RELOCATION ASSISTANCE: Relocation assistance may be availableCLEARANCE TYPE: SecretTRAVEL: Yes, 10% of the TimeDescriptionAt Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. At the heart of Defining Possible is our commitment to missions. In rapidly changing global security environments, Northrop Grumman brings informed insights and software-secure technology to enable strategic planning. We're looking for innovators who can help us keep building on our wide portfolio of secure, affordable, integrated, and multi-domain systems and technologies that fuel those missions. By joining in our shared mission, we'll support yours of expanding your personal network and developing skills, whether you are new to the field, or an industry thought leader. At Northrop Grumman, you'll have the resources, support, and team to do some of the best work of your career. Northrop Grumman Mission Systems is seeking aPrincipal/Senior Principal Electromechanical Design Engineer to join our team of qualified, diverse individuals. This position will be located in Linthicum, Maryland and will require 100% on-site work. What You'll Get to Do: Design, prototyping and production support of state-of-the-art RF, digital, and mixed signal multi-chip modules (MCMs), Printed Wiring Boards (PWBs), and Circuit Card Assemblies (CCAs) using various substrate materials and chip-scale packaging technologies Collaboration within a cross-functional Integrated Product Team (IPT); effective and timely communication with peers in adjacent functions, including electrical design, systems engineering, thermal analysis, structural analysis, drafting, supply chain management and manufacturing. Organizing and prioritizing tasks to accomplish project milestones within schedule and budgetary constraints. Providing technical leadership and mentoring to less experienced personnel. This position may be filled as a Principal Electromechanical Design Engineer or a Senior Principal Electromechanical Design Engineer. This position is contingent upon contract award and the ability to obtain an active DoD Secret Clearance or the successful transfer of an active DoD Secret Clearance prior to start. Basic Qualifications for Principal Electromechanical Design Engineer: Bachelor's degree with 5 years of experience, a master's degree with 3 years of experience or a PhD with 1 year of experience in Mechanical Engineering, Electrical Engineering, Computer Engineering, Computer Science, or related technical fields. Will consider 4 years of applied experience in lieu of degree requirement U.S Citizenship is required. The ability to obtain/maintain a DoD Active Secret clearance. A current/active clearance is not required to be considered for the position, but a final clearance is required to start Experience with PWB/CCA design and signal routing, including chip-scale packaging technologies and substratePWB layout Working knowledge of materials, specifications, manufacturing processes and design tools utilized for multi-chip modules, PWBs and CCAs Proficient with AutoCAD and/or Xpedition software Familiarity with NX or other 3D modeling software Basic Qualifications Senior Principal Electromechanical Design Engineer: Bachelor's degree with 8 years of experience, a master's degree with 6 years of experience or a PhD with 4 years of experience in Mechanical Engineering, Electrical Engineering, Computer Engineering, Computer Science, or related technical fields. Will consider 4 years of applied experience in lieu of degree requirement. U.S Citizenship is required. The ability to obtain/maintain a DoD Active Secret clearance. A current/active clearance is not required to be considered for the position, but a final clearance is required to start Experience with PWB/CCA design and signal routing, including chip-scale packaging technologies and substratePWB layout Working knowledge of materials, specifications, manufacturing processes and design tools utilized for multi-chip modules, PWBs and CCAs Proficient with AutoCAD and/or Xpedition software Familiarity with NX or other 3D modeling software Preferred Qualifications: Advanced degrees in Mechanical Engineering, Electrical Engineering, Computer Engineering, Computer Science, or related technical fields. A current/active DoD Secret Clearance or higher Proficiency with ASME Y14.5 geometric dimensioning and tolerancing (GD&T) and ASME Y14.100 engineering drawing practices Familiarity with thermal and structural analysis considerations, methodologies, and software tools Experience with hands-on assembly and testing of prototype electronic hardware Experience in a technical leadership role on a cross-functional product development team Experience routing RF signals Northrop Grumman provides a comprehensive benefits package and a work environment which encourages your growth and supports the mutual success of our people and our company. Northrop Grumman benefits give you the flexibility and control to choose the benefits that make the most sense for you and your family. Your benefits will include the following: Health Plan, Savings Plan, Paid Time Off and Additional Benefits including Education Assistance, Training and Development, 9/80 Work Schedule (where available), and much more! Northrop Grumman has approximately 90,000 employees in all 50 states and in more than 27 countries. We strive to attract and retain the best employees by providing an inclusive work environment wherein employees are receptive to diverse ideas, perspectives, and talents to help solve our toughest customer challenges: to develop and maintain some of the most technically sophisticated products, programs, and services in the world. Our Values. The women and men of Northrop Grumman Corporation are guided by Our Values. They describe our company as we want it to be. We want our decisions and actions to demonstrate these Values. We believe that putting Our Values into practice creates long-term benefits for shareholders, customers, employees, suppliers, and the communities we serve. Our Responsibility. At Northrop Grumman, we are committed to maintaining the highest of ethical standards, embracing diversity and inclusion, protecting the environment, and striving to be an ideal corporate citizen in the community and in the world. Primary Level Salary Range: $105,400.00 - $158,000.00Secondary Level Salary Range: $131,100.00 - $196,700.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
04/05/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be availableCLEARANCE TYPE: SecretTRAVEL: Yes, 10% of the TimeDescriptionAt Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. At the heart of Defining Possible is our commitment to missions. In rapidly changing global security environments, Northrop Grumman brings informed insights and software-secure technology to enable strategic planning. We're looking for innovators who can help us keep building on our wide portfolio of secure, affordable, integrated, and multi-domain systems and technologies that fuel those missions. By joining in our shared mission, we'll support yours of expanding your personal network and developing skills, whether you are new to the field, or an industry thought leader. At Northrop Grumman, you'll have the resources, support, and team to do some of the best work of your career. Northrop Grumman Mission Systems is seeking aPrincipal/Senior Principal Electromechanical Design Engineer to join our team of qualified, diverse individuals. This position will be located in Linthicum, Maryland and will require 100% on-site work. What You'll Get to Do: Design, prototyping and production support of state-of-the-art RF, digital, and mixed signal multi-chip modules (MCMs), Printed Wiring Boards (PWBs), and Circuit Card Assemblies (CCAs) using various substrate materials and chip-scale packaging technologies Collaboration within a cross-functional Integrated Product Team (IPT); effective and timely communication with peers in adjacent functions, including electrical design, systems engineering, thermal analysis, structural analysis, drafting, supply chain management and manufacturing. Organizing and prioritizing tasks to accomplish project milestones within schedule and budgetary constraints. Providing technical leadership and mentoring to less experienced personnel. This position may be filled as a Principal Electromechanical Design Engineer or a Senior Principal Electromechanical Design Engineer. This position is contingent upon contract award and the ability to obtain an active DoD Secret Clearance or the successful transfer of an active DoD Secret Clearance prior to start. Basic Qualifications for Principal Electromechanical Design Engineer: Bachelor's degree with 5 years of experience, a master's degree with 3 years of experience or a PhD with 1 year of experience in Mechanical Engineering, Electrical Engineering, Computer Engineering, Computer Science, or related technical fields. Will consider 4 years of applied experience in lieu of degree requirement U.S Citizenship is required. The ability to obtain/maintain a DoD Active Secret clearance. A current/active clearance is not required to be considered for the position, but a final clearance is required to start Experience with PWB/CCA design and signal routing, including chip-scale packaging technologies and substratePWB layout Working knowledge of materials, specifications, manufacturing processes and design tools utilized for multi-chip modules, PWBs and CCAs Proficient with AutoCAD and/or Xpedition software Familiarity with NX or other 3D modeling software Basic Qualifications Senior Principal Electromechanical Design Engineer: Bachelor's degree with 8 years of experience, a master's degree with 6 years of experience or a PhD with 4 years of experience in Mechanical Engineering, Electrical Engineering, Computer Engineering, Computer Science, or related technical fields. Will consider 4 years of applied experience in lieu of degree requirement. U.S Citizenship is required. The ability to obtain/maintain a DoD Active Secret clearance. A current/active clearance is not required to be considered for the position, but a final clearance is required to start Experience with PWB/CCA design and signal routing, including chip-scale packaging technologies and substratePWB layout Working knowledge of materials, specifications, manufacturing processes and design tools utilized for multi-chip modules, PWBs and CCAs Proficient with AutoCAD and/or Xpedition software Familiarity with NX or other 3D modeling software Preferred Qualifications: Advanced degrees in Mechanical Engineering, Electrical Engineering, Computer Engineering, Computer Science, or related technical fields. A current/active DoD Secret Clearance or higher Proficiency with ASME Y14.5 geometric dimensioning and tolerancing (GD&T) and ASME Y14.100 engineering drawing practices Familiarity with thermal and structural analysis considerations, methodologies, and software tools Experience with hands-on assembly and testing of prototype electronic hardware Experience in a technical leadership role on a cross-functional product development team Experience routing RF signals Northrop Grumman provides a comprehensive benefits package and a work environment which encourages your growth and supports the mutual success of our people and our company. Northrop Grumman benefits give you the flexibility and control to choose the benefits that make the most sense for you and your family. Your benefits will include the following: Health Plan, Savings Plan, Paid Time Off and Additional Benefits including Education Assistance, Training and Development, 9/80 Work Schedule (where available), and much more! Northrop Grumman has approximately 90,000 employees in all 50 states and in more than 27 countries. We strive to attract and retain the best employees by providing an inclusive work environment wherein employees are receptive to diverse ideas, perspectives, and talents to help solve our toughest customer challenges: to develop and maintain some of the most technically sophisticated products, programs, and services in the world. Our Values. The women and men of Northrop Grumman Corporation are guided by Our Values. They describe our company as we want it to be. We want our decisions and actions to demonstrate these Values. We believe that putting Our Values into practice creates long-term benefits for shareholders, customers, employees, suppliers, and the communities we serve. Our Responsibility. At Northrop Grumman, we are committed to maintaining the highest of ethical standards, embracing diversity and inclusion, protecting the environment, and striving to be an ideal corporate citizen in the community and in the world. Primary Level Salary Range: $105,400.00 - $158,000.00Secondary Level Salary Range: $131,100.00 - $196,700.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
Description: The Gund Company has an immediate opening for a Product Applications Engineer to join our Business Development team! This is NOT a Computer Software Engineer position Annual Salary: $95,000+ (DOE) Plant/Work Location : 9333 Dielman Industrial Drive, St. Louis, MO 63132 Market/Value Stream: Electrical Transformers Training: 3-6 months The Gund Company , a leader in engineered material solutions, specializes in customized electrical insulation products. With 16 global facilities, we pride ourselves on delivering high-quality products and excellent customer service. We are currently seeking an Applications Engineer - Electrical Transformers to join our team at our Corporate Headquarters located in St. Louis, MO. Job Summary The Applications Engineer - Electrical Transformers is responsible for developing technical expertise within the Electrical Transformer Market and obtains an understanding of customer applications to assist customers with engineered solutions and to support the development of new products for the market. Job Duties Serve as the subject matter expert for customer applications with an ability to communicate to internal and external stakeholders in how our products and services can satisfy customer requirements. Support new product development projects from research, through planning and implementation. Develop marketing content (data sheets, white papers, technical bulletins, advertising materials, technical video, webinar, application engineering profile, etc.) to promote our technical expertise. Requirements: Bachelor of Science in Engineering required. 3-5+ years ' experience with Electrical Transformers or similar (Product Application Support or Design roles will be considered) Ability to understand customer's application requirements and translate that into understanding internal capability development. Position is subject to meeting ITAR requirements. Preferred Electrical, plastics, composites, aramid, cellulose or elastomeric experience. Creating technical white papers and bulletins. Creating technical marketing materials. Bilingual in Spanish and/or French a plus. Travel: 25% Why Join Us? Safe, healthy, and inclusive work environment PTO and paid holidays Comprehensive, cost-effective benefits: Health, Dental, Vision, Life, Disability 401(k) with 50% employer match (up to 6% of contributions) Employee Stock Ownership Plan (ESOP) Tuition Reimbursement Ongoing training and development programs Ready to Make an Impact as an Applications Engineer specializing in Electrical Transformers? Apply today and bring your creative vision to The Gund Company-where your ideas drive actual results and your career growth is our priority. The Gund Company is an Equal Opportunity Employer. Reasonable accommodations are available for individuals with disabilities for the role of Applications Engineer - Electrical Transformers . Compensation details: 00 Yearly Salary PI7e07b85b2c78-8631
04/05/2026
Full time
Description: The Gund Company has an immediate opening for a Product Applications Engineer to join our Business Development team! This is NOT a Computer Software Engineer position Annual Salary: $95,000+ (DOE) Plant/Work Location : 9333 Dielman Industrial Drive, St. Louis, MO 63132 Market/Value Stream: Electrical Transformers Training: 3-6 months The Gund Company , a leader in engineered material solutions, specializes in customized electrical insulation products. With 16 global facilities, we pride ourselves on delivering high-quality products and excellent customer service. We are currently seeking an Applications Engineer - Electrical Transformers to join our team at our Corporate Headquarters located in St. Louis, MO. Job Summary The Applications Engineer - Electrical Transformers is responsible for developing technical expertise within the Electrical Transformer Market and obtains an understanding of customer applications to assist customers with engineered solutions and to support the development of new products for the market. Job Duties Serve as the subject matter expert for customer applications with an ability to communicate to internal and external stakeholders in how our products and services can satisfy customer requirements. Support new product development projects from research, through planning and implementation. Develop marketing content (data sheets, white papers, technical bulletins, advertising materials, technical video, webinar, application engineering profile, etc.) to promote our technical expertise. Requirements: Bachelor of Science in Engineering required. 3-5+ years ' experience with Electrical Transformers or similar (Product Application Support or Design roles will be considered) Ability to understand customer's application requirements and translate that into understanding internal capability development. Position is subject to meeting ITAR requirements. Preferred Electrical, plastics, composites, aramid, cellulose or elastomeric experience. Creating technical white papers and bulletins. Creating technical marketing materials. Bilingual in Spanish and/or French a plus. Travel: 25% Why Join Us? Safe, healthy, and inclusive work environment PTO and paid holidays Comprehensive, cost-effective benefits: Health, Dental, Vision, Life, Disability 401(k) with 50% employer match (up to 6% of contributions) Employee Stock Ownership Plan (ESOP) Tuition Reimbursement Ongoing training and development programs Ready to Make an Impact as an Applications Engineer specializing in Electrical Transformers? Apply today and bring your creative vision to The Gund Company-where your ideas drive actual results and your career growth is our priority. The Gund Company is an Equal Opportunity Employer. Reasonable accommodations are available for individuals with disabilities for the role of Applications Engineer - Electrical Transformers . Compensation details: 00 Yearly Salary PI7e07b85b2c78-8631
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.
