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Reliability/DFX Engineer
OpenAI San Francisco, California
About The Team OpenAI's Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI's supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI. About The Role We are seeking a highly skilled cross-stack engineer with deep expertise in making ML systems reliable at scale. This hands-on individual contributor will sit within our hardware team and work closely with chip design, platform design, hardware health, and the broader industry ecosystem to architect, implement, and deploy reliable next-generation AI accelerator systems. This engineer will evaluate system and chip architecture holistically, identify high-ROI opportunities to improve reliability and availability across the stack, and translate those opportunities into strategy and silicon features. In This Role, You Will Oversee DFX architecture, implementation, and execution in silicon from concept to high-volume deployment, and propose high-ROI features to enhance reliability and fault tolerance. DFX includes design for testability, reliability, availability, and serviceability of high-performance AI hardware. Build system-level reliability models grounded in empirical data to guide organization-wide DFX and reliability strategy. This requires a detailed understanding of chip and system architecture, design, implementation, and component-level reliability. Collaborate with chip and platform architecture/design teams to explore and implement DFX features, including the specification and implementation of digital/mixed-signal IP, firmware/system software, and DFX methodology (in partnership with engineering teams). Partner with hardware health and platform design teams to continuously improve reliability and fault tolerance in NPI and HVM. This includes optimizing operating conditions, designing experiments, and performing data analysis to drive continuous, data-driven improvements across the stack. Serve as the DFX/reliability champion and evangelist to align the broader industry ecosystem with OpenAI's requirements and roadmap. Qualifications BS with 15+ years, MS with 10+ years, or PhD with 3+ years of relevant industry experience focused on reliability across the chip/platform stack. Hands-on experience with RTL design and DFT is required; physical implementation and/or silicon ATE experience is preferred. Detailed understanding of ML chip and platform architecture and ML workload characteristics is required. Strong fundamentals in reliability modeling, with hands-on skills in empirical data analysis. To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. OpenAI is committed to providing reasonable accommodations to applicants with disabilities; requests can be made via this link. Compensation Range: $285K - $460K
04/03/2026
Full time
About The Team OpenAI's Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI's supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI. About The Role We are seeking a highly skilled cross-stack engineer with deep expertise in making ML systems reliable at scale. This hands-on individual contributor will sit within our hardware team and work closely with chip design, platform design, hardware health, and the broader industry ecosystem to architect, implement, and deploy reliable next-generation AI accelerator systems. This engineer will evaluate system and chip architecture holistically, identify high-ROI opportunities to improve reliability and availability across the stack, and translate those opportunities into strategy and silicon features. In This Role, You Will Oversee DFX architecture, implementation, and execution in silicon from concept to high-volume deployment, and propose high-ROI features to enhance reliability and fault tolerance. DFX includes design for testability, reliability, availability, and serviceability of high-performance AI hardware. Build system-level reliability models grounded in empirical data to guide organization-wide DFX and reliability strategy. This requires a detailed understanding of chip and system architecture, design, implementation, and component-level reliability. Collaborate with chip and platform architecture/design teams to explore and implement DFX features, including the specification and implementation of digital/mixed-signal IP, firmware/system software, and DFX methodology (in partnership with engineering teams). Partner with hardware health and platform design teams to continuously improve reliability and fault tolerance in NPI and HVM. This includes optimizing operating conditions, designing experiments, and performing data analysis to drive continuous, data-driven improvements across the stack. Serve as the DFX/reliability champion and evangelist to align the broader industry ecosystem with OpenAI's requirements and roadmap. Qualifications BS with 15+ years, MS with 10+ years, or PhD with 3+ years of relevant industry experience focused on reliability across the chip/platform stack. Hands-on experience with RTL design and DFT is required; physical implementation and/or silicon ATE experience is preferred. Detailed understanding of ML chip and platform architecture and ML workload characteristics is required. Strong fundamentals in reliability modeling, with hands-on skills in empirical data analysis. To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. OpenAI is committed to providing reasonable accommodations to applicants with disabilities; requests can be made via this link. Compensation Range: $285K - $460K
Full Stack Engineer (Crypto x AI)
Hyphen Connect San Francisco, California
Overview We are hiring for one of our ecosystem projects, an innovative AI and Web3 company building an Ethereum Layer 2 solution integrated with advanced AI agents. As the first engineer dedicated to this initiative, you will play a pivotal role in its development, with potential opportunities to build and lead a team in the future. Key Responsibilities Design and implement AI platforms, encompassing both front-end interfaces and back-end services. Collaborate with other developers and AI engineers on data preprocessing, model training, and optimization. Deploy AI models into production environments, ensuring performance, scalability, and reliability. Develop and maintain data processing pipelines to ensure data quality and consistency. Stay updated on AI technology trends, advocating for the integration of new technologies into our products. Contribute to other projects based on the company's product development progress. Requirements Bachelor's degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or a related field. 5 years of full-stack development experience, proficient in both front-end and back-end technologies. Expertise in front-end and back-end technologies (especially Golang). Eager to explore and could use new technologies related to AI that help improve working efficiency. Strong curiosity and willingness to explore new product directions, identify potential AI applications, and contribute to product innovation. Familiarity with Web3, blockchain, and the crypto industry, with insights into different product models and a personal perspective on industry trends and innovations. Excellent communication skills and a collaborative team spirit, with the ability to independently solve problems and take initiative. Preferred Qualifications Knowledge in data processing and analysis will be a plus, with knowledge of SQL and NoSQL databases such as MySQL, PostgreSQL, or MongoDB. Experience in deploying and optimizing AI agent. Experience contributing to open-source projects. Build high-performance APIs and microservices to support large-scale Web3 application. Familiarity with large-scale data processing technologies such as Hadoop or Spark.
04/03/2026
Full time
Overview We are hiring for one of our ecosystem projects, an innovative AI and Web3 company building an Ethereum Layer 2 solution integrated with advanced AI agents. As the first engineer dedicated to this initiative, you will play a pivotal role in its development, with potential opportunities to build and lead a team in the future. Key Responsibilities Design and implement AI platforms, encompassing both front-end interfaces and back-end services. Collaborate with other developers and AI engineers on data preprocessing, model training, and optimization. Deploy AI models into production environments, ensuring performance, scalability, and reliability. Develop and maintain data processing pipelines to ensure data quality and consistency. Stay updated on AI technology trends, advocating for the integration of new technologies into our products. Contribute to other projects based on the company's product development progress. Requirements Bachelor's degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or a related field. 5 years of full-stack development experience, proficient in both front-end and back-end technologies. Expertise in front-end and back-end technologies (especially Golang). Eager to explore and could use new technologies related to AI that help improve working efficiency. Strong curiosity and willingness to explore new product directions, identify potential AI applications, and contribute to product innovation. Familiarity with Web3, blockchain, and the crypto industry, with insights into different product models and a personal perspective on industry trends and innovations. Excellent communication skills and a collaborative team spirit, with the ability to independently solve problems and take initiative. Preferred Qualifications Knowledge in data processing and analysis will be a plus, with knowledge of SQL and NoSQL databases such as MySQL, PostgreSQL, or MongoDB. Experience in deploying and optimizing AI agent. Experience contributing to open-source projects. Build high-performance APIs and microservices to support large-scale Web3 application. Familiarity with large-scale data processing technologies such as Hadoop or Spark.
