Job Description: Hobbs Brook Real Estate LLC is an innovative commercial real estate leader with a portfolio of forward-thinking, sustainable properties. Shaping the market since 1952, the company acquires, develops, manages, and serves as a valued partner to a variety of stakeholders. Hobbs Brook Real Estate (HBRE) brings unique property visions to life with a commitment to improving both the environment and the community. For additional information, please visit . HBRE is the real estate division of FM. Summary This position is responsible for leading the engineering and facilities operations for a multi-building, Class A office portfolio in Waltham, MA. The Chief Building Engineer oversees daily operations, maintenance, repairs, capital project support, vendor coordination, regulatory compliance, and team development to ensure safe, reliable, efficient, and high-quality building operations. The role partners closely with property management, asset management, finance/accounting, legal, EHS, construction, consultants, vendors, and other internal teams to support operational goals, budget management, tenant service, risk management, emergency preparedness, sustainability initiatives, and compliance with applicable HBRE/FM standards and regulatory requirements. Schedule & Location This is an exempt, office-based position in Waltham, MA. Local travel to nearby HBRE/FM offices or properties may be required based on operational, project, training, or business needs. Key Responsibilities Oversee day-to-day operations, repair, maintenance, and replacement of mechanical, HVAC, electrical, plumbing, fire/life safety, building controls, and other building systems across a Class A office portfolio. Lead, motivate, train, and develop engineering and facilities staff while addressing performance, operational, vendor, and contractor issues as needed. Manage building management systems, work order platforms, and preventative maintenance programs to support efficient operations, tenant service, risk management, and sustainability objectives. Engage and manage vendors, contractors, and consultants for MEP, life safety, site/grounds, capital project, emergency response, and other operational needs. Partner with property management, construction, EHS, FM engineering, HR, legal, finance/accounting, consultants, and vendors to support building operations, capital projects, regulatory compliance, and policy implementation. Assist with annual operating and capital budgets, quarterly reforecasts, maintenance and repair planning, expense management, and financial variance reporting. Review invoices, vendor contracts and payment requisitions for proper documentation in accordance with HBRE/FM accounts payable procedures. Support emergency preparedness, life-safety procedures, fire drills, environmental compliance, risk management, and related training for engineering and facilities staff. Participate in building capital and tenant improvement projects, including commissioning and transition of completed projects to daily operations. Qualifications: Required Work Experience 10+ years of related technical experience, including hands-on experience in HVAC, electrical, plumbing, mechanical, or similar trade work. 4+ years in a leadership or supervisory role. Strong technical knowledge of MEP systems, HVAC, building automation systems, fire/life safety systems, and Class A commercial office building operations. Experience operating BMS systems and energy-saving software applications such as WellStat or comparable platforms. Experience managing technical operations, preventative maintenance, vendor coordination, tenant service, and regulatory compliance in a commercial office environment. Required Skills Strong leadership skills with the ability to lead, mentor, train, and develop building engineers and facilities staff. Effective communication skills, including the ability to present projects, issues, and recommendations to tenants, senior management, vendors, and other stakeholders. Good writing skills to prepare recommendations, develop vendor contracts and preventative maintenance scopes of work, policy and procedures, and other similar types of documents. Strong project management skills, including planning, scheduling, resource coordination, quality control, and follow-through to completion. Excellent analytical and problem-solving skills, with the ability to assess issues, develop solutions, and adjust priorities as business needs evolve. Ability to balance day-to-day operational requirements with broader property goals, budget constraints, tenant service expectations, risk management, and sustainability objectives. Ability to work collaboratively with property management, accounting, construction, legal, EHS, vendors, consultants, and other internal teams. Proficiency with Microsoft Word, Excel, Yardi, building work order software, and related operating platforms. Ability to read and understand blueprints. Highly Preferred Skills Building Engines / Prism experience and/or proficiency with other similar work order systems. Automated Logic Control experience and/or proficiency with other similar building controls systems. Life science building experience, including familiarity with laboratory environments, clean rooms, biosafety levels, and related building systems or facilities operations. Familiarity with BOMA 360 and TOBY programs and requirements for participation. Business acumen and understanding of business administration or project management principles. Adaptability to new technologies and changing regulatory environments. Required Education Associate's degree or equivalent certification from a technical school. Preferred Education / Certifications Bachelor's degree. Universal CFC Certification. Additional certifications in one or more of the following: HVAC, electrical, plumbing, building controls, fire/life safety systems, carpentry, and/or construction supervision. The hiring range for this position is $121,000 to $173,000 annually. Final offers are based on factors such as geographic location, education, skills, and experience. This role is eligible for FM's Total Rewards program, including an incentive plan, health and well-being programs , 401(k) and pension, career development and tuition reimbursement, and time off. Hobbs Brook Management LLC is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.