04/05/2026
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.
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.
04/05/2026
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.
We are looking for a software engineering leader who is passionate about creating next-generation healthcare software that will dramatically improve the lives of patients, clinicians, and caregivers. This person will have the opportunity to lead a team through early stages of product development, while contributing some code of their own and continuing to grow their own skill set. The ideal candidate has full stack experience building SaaS and/or Cloud Native software for a regulated industry. Additionally, the Senior Principal Software Engineer will bring deep expertise in one or more technologies including distributed microservice architecture, Go, Ent, gRPC, Twirp, and/or AWS technologies like EventBridge and Aurora. Sharing knowledge and mentoring members of a growing team will be key. The Senior Principal Software Engineer should enjoy leading in an Agile collaborative environment with product managers, designers, external partners, and other engineers working together to build a high quality, consumer-oriented product from the ground up. About Tendo Make an impact-join our team! We're a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes' Top Startup Employers for 2024. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences. If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today! Job Location Tendo has hubs in San Francisco, CA; San Diego, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Candidates may be located in any one of our hub locations. Responsibilities Translate abstract concepts into tangible tooling solutions that enhance the organization's ability to build customer-facing applications with improved structure and extensibility. Lead performance enhancement and optimization efforts to ensure our microservices and applications can support 10K+ users. Lead a team of engineers responsible for architecting, building, documenting, testing, and debugging a large consumer-facing application with significant daily usage. Serve as technical owner and subject matter expert for more than one service area. Collaborate closely with product owners and designers to understand user needs and lead the translation of wireframes and other requirements into technical requirements and detailed architecture. Maintain relationships with other teams to help ensure consistency in some key areas like architecture. Learn and use Go and potentially other back-end languages, along with technologies and frameworks like gRPC/Twirp, Ent, and various AWS technologies, to produce, modify, and maintain APIs, microservices, event streams/queues, and similar. Write automated tests for all code and use Behavior Driven Development practices. Write infrastructure as code using Serverless Framework. Perform code review and enhance the team's code review practices as needed. Provide expertise in Web, API, database, and/or cloud technologies and frameworks, including React, TypeScript, Go, gRPC, Twirp, Ent, Serverless Framework, and/or AWS technologies like EventBridge and Aurora. Provide guidance, mentorship, and subject matter expertise to other team members. Lead creation of technical documentation describing architecture decisions. Identify and evaluate new technologies and frameworks that may need to be added to our stack. Support and implement the latest standards in securing data to meet HIPAA requirements. Requirements Bachelor's degree (BS/BA) in Computer Science, Software Engineering, or similar major OR equivalent professional experience or software development certification (including bootcamp). 10+ years of professional software engineering experience. 5+ years in a team lead role, using Agile practices/processes. 5+ years professional experience developing Cloud Native applications/products on AWS, Azure, or GCP (AWS preferred) OR 5+ years professional experience with Go/Golang OR 5+ years professional experience with React + TypeScript. Strong ability to communicate development approaches and plans within and across teams. Professional experience with modern version control systems (e.g., Git) and tools (e.g., Bitbucket, GitHub, GitLab). Nice to Have Experience working in a startup environment. Knowledge of the healthcare industry and HL7 standards like FHIR. Experience writing infrastructure as code using Serverless Framework. Experience with graph data modeling (i.e., using Ent). Experience with event streaming frameworks. Experience with gRPC/Twirp. AWS certification(s). Base Salary Range $156,400-$211,600 This salary range is offered with the understanding that final compensation is based on a number of factors including geography and experience. Tendo also offers an equity package, annual bonuses, and benefits. Benefits For full time employees, Tendo also offers full health benefits (medical, dental, and vision), flexible spending and health savings accounts, company paid life insurance, company paid short-term and long-term disability, company equity, voluntary benefits, 401(k), company paid holidays, flexible time off, and an employee wellness program ("Breathe"). Tendo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.
04/05/2026
Full time
We are looking for a software engineering leader who is passionate about creating next-generation healthcare software that will dramatically improve the lives of patients, clinicians, and caregivers. This person will have the opportunity to lead a team through early stages of product development, while contributing some code of their own and continuing to grow their own skill set. The ideal candidate has full stack experience building SaaS and/or Cloud Native software for a regulated industry. Additionally, the Senior Principal Software Engineer will bring deep expertise in one or more technologies including distributed microservice architecture, Go, Ent, gRPC, Twirp, and/or AWS technologies like EventBridge and Aurora. Sharing knowledge and mentoring members of a growing team will be key. The Senior Principal Software Engineer should enjoy leading in an Agile collaborative environment with product managers, designers, external partners, and other engineers working together to build a high quality, consumer-oriented product from the ground up. About Tendo Make an impact-join our team! We're a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes' Top Startup Employers for 2024. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences. If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today! Job Location Tendo has hubs in San Francisco, CA; San Diego, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Candidates may be located in any one of our hub locations. Responsibilities Translate abstract concepts into tangible tooling solutions that enhance the organization's ability to build customer-facing applications with improved structure and extensibility. Lead performance enhancement and optimization efforts to ensure our microservices and applications can support 10K+ users. Lead a team of engineers responsible for architecting, building, documenting, testing, and debugging a large consumer-facing application with significant daily usage. Serve as technical owner and subject matter expert for more than one service area. Collaborate closely with product owners and designers to understand user needs and lead the translation of wireframes and other requirements into technical requirements and detailed architecture. Maintain relationships with other teams to help ensure consistency in some key areas like architecture. Learn and use Go and potentially other back-end languages, along with technologies and frameworks like gRPC/Twirp, Ent, and various AWS technologies, to produce, modify, and maintain APIs, microservices, event streams/queues, and similar. Write automated tests for all code and use Behavior Driven Development practices. Write infrastructure as code using Serverless Framework. Perform code review and enhance the team's code review practices as needed. Provide expertise in Web, API, database, and/or cloud technologies and frameworks, including React, TypeScript, Go, gRPC, Twirp, Ent, Serverless Framework, and/or AWS technologies like EventBridge and Aurora. Provide guidance, mentorship, and subject matter expertise to other team members. Lead creation of technical documentation describing architecture decisions. Identify and evaluate new technologies and frameworks that may need to be added to our stack. Support and implement the latest standards in securing data to meet HIPAA requirements. Requirements Bachelor's degree (BS/BA) in Computer Science, Software Engineering, or similar major OR equivalent professional experience or software development certification (including bootcamp). 10+ years of professional software engineering experience. 5+ years in a team lead role, using Agile practices/processes. 5+ years professional experience developing Cloud Native applications/products on AWS, Azure, or GCP (AWS preferred) OR 5+ years professional experience with Go/Golang OR 5+ years professional experience with React + TypeScript. Strong ability to communicate development approaches and plans within and across teams. Professional experience with modern version control systems (e.g., Git) and tools (e.g., Bitbucket, GitHub, GitLab). Nice to Have Experience working in a startup environment. Knowledge of the healthcare industry and HL7 standards like FHIR. Experience writing infrastructure as code using Serverless Framework. Experience with graph data modeling (i.e., using Ent). Experience with event streaming frameworks. Experience with gRPC/Twirp. AWS certification(s). Base Salary Range $156,400-$211,600 This salary range is offered with the understanding that final compensation is based on a number of factors including geography and experience. Tendo also offers an equity package, annual bonuses, and benefits. Benefits For full time employees, Tendo also offers full health benefits (medical, dental, and vision), flexible spending and health savings accounts, company paid life insurance, company paid short-term and long-term disability, company equity, voluntary benefits, 401(k), company paid holidays, flexible time off, and an employee wellness program ("Breathe"). Tendo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.