Boeing
Software Manager- Mission Systems, Autonomy, and Artificial Intelligence (MSA2I)
Boeing Berkeley, Missouri
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Phantom Works is hiring a Front-Line Software Engineering Manager to lead mission systems, autonomy, and AI software teams supporting advanced R&D for Boeing Defense, Space & Security . This is a high-visibility role based in Berkeley, MO , with broad impact across Phantom Works and partner programs, including Collaborative Combat Aircraft (CCA) efforts - ideal for a hands-on leader who thrives in fast-paced, prototype-driven environments. This software engineering manager will lead software design and development teams within Phantom Works (PW), joining the Mission Systems, Autonomy, and Artificial Intelligence (MSA2I) organization. Additionally, this position will also serve as the PW Software Skill Team Leader which will provide great visibility across the PW organization while helping recruit new software engineers to join us in our mission. Phantom Works is an advanced research and development organization responsible for engaging customers through cutting-edge visual modeling and simulation; innovating cross-cutting concepts and technologies; prototyping solutions to extend current products and win new programs; developing new businesses and entering new markets. Position Responsibilities: Manages, develops, and motivates 15-20 employees on a multi-skill agile development team performing engineering and technical activities for the mission systems, autonomy, and AI software products Oversees day-to-day program execution for software development teams Collaborates with 3rd party vendors to develop more robust solutions Acquires resources to support development team needs and encourages process improvements Develops and maintains relationships and partnerships with customers, stakeholders, peers, partners and direct reports Targets and shapes new market opportunities while defining clear product roadmaps Acts as the Staffing focal for the Phantom Works Software organization Basic Qualifications (Required Skills/ Experience): Bachelor's Degree 7+ years of software development experience 3+ years of experience in software management or team lead role 2+ years of experience managing software development teams and delivering projects on time Strong understanding of software development lifecycle (SDLC) and Agile methodologies Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science) Experience with C++ and Python Experience with DevOps tools and practice Experience with cloud platforms Experience with LLMs and vibe coding Excellent leadership, mentoring, and team-building skills Strong communication skills to interact with cross-functional teams and stakeholders Ability to manage multiple projects and priorities effectively Travel: 10% Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: $160,650 - $217,350 Applications for this position will be accepted until Apr. 14, 2026 Export Control Requirements: This is not an Export Control position. Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
04/03/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Phantom Works is hiring a Front-Line Software Engineering Manager to lead mission systems, autonomy, and AI software teams supporting advanced R&D for Boeing Defense, Space & Security . This is a high-visibility role based in Berkeley, MO , with broad impact across Phantom Works and partner programs, including Collaborative Combat Aircraft (CCA) efforts - ideal for a hands-on leader who thrives in fast-paced, prototype-driven environments. This software engineering manager will lead software design and development teams within Phantom Works (PW), joining the Mission Systems, Autonomy, and Artificial Intelligence (MSA2I) organization. Additionally, this position will also serve as the PW Software Skill Team Leader which will provide great visibility across the PW organization while helping recruit new software engineers to join us in our mission. Phantom Works is an advanced research and development organization responsible for engaging customers through cutting-edge visual modeling and simulation; innovating cross-cutting concepts and technologies; prototyping solutions to extend current products and win new programs; developing new businesses and entering new markets. Position Responsibilities: Manages, develops, and motivates 15-20 employees on a multi-skill agile development team performing engineering and technical activities for the mission systems, autonomy, and AI software products Oversees day-to-day program execution for software development teams Collaborates with 3rd party vendors to develop more robust solutions Acquires resources to support development team needs and encourages process improvements Develops and maintains relationships and partnerships with customers, stakeholders, peers, partners and direct reports Targets and shapes new market opportunities while defining clear product roadmaps Acts as the Staffing focal for the Phantom Works Software organization Basic Qualifications (Required Skills/ Experience): Bachelor's Degree 7+ years of software development experience 3+ years of experience in software management or team lead role 2+ years of experience managing software development teams and delivering projects on time Strong understanding of software development lifecycle (SDLC) and Agile methodologies Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science) Experience with C++ and Python Experience with DevOps tools and practice Experience with cloud platforms Experience with LLMs and vibe coding Excellent leadership, mentoring, and team-building skills Strong communication skills to interact with cross-functional teams and stakeholders Ability to manage multiple projects and priorities effectively Travel: 10% Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: $160,650 - $217,350 Applications for this position will be accepted until Apr. 14, 2026 Export Control Requirements: This is not an Export Control position. Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Harnham
Artificial Intelligence Engineer
Harnham Anaheim, California
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
04/03/2026
Full time
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
Harnham
Artificial Intelligence Engineer
Harnham Sacramento, California
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
04/03/2026
Full time
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
Harnham
Artificial Intelligence Engineer
Harnham San Diego, California
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
04/03/2026
Full time
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
Software Engineer, Productivity
OpenAI San Francisco, California
About The Team We're hiring software engineers to make the Workload team more productive. The Workload team maintains the core components of OpenAI's training and inference frameworks and helps execute frontier experiments. About The Role We're looking for someone who cares about the developer experience of working in and around OpenAI's core training and inference frameworks. In This Role You Will Be responsible for optimizing the development workflows of the engineers around you Work within various Workload teams to address their specific needs, but collaborate with the centralized teams that own various aspects of development experience Optimize iteration speed, both broadly, and in particular by optimizing specific teams' CI Improve reliability, for instance, by driving testing strategy for particular components Work through the long tail of things that it takes to build libraries and systems that will delight researchers You Might Thrive In This Role If You are motivated by helping people. You believe a thing that separates great teams from good teams are the players willing to do whatever work it takes, without ego. You believe in the power of developer experience. Something magical happens when people can quickly and confidently iterate on a simple codebase, but this magic is fragile and must be fought for. When you see someone trip over something, no matter how small, your first instinct is asking yourself what it would take for that to not happen again. Your second instinct is clicking merge on the PR you've already written to make it so. You are pragmatic. You have the ability to see the world through a perfectionist's eyes, but are not yourself a perfectionist. You know which problems to pick and when to switch to making progress on a different problem. You like going end-to-end on things. You love co-design - that feeling when you were only able to find the right solution because you both deeply understand the users that interact with a system and the system itself. You like working with Python About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. Compensation Range: $255K - $405K
04/03/2026
Full time
About The Team We're hiring software engineers to make the Workload team more productive. The Workload team maintains the core components of OpenAI's training and inference frameworks and helps execute frontier experiments. About The Role We're looking for someone who cares about the developer experience of working in and around OpenAI's core training and inference frameworks. In This Role You Will Be responsible for optimizing the development workflows of the engineers around you Work within various Workload teams to address their specific needs, but collaborate with the centralized teams that own various aspects of development experience Optimize iteration speed, both broadly, and in particular by optimizing specific teams' CI Improve reliability, for instance, by driving testing strategy for particular components Work through the long tail of things that it takes to build libraries and systems that will delight researchers You Might Thrive In This Role If You are motivated by helping people. You believe a thing that separates great teams from good teams are the players willing to do whatever work it takes, without ego. You believe in the power of developer experience. Something magical happens when people can quickly and confidently iterate on a simple codebase, but this magic is fragile and must be fought for. When you see someone trip over something, no matter how small, your first instinct is asking yourself what it would take for that to not happen again. Your second instinct is clicking merge on the PR you've already written to make it so. You are pragmatic. You have the ability to see the world through a perfectionist's eyes, but are not yourself a perfectionist. You know which problems to pick and when to switch to making progress on a different problem. You like going end-to-end on things. You love co-design - that feeling when you were only able to find the right solution because you both deeply understand the users that interact with a system and the system itself. You like working with Python About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. Compensation Range: $255K - $405K
Critical Facilities Operating Engineer (Night Shift)
US AMR-Jones Lang LaSalle Americas, Inc. Atlanta, Georgia
JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Shift: Nights, 4/3 Rotating Schedule, 12-hours Principal Duties and Responsibilities Task will include but not be limited to: Responsible for maintaining, monitoring, and performing preventive maintenance and continuous operation of all data center systems to maintain 100% Up-time including: fire/life safety, mechanical systems such as (HVAC, chillers, crac, crah, plumbing, controls), electrical including emergency backup systems such as (lighting, UPS, ATS, STS, PDU, generators, primary switchgear, power distribution, transformers), and hot water systems. Monitors operation, adjusts, and maintains refrigeration, chilled water, and air conditioning equipment; boilers, and ventilating and water heaters; pumps, valves, piping, and filters; other mechanical and electrical equipment. Must record readings and make and adjust where necessary to ensure proper operation of equipment. Monitor building management systems and respond to alarms and alerts promptly. Requires the ability to analyze the operation of various systems, determine the cause of any problems/malfunctions and take corrective action as required Comply with departmental policy for the safe storage, usage, and disposal of hazardous materials. Maintains a clean and safe workplace. Learn and understand the data center site in-order to manage incidents and events that put the critical systems at risk. Work order management, including CMMS, Vendor Management, and Customer Facing Tickets. Understanding and complying with emergency escalation procedures. Perform additional job duties as required. Minimum Experience: Education & Experience Systems, emergency generators, and switchgears. High School diploma or GED equivalent 4+ years related work experience. Language Skills Demonstrated verbal/written communication skills. Ability to read and interpret documents such as safety rules, operating and maintenance instructions, and procedure manuals. Ability to read, analyze, and interpret technical procedures, or governmental regulations and codes. Ability to write routine reports and correspondence. Ability to speak effectively before small groups of tenants or fellow employees. Other Skill and Abilities Working knowledge or the capability of developing proficient knowledge of Microsoft Word, Microsoft Excel, Outlook and Microsoft Access and any other software packages. Must be able to professionally interact with tenants and contractors. Preferred Requirements: Corrigo Experience. MCIM / Salesforce Experience. Zendesk Experience. Service Now Experience. Hands-on experience working in a data center/critical facility, including UPS. Physical Requirements: This position will require the following: Walking large, campus-like settings. Frequent walking, climbing, bending, kneeling, lifting, stooping, and working/extending overhead, including: Lifting a minimum of 50 lbs. Climbing stairs and navigating rooftops to access equipment. Using ladders up to 30 ft and working from heights. Ability to Climb a ladder with a 300-lb weight limit. Must be able to work different schedules. Must be able to work Holidays. Must be able to respond to site emergencies. This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship. Location: On-site -Atlanta, GA If this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. We're interested in getting to know you and what you bring to the table! Personalized benefits that support personal well-being and growth: JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include: 401(k) plan with matching company contributions Comprehensive Medical, Dental & Vision Care Paid parental leave at 100% of salary Paid Time Off and Company Holidays Early access to earned wages through Daily Pay At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing. JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement . For additional details please see our career site pages for each country. For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here . Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at . This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL. Accepting applications on an ongoing basis until candidate identified.
04/03/2026
Full time
JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Shift: Nights, 4/3 Rotating Schedule, 12-hours Principal Duties and Responsibilities Task will include but not be limited to: Responsible for maintaining, monitoring, and performing preventive maintenance and continuous operation of all data center systems to maintain 100% Up-time including: fire/life safety, mechanical systems such as (HVAC, chillers, crac, crah, plumbing, controls), electrical including emergency backup systems such as (lighting, UPS, ATS, STS, PDU, generators, primary switchgear, power distribution, transformers), and hot water systems. Monitors operation, adjusts, and maintains refrigeration, chilled water, and air conditioning equipment; boilers, and ventilating and water heaters; pumps, valves, piping, and filters; other mechanical and electrical equipment. Must record readings and make and adjust where necessary to ensure proper operation of equipment. Monitor building management systems and respond to alarms and alerts promptly. Requires the ability to analyze the operation of various systems, determine the cause of any problems/malfunctions and take corrective action as required Comply with departmental policy for the safe storage, usage, and disposal of hazardous materials. Maintains a clean and safe workplace. Learn and understand the data center site in-order to manage incidents and events that put the critical systems at risk. Work order management, including CMMS, Vendor Management, and Customer Facing Tickets. Understanding and complying with emergency escalation procedures. Perform additional job duties as required. Minimum Experience: Education & Experience Systems, emergency generators, and switchgears. High School diploma or GED equivalent 4+ years related work experience. Language Skills Demonstrated verbal/written communication skills. Ability to read and interpret documents such as safety rules, operating and maintenance instructions, and procedure manuals. Ability to read, analyze, and interpret technical procedures, or governmental regulations and codes. Ability to write routine reports and correspondence. Ability to speak effectively before small groups of tenants or fellow employees. Other Skill and Abilities Working knowledge or the capability of developing proficient knowledge of Microsoft Word, Microsoft Excel, Outlook and Microsoft Access and any other software packages. Must be able to professionally interact with tenants and contractors. Preferred Requirements: Corrigo Experience. MCIM / Salesforce Experience. Zendesk Experience. Service Now Experience. Hands-on experience working in a data center/critical facility, including UPS. Physical Requirements: This position will require the following: Walking large, campus-like settings. Frequent walking, climbing, bending, kneeling, lifting, stooping, and working/extending overhead, including: Lifting a minimum of 50 lbs. Climbing stairs and navigating rooftops to access equipment. Using ladders up to 30 ft and working from heights. Ability to Climb a ladder with a 300-lb weight limit. Must be able to work different schedules. Must be able to work Holidays. Must be able to respond to site emergencies. This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship. Location: On-site -Atlanta, GA If this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. We're interested in getting to know you and what you bring to the table! Personalized benefits that support personal well-being and growth: JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include: 401(k) plan with matching company contributions Comprehensive Medical, Dental & Vision Care Paid parental leave at 100% of salary Paid Time Off and Company Holidays Early access to earned wages through Daily Pay At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing. JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement . For additional details please see our career site pages for each country. For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here . Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at . This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL. Accepting applications on an ongoing basis until candidate identified.
