough investigations into potential misuse cases, developing novel detection techniques, and building robust defenses against emerging cyber threats in the rapidly evolving landscape of AI-enabled risks. Your work will directly protect the broader ecosystem from sophisticated threat actors who seek to leverage AI technology for harm. Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Responsibilities Detect and investigate attempts to misuse Anthropic's AI systems for cyber operations, including influence operations, malware development, social engineering, and other adversarial activities Develop abuse signals and tracking strategies to proactively detect sophisticated threat actors across our platform Create actionable intelligence reports on new attack vectors, vulnerabilities, and threat actor TTPs targeting LLM systems Conduct cross-platform threat analysis grounded in real threat actor behavior, using open-source research, dark web monitoring, and internal data Utilize investigation findings to implement systematic improvements to our safety approach and mitigate harm at scale Study trends internally and in the broader ecosystem to anticipate how AI systems could be misused, generating and publishing reports Build and maintain relationships with external threat intelligence partners, information sharing communities, and government stakeholders Work cross-functionally to build out our threat intelligence program, establishing processes, tools, and best practices You may be a good fit if you Have demonstrated proficiency in SQL and Python for data analysis and threat detection Have experience with large language models and understanding of how AI technology could be misused for cyber threats Have subject matter expertise in abusive user behavior detection, such as influence operations, coordinated inauthentic behavior, or cyber threat intelligence Have experience tracking threat actors across surface, deep, and dark web environments Can derive insights from large datasets to make key decisions and recommendations Have experience with threat actor profiling and utilizing threat intelligence frameworks (MITRE ATT&CK, etc.) Have strong project management skills and ability to build processes from the ground up Possess excellent communication skills to collaborate with cross-functional teams and present to leadership Strong candidates may also have Experience working with government agencies or in regulated environments Background in AI safety, machine learning security, or technology abuse investigation Experience building and scaling threat detection systems or abuse monitoring programs Active Top Secret security clearance Deadline to apply None. Applications will be reviewed on a rolling basis. Annual Compensation Range $230,000 - $290,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We believe representation is important and strive for diverse perspectives on our team. Safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from email addresses. Legitimate recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, visit directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. We value impact-advancing our long-term goals of steerable, trustworthy AI-over smaller projects. We view AI research as an empirical science, akin to physics and biology. We are a collaborative group that hosts frequent discussions to pursue high-impact work and value communication skills. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space to collaborate with colleagues. Guidance on candidates' AI usage: Learn about our policy for using AI in our application process. As set forth in Anthropic's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Do you want to join a team of talented software engineers who are helping to revolutionize mobility to the cloud for their customers? AWS is seeking an exceptional developer to work on the challenging problem of accelerating our customer's journey from on-premises computing to running their businesses on AWS. As a software developer, you will be part of a team that designs and builds an agentic solution that helps large enterprise companies migrate their computing to AWS. Delivering a reliable and high-performance service at AWS scale requires engineers with extraordinary technical expertise and boundless creativity. At Amazon, we also expect engineers like you to interact with customers, to understand our business goals, and to innovate rapidly, delivering high-quality and ground-breaking functionality. What does it take to thrive as a developer at AWS? You need to be creative, curious, responsible, and able to work with others to rapidly turn an idea into working code. You're excited about writing code, implementing big ideas, and helping to coach those around you to raise the team's bar for code quality. You want the opportunity to grow your technical and professional skills while helping AWS grow. You relish the opportunity to dig into complex operational issues and to help customers build the next generation of web applications. You're someone who knows how to work hard and deliver results but is also able to have fun while they are doing it. Agentic AI drives innovation at the forefront of artificial intelligence, enabling customers to transform their businesses through cutting-edge AI solutions. We build and deliver the foundational AI services that power the future of cloud computing, helping organizations harness the potential of AI to solve their most complex challenges. Join our dynamic team of AI/ML practitioners, applied scientists, software engineers, and solution architects who work backwards from customer needs to create groundbreaking technologies. If you're passionate about shaping the future of AI while making a meaningful impact for customers worldwide, we want to hear from you. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred 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. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. EEO/Accommodations Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please let us know and we will connect you to our accommodation team. You may also reach them directly by visiting 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. 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, MA, Boston - 168 400.00 USD annually

Overview Sunnyvale,CA We're looking forward to you joining us to collaborate, contribute, and revolutionize AI silicon and system. We're seeking a world-class Machine Learning System Software Architect to join our SoC team at Baidu's Sunnyvale office. The successful candidate will be a motivated self-starter who will thrive in this highly technical environment. Your job responsibilities will help the team to architect and create high-performance machine learning system software and build the distributed AI training system by connecting thousands of Kunlun Accelerators and servers. Responsibilities Create differentiated architectural innovations for Baidu's Kunlun AI SoC roadmap. Architect, simulate, and design machine learning solutions for our AI products. Develop system-level ML architectures that push performance, power, and latency boundaries; collaborate with teammates to optimize hardware and software for maximum performance. Monitor industrial and academic trends in artificial intelligence and determine intersections with roadmaps. Drive partnerships for access to advanced AI technologies. Evaluate the power, performance, and cost of prospective architecture and subsystems. Build scalable tools for modeling and performance evaluation. Engage with system and application software engineers to optimize the entire hardware/software stack. Work with SoC design, verification, and validation engineers to execute the architecture. Qualifications Knowledge of Machine Learning market, technological and business trends, software ecosystem, and emerging applications. Proven track record of 5+ years architecting software solutions for Machine Learning, acceleration and optimization, especially in large distributed training systems and HPC. Experience with deep learning frameworks: TensorFlow/PyTorch/PaddlePaddle, etc. Strong track record of outreach to ML researchers and application developers. Experience with CPUs, GPUs, memory systems, and accelerators. Experience with performance simulation and modeling in C++. MS or PhD in Electrical or Computer Engineering. Excellent communication skills in both English and Chinese. Culture Fit Mission alignment: We provide the best possible platform to accomplish this great mission. Self-directed: We work best with people who are driven, motivated, and aspire to greatness. Hungry to learn: We are eager to see you learn new skills and grow. Team orientation: We work in small, fast-moving teams and pursue big goals together. LI-DNI Apply for this job Interested in building your career at Baidu USA? Please apply through Baidu USA careers channels.