Auria is a provider of solutions and software in support of complex Space, National Security, and Cyber missions of federal, international, and commercial customers. Headquartered in Colorado Springs, CO our success is built on the excellence of diverse teams advancing innovative systems and operational software to strengthen our customers' missions. With a distinguished track record and a spirit of relentless pursuit, and R&D, we set the pace for progress and execute every mission with the utmost precision. Auria is seeking a Chief Engineer to join our outstanding team in a hybrid position based in Colorado. The Chief Engineer will lead the development and maturation of advanced software solutions You will be the chief technical authority that works closely with Program Management and technical SMEs to develop software solutions for critical space assets. WHAT YOU CAN EXPECT TO DO: Software Development - Engage in the entire development lifecycle, from requirement analysis to post-production support, ensuring quality and consistency. Prototype Development - Develop prototypes and proofs-of-concept as assigned by program management and participate in Agile ceremonies, code reviews, testing, and debugging to maintain high software standards. Participate in system design and delivery decisions with understanding of space domain operations, ground enterprise architecture, and MWT mission needs. Documentation and Communication - Produce essential system documentation and effectively communicate complex technical details to various stakeholders, ensuring clarity and understanding. Recommend Future Improvements - Communicate with system engineers and the software architect to proactively identify areas of improvement within software applications and recommend solutions to enhance functionality and the user experience. Collaboration and Continuous Improvement - Collaborate closely with interdisciplinary teams to define and implement innovative software solutions for space and communications projects. WHAT THE TEAM REQUIRES: Active U.S. Government SECRET security clearance (requires U.S. Citizenship) Experience in software development, with demonstrated proficiency in C++, Java / Groovy, or Python coding languages and experience with common development environments and tools such as Visual Studio, Eclipse, or IntelliJ. Experience implementing security concepts into code to create and deploy security-oriented services and products. Extensive experience with Model-Based Systems Engineering (MBSE), including using Cameo, SysML, other and industry-standard MBSE methodologies to develop and document complex system architectures and requirements. At least 3+ years experience designing and implementing DOD space systems and subsystems, including systems, products, and interfaces across ground and space components. Fundamental knowledge of software development best practices, methodologies, and frameworks. Familiarity with source control systems (e.g., GitLab) and an understanding of branching strategies, commit conventions, and collaborative development best practices. Ability to create clear and comprehensive system documentation, including design descriptions, requirements specifications, test plans, user guides, and other engineering documents. Experience working in an Agile/Scrum team using tools to assist system development, such as Jira and Confluence. Familiarity with the Overhead Persistent Infrared (OPIR) mission and/or satellite ground systems. WHAT THE TEAM PREFERS: Experience with real-time systems or embedded software development, which includes an understanding of constraints with hardware, optimization for computational efficiency, and familiarity with common platforms and tools used in aerospace software development. Familiarity with communication protocols and standards specific to space and communication systems, such as telemetry and command interfaces and satellite link protocols. Understanding of the challenges associated with space communications, such as latency, error corrections, and adverse effects on transmissions. PAY TRANSPARENCY: The salary offered will be based on the selected candidate's qualifications - skills, education & experience - and the position level. $190,000 - $215,000 APPLICATION DEADLINE: April 15, 2026 Why You'll Love Working at Auria We believe our team does their best work when they are well-supported, financially secure, and have the freedom to balance life outside of the office. Time for What Matters Generous & Growing PTO: Start with a substantial paid time off package that increases every year you're with us. True Flexibility: Contract permitting, use Flex Time to work in a way that fits your life, not just your 8-to-5. 11 Paid Days Off: Enjoy 6 fixed company holidays plus 5 Floating Holidays to use whenever you choose. Invested in Your Future 401(k) Match -Yours to Keep Instantly: We match up to 4% of your contributions . B oth your contributions and the company match are yours from day one with no vesting wait-period. Industry-Leading Education Support: Level up with up to $12,000 annually for tuition and certifications. We don't just hire talent; we grow it. Health & Peace of Mind Premium Healthcare, Lower Costs: High-quality medical plans paired with a Company-Sponsored HSA to help you save for the future. Fully Covered Life Insurance: Breathe easy with life insurance up to $50K provided at zero cost to you. Holistic Support: Access our Employee Assistance Program (EAP) for mental health, financial coaching, and more. and that's just the beginning! Auria is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, marital status, national origin, age, veteran status, disability, or any other protected class. Compensation details: 00 Yearly Salary PIbcbe61533f77-2930
04/05/2026
Full time
Auria is a provider of solutions and software in support of complex Space, National Security, and Cyber missions of federal, international, and commercial customers. Headquartered in Colorado Springs, CO our success is built on the excellence of diverse teams advancing innovative systems and operational software to strengthen our customers' missions. With a distinguished track record and a spirit of relentless pursuit, and R&D, we set the pace for progress and execute every mission with the utmost precision. Auria is seeking a Chief Engineer to join our outstanding team in a hybrid position based in Colorado. The Chief Engineer will lead the development and maturation of advanced software solutions You will be the chief technical authority that works closely with Program Management and technical SMEs to develop software solutions for critical space assets. WHAT YOU CAN EXPECT TO DO: Software Development - Engage in the entire development lifecycle, from requirement analysis to post-production support, ensuring quality and consistency. Prototype Development - Develop prototypes and proofs-of-concept as assigned by program management and participate in Agile ceremonies, code reviews, testing, and debugging to maintain high software standards. Participate in system design and delivery decisions with understanding of space domain operations, ground enterprise architecture, and MWT mission needs. Documentation and Communication - Produce essential system documentation and effectively communicate complex technical details to various stakeholders, ensuring clarity and understanding. Recommend Future Improvements - Communicate with system engineers and the software architect to proactively identify areas of improvement within software applications and recommend solutions to enhance functionality and the user experience. Collaboration and Continuous Improvement - Collaborate closely with interdisciplinary teams to define and implement innovative software solutions for space and communications projects. WHAT THE TEAM REQUIRES: Active U.S. Government SECRET security clearance (requires U.S. Citizenship) Experience in software development, with demonstrated proficiency in C++, Java / Groovy, or Python coding languages and experience with common development environments and tools such as Visual Studio, Eclipse, or IntelliJ. Experience implementing security concepts into code to create and deploy security-oriented services and products. Extensive experience with Model-Based Systems Engineering (MBSE), including using Cameo, SysML, other and industry-standard MBSE methodologies to develop and document complex system architectures and requirements. At least 3+ years experience designing and implementing DOD space systems and subsystems, including systems, products, and interfaces across ground and space components. Fundamental knowledge of software development best practices, methodologies, and frameworks. Familiarity with source control systems (e.g., GitLab) and an understanding of branching strategies, commit conventions, and collaborative development best practices. Ability to create clear and comprehensive system documentation, including design descriptions, requirements specifications, test plans, user guides, and other engineering documents. Experience working in an Agile/Scrum team using tools to assist system development, such as Jira and Confluence. Familiarity with the Overhead Persistent Infrared (OPIR) mission and/or satellite ground systems. WHAT THE TEAM PREFERS: Experience with real-time systems or embedded software development, which includes an understanding of constraints with hardware, optimization for computational efficiency, and familiarity with common platforms and tools used in aerospace software development. Familiarity with communication protocols and standards specific to space and communication systems, such as telemetry and command interfaces and satellite link protocols. Understanding of the challenges associated with space communications, such as latency, error corrections, and adverse effects on transmissions. PAY TRANSPARENCY: The salary offered will be based on the selected candidate's qualifications - skills, education & experience - and the position level. $190,000 - $215,000 APPLICATION DEADLINE: April 15, 2026 Why You'll Love Working at Auria We believe our team does their best work when they are well-supported, financially secure, and have the freedom to balance life outside of the office. Time for What Matters Generous & Growing PTO: Start with a substantial paid time off package that increases every year you're with us. True Flexibility: Contract permitting, use Flex Time to work in a way that fits your life, not just your 8-to-5. 11 Paid Days Off: Enjoy 6 fixed company holidays plus 5 Floating Holidays to use whenever you choose. Invested in Your Future 401(k) Match -Yours to Keep Instantly: We match up to 4% of your contributions . B oth your contributions and the company match are yours from day one with no vesting wait-period. Industry-Leading Education Support: Level up with up to $12,000 annually for tuition and certifications. We don't just hire talent; we grow it. Health & Peace of Mind Premium Healthcare, Lower Costs: High-quality medical plans paired with a Company-Sponsored HSA to help you save for the future. Fully Covered Life Insurance: Breathe easy with life insurance up to $50K provided at zero cost to you. Holistic Support: Access our Employee Assistance Program (EAP) for mental health, financial coaching, and more. and that's just the beginning! Auria is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, marital status, national origin, age, veteran status, disability, or any other protected class. Compensation details: 00 Yearly Salary PIbcbe61533f77-2930
Software Imaging Intern US-CA-Irvine Job ID: 34091 Type: Full-Time # of Openings: 1 Category: Intern/Trainee CUSA Western Regional Office About the Role 2026 Canon Insights Summer Internship Canon, U. S. A., Inc. is currently hiring for our 2026 Canon Insights Internship Program. The program will be held from Monday, June 1, 2026 - Wednesday, August 5, 2026. Canon is an innovative global digital imaging leader that uses technology to dissolve the barriers we face in the connections we build, the experiences we create, and even the lives we live. We are looking for passionate and experienced students to join the Canon USA team. This is a paid summer 10-12 week internship for a robust experience based in our Irvine, CA. What You'll Do: You will have the opportunity to gain hands-on work experience by participating in significant work projects that help you learn, develop business skills, and provide a meaningful contribution to Canon's business and goals. You will be exposed to world-class teams and our business, marketing, and strategy initiatives through training, meetings, presentations, and other planned activities. You'll gain marketable skills and knowledge that you'll need in transitioning into the workforce. You'll come to the office 3 days a week and 2 days with the option to work from home (unless a specific business need arises requiring in-office attendance on other days). This position offers a hybrid work schedule on full-time (9 AM - 5 PM) schedule based on a 35-hour work week. Note that work schedules and office reporting requirements may change from time to time based on business needs. Perks & Benefits: A beautiful facility in Irvine, CA. Free coffee. "Dress for Your Day" attire program - Casual dress, including jeans is permitted! A dedicated peer buddy who will serve as a mentor during your internship experience. Learning and professional development opportunities. Opportunity to network with top-level Canon business leaders. A chance to be featured on Canon's social media sites. Swag! A Canon welcome kit and official merch you can't get anywhere else. Award-Winning Culture: Canon has a unique culture and is committed to our core values of integrity, mutual respect, fairness, and communication. Our corporate philosophy is Kyosei - which we define as "all people, regardless of race, religion, or culture, harmoniously living and working together into the future." This is reflected in our welcoming, respectful, and family-oriented atmosphere with a strong focus on diversity & inclusion, work-life balance, and community and environmental initiatives Your Impact The 2026 Canon Insights Summer Internship - Intern will be responsible for the following: This program is designed to provide undergraduate students with an opportunity to gain hands-on work experience by participating in significant work projects, training, meetings, presentations and activities. Investigate the feasibility of applying a wide variety of scientific principles and concepts to potential inventions, products and problems. Focus on creating and designing models for software solutions. Plan and execute applied research. Carry out research and development in one or more of the following areas: Computer Vision Applications 3D computer vision, Lighting condition analysis, Image and video analysis and understanding Machine learning Contribute to Canon's intellectual property portfolio Work with research team on investigations, software products, and software prototypes About You: The Skills & Expertise You Bring An enrolled undergraduate student who is currently a junior and entering their senior year as of Summer 2026, pursuing a Bachelor's degree aligned with the department of interest. A strong communicator-both written and verbal-with advanced proficiency in Google Workspace (Sheets, Docs, Slides, Chat, Calendar and Drive). Brings the ability to thrive as a collaborative team player while also working independently with confidence and enthusiasm. Undergraduate and graduate student in Computer Science, Engineering, or related field. Strong