Systems Engineer - Electromechanical
Bright Machines San Francisco, California
RETHINK MANUFACTURINGThe only way to ignite change is to build the best team. At Bright Machines , we're innovators and experts in our craft who have joined together to create a new category of manufacturing that will help transform the industry. We believe software and data are the answer, thoughtfully applied to solve our customers' unique challenges. Through intelligent automation, we give factories newfound flexibility, scalability, and resilience. We deliver products to meet the demands of today while building a platform to take advantage of what comes next.Working with us means you'll have the opportunity to make lasting, impactful changes for our company and our customers. If you're ready to apply your exceptional skills to create the factory of the future, we'd love to speak with you. ABOUT THE ROLE At Bright Machines, we are transforming the future of manufacturing with intelligent, software-driven automation. Our applications help designers create products that are optimized for automated assembly, making factories more efficient and effective.We are seeking an experienced Systems Engineer to join our team. In this role, you will be responsible for the design, development, and deployment of advanced robotic automation systems. You will collaborate with cross-functional teams, including mechanical and electrical engineers, software developers, and project managers to deliver innovative automation solutions that meet client requirements and business objectives.This is a unique opportunity to be part of a greenfield development effort that will change the way companies build and produce products. If you're ready to apply exceptional engineering practices and build software that will define the next generation in manufacturing, this is your opportunity to "Be Bright". WHAT YOU WILL BE DOING Collaborate with project teams to define system requirements and specifications. Integrate BM various hardware and software components into cohesive and functional systems. Create PFMEA, process flow and value stream maps (where required) and work with the design team to resolve all failure mode points within the design Develop and execute test plans to ensure system functionality and reliability. Ensure through each phase gate that all design metrics are being challenged and met Clearly define solution requirements, own 'the product' of the overall automation solution (and sub systems), and drive it to success through the entire project lifecycle in partnership with program management and engineering Travel up to 40%, primarily domestically WHAT WE WANT TO SEE Bachelor's or Master's degree in Engineering, Robotics, or a related field. Minimum of 5 years of systems engineering experience, preferably with hands-on expertise in automation and lean engineering. Proven ability to demonstrate relevant experience through past projects and accomplishments. Strong technical skills with a systems-level mindset; execution-driven, process-oriented, collaborative, and a self-learner. Excellent communication and interpersonal skills; able to work effectively with Sales, suppliers, System Architects, Design Engineers, Technical Program Managers, and senior leadership to ensure all PFMEA failure modes are addressed and SOW requirements are met. Ability to thoroughly analyze technical documents (RFQs and SOWs) and translate requirements into cost-effective, practical automation concepts. IT WOULD BE GREAT IF YOU HAD AutoCAD and/or SolidWorks experience Technical Sales or Quoting experience responding to RFQs and SOWs Design for automation experience, queueing simulation, FMEA, and GR&R experience Vision systems experience, SMT, PLC programming, robot programming, and machine learning exposure. Industry 4.0, IoT, SPC and other smart factory concepts $150,000 - $190,000 a yearBE EMPOWERED TO CHANGE AN INDUSTRYBright Machines is a next-generation, AI-enabled manufacturer focused on data center infrastructure assembly operations. Bright Machines uses its proprietary AI-based robotics and software to assemble AI infrastructure hardware products (i.e., data center servers) for hyperscalers and leading Original Equipment Manufacturers (OEMs). With its new AI factory, Bright Machines addresses increasing market demands for computing power due to the surge of AI and the U.S. national mandate to reshore manufacturing by building data center infrastructure at scale with higher quality and shorter time-to-market.Bright Machines is headquartered in San Francisco, California, with an integration center in Guadalajara, Mexico. The company has been recognized as one of Forbes' AI 50, awarded "Best AI-based Solution for Manufacturing" by AI Breakthrough, named a "Technology Pioneer" by the World Economic Forum, and highlighted by several other leading technology and innovation organizations.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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. Bright Machines
04/02/2026
Full time
RETHINK MANUFACTURINGThe only way to ignite change is to build the best team. At Bright Machines , we're innovators and experts in our craft who have joined together to create a new category of manufacturing that will help transform the industry. We believe software and data are the answer, thoughtfully applied to solve our customers' unique challenges. Through intelligent automation, we give factories newfound flexibility, scalability, and resilience. We deliver products to meet the demands of today while building a platform to take advantage of what comes next.Working with us means you'll have the opportunity to make lasting, impactful changes for our company and our customers. If you're ready to apply your exceptional skills to create the factory of the future, we'd love to speak with you. ABOUT THE ROLE At Bright Machines, we are transforming the future of manufacturing with intelligent, software-driven automation. Our applications help designers create products that are optimized for automated assembly, making factories more efficient and effective.We are seeking an experienced Systems Engineer to join our team. In this role, you will be responsible for the design, development, and deployment of advanced robotic automation systems. You will collaborate with cross-functional teams, including mechanical and electrical engineers, software developers, and project managers to deliver innovative automation solutions that meet client requirements and business objectives.This is a unique opportunity to be part of a greenfield development effort that will change the way companies build and produce products. If you're ready to apply exceptional engineering practices and build software that will define the next generation in manufacturing, this is your opportunity to "Be Bright". WHAT YOU WILL BE DOING Collaborate with project teams to define system requirements and specifications. Integrate BM various hardware and software components into cohesive and functional systems. Create PFMEA, process flow and value stream maps (where required) and work with the design team to resolve all failure mode points within the design Develop and execute test plans to ensure system functionality and reliability. Ensure through each phase gate that all design metrics are being challenged and met Clearly define solution requirements, own 'the product' of the overall automation solution (and sub systems), and drive it to success through the entire project lifecycle in partnership with program management and engineering Travel up to 40%, primarily domestically WHAT WE WANT TO SEE Bachelor's or Master's degree in Engineering, Robotics, or a related field. Minimum of 5 years of systems engineering experience, preferably with hands-on expertise in automation and lean engineering. Proven ability to demonstrate relevant experience through past projects and accomplishments. Strong technical skills with a systems-level mindset; execution-driven, process-oriented, collaborative, and a self-learner. Excellent communication and interpersonal skills; able to work effectively with Sales, suppliers, System Architects, Design Engineers, Technical Program Managers, and senior leadership to ensure all PFMEA failure modes are addressed and SOW requirements are met. Ability to thoroughly analyze technical documents (RFQs and SOWs) and translate requirements into cost-effective, practical automation concepts. IT WOULD BE GREAT IF YOU HAD AutoCAD and/or SolidWorks experience Technical Sales or Quoting experience responding to RFQs and SOWs Design for automation experience, queueing simulation, FMEA, and GR&R experience Vision systems experience, SMT, PLC programming, robot programming, and machine learning exposure. Industry 4.0, IoT, SPC and other smart factory concepts $150,000 - $190,000 a yearBE EMPOWERED TO CHANGE AN INDUSTRYBright Machines is a next-generation, AI-enabled manufacturer focused on data center infrastructure assembly operations. Bright Machines uses its proprietary AI-based robotics and software to assemble AI infrastructure hardware products (i.e., data center servers) for hyperscalers and leading Original Equipment Manufacturers (OEMs). With its new AI factory, Bright Machines addresses increasing market demands for computing power due to the surge of AI and the U.S. national mandate to reshore manufacturing by building data center infrastructure at scale with higher quality and shorter time-to-market.Bright Machines is headquartered in San Francisco, California, with an integration center in Guadalajara, Mexico. The company has been recognized as one of Forbes' AI 50, awarded "Best AI-based Solution for Manufacturing" by AI Breakthrough, named a "Technology Pioneer" by the World Economic Forum, and highlighted by several other leading technology and innovation organizations.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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. Bright Machines
Senior Software Engineer, Core Experiences - Stamford, USA
Speechify Stamford, Connecticut
Overview We re looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify's product experience across platforms. It s a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience. What You ll Do Collaborate with Speechify's Product Teams to scope projects, reduce scope for faster customer feedback, navigate integration/UX tradeoffs across product teams, and deliver solutions via our cross-platform SDK. Optimize existing functionality to ship faster loading times and more intelligent parsing by designing efficient abstractions and improving algorithms. Ship cloud functions, lightweight backend services, and jobs using Kotlin. An Ideal Candidate Should Have Systems thinking: you design end-to-end solutions with a bias toward simplicity. Speed: you generate ideas quickly and know what can ship now versus what needs more time. Focus: you work well in a high-growth, remote team and know when to engage or go heads down. Collaboration: you can inspire, collaborate with, and negotiate with designers, marketers, and PMs. Preferred Tech Stack: Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform) Prior experience with GCP is a plus What We Offer A fast-growing environment where you can help shape the company and product. An entrepreneurial-minded team that supports risk, intuition, and hustle. A hands-off management approach so you can focus and do your best work. An opportunity to make a big impact in a transformative industry. Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture. Opportunity to work on a life-changing product that millions of people use. Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more. Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio. Location and Compensation : The United States Based salary range for this role is 140,000-200,000 USD/Year + Bonus + Stock depending on experience. How to Apply Think you re a good fit for this job? Tell us about yourself and why you re interested in the role when you apply. Include links to your portfolio and LinkedIn. Equal Employment Opportunity Speechify is committed to a diverse and inclusive workplace. Speechify 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.
04/02/2026
Full time
Overview We re looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify's product experience across platforms. It s a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience. What You ll Do Collaborate with Speechify's Product Teams to scope projects, reduce scope for faster customer feedback, navigate integration/UX tradeoffs across product teams, and deliver solutions via our cross-platform SDK. Optimize existing functionality to ship faster loading times and more intelligent parsing by designing efficient abstractions and improving algorithms. Ship cloud functions, lightweight backend services, and jobs using Kotlin. An Ideal Candidate Should Have Systems thinking: you design end-to-end solutions with a bias toward simplicity. Speed: you generate ideas quickly and know what can ship now versus what needs more time. Focus: you work well in a high-growth, remote team and know when to engage or go heads down. Collaboration: you can inspire, collaborate with, and negotiate with designers, marketers, and PMs. Preferred Tech Stack: Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform) Prior experience with GCP is a plus What We Offer A fast-growing environment where you can help shape the company and product. An entrepreneurial-minded team that supports risk, intuition, and hustle. A hands-off management approach so you can focus and do your best work. An opportunity to make a big impact in a transformative industry. Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture. Opportunity to work on a life-changing product that millions of people use. Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more. Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio. Location and Compensation : The United States Based salary range for this role is 140,000-200,000 USD/Year + Bonus + Stock depending on experience. How to Apply Think you re a good fit for this job? Tell us about yourself and why you re interested in the role when you apply. Include links to your portfolio and LinkedIn. Equal Employment Opportunity Speechify is committed to a diverse and inclusive workplace. Speechify 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.
Senior Software Engineer, Core Experiences - Daly City, USA
Speechify Daly City, California
Senior Software Engineer, Core Experiences - Daly City, USA Daly City, USA Overview We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify's product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience. What You'll Do Collaborate with Speechify's Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms Ship cloud functions, lightweight backend services, and jobs using Kotlin An Ideal Candidate Should Have Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable. Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time Focus. We're a high-growth startup with a busy, remote team. You know how and when to engage or be heads down Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs Preferred Tech Stack: Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform) Prior experience with GCP is a plus What We Offer A fast-growing environment where you can help shape the company and product. An entrepreneurial-minded team that supports risk, intuition, and hustle. A hands-off management approach so you can focus and do your best work. An opportunity to make a big impact in a transformative industry. Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture. Opportunity to work on a life-changing product that millions of people use. Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more. Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio. The United States Based salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify 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.
04/02/2026
Full time
Senior Software Engineer, Core Experiences - Daly City, USA Daly City, USA Overview We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify's product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience. What You'll Do Collaborate with Speechify's Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms Ship cloud functions, lightweight backend services, and jobs using Kotlin An Ideal Candidate Should Have Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable. Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time Focus. We're a high-growth startup with a busy, remote team. You know how and when to engage or be heads down Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs Preferred Tech Stack: Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform) Prior experience with GCP is a plus What We Offer A fast-growing environment where you can help shape the company and product. An entrepreneurial-minded team that supports risk, intuition, and hustle. A hands-off management approach so you can focus and do your best work. An opportunity to make a big impact in a transformative industry. Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture. Opportunity to work on a life-changing product that millions of people use. Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more. Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio. The United States Based salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify 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.
Senior Software Engineer, Core Experiences - Sunnyvale, USA
Speechify Sunnyvale, California
Senior Software Engineer, Core Experiences - Sunnyvale, USA Mission Speechify is the easiest way to listen to the world's information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster. What streaming services have done for audio entertainment, we're doing for audio information. And whatever we're doing seems to be working. We're in our category, and experiencing exponential growth. Overview We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify's product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience. What You'll Do Collaborate with Speechify's Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms Ship cloud functions, lightweight backend services, and jobs using Kotlin An Ideal Candidate Should Have Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable. Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time Focus. We're a high-growth startup with a busy, remote team. You know how and when to engage or be heads down Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs Preferred Tech Stack: Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform) Prior experience with GCP is a plus What We Offer A fast-growing environment where you can help shape the company and product. An entrepreneurial-minded team that supports risk, intuition, and hustle. A hands-off management approach so you can focus and do your best work. An opportunity to make a big impact in a transformative industry. Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture. Opportunity to work on a life-changing product that millions of people use. Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more. Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio. Salary United States Based salary range for this role is 140,000-200,000 USD/Year + Bonus + Stock depending on experience How to Apply Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. Include links to your portfolio and LinkedIn. EEO Notice Speechify is committed to a diverse and inclusive workplace. We do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
04/02/2026
Full time
Senior Software Engineer, Core Experiences - Sunnyvale, USA Mission Speechify is the easiest way to listen to the world's information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster. What streaming services have done for audio entertainment, we're doing for audio information. And whatever we're doing seems to be working. We're in our category, and experiencing exponential growth. Overview We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify's product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience. What You'll Do Collaborate with Speechify's Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms Ship cloud functions, lightweight backend services, and jobs using Kotlin An Ideal Candidate Should Have Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable. Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time Focus. We're a high-growth startup with a busy, remote team. You know how and when to engage or be heads down Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs Preferred Tech Stack: Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform) Prior experience with GCP is a plus What We Offer A fast-growing environment where you can help shape the company and product. An entrepreneurial-minded team that supports risk, intuition, and hustle. A hands-off management approach so you can focus and do your best work. An opportunity to make a big impact in a transformative industry. Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture. Opportunity to work on a life-changing product that millions of people use. Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more. Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio. Salary United States Based salary range for this role is 140,000-200,000 USD/Year + Bonus + Stock depending on experience How to Apply Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. Include links to your portfolio and LinkedIn. EEO Notice Speechify is committed to a diverse and inclusive workplace. We do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Chief Technology Officer
Community Health Center Stoughton, Massachusetts
Overview Job Description Summary: Job Description: Anticipated Start: July 2025 The Moses/Weitzman Health System (MWHS) is America's first health system dedicated to primary care for underserved populations. Companies within the MWHS advance the delivery of primary and specialty care through practice, research, systems transformation, and training the next generation of health care leaders. To continue to further that mission, the health system seeks a creative and experienced Chief Technology Officer to lead its Information Technology function across multiple clinical and non-clinical locations, as well as an extensive virtual workforce. The CTO is responsible and accountable for IT strategy development in lock-step with the executive team and its mission, strategic plan and delivery tactics. That strategic leadership must be combined with operationalizing that strategy and ensuring all related policies, processes and practices are aligned with the strategy and mission of the organization. Oversees the Information Technology function including applications, analytics, technology infrastructure, telephony, automation, end user device management and support, program/project management, performance improvement activities, and the help/services support desk. Ability to work effectively with external information security consultants and implement recommendations into day to day operations. Fosters a culture of quality and workflow improvement through technology uses supporting clinical and business applications delivery and innovation for the benefit of patients, clients, students, providers and staff. Advises on the alignment of people, processes and technology as required to leverage IT solutions and drive innovation (including big data analytics, artificial intelligence and clinical decision support). Collaborates with the executive team on all matters as necessary to achieve the organization's business objectives. Role and Responsibilities Strategy & Planning Participate in strategic and operational governance processes as a member of the senior leadership team. Provide strategic and operational IT leadership in defining and achieving corporate vision, goals and objectives. Ensure the IT department staff are well-equipped to source, implement and maintain the infrastructure, systems and applications required to meet the evolving needs of each part of the health system. Establish departmental goals, objectives, and operating procedures. Identify and assess opportunities for IT investment in systems and resources, including staffing, sourcing, purchasing, and in-house development. Collaborate with clinical leadership to continually improve, develop and implement new clinical systems Develop, track, and manage the information technology annual operating and capital budgets. In conjuction with external consultants, monitor and continually improve the company's security, disaster recovery and business continuity plans. Monitor and strategically plan for effective integration and utilization of technological innovations such as AI and automation Acquisition & Deployment Coordinate and facilitate consultation with stakeholders to define business and systems requirements for new technology implementations. Approve, prioritize, and oversee projects and the project portfolio as they relate to the selection, acquisition, development, and installation of IT systems and resources. Review hardware, communication and software acquisition and maintenance contracts and pursue master agreements to capitalize on economies of scale. Define and communicate corporate plans, policies, and standards for acquiring, implementing, and operating IT systems. Operational Management Ensure continuous improvement of IT services through oversight of service level agreements with vendors, end users and monitoring of IT systems performance. Understand the business requirements of, and supply exceptional IT support to, all internal customers including clinical departments, administration, finance, affiliate businesses, and human resources. Ensure IT systems and operations adhere to applicable laws and regulations. Keep current with trends and issues in the IT industry, including current technologies and prices Advise, counsel, and educate executives and management on the competitive or financial impact of such trends. Promote and oversee strategic relationships between internal IT resources and external entities, including government, vendors, and partner organizations. Supervise recruitment, development, retention, and organization of all IT staff in accordance with corporate budgetary objectives and personnel policies. Qualifications Required Education, Skills and Experience Education Required (Minimum level of education): Bachelor's degree in Business, IT-related, engineering, or relevant management or technical field. Education Highly Preferred: Master's degree in Business, IT-related, engineering, or relevant management or technical field. A minimum of 10+ years in senior leadership position in IT; or equivalent combination of education and experience. Experience leading executive and middle management teams to accomplish challenging goals. Demonstrated experience leading an IT, project management, cyber-security, and data analytics functions, including successfully implementing new large scale enterprise technology solutions. Experience in strategic planning and execution. Knowledge of business theory, business processes, management, budgeting, and business office operations. Experience with the entire cycle of software and systems deployment from business requirements analysis through development, implementation and day-to-day management. Proven project management experience. Demonstrated ability to apply IT and AI in solving business problems. In-depth knowledge of applicable laws and regulations as they relate to IT, including HIPAA. Preferred Skills Experience with healthcare operations a plus. Required Licenses/Certifications Certifications/Licenses Highly Preferred: CHIME Boot Camp (or similar program) Graduate Certifications/Licenses Preferred:Project Management Professional (PMP) Certification Additional Certifications/Licenses Preferred: Certified Professional in Health Information Management (HIMSS CPHIMS) Security certification such as Certified in Healthcare Privacy and Security (CHPS) and/or other healthcare industry related security credentials. Physical Requirements/Work Environment Must be able to travel independently throughout CHCI's locations as needed. Must be able to work outside of normal business hours to include early morning, evenings and weekends as necessary Must be able to work at a desk and participate in