mathematical background and ability to apply it to new problems Working experience in Python, and/or Matlab Experience with libraries such as OpenCV and PyTorch The ability to work in a highly collaborative, fast moving, multi-cultural environment We are providing the anticipated rate for this role: $25.00 - $40.00 hourly. Company Overview About our Company - Canon U.S.A., Inc., is a leading provider of consumer, business-to-business, and industrial digital imaging solutions to the United States and to Latin America and the Caribbean markets. With approximately $28.5 billion in global revenue, its parent company, Canon Inc., as of 2024 has ranked in the top-10 for U.S. patents granted for 41 consecutive years. Canon U.S.A. is dedicated to its Kyosei philosophy of social and environmental responsibility. To learn more about Canon, visit us at and connect with us on LinkedIn at Who We Are Where Talent Fosters Innovation. Do you want your next professional experience to be filled with purpose and opportunity, world-class team members, and impactful work? Driven by our mission of exceeding customer expectations with our technologies and enriching the lives of our local communities and staff, we are a phenomenal team working collaboratively toward common goals. Our employees have a strong work ethic, creativity, and a cooperative spirit. We believe in integrity, respect, empowerment, and making a difference in the communities we serve. There is a strong sense of pride in what we do individually and together as a team. Join us and discover what it means to work for a global digital imaging leader with an unparalleled reputation for quality and innovation. What We Offer Youll be joining a leader in digital imaging and innovation with an immense opportunity to make an impact and create your own rewarding career. We demonstrate commitment to our employees by offering a full range of rewards, including competitive compensation and benefits. And Even More Perks! -Employee referral bonus -Employee discounts -Dress for Your Day attire program (casual is welcome, based on your job function) -Volunteer opportunities to give back to our local community -Swag! A Canon welcome kit and official merch you cant get anywhere else Based on weekly patent counts issued by United States Patent and Trademark Office. All referenced product names, and other marks, are trademarks of their respective owners. Canon U.S.A., Inc. offers a competitive compensation package including medical, dental, vision, 401(k) Savings Plan, discretionary profit sharing, discretionary success sharing, educational assistance, recognition programs, vacation, and much more. A more comprehensive list of what we have to offer is available at We comply with all applicable federal, state and local laws, regulations, orders and mandates, including those we may be required to follow as a federal government contractor/subcontractor. You must be legally authorized to work in the United States. The Company will not pursue or support visa sponsorship. All applicants must reside in the United States at the time of hire. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are not reviewing this job posting on our Careers site , we cannot guarantee the validity of this posting. For a list of our current postings, please visit us at Posting Tags PI8c2649b6564e-1699
04/05/2026
Full time
Software Imaging Intern US-CA-Irvine Job ID: 34091 Type: Full-Time # of Openings: 1 Category: Intern/Trainee CUSA Western Regional Office About the Role 2026 Canon Insights Summer Internship Canon, U. S. A., Inc. is currently hiring for our 2026 Canon Insights Internship Program. The program will be held from Monday, June 1, 2026 - Wednesday, August 5, 2026. Canon is an innovative global digital imaging leader that uses technology to dissolve the barriers we face in the connections we build, the experiences we create, and even the lives we live. We are looking for passionate and experienced students to join the Canon USA team. This is a paid summer 10-12 week internship for a robust experience based in our Irvine, CA. What You'll Do: You will have the opportunity to gain hands-on work experience by participating in significant work projects that help you learn, develop business skills, and provide a meaningful contribution to Canon's business and goals. You will be exposed to world-class teams and our business, marketing, and strategy initiatives through training, meetings, presentations, and other planned activities. You'll gain marketable skills and knowledge that you'll need in transitioning into the workforce. You'll come to the office 3 days a week and 2 days with the option to work from home (unless a specific business need arises requiring in-office attendance on other days). This position offers a hybrid work schedule on full-time (9 AM - 5 PM) schedule based on a 35-hour work week. Note that work schedules and office reporting requirements may change from time to time based on business needs. Perks & Benefits: A beautiful facility in Irvine, CA. Free coffee. "Dress for Your Day" attire program - Casual dress, including jeans is permitted! A dedicated peer buddy who will serve as a mentor during your internship experience. Learning and professional development opportunities. Opportunity to network with top-level Canon business leaders. A chance to be featured on Canon's social media sites. Swag! A Canon welcome kit and official merch you can't get anywhere else. Award-Winning Culture: Canon has a unique culture and is committed to our core values of integrity, mutual respect, fairness, and communication. Our corporate philosophy is Kyosei - which we define as "all people, regardless of race, religion, or culture, harmoniously living and working together into the future." This is reflected in our welcoming, respectful, and family-oriented atmosphere with a strong focus on diversity & inclusion, work-life balance, and community and environmental initiatives Your Impact The 2026 Canon Insights Summer Internship - Intern will be responsible for the following: This program is designed to provide undergraduate students with an opportunity to gain hands-on work experience by participating in significant work projects, training, meetings, presentations and activities. Investigate the feasibility of applying a wide variety of scientific principles and concepts to potential inventions, products and problems. Focus on creating and designing models for software solutions. Plan and execute applied research. Carry out research and development in one or more of the following areas: Computer Vision Applications 3D computer vision, Lighting condition analysis, Image and video analysis and understanding Machine learning Contribute to Canon's intellectual property portfolio Work with research team on investigations, software products, and software prototypes About You: The Skills & Expertise You Bring An enrolled undergraduate student who is currently a junior and entering their senior year as of Summer 2026, pursuing a Bachelor's degree aligned with the department of interest. A strong communicator-both written and verbal-with advanced proficiency in Google Workspace (Sheets, Docs, Slides, Chat, Calendar and Drive). Brings the ability to thrive as a collaborative team player while also working independently with confidence and enthusiasm. Undergraduate and graduate student in Computer Science, Engineering, or related field. Strong mathematical background and ability to apply it to new problems Working experience in Python, and/or Matlab Experience with libraries such as OpenCV and PyTorch The ability to work in a highly collaborative, fast moving, multi-cultural environment We are providing the anticipated rate for this role: $25.00 - $40.00 hourly. Company Overview About our Company - Canon U.S.A., Inc., is a leading provider of consumer, business-to-business, and industrial digital imaging solutions to the United States and to Latin America and the Caribbean markets. With approximately $28.5 billion in global revenue, its parent company, Canon Inc., as of 2024 has ranked in the top-10 for U.S. patents granted for 41 consecutive years. Canon U.S.A. is dedicated to its Kyosei philosophy of social and environmental responsibility. To learn more about Canon, visit us at and connect with us on LinkedIn at Who We Are Where Talent Fosters Innovation. Do you want your next professional experience to be filled with purpose and opportunity, world-class team members, and impactful work? Driven by our mission of exceeding customer expectations with our technologies and enriching the lives of our local communities and staff, we are a phenomenal team working collaboratively toward common goals. Our employees have a strong work ethic, creativity, and a cooperative spirit. We believe in integrity, respect, empowerment, and making a difference in the communities we serve. There is a strong sense of pride in what we do individually and together as a team. Join us and discover what it means to work for a global digital imaging leader with an unparalleled reputation for quality and innovation. What We Offer Youll be joining a leader in digital imaging and innovation with an immense opportunity to make an impact and create your own rewarding career. We demonstrate commitment to our employees by offering a full range of rewards, including competitive compensation and benefits. And Even More Perks! -Employee referral bonus -Employee discounts -Dress for Your Day attire program (casual is welcome, based on your job function) -Volunteer opportunities to give back to our local community -Swag! A Canon welcome kit and official merch you cant get anywhere else Based on weekly patent counts issued by United States Patent and Trademark Office. All referenced product names, and other marks, are trademarks of their respective owners. Canon U.S.A., Inc. offers a competitive compensation package including medical, dental, vision, 401(k) Savings Plan, discretionary profit sharing, discretionary success sharing, educational assistance, recognition programs, vacation, and much more. A more comprehensive list of what we have to offer is available at We comply with all applicable federal, state and local laws, regulations, orders and mandates, including those we may be required to follow as a federal government contractor/subcontractor. You must be legally authorized to work in the United States. The Company will not pursue or support visa sponsorship. All applicants must reside in the United States at the time of hire. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are not reviewing this job posting on our Careers site , we cannot guarantee the validity of this posting. For a list of our current postings, please visit us at Posting Tags PI8c2649b6564e-1699
STAND 8 provides end to end IT solutions to enterprise partners across the United States and with offices in Los Angeles, New York, New Jersey, Atlanta, and more including internationally in Mexico and India. Senior Service Assurance Engineer - Dark Fiber Remediation plays a critical role in ensuring high-priority customers receive effective support when utilizing dark fiber services. This position is responsible for end-to-end troubleshooting and resolution of post-delivery activation issues, requiring deep technical expertise in fiber networks and strong customer engagement skills. The role involves analyzing fiber infrastructure, coordinating cross-functional teams, and driving rapid resolution of complex service issues. This individual will also proactively mitigate potential escalations by validating prerequisites prior to service delivery and ensuring operational readiness. Location & Work Type Location: USA and Mexico. Work Type: Remote. Key Responsibilities Manage fiber trouble tickets end-to-end, from intake through resolution, ensuring accurate documentation and timely updates Diagnose and troubleshoot dark fiber (Layer 1) issues remotely, including mis-patched connections and physical layer discrepancies Interpret fiber maps, cross-connect diagrams, and panel layouts to identify and resolve connectivity issues Develop and execute structured troubleshooting plans in coordination with internal teams, customers, and third-party vendors Analyze circuit design, routing, and service agreements to validate configurations and identify discrepancies Lead high-priority incident calls, applying root cause analysis and critical thinking to drive rapid resolution Coordinate dispatch of Inside Plant (ISP) and Outside Plant (OSP) technicians with clear, actionable instructions Review and interpret fiber test results (e.g., OTDR traces) using tools such as Exfo Fastreporter and Anritsu NetWorks Create and maintain detailed design schematics and scopes of work for fiber restoration and redesign efforts Communicate effectively with technical and non-technical stakeholders to provide updates, manage expectations, and rebuild customer confidence Qualifications Required: Bachelor's degree in a network engineering discipline or equivalent work experience Minimum 4 (four) years of telecom experience Experience with Salesforce, M6/Metasolv, GE Smallworld and myWorld database applications as well as ability to develop skills within internal design tools such as zDAF Network Automation; experience with third party inventory portals (e.g. Equinix and Telx/DRT Marketplace) desired Proficiency in the MS Office tools including MS Visio and Google Earth (able to produce a professional and detailed KMZ file and can interpret outside plant construction KMZ) In depth knowledge of telecommunications standards, protocols, testing procedures and documentation (e.g. power meter forms, OTDR traces, etc.), and experience with fiber test analysis software such as Exfo Fastreporter and Anritsu NetWorks Breadth of expertise in fiber engineering network design, outside plant operations, fiber construction methods and materials (including fiber types, splice enclosures and fiber termination equipment) Understanding of inside plant fiber connectivity, cabling and infrastructure as well as familiarity with datacenter operations/facilities and cross connect practices Excellent project leadership, critical thinking, problem-solving and root cause analysis skills, and ability to manage projects to the customer's technical specifications and contract requirements Advanced customer management skills (verbal and written) including prioritization, risk analysis, and conflict management/resolution Ability to handle ambiguity, and anticipate and quickly react to changes in a fast-paced environment by making timely, creative and sound decisions under pressure Preferred (Optional) Experience working with fiber troubleshooting scenarios including patching, cleaning, and connector replacement Familiarity with OTDR testing workflows and field technician coordination Strong ability to visualize and interpret physical fiber connectivity from diagrams and verbal descriptions About Us STAND 8 provides end-to-end IT solutions to enterprise partners across the United States and globally with offices in Los Angeles, Atlanta, New York, Mexico, Japan, India, and more. STAND 8 focuses on the "bleeding edge" of technology and leverages automation, process, marketing, and over fifteen years of success and growth to provide a world-class experience for our customers, partners, and employees. Our mission is to impact the world positively by creating success through PEOPLE, PROCESS, and TECHNOLOGY. Check out more at ; and reach out today to explore opportunities to grow together! By applying to this position, your data will be processed in accordance with the STAND 8 Privacy Policy.