virtual/in-person meetings for extended periods of time Additional Qualifications Ability to drive progress, encourage innovation and take strong ownership under dynamic evolving conditions. Strong understanding of information technology including ever-evolving application package management, artificial intelligence, infrastructures, support and services best practices, and vendor partnering and management in a health provider setting. Uses superior analytical skills, critical thinking and sound judgment to solve problems with limited information. Ability to provide meaningful data analytics and reporting services that support operational and strategic decision making. Influences key stakeholders through clear strategies and data driven information. Experience managing enterprise wide initiatives with standard processes and methodologies. Acts as a change agent for the organization and challenges the status quo when necessary. Ability to create strong working relationships and develop the trust and followership of large teams. Ability to provide strategic direction and align work of large teams to the goals of the organization. Ability to build credibility and influence with the executive leadership team. Excellent written and oral communication skills as well as overall interpersonal skills. Strong negotiating skills. Ability to present ideas in business-friendly and user-friendly language. Exceptional service orientation. Organization Information: The Moses/Weitzman Health System is a global leader addressing challenges faced by organizations caring for the poor and diverse populations, and is home to programs focusing on education, research, and process improvement support for safety net providers. The system delivers primary care to more than 150,000 patients in Connecticut, and extends access to specialty care for more than 2.5 million individuals across the U.S. It is a national accrediting body for organizations training advanced practice providers, and offers accredited education and training for Medical Assistants in multiple states. As an incubator for new ideas in areas including social justice, the environment, and social determinants of health, the MWHS is addressing challenges faced by providers caring for underserved communities, creating innovative and impactful initiatives led by nationally and internationally recognized experts. As it forges pathways into the future of primary care, the MWHS honors Lillian Reba Moses () . click apply for full job details
04/02/2026
Full time
Overview Job Description Summary: Job Description: Anticipated Start: July 2025 The Moses/Weitzman Health System (MWHS) is America's first health system dedicated to primary care for underserved populations. Companies within the MWHS advance the delivery of primary and specialty care through practice, research, systems transformation, and training the next generation of health care leaders. To continue to further that mission, the health system seeks a creative and experienced Chief Technology Officer to lead its Information Technology function across multiple clinical and non-clinical locations, as well as an extensive virtual workforce. The CTO is responsible and accountable for IT strategy development in lock-step with the executive team and its mission, strategic plan and delivery tactics. That strategic leadership must be combined with operationalizing that strategy and ensuring all related policies, processes and practices are aligned with the strategy and mission of the organization. Oversees the Information Technology function including applications, analytics, technology infrastructure, telephony, automation, end user device management and support, program/project management, performance improvement activities, and the help/services support desk. Ability to work effectively with external information security consultants and implement recommendations into day to day operations. Fosters a culture of quality and workflow improvement through technology uses supporting clinical and business applications delivery and innovation for the benefit of patients, clients, students, providers and staff. Advises on the alignment of people, processes and technology as required to leverage IT solutions and drive innovation (including big data analytics, artificial intelligence and clinical decision support). Collaborates with the executive team on all matters as necessary to achieve the organization's business objectives. Role and Responsibilities Strategy & Planning Participate in strategic and operational governance processes as a member of the senior leadership team. Provide strategic and operational IT leadership in defining and achieving corporate vision, goals and objectives. Ensure the IT department staff are well-equipped to source, implement and maintain the infrastructure, systems and applications required to meet the evolving needs of each part of the health system. Establish departmental goals, objectives, and operating procedures. Identify and assess opportunities for IT investment in systems and resources, including staffing, sourcing, purchasing, and in-house development. Collaborate with clinical leadership to continually improve, develop and implement new clinical systems Develop, track, and manage the information technology annual operating and capital budgets. In conjuction with external consultants, monitor and continually improve the company's security, disaster recovery and business continuity plans. Monitor and strategically plan for effective integration and utilization of technological innovations such as AI and automation Acquisition & Deployment Coordinate and facilitate consultation with stakeholders to define business and systems requirements for new technology implementations. Approve, prioritize, and oversee projects and the project portfolio as they relate to the selection, acquisition, development, and installation of IT systems and resources. Review hardware, communication and software acquisition and maintenance contracts and pursue master agreements to capitalize on economies of scale. Define and communicate corporate plans, policies, and standards for acquiring, implementing, and operating IT systems. Operational Management Ensure continuous improvement of IT services through oversight of service level agreements with vendors, end users and monitoring of IT systems performance. Understand the business requirements of, and supply exceptional IT support to, all internal customers including clinical departments, administration, finance, affiliate businesses, and human resources. Ensure IT systems and operations adhere to applicable laws and regulations. Keep current with trends and issues in the IT industry, including current technologies and prices Advise, counsel, and educate executives and management on the competitive or financial impact of such trends. Promote and oversee strategic relationships between internal IT resources and external entities, including government, vendors, and partner organizations. Supervise recruitment, development, retention, and organization of all IT staff in accordance with corporate budgetary objectives and personnel policies. Qualifications Required Education, Skills and Experience Education Required (Minimum level of education): Bachelor's degree in Business, IT-related, engineering, or relevant management or technical field. Education Highly Preferred: Master's degree in Business, IT-related, engineering, or relevant management or technical field. A minimum of 10+ years in senior leadership position in IT; or equivalent combination of education and experience. Experience leading executive and middle management teams to accomplish challenging goals. Demonstrated experience leading an IT, project management, cyber-security, and data analytics functions, including successfully implementing new large scale enterprise technology solutions. Experience in strategic planning and execution. Knowledge of business theory, business processes, management, budgeting, and business office operations. Experience with the entire cycle of software and systems deployment from business requirements analysis through development, implementation and day-to-day management. Proven project management experience. Demonstrated ability to apply IT and AI in solving business problems. In-depth knowledge of applicable laws and regulations as they relate to IT, including HIPAA. Preferred Skills Experience with healthcare operations a plus. Required Licenses/Certifications Certifications/Licenses Highly Preferred: CHIME Boot Camp (or similar program) Graduate Certifications/Licenses Preferred:Project Management Professional (PMP) Certification Additional Certifications/Licenses Preferred: Certified Professional in Health Information Management (HIMSS CPHIMS) Security certification such as Certified in Healthcare Privacy and Security (CHPS) and/or other healthcare industry related security credentials. Physical Requirements/Work Environment Must be able to travel independently throughout CHCI's locations as needed. Must be able to work outside of normal business hours to include early morning, evenings and weekends as necessary Must be able to work at a desk and participate in virtual/in-person meetings for extended periods of time Additional Qualifications Ability to drive progress, encourage innovation and take strong ownership under dynamic evolving conditions. Strong understanding of information technology including ever-evolving application package management, artificial intelligence, infrastructures, support and services best practices, and vendor partnering and management in a health provider setting. Uses superior analytical skills, critical thinking and sound judgment to solve problems with limited information. Ability to provide meaningful data analytics and reporting services that support operational and strategic decision making. Influences key stakeholders through clear strategies and data driven information. Experience managing enterprise wide initiatives with standard processes and methodologies. Acts as a change agent for the organization and challenges the status quo when necessary. Ability to create strong working relationships and develop the trust and followership of large teams. Ability to provide strategic direction and align work of large teams to the goals of the organization. Ability to build credibility and influence with the executive leadership team. Excellent written and oral communication skills as well as overall interpersonal skills. Strong negotiating skills. Ability to present ideas in business-friendly and user-friendly language. Exceptional service orientation. Organization Information: The Moses/Weitzman Health System is a global leader addressing challenges faced by organizations caring for the poor and diverse populations, and is home to programs focusing on education, research, and process improvement support for safety net providers. The system delivers primary care to more than 150,000 patients in Connecticut, and extends access to specialty care for more than 2.5 million individuals across the U.S. It is a national accrediting body for organizations training advanced practice providers, and offers accredited education and training for Medical Assistants in multiple states. As an incubator for new ideas in areas including social justice, the environment, and social determinants of health, the MWHS is addressing challenges faced by providers caring for underserved communities, creating innovative and impactful initiatives led by nationally and internationally recognized experts. As it forges pathways into the future of primary care, the MWHS honors Lillian Reba Moses () . click apply for full job details
Staff Engineer, Distributed Storage and HPC & AI Infrastructure
Together AI San Francisco, California
Staff Engineer, Distributed Storage and HPC & AI Infrastructure About the Role In this role, you will design and deliver multi-petabyte storage systems purpose-built for the world's largest AI training and inference workloads. You'll architect high-performance parallel filesystems and object stores, evaluate and integrate cutting edge technologies such as WekaFS, Ceph, and Lustre, and drive aggressive cost optimization routinely achieving % savings through intelligent tiering, lifecycle policies, capacity forecasting, and right sizing. You will also build Kubernetes native storage operators and self service platforms that provide automated provisioning, strict multi tenancy, performance isolation, and quota enforcement at cluster scale. Day to day, you'll optimize end to end data paths for GB/s per node, design multi tier caching architectures, implement intelligent prefetching and model weight distribution, and tune parallel filesystems for AI workloads. Responsibilities Design multi petabyte AI/ML storage systems; integrate WekaFS, Ceph, etc.; lead capacity planning and cost optimization (% savings via tiering, lifecycle policies, right sizing). Design/optimize RDMA, InfiniBand, 400GbE networks; tune for max throughput/min latency; implement NVMe oF/iSCSI; troubleshoot bottlenecks; optimize TCP/IP for storage. Build Kubernetes storage operators/controllers; enable automated provisioning, self service abstractions, multi tenant isolation, quotas; create reusable Helm/Terraform patterns. Deliver GB/s per GPU node; optimize caching (weights/datasets/checkpoints), parallel filesystems, and data paths; troubleshoot with profiling tools; scale to thousands of nodes. Build multi tier caches (local NVMe, distributed, object); optimize data locality and model weight distribution; implement smart prefetching/eviction. Implement monitoring, alerting, SLOs; design DR/backups with runbooks; run chaos engineering; ensure 99.9%+ uptime via proactive/automated remediation. Partner with ML/SRE teams; mentor on storage best practices; contribute to open source; write docs, postmortems, and public learnings. Requirements 8+ years in storage engineering with 3+ years managing distributed storage at multi petabyte scale. Proven track record deploying and operating high performance storage for GPU/HPC clusters. Deep Kubernetes and cloud native storage experience in production environments. Strong coding skills in Go and Python with demonstrated ability to build production grade tools. BS/MS in Computer Science, Engineering, or equivalent practical experience. History of technical leadership: designing systems that significantly improved performance (>3x), reliability (99.9%+ uptime), or cost. Distributed Storage Systems: Deep expertise in WekaFS, Lustre, GPFS, BeeGFS, or similar parallel filesystems at multi petabyte scale. Object Storage: Production experience with S3, MinIO, Ceph, or R2 including performance optimization and cost management. Kubernetes Storage: CSI drivers, StatefulSets, PersistentVolumes, storage operators, and custom controllers. Storage optimization for GPU workloads, RDMA/InfiniBand networking, parallel filesystem optimization (100+ GB/s aggregate cluster throughput). Programming: Go and Python for automation, operators, and tooling. Infrastructure as Code: Terraform, Ansible, Helm, GitOps (ArgoCD). Linux Storage Stack: Advanced knowledge of filesystems (ext4, xfs), LVM, NVMe optimization, RAID configurations. Observability: Prometheus, Grafana, Thanos architecture and operations. Nice to Have Skills GPU Direct Storage (GDS), NVMe oF, storage networking (100GbE/400GbE). Storage snapshots, cloning, and thin provisioning. Backup and disaster recovery (Velero, Restic, cross region replication). Storage encryption (at rest and in transit), security and compliance. Storage benchmarking and profiling tools (fio, iperf3, iostat, blktrace). About Together AI Together AI is a research driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co designing software, hardware, algorithms, and models. We have contributed to leading open source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full time position is: $160,000 - 260,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job related knowledge. Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Interested in building your career at Together AI? Get future opportunities sent straight to your email.
04/02/2026
Full time
Staff Engineer, Distributed Storage and HPC & AI Infrastructure About the Role In this role, you will design and deliver multi-petabyte storage systems purpose-built for the world's largest AI training and inference workloads. You'll architect high-performance parallel filesystems and object stores, evaluate and integrate cutting edge technologies such as WekaFS, Ceph, and Lustre, and drive aggressive cost optimization routinely achieving % savings through intelligent tiering, lifecycle policies, capacity forecasting, and right sizing. You will also build Kubernetes native storage operators and self service platforms that provide automated provisioning, strict multi tenancy, performance isolation, and quota enforcement at cluster scale. Day to day, you'll optimize end to end data paths for GB/s per node, design multi tier caching architectures, implement intelligent prefetching and model weight distribution, and tune parallel filesystems for AI workloads. Responsibilities Design multi petabyte AI/ML storage systems; integrate WekaFS, Ceph, etc.; lead capacity planning and cost optimization (% savings via tiering, lifecycle policies, right sizing). Design/optimize RDMA, InfiniBand, 400GbE networks; tune for max throughput/min latency; implement NVMe oF/iSCSI; troubleshoot bottlenecks; optimize TCP/IP for storage. Build Kubernetes storage operators/controllers; enable automated provisioning, self service abstractions, multi tenant isolation, quotas; create reusable Helm/Terraform patterns. Deliver GB/s per GPU node; optimize caching (weights/datasets/checkpoints), parallel filesystems, and data paths; troubleshoot with profiling tools; scale to thousands of nodes. Build multi tier caches (local NVMe, distributed, object); optimize data locality and model weight distribution; implement smart prefetching/eviction. Implement monitoring, alerting, SLOs; design DR/backups with runbooks; run chaos engineering; ensure 99.9%+ uptime via proactive/automated remediation. Partner with ML/SRE teams; mentor on storage best practices; contribute to open source; write docs, postmortems, and public learnings. Requirements 8+ years in storage engineering with 3+ years managing distributed storage at multi petabyte scale. Proven track record deploying and operating high performance storage for GPU/HPC clusters. Deep Kubernetes and cloud native storage experience in production environments. Strong coding skills in Go and Python with demonstrated ability to build production grade tools. BS/MS in Computer Science, Engineering, or equivalent practical experience. History of technical leadership: designing systems that significantly improved performance (>3x), reliability (99.9%+ uptime), or cost. Distributed Storage Systems: Deep expertise in WekaFS, Lustre, GPFS, BeeGFS, or similar parallel filesystems at multi petabyte scale. Object Storage: Production experience with S3, MinIO, Ceph, or R2 including performance optimization and cost management. Kubernetes Storage: CSI drivers, StatefulSets, PersistentVolumes, storage operators, and custom controllers. Storage optimization for GPU workloads, RDMA/InfiniBand networking, parallel filesystem optimization (100+ GB/s aggregate cluster throughput). Programming: Go and Python for automation, operators, and tooling. Infrastructure as Code: Terraform, Ansible, Helm, GitOps (ArgoCD). Linux Storage Stack: Advanced knowledge of filesystems (ext4, xfs), LVM, NVMe optimization, RAID configurations. Observability: Prometheus, Grafana, Thanos architecture and operations. Nice to Have Skills GPU Direct Storage (GDS), NVMe oF, storage networking (100GbE/400GbE). Storage snapshots, cloning, and thin provisioning. Backup and disaster recovery (Velero, Restic, cross region replication). Storage encryption (at rest and in transit), security and compliance. Storage benchmarking and profiling tools (fio, iperf3, iostat, blktrace). About Together AI Together AI is a research driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co designing software, hardware, algorithms, and models. We have contributed to leading open source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full time position is: $160,000 - 260,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job related knowledge. Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Interested in building your career at Together AI? Get future opportunities sent straight to your email.
Meta
Software Engineering Manager, Infrastructure
Meta Washington, Washington DC
Summary Meta is seeking a highly motivated and experienced Software Engineering Manager to join our team. As an engineering manager you will support, enable and empower your team, managing high performing engineers to make a meaningful impact on billions of people around the world. Software Engineering Managers are clearly characterized by progressive technical experience and demonstrated progression in management responsibility. Required Skills Software Engineering Manager, Infrastructure Responsibilities: Lead and manage a team of software engineers to deliver high-quality products and solutions Collaborate with cross-functional teams to drive technical innovation Develop and implement technical strategies to achieve business objectives Foster an environment of continuous learning, growth, and improvement Minimum Qualifications 8+ years of, or PhD + 4 years of software engineering work experience, including hands on technical management Demonstrated experience recruiting, building, structuring, and leading technical organizations, including performance management Bachelor of Science/Masters in Computer Science or equivalent practical experience Experience supporting, coaching, mentoring, and developing software engineers 2+ years of experience in managing a team of engineers with varied skill levels Preferred Qualifications Hands on technical management building large scale distributed systems Public Compensation $184,000/year to $257,000/year + bonus + equity + benefits Industry Internet Equal Opportunity Meta is proud to be an Equal Employment Opportunity and Affidative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at .
04/02/2026
Full time
Summary Meta is seeking a highly motivated and experienced Software Engineering Manager to join our team. As an engineering manager you will support, enable and empower your team, managing high performing engineers to make a meaningful impact on billions of people around the world. Software Engineering Managers are clearly characterized by progressive technical experience and demonstrated progression in management responsibility. Required Skills Software Engineering Manager, Infrastructure Responsibilities: Lead and manage a team of software engineers to deliver high-quality products and solutions Collaborate with cross-functional teams to drive technical innovation Develop and implement technical strategies to achieve business objectives Foster an environment of continuous learning, growth, and improvement Minimum Qualifications 8+ years of, or PhD + 4 years of software engineering work experience, including hands on technical management Demonstrated experience recruiting, building, structuring, and leading technical organizations, including performance management Bachelor of Science/Masters in Computer Science or equivalent practical experience Experience supporting, coaching, mentoring, and developing software engineers 2+ years of experience in managing a team of engineers with varied skill levels Preferred Qualifications Hands on technical management building large scale distributed systems Public Compensation $184,000/year to $257,000/year + bonus + equity + benefits Industry Internet Equal Opportunity Meta is proud to be an Equal Employment Opportunity and Affidative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at .