04/05/2026
Full time
STAND 8 provides end to end IT solutions to enterprise partners across the United States and with offices in Los Angeles, New York, New Jersey, Atlanta, and more including internationally in Mexico and India. Senior Service Assurance Engineer - Dark Fiber Remediation plays a critical role in ensuring high-priority customers receive effective support when utilizing dark fiber services. This position is responsible for end-to-end troubleshooting and resolution of post-delivery activation issues, requiring deep technical expertise in fiber networks and strong customer engagement skills. The role involves analyzing fiber infrastructure, coordinating cross-functional teams, and driving rapid resolution of complex service issues. This individual will also proactively mitigate potential escalations by validating prerequisites prior to service delivery and ensuring operational readiness. Location & Work Type Location: USA and Mexico. Work Type: Remote. Key Responsibilities Manage fiber trouble tickets end-to-end, from intake through resolution, ensuring accurate documentation and timely updates Diagnose and troubleshoot dark fiber (Layer 1) issues remotely, including mis-patched connections and physical layer discrepancies Interpret fiber maps, cross-connect diagrams, and panel layouts to identify and resolve connectivity issues Develop and execute structured troubleshooting plans in coordination with internal teams, customers, and third-party vendors Analyze circuit design, routing, and service agreements to validate configurations and identify discrepancies Lead high-priority incident calls, applying root cause analysis and critical thinking to drive rapid resolution Coordinate dispatch of Inside Plant (ISP) and Outside Plant (OSP) technicians with clear, actionable instructions Review and interpret fiber test results (e.g., OTDR traces) using tools such as Exfo Fastreporter and Anritsu NetWorks Create and maintain detailed design schematics and scopes of work for fiber restoration and redesign efforts Communicate effectively with technical and non-technical stakeholders to provide updates, manage expectations, and rebuild customer confidence Qualifications Required: Bachelor's degree in a network engineering discipline or equivalent work experience Minimum 4 (four) years of telecom experience Experience with Salesforce, M6/Metasolv, GE Smallworld and myWorld database applications as well as ability to develop skills within internal design tools such as zDAF Network Automation; experience with third party inventory portals (e.g. Equinix and Telx/DRT Marketplace) desired Proficiency in the MS Office tools including MS Visio and Google Earth (able to produce a professional and detailed KMZ file and can interpret outside plant construction KMZ) In depth knowledge of telecommunications standards, protocols, testing procedures and documentation (e.g. power meter forms, OTDR traces, etc.), and experience with fiber test analysis software such as Exfo Fastreporter and Anritsu NetWorks Breadth of expertise in fiber engineering network design, outside plant operations, fiber construction methods and materials (including fiber types, splice enclosures and fiber termination equipment) Understanding of inside plant fiber connectivity, cabling and infrastructure as well as familiarity with datacenter operations/facilities and cross connect practices Excellent project leadership, critical thinking, problem-solving and root cause analysis skills, and ability to manage projects to the customer's technical specifications and contract requirements Advanced customer management skills (verbal and written) including prioritization, risk analysis, and conflict management/resolution Ability to handle ambiguity, and anticipate and quickly react to changes in a fast-paced environment by making timely, creative and sound decisions under pressure Preferred (Optional) Experience working with fiber troubleshooting scenarios including patching, cleaning, and connector replacement Familiarity with OTDR testing workflows and field technician coordination Strong ability to visualize and interpret physical fiber connectivity from diagrams and verbal descriptions About Us STAND 8 provides end-to-end IT solutions to enterprise partners across the United States and globally with offices in Los Angeles, Atlanta, New York, Mexico, Japan, India, and more. STAND 8 focuses on the "bleeding edge" of technology and leverages automation, process, marketing, and over fifteen years of success and growth to provide a world-class experience for our customers, partners, and employees. Our mission is to impact the world positively by creating success through PEOPLE, PROCESS, and TECHNOLOGY. Check out more at ; and reach out today to explore opportunities to grow together! By applying to this position, your data will be processed in accordance with the STAND 8 Privacy Policy.
STAND 8 provides end to end IT solutions to enterprise partners across the United States and with offices in Los Angeles, New York, New Jersey, Atlanta, and more including internationally in Mexico and India. Senior Service Assurance Engineer - Dark Fiber Remediation plays a critical role in ensuring high-priority customers receive effective support when utilizing dark fiber services. This position is responsible for end-to-end troubleshooting and resolution of post-delivery activation issues, requiring deep technical expertise in fiber networks and strong customer engagement skills. The role involves analyzing fiber infrastructure, coordinating cross-functional teams, and driving rapid resolution of complex service issues. This individual will also proactively mitigate potential escalations by validating prerequisites prior to service delivery and ensuring operational readiness. Location & Work Type Location: USA and Mexico. Work Type: Remote. Key Responsibilities Manage fiber trouble tickets end-to-end, from intake through resolution, ensuring accurate documentation and timely updates Diagnose and troubleshoot dark fiber (Layer 1) issues remotely, including mis-patched connections and physical layer discrepancies Interpret fiber maps, cross-connect diagrams, and panel layouts to identify and resolve connectivity issues Develop and execute structured troubleshooting plans in coordination with internal teams, customers, and third-party vendors Analyze circuit design, routing, and service agreements to validate configurations and identify discrepancies Lead high-priority incident calls, applying root cause analysis and critical thinking to drive rapid resolution Coordinate dispatch of Inside Plant (ISP) and Outside Plant (OSP) technicians with clear, actionable instructions Review and interpret fiber test results (e.g., OTDR traces) using tools such as Exfo Fastreporter and Anritsu NetWorks Create and maintain detailed design schematics and scopes of work for fiber restoration and redesign efforts Communicate effectively with technical and non-technical stakeholders to provide updates, manage expectations, and rebuild customer confidence Qualifications Required: Bachelor's degree in a network engineering discipline or equivalent work experience Minimum 4 (four) years of telecom experience Experience with Salesforce, M6/Metasolv, GE Smallworld and myWorld database applications as well as ability to develop skills within internal design tools such as zDAF Network Automation; experience with third party inventory portals (e.g. Equinix and Telx/DRT Marketplace) desired Proficiency in the MS Office tools including MS Visio and Google Earth (able to produce a professional and detailed KMZ file and can interpret outside plant construction KMZ) In depth knowledge of telecommunications standards, protocols, testing procedures and documentation (e.g. power meter forms, OTDR traces, etc.), and experience with fiber test analysis software such as Exfo Fastreporter and Anritsu NetWorks Breadth of expertise in fiber engineering network design, outside plant operations, fiber construction methods and materials (including fiber types, splice enclosures and fiber termination equipment) Understanding of inside plant fiber connectivity, cabling and infrastructure as well as familiarity with datacenter operations/facilities and cross connect practices Excellent project leadership, critical thinking, problem-solving and root cause analysis skills, and ability to manage projects to the customer's technical specifications and contract requirements Advanced customer management skills (verbal and written) including prioritization, risk analysis, and conflict management/resolution Ability to handle ambiguity, and anticipate and quickly react to changes in a fast-paced environment by making timely, creative and sound decisions under pressure Preferred (Optional) Experience working with fiber troubleshooting scenarios including patching, cleaning, and connector replacement Familiarity with OTDR testing workflows and field technician coordination Strong ability to visualize and interpret physical fiber connectivity from diagrams and verbal descriptions About Us STAND 8 provides end-to-end IT solutions to enterprise partners across the United States and globally with offices in Los Angeles, Atlanta, New York, Mexico, Japan, India, and more. STAND 8 focuses on the "bleeding edge" of technology and leverages automation, process, marketing, and over fifteen years of success and growth to provide a world-class experience for our customers, partners, and employees. Our mission is to impact the world positively by creating success through PEOPLE, PROCESS, and TECHNOLOGY. Check out more at ; and reach out today to explore opportunities to grow together! By applying to this position, your data will be processed in accordance with the STAND 8 Privacy Policy.
04/05/2026
Full time
STAND 8 provides end to end IT solutions to enterprise partners across the United States and with offices in Los Angeles, New York, New Jersey, Atlanta, and more including internationally in Mexico and India. Senior Service Assurance Engineer - Dark Fiber Remediation plays a critical role in ensuring high-priority customers receive effective support when utilizing dark fiber services. This position is responsible for end-to-end troubleshooting and resolution of post-delivery activation issues, requiring deep technical expertise in fiber networks and strong customer engagement skills. The role involves analyzing fiber infrastructure, coordinating cross-functional teams, and driving rapid resolution of complex service issues. This individual will also proactively mitigate potential escalations by validating prerequisites prior to service delivery and ensuring operational readiness. Location & Work Type Location: USA and Mexico. Work Type: Remote. Key Responsibilities Manage fiber trouble tickets end-to-end, from intake through resolution, ensuring accurate documentation and timely updates Diagnose and troubleshoot dark fiber (Layer 1) issues remotely, including mis-patched connections and physical layer discrepancies Interpret fiber maps, cross-connect diagrams, and panel layouts to identify and resolve connectivity issues Develop and execute structured troubleshooting plans in coordination with internal teams, customers, and third-party vendors Analyze circuit design, routing, and service agreements to validate configurations and identify discrepancies Lead high-priority incident calls, applying root cause analysis and critical thinking to drive rapid resolution Coordinate dispatch of Inside Plant (ISP) and Outside Plant (OSP) technicians with clear, actionable instructions Review and interpret fiber test results (e.g., OTDR traces) using tools such as Exfo Fastreporter and Anritsu NetWorks Create and maintain detailed design schematics and scopes of work for fiber restoration and redesign efforts Communicate effectively with technical and non-technical stakeholders to provide updates, manage expectations, and rebuild customer confidence Qualifications Required: Bachelor's degree in a network engineering discipline or equivalent work experience Minimum 4 (four) years of telecom experience Experience with Salesforce, M6/Metasolv, GE Smallworld and myWorld database applications as well as ability to develop skills within internal design tools such as zDAF Network Automation; experience with third party inventory portals (e.g. Equinix and Telx/DRT Marketplace) desired Proficiency in the MS Office tools including MS Visio and Google Earth (able to produce a professional and detailed KMZ file and can interpret outside plant construction KMZ) In depth knowledge of telecommunications standards, protocols, testing procedures and documentation (e.g. power meter forms, OTDR traces, etc.), and experience with fiber test analysis software such as Exfo Fastreporter and Anritsu NetWorks Breadth of expertise in fiber engineering network design, outside plant operations, fiber construction methods and materials (including fiber types, splice enclosures and fiber termination equipment) Understanding of inside plant fiber connectivity, cabling and infrastructure as well as familiarity with datacenter operations/facilities and cross connect practices Excellent project leadership, critical thinking, problem-solving and root cause analysis skills, and ability to manage projects to the customer's technical specifications and contract requirements Advanced customer management skills (verbal and written) including prioritization, risk analysis, and conflict management/resolution Ability to handle ambiguity, and anticipate and quickly react to changes in a fast-paced environment by making timely, creative and sound decisions under pressure Preferred (Optional) Experience working with fiber troubleshooting scenarios including patching, cleaning, and connector replacement Familiarity with OTDR testing workflows and field technician coordination Strong ability to visualize and interpret physical fiber connectivity from diagrams and verbal descriptions About Us STAND 8 provides end-to-end IT solutions to enterprise partners across the United States and globally with offices in Los Angeles, Atlanta, New York, Mexico, Japan, India, and more. STAND 8 focuses on the "bleeding edge" of technology and leverages automation, process, marketing, and over fifteen years of success and growth to provide a world-class experience for our customers, partners, and employees. Our mission is to impact the world positively by creating success through PEOPLE, PROCESS, and TECHNOLOGY. Check out more at ; and reach out today to explore opportunities to grow together! By applying to this position, your data will be processed in accordance with the STAND 8 Privacy Policy.
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.
04/05/2026
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.
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.
04/05/2026
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.
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.
04/05/2026
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.
Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Project Overview What Does a Typical Day Look Like? Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks. Build agents that can verify the quality of the code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills Several years of software engineering experience (+5 years), including 2+ years of continuous full-time experience at a top-tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research). Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. Excellent oral and written communication skills for clear, structured evaluation rationales. Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required) Type: Contractor (no medical/paid leave) Duration: 1 month (starting next week; potential extensions based on performance and fit) Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany, ) Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.
04/05/2026
Full time
Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Project Overview What Does a Typical Day Look Like? Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks. Build agents that can verify the quality of the code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills Several years of software engineering experience (+5 years), including 2+ years of continuous full-time experience at a top-tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research). Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. Excellent oral and written communication skills for clear, structured evaluation rationales. Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required) Type: Contractor (no medical/paid leave) Duration: 1 month (starting next week; potential extensions based on performance and fit) Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany, ) Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.
Project Overview Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Typical Day Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks. Build agents that can verify the quality of the code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills Several years of software engineering experience (+5 years), including 2+ years of continuous full-time experience at a top-tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research). Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. Excellent oral and written communication skills for clear, structured evaluation rationales. Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required) Type: Contractor (no medical/paid leave) Duration: 1 month (starting next week; potential extensions based on performance and fit) Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany, ) Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.
04/05/2026
Full time
Project Overview Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Typical Day Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks. Build agents that can verify the quality of the code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills Several years of software engineering experience (+5 years), including 2+ years of continuous full-time experience at a top-tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research). Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. Excellent oral and written communication skills for clear, structured evaluation rationales. Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required) Type: Contractor (no medical/paid leave) Duration: 1 month (starting next week; potential extensions based on performance and fit) Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany, ) Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.