Software Engineer, Enterprise AI Platform
OpenAI San Francisco, California
Software Engineer, Enterprise AI Platform This role is centered on designing and deploying services and infrastructure that empower our models and agents to generate insights and execute tasks, all grounded in authorized data sources and internal systems. You'll help define the most effective data access patterns to unlock higher model accuracy and task performance. You will own the full lifecycle of your work-from architecture and implementation to production operations and on-call responsibilities. Success in this role requires a solid understanding of enterprise data management fundamentals, including security, identity and access, performance, and reliability. In This Role, You Will Design, build, and maintain infrastructure and networking systems that connect structured and unstructured data to LLMs in a performant and reliable manner. Design, build, and maintain secure and compliant systems to process sensitive and valuable data. Ensure our platform can support use cases at the scale of large enterprise customers, while remaining reliable and efficient. Integrate data access and authentication with our production model and agent systems. Collaborate with product, research and forward-deployed engineering teams to fill in the full picture on how to deploy production systems and achieve world-class results on overall task capabilities. Own the reliability of the systems you build, including participation in an on-call rotation for critical incidents. You Might Thrive In This Role If You Have expertise in deploying, configuring, and operating software systems within customer-managed infrastructure and networks. Are excited to bring the power of AGI to the infrastructure the world runs on today. Are comfortable with ambiguity and rapid change. Have an intrinsic desire to learn and fill in missing skills, and an equally strong talent for sharing learnings clearly and concisely with others. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy Compensation Range: $255K - $405K
04/02/2026
Full time
Software Engineer, Enterprise AI Platform This role is centered on designing and deploying services and infrastructure that empower our models and agents to generate insights and execute tasks, all grounded in authorized data sources and internal systems. You'll help define the most effective data access patterns to unlock higher model accuracy and task performance. You will own the full lifecycle of your work-from architecture and implementation to production operations and on-call responsibilities. Success in this role requires a solid understanding of enterprise data management fundamentals, including security, identity and access, performance, and reliability. In This Role, You Will Design, build, and maintain infrastructure and networking systems that connect structured and unstructured data to LLMs in a performant and reliable manner. Design, build, and maintain secure and compliant systems to process sensitive and valuable data. Ensure our platform can support use cases at the scale of large enterprise customers, while remaining reliable and efficient. Integrate data access and authentication with our production model and agent systems. Collaborate with product, research and forward-deployed engineering teams to fill in the full picture on how to deploy production systems and achieve world-class results on overall task capabilities. Own the reliability of the systems you build, including participation in an on-call rotation for critical incidents. You Might Thrive In This Role If You Have expertise in deploying, configuring, and operating software systems within customer-managed infrastructure and networks. Are excited to bring the power of AGI to the infrastructure the world runs on today. Are comfortable with ambiguity and rapid change. Have an intrinsic desire to learn and fill in missing skills, and an equally strong talent for sharing learnings clearly and concisely with others. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy Compensation Range: $255K - $405K
together
Senior Backend Engineer, Inference Platform
together San Francisco, California
Senior Backend Engineer, Inference Platform About the Team Together AI is building the Inference Platform that brings the most advanced generative AI models to the world. Our platform powers multi tenant serverless workloads and dedicated endpoints, enabling developers, enterprises, and researchers to harness the latest LLMs, multimodal models, image, audio, video, and speech models at scale. If you get a thrill from optimizing latency down to the last millisecond, this is your playground. You'll work hands on with tens of thousands of GPUs (H100s, H200s, GB200s, and beyond), figuring out how to fully utilize every FLOP and every gigabyte of memory. You'll collaborate directly with research teams to bring frontier models into production, making breakthroughs usable in the real world. Our team also works closely with the open source community, contributing to and leveraging projects like SGLang, vLLM, and NVIDIA Dynamo to push the boundaries of inference performance and efficiency. Some of What You'll Work On Build and optimize global and local request routing, ensuring low latency load balancing across data centers and model engine pods. Develop auto scaling systems to dynamically allocate resources and meet strict SLOs across dozens of data centers. Design systems for multi tenant traffic shaping, tuning both resource allocation and request handling - including smart rate limiting and regulation - to ensure fairness and consistent experience across all users. Engineer trade offs between latency and throughput to serve diverse workloads efficiently. Optimize prefix caching to reduce model compute and speed up responses. Collaborate with ML researchers to bring new model architectures into production at scale. Continuously profile and analyze system level performance to identify bottlenecks and implement optimizations. What We're Looking For 5+ years of demonstrated experience building large scale, fault tolerant, distributed systems and API microservices. Strong background in designing, analysing, and improving efficiency, scalability, and stability of complex systems. Excellent understanding of low level OS concepts: multi threading, memory management, networking, and storage performance. Expert level programming in one or more of: Rust, Go, Python, or TypeScript. Knowledge of modern LLMs and generative models and how they are served in production is a plus. Experience working with the open source ecosystem around inference is highly valuable; familiarity with SGLang, vLLM, or NVIDIA Dynamo will be especially handy. Experience with Kubernetes or container orchestration is a strong plus. Familiarity with GPU software stacks (CUDA, Triton, NCCL) and HPC technologies (InfiniBand, NVLink, MPI) is a plus. Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field, or equivalent practical experience. Why Join Us? Shape the core inference backbone that powers Together AI's frontier models. Solve performance critical challenges in global request routing, load balancing, and large scale resource allocation. Work with state of the art accelerators (H100s, H200s, GB200s) at global scale. Partner with world class researchers to bring new model architectures into production. Collaborate with and contribute to the open source community, shaping the tools that advance the industry. Enjoy a culture of deep technical ownership and high impact - where your work makes models faster, cheaper, and more accessible. Competitive compensation, equity, and benefits. About Together AI Together AI is a research driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co designing software, hardware, algorithms, and models. We have contributed to leading open source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. Compensation We offer competitive compensation, startup equity, health insurance, and other benefits. The US base salary range for this full time position is: $160,000 - $250,000 + equity + benefits. Our salary ranges are determined by location, level, and role. Individual compensation will be determined by experience, skills, and job related knowledge. Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
04/02/2026
Full time
Senior Backend Engineer, Inference Platform About the Team Together AI is building the Inference Platform that brings the most advanced generative AI models to the world. Our platform powers multi tenant serverless workloads and dedicated endpoints, enabling developers, enterprises, and researchers to harness the latest LLMs, multimodal models, image, audio, video, and speech models at scale. If you get a thrill from optimizing latency down to the last millisecond, this is your playground. You'll work hands on with tens of thousands of GPUs (H100s, H200s, GB200s, and beyond), figuring out how to fully utilize every FLOP and every gigabyte of memory. You'll collaborate directly with research teams to bring frontier models into production, making breakthroughs usable in the real world. Our team also works closely with the open source community, contributing to and leveraging projects like SGLang, vLLM, and NVIDIA Dynamo to push the boundaries of inference performance and efficiency. Some of What You'll Work On Build and optimize global and local request routing, ensuring low latency load balancing across data centers and model engine pods. Develop auto scaling systems to dynamically allocate resources and meet strict SLOs across dozens of data centers. Design systems for multi tenant traffic shaping, tuning both resource allocation and request handling - including smart rate limiting and regulation - to ensure fairness and consistent experience across all users. Engineer trade offs between latency and throughput to serve diverse workloads efficiently. Optimize prefix caching to reduce model compute and speed up responses. Collaborate with ML researchers to bring new model architectures into production at scale. Continuously profile and analyze system level performance to identify bottlenecks and implement optimizations. What We're Looking For 5+ years of demonstrated experience building large scale, fault tolerant, distributed systems and API microservices. Strong background in designing, analysing, and improving efficiency, scalability, and stability of complex systems. Excellent understanding of low level OS concepts: multi threading, memory management, networking, and storage performance. Expert level programming in one or more of: Rust, Go, Python, or TypeScript. Knowledge of modern LLMs and generative models and how they are served in production is a plus. Experience working with the open source ecosystem around inference is highly valuable; familiarity with SGLang, vLLM, or NVIDIA Dynamo will be especially handy. Experience with Kubernetes or container orchestration is a strong plus. Familiarity with GPU software stacks (CUDA, Triton, NCCL) and HPC technologies (InfiniBand, NVLink, MPI) is a plus. Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field, or equivalent practical experience. Why Join Us? Shape the core inference backbone that powers Together AI's frontier models. Solve performance critical challenges in global request routing, load balancing, and large scale resource allocation. Work with state of the art accelerators (H100s, H200s, GB200s) at global scale. Partner with world class researchers to bring new model architectures into production. Collaborate with and contribute to the open source community, shaping the tools that advance the industry. Enjoy a culture of deep technical ownership and high impact - where your work makes models faster, cheaper, and more accessible. Competitive compensation, equity, and benefits. About Together AI Together AI is a research driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co designing software, hardware, algorithms, and models. We have contributed to leading open source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. Compensation We offer competitive compensation, startup equity, health insurance, and other benefits. The US base salary range for this full time position is: $160,000 - $250,000 + equity + benefits. Our salary ranges are determined by location, level, and role. Individual compensation will be determined by experience, skills, and job related knowledge. Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Meta
Software Engineer (Leadership) - Infrastructure
Meta Honolulu, Hawaii
Summary Meta is seeking talented principal engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will oversee complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in leading a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply. Required Skills Software Engineer (Leadership) - Infrastructure Responsibilities: Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient. Effectively communicate complex features and systems in detail. Understand industry & company-wide trends to help assess & develop new technologies. Partner & collaborate with organization leaders to help improve the level of performance of the team & organization. Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas. Lead long term technical vision and roadmap for large cross-company efforts. Suggest, collect and synthesize requirements and create an effective feature roadmap. Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt. Minimum Qualifications Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term mission. Experience driving large cross-functional/industry-wide engineering efforts. Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions. Experience communicating and working across functions to drive solutions. Experience mentoring/influencing executive stakeholders across organizations. Preferred Qualifications Experience in programming languages such as C, C++, or Java, and scripting languages such as Python, Javascript, or Hack. Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes. 8+ years relevant experience building large-scale infrastructure applications or similar experience. $213,000/year to $293,000/year + bonus + equity + benefits Industry: Internet Equal Opportunity Meta is proud to be an Equal Employment Opportunity and Aff Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at .
04/02/2026
Full time
Summary Meta is seeking talented principal engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will oversee complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in leading a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply. Required Skills Software Engineer (Leadership) - Infrastructure Responsibilities: Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient. Effectively communicate complex features and systems in detail. Understand industry & company-wide trends to help assess & develop new technologies. Partner & collaborate with organization leaders to help improve the level of performance of the team & organization. Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas. Lead long term technical vision and roadmap for large cross-company efforts. Suggest, collect and synthesize requirements and create an effective feature roadmap. Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt. Minimum Qualifications Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term mission. Experience driving large cross-functional/industry-wide engineering efforts. Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions. Experience communicating and working across functions to drive solutions. Experience mentoring/influencing executive stakeholders across organizations. Preferred Qualifications Experience in programming languages such as C, C++, or Java, and scripting languages such as Python, Javascript, or Hack. Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes. 8+ years relevant experience building large-scale infrastructure applications or similar experience. $213,000/year to $293,000/year + bonus + equity + benefits Industry: Internet Equal Opportunity Meta is proud to be an Equal Employment Opportunity and Aff Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at .
Senior Data Scientist
Cardinal Health Honolulu, Hawaii
Overview Data Science contributes to Cardinal Health within the Data & Analytics Function, which oversees the analytics life-cycle to identify, analyze and present insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base scientific methodologies from various disciplines, techniques and tools to extract knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and AI. Our mission is to leverage data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. Responsibilities Lead the Development of Innovative AI solutions: design, implement, and scale sophisticated AI solutions that address key business challenges within healthcare by leveraging areas such as Machine Learning, Generative AI, and RAG Technologies. Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. Explore and leverage Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate outputs. Shape Our AI Strategy: Work with stakeholders across the organization to understand needs and translate them into actionable AI-driven or AI-powered solutions. Act as a champion for AI within Cardinal Health, influencing the technology roadmap and aligning with business objectives. Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a distributed team, fostering a collaborative and innovative environment. Embrace an AI-Driven Culture: promote data-driven decision-making and use AI insights to drive business outcomes and improve customer experience and patient care. Qualifications 8-12 years of experience with a minimum of 4 years in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred Bachelor's degree in related field, or equivalent work experience, preferred GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth Experience building production-ready Generative AI Applications involving RAGs, LLMs, vector databases and embeddings models. Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. Experience with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support, preferred. Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences, preferred. Proficiency in Python, statistical programming languages, ML libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools, preferred. Experience in Cloud Functions, Vertex AI, MLFlow, Storage Buckets, IAM Principles and Service Accounts, preferred. Experience building end-to-end ML pipelines from data ingestion and feature engineering to model training, deployment, and scaling, preferred. Experience implementing CI/CD pipelines for ML models and other solutions, ensuring seamless production deployment, preferred. Familiarity with RESTful API design and implementation, including building APIs to integrate ML models and GenAI solutions with existing systems, preferred. Understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with emphasis on ML/GenAI, preferred. Experience in Agile development environments (Scrum or Kanban) and strong understanding of Agile principles, preferred. Familiarity with DevSecOps principles and practices, incorporating coding standards and security into the development lifecycle, preferred. What is expected of you and others at this level Applies advanced knowledge to manage a wide variety of projects Participates in developing policies and procedures to achieve goals Recommends new practices, processes, metrics, or models Works on or may lead complex projects of large scope Projects may have significant and long-term impact Provides solutions that may set precedent Independently determines methods for completion of new projects Receives guidance on overall project objectives Acts as a mentor to less experienced colleagues Anticipated salary range: $121,600 - $173,700 Bonus eligible: Yes Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being. Medical, dental and vision coverage Paid time off plan Health savings account (HSA) 401k savings plan Access to wages before pay day with myFlexPay Flexible spending accounts (FSAs) Short- and long-term disability coverage Work-Life resources Paid parental leave Healthy lifestyle programs Application window anticipated to close: 11/05/2025 If interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by factors including geographical location, relevant education, experience and skills and an evaluation of internal pay equity. Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply. Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law. To read and review this privacy notice click here ()
04/02/2026
Full time
Overview Data Science contributes to Cardinal Health within the Data & Analytics Function, which oversees the analytics life-cycle to identify, analyze and present insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base scientific methodologies from various disciplines, techniques and tools to extract knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and AI. Our mission is to leverage data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. Responsibilities Lead the Development of Innovative AI solutions: design, implement, and scale sophisticated AI solutions that address key business challenges within healthcare by leveraging areas such as Machine Learning, Generative AI, and RAG Technologies. Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. Explore and leverage Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate outputs. Shape Our AI Strategy: Work with stakeholders across the organization to understand needs and translate them into actionable AI-driven or AI-powered solutions. Act as a champion for AI within Cardinal Health, influencing the technology roadmap and aligning with business objectives. Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a distributed team, fostering a collaborative and innovative environment. Embrace an AI-Driven Culture: promote data-driven decision-making and use AI insights to drive business outcomes and improve customer experience and patient care. Qualifications 8-12 years of experience with a minimum of 4 years in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred Bachelor's degree in related field, or equivalent work experience, preferred GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth Experience building production-ready Generative AI Applications involving RAGs, LLMs, vector databases and embeddings models. Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. Experience with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support, preferred. Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences, preferred. Proficiency in Python, statistical programming languages, ML libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools, preferred. Experience in Cloud Functions, Vertex AI, MLFlow, Storage Buckets, IAM Principles and Service Accounts, preferred. Experience building end-to-end ML pipelines from data ingestion and feature engineering to model training, deployment, and scaling, preferred. Experience implementing CI/CD pipelines for ML models and other solutions, ensuring seamless production deployment, preferred. Familiarity with RESTful API design and implementation, including building APIs to integrate ML models and GenAI solutions with existing systems, preferred. Understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with emphasis on ML/GenAI, preferred. Experience in Agile development environments (Scrum or Kanban) and strong understanding of Agile principles, preferred. Familiarity with DevSecOps principles and practices, incorporating coding standards and security into the development lifecycle, preferred. What is expected of you and others at this level Applies advanced knowledge to manage a wide variety of projects Participates in developing policies and procedures to achieve goals Recommends new practices, processes, metrics, or models Works on or may lead complex projects of large scope Projects may have significant and long-term impact Provides solutions that may set precedent Independently determines methods for completion of new projects Receives guidance on overall project objectives Acts as a mentor to less experienced colleagues Anticipated salary range: $121,600 - $173,700 Bonus eligible: Yes Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being. Medical, dental and vision coverage Paid time off plan Health savings account (HSA) 401k savings plan Access to wages before pay day with myFlexPay Flexible spending accounts (FSAs) Short- and long-term disability coverage Work-Life resources Paid parental leave Healthy lifestyle programs Application window anticipated to close: 11/05/2025 If interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by factors including geographical location, relevant education, experience and skills and an evaluation of internal pay equity. Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply. Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law. To read and review this privacy notice click here ()
AI/HPC System Architect
SK hynix America
Job Title: AIHPC System Architect, Principal Engineer Office Location: San Jose, CA Job Type: Full-Time Work Model: Onsite About SK hynix America At SK hynix America, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape. We're looking for innovative minds to join our mission of shaping the future of technology. At SK hynix America, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change - we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing. Job Summary: As an AI/HPC System Architect, your primary responsibility will be to conceptualize the architecture of next-generation AI and HPC system. This involves leveraging advanced memory to create efficient and high-performance systems. Drawing from your extensive experience in AI and HPC infrastructure design, you will derive design requirements, guide the direction of advanced memory solutions, and continuously monitor industry trends. Additionally, you will foster collaborations with cloud service providers, OEMs, national labs, and other stakeholders to facilitate on-site proof-of-concept initiatives aligned with the proposed infrastructure architecture. Responsibilities: Design next-generation AI and HPC infrastructure that utilizes advanced memory solutions to optimize performance and power efficiency. Derive design requirements for advanced memory solutions based on your extensive experience in AI and HPC infrastructure design. Continuously monitor industry trends and emerging technologies related to AI and HPC infrastructure from sources such as cloud service providers, OEMs, and national labs. Promote and establish collaborative partnerships with customers for on-site proof-of-concept initiatives involving advanced memory solutions, aligning with the proposed infrastructure architecture. Provide strategic direction and recommendations for the adoption and integration of advanced memory solutions within the infrastructure. Qualification: Ph.D in Electrical and Computer Engineering, or related field with 15+ years of experience in system architecture for large-scale computing, with specific AI focus preferred. Strong understanding of compute, memory, and networking bottlenecks in AI systems. Deep expertise in AI system design, and knowledge in LLMs, GNN, DLRMs, and other representative AI workloads. Background in hardware/software co-design for AI or HPC systems Effective collaboration and partnership-building skills for engaging with customers and stakeholders. Experience in planning and executing on-site proof-of-concept initiatives to validate infrastructure solutions. Excellent communication skills to convey architectural concepts and influence stakeholders. SKHYA is an Equal Employment Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees and prohibit discrimination and harassment of any type without regard to race, sex, pregnancy, sexual orientation, religion, age, gender identity, national origin, color, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws. Compensation: Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. Pay within the provided range varies by work location and may also depend on job-related skills and experience. Your Recruiter can share more about the specific salary range for the job location during the hiring process. Pay Range $180,000 - $240,000 USD Apply for this job indicates a required field First Name Last Name Email Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Education School Select Degree Select Select Select Start date year End date month Select End date year Are you authorized to work in US? Select Will you now or in the future require sponsorship for employment visa status (e.g., H-1B visa)? Select
04/02/2026
Full time
Job Title: AIHPC System Architect, Principal Engineer Office Location: San Jose, CA Job Type: Full-Time Work Model: Onsite About SK hynix America At SK hynix America, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape. We're looking for innovative minds to join our mission of shaping the future of technology. At SK hynix America, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change - we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing. Job Summary: As an AI/HPC System Architect, your primary responsibility will be to conceptualize the architecture of next-generation AI and HPC system. This involves leveraging advanced memory to create efficient and high-performance systems. Drawing from your extensive experience in AI and HPC infrastructure design, you will derive design requirements, guide the direction of advanced memory solutions, and continuously monitor industry trends. Additionally, you will foster collaborations with cloud service providers, OEMs, national labs, and other stakeholders to facilitate on-site proof-of-concept initiatives aligned with the proposed infrastructure architecture. Responsibilities: Design next-generation AI and HPC infrastructure that utilizes advanced memory solutions to optimize performance and power efficiency. Derive design requirements for advanced memory solutions based on your extensive experience in AI and HPC infrastructure design. Continuously monitor industry trends and emerging technologies related to AI and HPC infrastructure from sources such as cloud service providers, OEMs, and national labs. Promote and establish collaborative partnerships with customers for on-site proof-of-concept initiatives involving advanced memory solutions, aligning with the proposed infrastructure architecture. Provide strategic direction and recommendations for the adoption and integration of advanced memory solutions within the infrastructure. Qualification: Ph.D in Electrical and Computer Engineering, or related field with 15+ years of experience in system architecture for large-scale computing, with specific AI focus preferred. Strong understanding of compute, memory, and networking bottlenecks in AI systems. Deep expertise in AI system design, and knowledge in LLMs, GNN, DLRMs, and other representative AI workloads. Background in hardware/software co-design for AI or HPC systems Effective collaboration and partnership-building skills for engaging with customers and stakeholders. Experience in planning and executing on-site proof-of-concept initiatives to validate infrastructure solutions. Excellent communication skills to convey architectural concepts and influence stakeholders. SKHYA is an Equal Employment Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees and prohibit discrimination and harassment of any type without regard to race, sex, pregnancy, sexual orientation, religion, age, gender identity, national origin, color, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws. Compensation: Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. Pay within the provided range varies by work location and may also depend on job-related skills and experience. Your Recruiter can share more about the specific salary range for the job location during the hiring process. Pay Range $180,000 - $240,000 USD Apply for this job indicates a required field First Name Last Name Email Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Education School Select Degree Select Select Select Start date year End date month Select End date year Are you authorized to work in US? Select Will you now or in the future require sponsorship for employment visa status (e.g., H-1B visa)? Select

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