Senior Software Engineer at Neon Base pay range: $150,000 / yr - $200,000 / yr About Neon Neon is a global payments and e-commerce platform designed to help game publishers earn more money and independence from app stores. We believe commerce should be open and transparent: clear decisions, actionable insights, and aligned incentives. Founded by payments, fintech and gaming veterans, Neon focuses on product and partnership excellence: we share the playbook, co pilot decisions, and abstract away risk and complexity for our customers. We're replacing old school, black box relics with clear, modern, and developer centric infrastructure. About the Role Neon is seeking a Senior Software Engineer who will help lead the development of one of our key work streams. As a design minded engineer, you'll bring ideas to life on a blank canvas, turning concepts into functional, beautiful products. You'll be involved in the full stack of the technology, working hands on to build and scale a core product that accelerates financial independence for game creators. What You'll Do Develop and maintain both front end and back end components of the product Collaborate closely with product leaders, designers, and fellow engineers to define, design, and ship new features Ensure features are scalable, performant, secure, and user friendly Write clean, maintainable, and efficient code, participate in code reviews, and maintain documentation What We Look For 5+ years of software engineering experience Full stack background, with a strong focus on React and TypeScript Excited about learning new things and flexing across the stack as the team evolves Highly productive, able to take ownership of key initiatives and deliver results Experience leading teams or projects and enjoy helping others level up their skills Able to work from our offices in San Francisco or New York City Interview Process After the initial screen, you can expect 4-6 hours of onsite or virtual interviews, followed by reference checks. Compensation Range: $150,000 - $200,000 - yr Seniority Level Mid Senior level Employment Type Full time Job Function Engineering and Information Technology
04/05/2026
Full time
Senior Software Engineer at Neon Base pay range: $150,000 / yr - $200,000 / yr About Neon Neon is a global payments and e-commerce platform designed to help game publishers earn more money and independence from app stores. We believe commerce should be open and transparent: clear decisions, actionable insights, and aligned incentives. Founded by payments, fintech and gaming veterans, Neon focuses on product and partnership excellence: we share the playbook, co pilot decisions, and abstract away risk and complexity for our customers. We're replacing old school, black box relics with clear, modern, and developer centric infrastructure. About the Role Neon is seeking a Senior Software Engineer who will help lead the development of one of our key work streams. As a design minded engineer, you'll bring ideas to life on a blank canvas, turning concepts into functional, beautiful products. You'll be involved in the full stack of the technology, working hands on to build and scale a core product that accelerates financial independence for game creators. What You'll Do Develop and maintain both front end and back end components of the product Collaborate closely with product leaders, designers, and fellow engineers to define, design, and ship new features Ensure features are scalable, performant, secure, and user friendly Write clean, maintainable, and efficient code, participate in code reviews, and maintain documentation What We Look For 5+ years of software engineering experience Full stack background, with a strong focus on React and TypeScript Excited about learning new things and flexing across the stack as the team evolves Highly productive, able to take ownership of key initiatives and deliver results Experience leading teams or projects and enjoy helping others level up their skills Able to work from our offices in San Francisco or New York City Interview Process After the initial screen, you can expect 4-6 hours of onsite or virtual interviews, followed by reference checks. Compensation Range: $150,000 - $200,000 - yr Seniority Level Mid Senior level Employment Type Full time Job Function Engineering and Information Technology
Overview Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you're a software engineer or researcher who's curious and passionate about Level 4 autonomous driving, we'd like to meet you. Every mile driven by a Waymo car is a unique and valuable piece of data that can be leveraged into improving our machine learning models, and ultimately the safety and capabilities of the Waymo Driver. Charting the path from collection of a piece of data, to curation, (auto-)labeling, model training and evaluation, all the way to model deployment and monitoring is a process of continuous scaling and quality improvement of the entire ML lifecycle. The Area Technical Lead for the Waymo machine learning flywheel is responsible for architecting, connecting, automating and improving the entire span of this self-improvement process in close collaboration with Waymo's infrastructure, modeling and evaluation teams. They are directly accountable to Waymo's leadership for the organization's ML data strategy and its impact on Driver quality. You will report directly to our Distinguished Engineer, Foundation Models. Responsibilities Architect a path towards every autonomous mile driven by a Waymo car to be automatically incorporated into an automated data-driven self-improvement loop for the Waymo Driver. Enable a data flywheel to serve the demands of scalable pre-training, post-training targeted to relevant critical behaviors, as well as Driver simulation and validation. Enable a modeling flywheel to efficiently consume that data to reliably generate updated models that are validated and deployable with minimal human toil. Coordinate cross-functional efforts in partnership with data and ML infrastructure teams, resource planning, logging infrastructure, modeling and validation teams to accelerate the velocity, impact and leverage of driving data on the Waymo Driver. Act as the steward of data quality, by providing tooling and metrics to evaluate the impact of mining, selection and curation on the modeling pipeline performance. Articulate the strategy for incorporating diverse data sources, including third-party and synthetic data into that improvement flywheel. Drive innovation across all axes of performance and efficiency, from Driver quality, to scalability, cost, engineering velocity, model architecture and performance. Qualifications Master's degree or PhD in Computer Science, Engineering, or a related technical field 10+ years of experience in ML model development, and you have 2+ years experience with large-scale vision, video, or multi-modal foundation model development and their integration in end-to-end models 6+ years of experience in ML-driven production systems that develops models with large-scale data, training, evaluation, and deployment 6+ years of experience in a technical leadership role leading technical teams and setting technical directions in large ML Engineering organizations Demonstrated expertise in large-scale machine learning and its key components: pre-training, post-training, and validation. Deep understanding of both infrastructure and quality aspects. Track record of architecting and standing up a machine learning flywheel at scale for mission critical applications. Experience with driving model quality improvements through systematic data scaling and curation. Communication and interpersonal skills. Ability to inspire, influence and coordinate across functions and disciplines. We Prefer PhD in computer science. Experience in multi-modal LLM model development, and their infrastructure. Familiarity with multi-task, end-to-end models and their development challenges. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $332,000-$421,000 USD
04/05/2026
Full time
Overview Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you're a software engineer or researcher who's curious and passionate about Level 4 autonomous driving, we'd like to meet you. Every mile driven by a Waymo car is a unique and valuable piece of data that can be leveraged into improving our machine learning models, and ultimately the safety and capabilities of the Waymo Driver. Charting the path from collection of a piece of data, to curation, (auto-)labeling, model training and evaluation, all the way to model deployment and monitoring is a process of continuous scaling and quality improvement of the entire ML lifecycle. The Area Technical Lead for the Waymo machine learning flywheel is responsible for architecting, connecting, automating and improving the entire span of this self-improvement process in close collaboration with Waymo's infrastructure, modeling and evaluation teams. They are directly accountable to Waymo's leadership for the organization's ML data strategy and its impact on Driver quality. You will report directly to our Distinguished Engineer, Foundation Models. Responsibilities Architect a path towards every autonomous mile driven by a Waymo car to be automatically incorporated into an automated data-driven self-improvement loop for the Waymo Driver. Enable a data flywheel to serve the demands of scalable pre-training, post-training targeted to relevant critical behaviors, as well as Driver simulation and validation. Enable a modeling flywheel to efficiently consume that data to reliably generate updated models that are validated and deployable with minimal human toil. Coordinate cross-functional efforts in partnership with data and ML infrastructure teams, resource planning, logging infrastructure, modeling and validation teams to accelerate the velocity, impact and leverage of driving data on the Waymo Driver. Act as the steward of data quality, by providing tooling and metrics to evaluate the impact of mining, selection and curation on the modeling pipeline performance. Articulate the strategy for incorporating diverse data sources, including third-party and synthetic data into that improvement flywheel. Drive innovation across all axes of performance and efficiency, from Driver quality, to scalability, cost, engineering velocity, model architecture and performance. Qualifications Master's degree or PhD in Computer Science, Engineering, or a related technical field 10+ years of experience in ML model development, and you have 2+ years experience with large-scale vision, video, or multi-modal foundation model development and their integration in end-to-end models 6+ years of experience in ML-driven production systems that develops models with large-scale data, training, evaluation, and deployment 6+ years of experience in a technical leadership role leading technical teams and setting technical directions in large ML Engineering organizations Demonstrated expertise in large-scale machine learning and its key components: pre-training, post-training, and validation. Deep understanding of both infrastructure and quality aspects. Track record of architecting and standing up a machine learning flywheel at scale for mission critical applications. Experience with driving model quality improvements through systematic data scaling and curation. Communication and interpersonal skills. Ability to inspire, influence and coordinate across functions and disciplines. We Prefer PhD in computer science. Experience in multi-modal LLM model development, and their infrastructure. Familiarity with multi-task, end-to-end models and their development challenges. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $332,000-$421,000 USD
EPI Power is hiring a Senior Electrical Project Superintendent to join our team working on data center projects. This role requires a Superintendent who has an electrical background and experience on data center projects. The Senior Project Superintendent plays a critical role in establishing a safety culture on the jobsite and will work closely with the Project Manager to manage schedule, budget, and staff to achieve the best outcome possible. This role will also create/maintain effective client, vendor, supplier, and subcontractor relationships. The ideal candidate is open to travel and/or relocation based on upcoming project needs. This role requires a 6-day per week schedule, typically Monday - Saturday. EPI Power, LLC ('EPI') is a licensed electrical contractor and subsidiary of The Weitz Company that specializes in data centers. Our mission is to safely deliver industry-leading electrical construction solutions on a fast-track basis. We believe our employees to be our most valuable asset, and we are committed to growing a diverse and inclusive culture that inspires, motivates, and continuously improves What You'll Do: Act as the primary leader of subcontractors and field forces on a job site Maintain project safety in accordance with the Company's Safety Policy Work alongside the Project Manager(s) to manage the project schedule and budget Prepare two-week look ahead schedules Update project schedules utilizing computerized scheduling software Assist with the buyout and selection of subcontractors Coordinate the work of the subcontractors' field forces Communicate effectively with owners, designers, and engineers Ensure all required paperwork is completed, accurate, and timely Adhere to all company policies, standards, and procedures Provide opportunities to help the team develop, learn, and grow Foster positive relationships on the jobsite What We're Looking For: Experience: 8+ years of Project Superintendent experience required Experience working on data center projects required Electrical background required Skills: Ability to read/interpret construction documents Knowledge of construction methods and materials Excellent project organizational skills Impressive leadership skills with the desire to teach, mentor, and develop a team Business acumen and relationship building skills Excellent verbal and written communication across all levels of the organization Bilingual in English and Spanish is a plus Technology: Proficient in basic computer software including Microsoft Word, PowerPoint, Excel, and Outlook Ability to learn specific job-related software upon hire Additional Requirements: Ability to be a traveler/relocate as needed based on future project needs What We Offer: Competitive Pay Comprehensive Benefits Package with Tax-Advantaged HSA and FSA offerings Employer-Paid Short- and Long-Term Disability Programs Employer-Paid Life Insurance Generous Paid Time Off Provisions 401K Retirement Savings Plan with Company Match Tuition Reimbursement Fully Paid Parental Leave Voluntary Products Including: Critical Illness Insurance and Accident Insurance Corporate Wellness Program with Wellness Time Off and Rewards Visa sponsorship is not available for this position at this time. The Company does not accept unsolicited resumes from search firms or agencies. Any resume submitted to any employee of the Company without a prior written search agreement will be considered unsolicited and the property of the Company. Please, no phone calls or emails. The Weitz Company, LLC (and its U.S.-based subsidiaries and affiliates) recognizes the value of and is committed to hiring and retaining a diverse and inclusive workforce. We are an Equal Opportunity Employer and follow applicable affirmative action guidelines and policies. All qualified applicants will receive consideration for employment (including minorities, females, veterans, and individuals with disabilities, regardless of sexual orientation, gender identity, or other protected categories in accordance with applicable state and federal laws). The Company is a drug and alcohol-free workplace and background checks are required if applicable. Click here to review our Privacy Notice.
04/05/2026
Full time
EPI Power is hiring a Senior Electrical Project Superintendent to join our team working on data center projects. This role requires a Superintendent who has an electrical background and experience on data center projects. The Senior Project Superintendent plays a critical role in establishing a safety culture on the jobsite and will work closely with the Project Manager to manage schedule, budget, and staff to achieve the best outcome possible. This role will also create/maintain effective client, vendor, supplier, and subcontractor relationships. The ideal candidate is open to travel and/or relocation based on upcoming project needs. This role requires a 6-day per week schedule, typically Monday - Saturday. EPI Power, LLC ('EPI') is a licensed electrical contractor and subsidiary of The Weitz Company that specializes in data centers. Our mission is to safely deliver industry-leading electrical construction solutions on a fast-track basis. We believe our employees to be our most valuable asset, and we are committed to growing a diverse and inclusive culture that inspires, motivates, and continuously improves What You'll Do: Act as the primary leader of subcontractors and field forces on a job site Maintain project safety in accordance with the Company's Safety Policy Work alongside the Project Manager(s) to manage the project schedule and budget Prepare two-week look ahead schedules Update project schedules utilizing computerized scheduling software Assist with the buyout and selection of subcontractors Coordinate the work of the subcontractors' field forces Communicate effectively with owners, designers, and engineers Ensure all required paperwork is completed, accurate, and timely Adhere to all company policies, standards, and procedures Provide opportunities to help the team develop, learn, and grow Foster positive relationships on the jobsite What We're Looking For: Experience: 8+ years of Project Superintendent experience required Experience working on data center projects required Electrical background required Skills: Ability to read/interpret construction documents Knowledge of construction methods and materials Excellent project organizational skills Impressive leadership skills with the desire to teach, mentor, and develop a team Business acumen and relationship building skills Excellent verbal and written communication across all levels of the organization Bilingual in English and Spanish is a plus Technology: Proficient in basic computer software including Microsoft Word, PowerPoint, Excel, and Outlook Ability to learn specific job-related software upon hire Additional Requirements: Ability to be a traveler/relocate as needed based on future project needs What We Offer: Competitive Pay Comprehensive Benefits Package with Tax-Advantaged HSA and FSA offerings Employer-Paid Short- and Long-Term Disability Programs Employer-Paid Life Insurance Generous Paid Time Off Provisions 401K Retirement Savings Plan with Company Match Tuition Reimbursement Fully Paid Parental Leave Voluntary Products Including: Critical Illness Insurance and Accident Insurance Corporate Wellness Program with Wellness Time Off and Rewards Visa sponsorship is not available for this position at this time. The Company does not accept unsolicited resumes from search firms or agencies. Any resume submitted to any employee of the Company without a prior written search agreement will be considered unsolicited and the property of the Company. Please, no phone calls or emails. The Weitz Company, LLC (and its U.S.-based subsidiaries and affiliates) recognizes the value of and is committed to hiring and retaining a diverse and inclusive workforce. We are an Equal Opportunity Employer and follow applicable affirmative action guidelines and policies. All qualified applicants will receive consideration for employment (including minorities, females, veterans, and individuals with disabilities, regardless of sexual orientation, gender identity, or other protected categories in accordance with applicable state and federal laws). The Company is a drug and alcohol-free workplace and background checks are required if applicable. Click here to review our Privacy Notice.
Job Overview We are seeking a Python Developer with strong expertise in FastAPI to join an exciting Reinforcement Learning (RL) Gym project. You will design, build, and optimize scalable APIs, collaborate with researchers and engineers, and deliver high-quality backend services to support reinforcement learning experiments and simulations. Prior RL Gym experience is not mandatory but would be a plus. Day-to-day life Design, build, and maintain FastAPI-based services for experimentation workflows and simulation environments. Collaborate with ML engineers to expose APIs for training, evaluation, and benchmarking. Write efficient, production-grade Python code with a strong emphasis on scalability and maintainability. Troubleshoot performance issues, optimize pipelines, and ensure smooth deployment of applications. Requirements 5+ years of professional Python development experience including 3+ years of strong experience in FastAPI Experience with REST APIs, async programming, and API lifecycle management. Solid understanding of software engineering best practices (testing, CI/CD, version control, design patterns). Familiarity with NumPy, Pandas, and PyTorch/TensorFlow is a plus. Good to have: Exposure to Reinforcement Learning environments (OpenAI Gym, Gymnasium, Stable Baselines, or custom environments) & SQL experience Bachelor's or Master's degree in Computer Science, Engineering, or related field. Perks Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies. Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. Engagement Type: Contractor assignment (no medical/paid leave) Duration of Contract: 3 months (adjustable based on engagement) Location: US Evaluation Process Technical Interview focused on Python and FastAPI About Turing Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.
04/05/2026
Full time
Job Overview We are seeking a Python Developer with strong expertise in FastAPI to join an exciting Reinforcement Learning (RL) Gym project. You will design, build, and optimize scalable APIs, collaborate with researchers and engineers, and deliver high-quality backend services to support reinforcement learning experiments and simulations. Prior RL Gym experience is not mandatory but would be a plus. Day-to-day life Design, build, and maintain FastAPI-based services for experimentation workflows and simulation environments. Collaborate with ML engineers to expose APIs for training, evaluation, and benchmarking. Write efficient, production-grade Python code with a strong emphasis on scalability and maintainability. Troubleshoot performance issues, optimize pipelines, and ensure smooth deployment of applications. Requirements 5+ years of professional Python development experience including 3+ years of strong experience in FastAPI Experience with REST APIs, async programming, and API lifecycle management. Solid understanding of software engineering best practices (testing, CI/CD, version control, design patterns). Familiarity with NumPy, Pandas, and PyTorch/TensorFlow is a plus. Good to have: Exposure to Reinforcement Learning environments (OpenAI Gym, Gymnasium, Stable Baselines, or custom environments) & SQL experience Bachelor's or Master's degree in Computer Science, Engineering, or related field. Perks Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies. Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. Engagement Type: Contractor assignment (no medical/paid leave) Duration of Contract: 3 months (adjustable based on engagement) Location: US Evaluation Process Technical Interview focused on Python and FastAPI About Turing Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.
About Glean Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry's most advanced enterprise search has evolved into a full scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business-without vendor lock in or costly implementation cycles. About the Role Glean is seeking an Infrastructure Engineer to build and evolve the platform that powers a highly available, performant, secure and cost effective infrastructure across all clouds. You'll deliver complex components with elegant automation, robust uptime guarantees, autoscaling, and reliable alerting/monitoring for infrastructure that runs across multiple cloud providers. As part of the Platform team, you'll be responsible for critical pieces of Glean's infrastructure, working closely with several other teams to support their workloads. You Will Oversee the entirety of your greenfield features from inception to implementation, experimentation, launch and beyond Provide leadership and mentor more junior engineers Work with designers, product managers, data scientists, and other engineers to understand our problem space and create elegant solutions Write robust code that's efficient, easy to read, maintain and test About You Bachelor's degree (or equivalent) in Computer Science or related field 3+ years of experience in a role working with AWS and/or GCP IaaS services (compute, object storage, IAM, networking, VPC) Experience with Terraform, Kubernetes (GKE/EKS), Data Pipelines (Beam/Flink/Kafka/PubSub/SQS), ML Pipelines, Object Storage (S3/GCS), BigQuery, etc. is a plus Experience managing large scale cloud infrastructure with IaC Highly proficient with modern Unix/Linux operating systems/distributions Experience defining SLOs/SLIs and implementing monitoring, alerting, and runbooks Adaptable. Goals can change fast. You anticipate and react quickly Autonomous. You own what you work on. You move fast and get things done Excellent communication. You will need to communicate complex ideas effectively to both technical and non technical audiences, both verbally and in writing Collaborative. You must work collaboratively in a cross functional team and with people at all levels in an organization Location This role is hybrid (3 4 days a week in one of our SF Bay Area offices) Compensation & Benefits The standard base salary range for this position is $140,000-$265,000 annually. Compensation will be determined by factors such as location, level, job related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, medical, vision, and dental coverage, a generous time off policy, and the opportunity to contribute to a 401(k) plan. You'll receive a home office improvement stipend and annual education and wellness stipends to support your growth and well being. We foster a vibrant company culture through regular events and provide healthy lunches daily. EEO Statement We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We are committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. Seniority Level Mid Senior level Employment Type Full time Job Function Engineering and Information Technology Industries Software Development
04/05/2026
Full time
About Glean Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry's most advanced enterprise search has evolved into a full scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business-without vendor lock in or costly implementation cycles. About the Role Glean is seeking an Infrastructure Engineer to build and evolve the platform that powers a highly available, performant, secure and cost effective infrastructure across all clouds. You'll deliver complex components with elegant automation, robust uptime guarantees, autoscaling, and reliable alerting/monitoring for infrastructure that runs across multiple cloud providers. As part of the Platform team, you'll be responsible for critical pieces of Glean's infrastructure, working closely with several other teams to support their workloads. You Will Oversee the entirety of your greenfield features from inception to implementation, experimentation, launch and beyond Provide leadership and mentor more junior engineers Work with designers, product managers, data scientists, and other engineers to understand our problem space and create elegant solutions Write robust code that's efficient, easy to read, maintain and test About You Bachelor's degree (or equivalent) in Computer Science or related field 3+ years of experience in a role working with AWS and/or GCP IaaS services (compute, object storage, IAM, networking, VPC) Experience with Terraform, Kubernetes (GKE/EKS), Data Pipelines (Beam/Flink/Kafka/PubSub/SQS), ML Pipelines, Object Storage (S3/GCS), BigQuery, etc. is a plus Experience managing large scale cloud infrastructure with IaC Highly proficient with modern Unix/Linux operating systems/distributions Experience defining SLOs/SLIs and implementing monitoring, alerting, and runbooks Adaptable. Goals can change fast. You anticipate and react quickly Autonomous. You own what you work on. You move fast and get things done Excellent communication. You will need to communicate complex ideas effectively to both technical and non technical audiences, both verbally and in writing Collaborative. You must work collaboratively in a cross functional team and with people at all levels in an organization Location This role is hybrid (3 4 days a week in one of our SF Bay Area offices) Compensation & Benefits The standard base salary range for this position is $140,000-$265,000 annually. Compensation will be determined by factors such as location, level, job related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, medical, vision, and dental coverage, a generous time off policy, and the opportunity to contribute to a 401(k) plan. You'll receive a home office improvement stipend and annual education and wellness stipends to support your growth and well being. We foster a vibrant company culture through regular events and provide healthy lunches daily. EEO Statement We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We are committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. Seniority Level Mid Senior level Employment Type Full time Job Function Engineering and Information Technology Industries Software Development
Your success is a train ride away! As we move America's workforce toward the future, Amtrak connects businesses and communities across the country. We employ more than 20,000 diverse, energetic professionals in a variety of career fields throughout the United States. The safety of our passengers, our employees, the public and our operating environment is our priority, and the success of our railroad is due to our employees. Are you ready to join our team? Our values of 'Do the Right Thing, Excel Together and Put Customers First' are at the heart of what matters most to us, and our Core Capabilities, 'Building Trust, Accountability, Effective Communication, Customer Focus, and Proactive Safety & Security' are what every employee needs to know and do to be most impactful at Amtrak. By living the Amtrak values, focusing on our capabilities, and actively embracing and fostering diverse ideas, backgrounds, and perspectives, together we will honor our past and make Amtrak a company of the future. Opportunities: Lead & Principal Software Engineers for Digital Technology Role is based in Washington DC. Requests for Remote work will be reviewed but not guaranteed. Amtrak will be hiring experienced Software Engineers to support our Digital Technology (DT) organization. Open positions may include: Lead Software Engineer Principal Software Engineer Opportunities will exist across several Digital Technology teams supporting enterprise applications, cloud modernization, system integrations, and enhancements to core technology platforms. These engineering roles may support: Development of high-quality software systems Full-stack application development and architecture Cloud engineering and platform services API and microservices design Enhancements to enterprise systems (including SAP and related platforms) Mainframe/TPF modernization efforts Application support, testing, and deployment coordination Collaboration with business analysts, architects, and product teams to translate requirements into technical solutions If you would like to be considered for upcoming Software Engineering positions, please apply here. Minimum Qualifications Bachelor's Degree or equivalent combination of education, training and/or relevant experience. Plus 6 years of relevant work experience. Essential Functions Lead the design, development, and deployment of enterprise-grade applications using Java, Spring Frameworks, and Angular. Architect and implement cloud-native solutions leveraging AWS services and container orchestration with Kubernetes. Drive best practices in Agile development, CI/CD pipelines, and DevOps tooling (Jenkins, Git, Docker). Collaborate with cross-functional teams to ensure high-quality deliverables aligned with business objectives. Implement Test-Driven Development (TDD) and Behavior-Driven Development (BDD) methodologies to maintain robust and reliable code. Optimize application performance and scalability through effective database design and query tuning in PostgreSQL or other relational databases. Provide technical leadership, mentorship, and guidance to junior engineers and peers. Ensure compliance with security standards and industry best practices throughout the software development lifecycle. Preferred Qualifications Experience developing or modifying Java software applications and related technologies (Core Java, Spring Boot, Kafka, Node.js, Python, etc) Strong understanding of core internet technologies (HTTP, REST, database fundamentals, data modeling) Proficiency in SQL Server, Oracle, or similar relational databases Experience with frontend, backend, mobile, cloud services (AWS, Azure, GCP), DevOps (Jenkins, Kubernetes, Docker), or a combination of these Ability to define, design, and implement integration plans Familiarity with Agile methodologies (SCRUM, SAFe) Architecture & Leadership (especially for Principal level) Ability to articulate complex architectures in actionable terms Experience serving as a point of escalation for technical issue resolution Ability to support or lead architectural decision-making Strong documentation and communication skills Experience mentoring or guiding engineering teams Additional Profile Strengths Broad understanding of information systems and application architecture standards Experience with system maintenance, enhancements, or production support Ability to work under deadlines and manage changing priorities Knowledge, Skills, and Abilities Proficient in Java, Spring Core, Spring Boot, Spring MVC, Spring Batch, and Spring Integration. Strong front-end development skills with Angular (latest versions), JavaScript, TypeScript, HTML5, CSS3, Bootstrap, and Material UI. Deep understanding of AWS cloud services and cloud-native application architecture. Solid experience with SQL/PostgreSQL and relational database design. Hands-on experience with Agile methodologies, CI/CD pipelines, and DevOps tools (Jenkins, Git, Docker, Kubernetes). Familiarity with Jira and Confluence for project tracking and documentation. Strong knowledge of TDD and BDD principles. Excellent problem-solving and analytical skills. Strong communication and interpersonal abilities to collaborate effectively with stakeholders. Proven leadership experience in guiding teams and delivering complex projects. The salary/hourly range is $103,700 - $134,460 for the Lead Software Engineer and $124,600 - $161,352 for the Principal Software Engineer. Pay is based on several factors including but not limited to education, work experience, certifications, etc. Depending on an employee's assigned worksite or location, Amtrak may consider a geo-pay differential to be applied to the employee's base salary. Amtrak may offer additional incentive and pay programs to recognize and reward our employees, including a short-term incentive bonus based upon factors such as individual and company performance that is commensurate with the level of the position and/or long-term incentive plan compensation. In addition to your salary, Amtrak offers a comprehensive benefit package that includes health, dental, and vision plans; health savings accounts; wellness programs; flexible spending accounts; 401K retirement plan with employer match; life insurance; short and long term disability insurance; paid time off; back-up care; adoption assistance; surrogacy assistance; reimbursement of education expenses; Public Service Loan Forgiveness eligibility; Railroad Retirement sickness and retirement benefits; and rail pass privileges. Requisition ID: 165702 Work Arrangement: 06-Onsite 4/5 Days for more information about work arrangements at Amtrak. Relocation Offered: No Travel Requirements: Up to 25% Recruiter Name: Joshua Popejoy Recruiter Email: recruiterEmail You power our progress through your performance. We want your work at Amtrak to be more than a job. We want your career at Amtrak to be a fulfilling experience where you find challenging work, rewarding opportunities, respect among colleagues, and attractive compensation. Amtrak maintains a culture that values high performance and recognizes individual employee contributions. Amtrak is committed to a safe workplace free of drugs and alcohol. All Amtrak positions requires a pre-employment background check that includes prior employment verification, a criminal history check and a pre-employment drug screen. Candidates who test positive for marijuana will be disqualified, regardless of any state or local statute, ordinance, regulation, or other law that legalizes or decriminalizes the use or possession of marijuana, whether for medical, recreational, or other use. Amtrak's pre-employment drug testing program is administered in accordance with DOT regulations and applicable law. In accordance with DOT regulations (49 CFR 40.25), Amtrak is required to obtain prior drug and alcohol testing records for applicants/employees intending to perform safety-sensitive duties for covered Department of Transportation positions. If an applicant/employee refuses to provide written consent for Amtrak to obtain these records, the individual will not be permitted to perform safety-sensitive functions. In accordance with federal law governing security checks of covered individuals for providers of public transportation (Title 6 U.S.C. 1143), Amtrak is required to screen applicants for any permanent or interim disqualifying criminal offenses. Note that any education requirement listed above may be deemed satisfied if you have an equivalent combination of education, training and experience. Amtrak is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race/color, to include traits historically associated with race, including but not limited to, hair texture and hairstyles such as braids, locks and twists, religion, sex (including pregnancy, childbirth and related conditions, such as lactation), national origin/ethnicity, disability (intellectual, mental and physical), veteran status, marital status, ancestry, sexual orientation, gender identity and gender expression, genetic information, citizenship or any other personal characteristics protected by law.
04/05/2026
Full time
Your success is a train ride away! As we move America's workforce toward the future, Amtrak connects businesses and communities across the country. We employ more than 20,000 diverse, energetic professionals in a variety of career fields throughout the United States. The safety of our passengers, our employees, the public and our operating environment is our priority, and the success of our railroad is due to our employees. Are you ready to join our team? Our values of 'Do the Right Thing, Excel Together and Put Customers First' are at the heart of what matters most to us, and our Core Capabilities, 'Building Trust, Accountability, Effective Communication, Customer Focus, and Proactive Safety & Security' are what every employee needs to know and do to be most impactful at Amtrak. By living the Amtrak values, focusing on our capabilities, and actively embracing and fostering diverse ideas, backgrounds, and perspectives, together we will honor our past and make Amtrak a company of the future. Opportunities: Lead & Principal Software Engineers for Digital Technology Role is based in Washington DC. Requests for Remote work will be reviewed but not guaranteed. Amtrak will be hiring experienced Software Engineers to support our Digital Technology (DT) organization. Open positions may include: Lead Software Engineer Principal Software Engineer Opportunities will exist across several Digital Technology teams supporting enterprise applications, cloud modernization, system integrations, and enhancements to core technology platforms. These engineering roles may support: Development of high-quality software systems Full-stack application development and architecture Cloud engineering and platform services API and microservices design Enhancements to enterprise systems (including SAP and related platforms) Mainframe/TPF modernization efforts Application support, testing, and deployment coordination Collaboration with business analysts, architects, and product teams to translate requirements into technical solutions If you would like to be considered for upcoming Software Engineering positions, please apply here. Minimum Qualifications Bachelor's Degree or equivalent combination of education, training and/or relevant experience. Plus 6 years of relevant work experience. Essential Functions Lead the design, development, and deployment of enterprise-grade applications using Java, Spring Frameworks, and Angular. Architect and implement cloud-native solutions leveraging AWS services and container orchestration with Kubernetes. Drive best practices in Agile development, CI/CD pipelines, and DevOps tooling (Jenkins, Git, Docker). Collaborate with cross-functional teams to ensure high-quality deliverables aligned with business objectives. Implement Test-Driven Development (TDD) and Behavior-Driven Development (BDD) methodologies to maintain robust and reliable code. Optimize application performance and scalability through effective database design and query tuning in PostgreSQL or other relational databases. Provide technical leadership, mentorship, and guidance to junior engineers and peers. Ensure compliance with security standards and industry best practices throughout the software development lifecycle. Preferred Qualifications Experience developing or modifying Java software applications and related technologies (Core Java, Spring Boot, Kafka, Node.js, Python, etc) Strong understanding of core internet technologies (HTTP, REST, database fundamentals, data modeling) Proficiency in SQL Server, Oracle, or similar relational databases Experience with frontend, backend, mobile, cloud services (AWS, Azure, GCP), DevOps (Jenkins, Kubernetes, Docker), or a combination of these Ability to define, design, and implement integration plans Familiarity with Agile methodologies (SCRUM, SAFe) Architecture & Leadership (especially for Principal level) Ability to articulate complex architectures in actionable terms Experience serving as a point of escalation for technical issue resolution Ability to support or lead architectural decision-making Strong documentation and communication skills Experience mentoring or guiding engineering teams Additional Profile Strengths Broad understanding of information systems and application architecture standards Experience with system maintenance, enhancements, or production support Ability to work under deadlines and manage changing priorities Knowledge, Skills, and Abilities Proficient in Java, Spring Core, Spring Boot, Spring MVC, Spring Batch, and Spring Integration. Strong front-end development skills with Angular (latest versions), JavaScript, TypeScript, HTML5, CSS3, Bootstrap, and Material UI. Deep understanding of AWS cloud services and cloud-native application architecture. Solid experience with SQL/PostgreSQL and relational database design. Hands-on experience with Agile methodologies, CI/CD pipelines, and DevOps tools (Jenkins, Git, Docker, Kubernetes). Familiarity with Jira and Confluence for project tracking and documentation. Strong knowledge of TDD and BDD principles. Excellent problem-solving and analytical skills. Strong communication and interpersonal abilities to collaborate effectively with stakeholders. Proven leadership experience in guiding teams and delivering complex projects. The salary/hourly range is $103,700 - $134,460 for the Lead Software Engineer and $124,600 - $161,352 for the Principal Software Engineer. Pay is based on several factors including but not limited to education, work experience, certifications, etc. Depending on an employee's assigned worksite or location, Amtrak may consider a geo-pay differential to be applied to the employee's base salary. Amtrak may offer additional incentive and pay programs to recognize and reward our employees, including a short-term incentive bonus based upon factors such as individual and company performance that is commensurate with the level of the position and/or long-term incentive plan compensation. In addition to your salary, Amtrak offers a comprehensive benefit package that includes health, dental, and vision plans; health savings accounts; wellness programs; flexible spending accounts; 401K retirement plan with employer match; life insurance; short and long term disability insurance; paid time off; back-up care; adoption assistance; surrogacy assistance; reimbursement of education expenses; Public Service Loan Forgiveness eligibility; Railroad Retirement sickness and retirement benefits; and rail pass privileges. Requisition ID: 165702 Work Arrangement: 06-Onsite 4/5 Days for more information about work arrangements at Amtrak. Relocation Offered: No Travel Requirements: Up to 25% Recruiter Name: Joshua Popejoy Recruiter Email: recruiterEmail You power our progress through your performance. We want your work at Amtrak to be more than a job. We want your career at Amtrak to be a fulfilling experience where you find challenging work, rewarding opportunities, respect among colleagues, and attractive compensation. Amtrak maintains a culture that values high performance and recognizes individual employee contributions. Amtrak is committed to a safe workplace free of drugs and alcohol. All Amtrak positions requires a pre-employment background check that includes prior employment verification, a criminal history check and a pre-employment drug screen. Candidates who test positive for marijuana will be disqualified, regardless of any state or local statute, ordinance, regulation, or other law that legalizes or decriminalizes the use or possession of marijuana, whether for medical, recreational, or other use. Amtrak's pre-employment drug testing program is administered in accordance with DOT regulations and applicable law. In accordance with DOT regulations (49 CFR 40.25), Amtrak is required to obtain prior drug and alcohol testing records for applicants/employees intending to perform safety-sensitive duties for covered Department of Transportation positions. If an applicant/employee refuses to provide written consent for Amtrak to obtain these records, the individual will not be permitted to perform safety-sensitive functions. In accordance with federal law governing security checks of covered individuals for providers of public transportation (Title 6 U.S.C. 1143), Amtrak is required to screen applicants for any permanent or interim disqualifying criminal offenses. Note that any education requirement listed above may be deemed satisfied if you have an equivalent combination of education, training and experience. Amtrak is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race/color, to include traits historically associated with race, including but not limited to, hair texture and hairstyles such as braids, locks and twists, religion, sex (including pregnancy, childbirth and related conditions, such as lactation), national origin/ethnicity, disability (intellectual, mental and physical), veteran status, marital status, ancestry, sexual orientation, gender identity and gender expression, genetic information, citizenship or any other personal characteristics protected by law.