10/25/2026
Full time
Job Description: Hobbs Brook Real Estate LLC is an innovative commercial real estate leader with a portfolio of forward-thinking, sustainable properties. Shaping the market since 1952, the company acquires, develops, manages, and serves as a valued partner to a variety of stakeholders. Hobbs Brook Real Estate (HBRE) brings unique property visions to life with a commitment to improving both the environment and the community. For additional information, please visit . HBRE is the real estate division of FM. Summary This position is responsible for leading the engineering and facilities operations for a multi-building, Class A office portfolio in Waltham, MA. The Chief Building Engineer oversees daily operations, maintenance, repairs, capital project support, vendor coordination, regulatory compliance, and team development to ensure safe, reliable, efficient, and high-quality building operations. The role partners closely with property management, asset management, finance/accounting, legal, EHS, construction, consultants, vendors, and other internal teams to support operational goals, budget management, tenant service, risk management, emergency preparedness, sustainability initiatives, and compliance with applicable HBRE/FM standards and regulatory requirements. Schedule & Location This is an exempt, office-based position in Waltham, MA. Local travel to nearby HBRE/FM offices or properties may be required based on operational, project, training, or business needs. Key Responsibilities Oversee day-to-day operations, repair, maintenance, and replacement of mechanical, HVAC, electrical, plumbing, fire/life safety, building controls, and other building systems across a Class A office portfolio. Lead, motivate, train, and develop engineering and facilities staff while addressing performance, operational, vendor, and contractor issues as needed. Manage building management systems, work order platforms, and preventative maintenance programs to support efficient operations, tenant service, risk management, and sustainability objectives. Engage and manage vendors, contractors, and consultants for MEP, life safety, site/grounds, capital project, emergency response, and other operational needs. Partner with property management, construction, EHS, FM engineering, HR, legal, finance/accounting, consultants, and vendors to support building operations, capital projects, regulatory compliance, and policy implementation. Assist with annual operating and capital budgets, quarterly reforecasts, maintenance and repair planning, expense management, and financial variance reporting. Review invoices, vendor contracts and payment requisitions for proper documentation in accordance with HBRE/FM accounts payable procedures. Support emergency preparedness, life-safety procedures, fire drills, environmental compliance, risk management, and related training for engineering and facilities staff. Participate in building capital and tenant improvement projects, including commissioning and transition of completed projects to daily operations. Qualifications: Required Work Experience 10+ years of related technical experience, including hands-on experience in HVAC, electrical, plumbing, mechanical, or similar trade work. 4+ years in a leadership or supervisory role. Strong technical knowledge of MEP systems, HVAC, building automation systems, fire/life safety systems, and Class A commercial office building operations. Experience operating BMS systems and energy-saving software applications such as WellStat or comparable platforms. Experience managing technical operations, preventative maintenance, vendor coordination, tenant service, and regulatory compliance in a commercial office environment. Required Skills Strong leadership skills with the ability to lead, mentor, train, and develop building engineers and facilities staff. Effective communication skills, including the ability to present projects, issues, and recommendations to tenants, senior management, vendors, and other stakeholders. Good writing skills to prepare recommendations, develop vendor contracts and preventative maintenance scopes of work, policy and procedures, and other similar types of documents. Strong project management skills, including planning, scheduling, resource coordination, quality control, and follow-through to completion. Excellent analytical and problem-solving skills, with the ability to assess issues, develop solutions, and adjust priorities as business needs evolve. Ability to balance day-to-day operational requirements with broader property goals, budget constraints, tenant service expectations, risk management, and sustainability objectives. Ability to work collaboratively with property management, accounting, construction, legal, EHS, vendors, consultants, and other internal teams. Proficiency with Microsoft Word, Excel, Yardi, building work order software, and related operating platforms. Ability to read and understand blueprints. Highly Preferred Skills Building Engines / Prism experience and/or proficiency with other similar work order systems. Automated Logic Control experience and/or proficiency with other similar building controls systems. Life science building experience, including familiarity with laboratory environments, clean rooms, biosafety levels, and related building systems or facilities operations. Familiarity with BOMA 360 and TOBY programs and requirements for participation. Business acumen and understanding of business administration or project management principles. Adaptability to new technologies and changing regulatory environments. Required Education Associate's degree or equivalent certification from a technical school. Preferred Education / Certifications Bachelor's degree. Universal CFC Certification. Additional certifications in one or more of the following: HVAC, electrical, plumbing, building controls, fire/life safety systems, carpentry, and/or construction supervision. The hiring range for this position is $121,000 to $173,000 annually. Final offers are based on factors such as geographic location, education, skills, and experience. This role is eligible for FM's Total Rewards program, including an incentive plan, health and well-being programs , 401(k) and pension, career development and tuition reimbursement, and time off. Hobbs Brook Management LLC is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.
Requisition ID: 7222 Job Title: Senior Software Engineer - Alpharetta, GA Job Country: United States (US) Here at Avanos Medical, we passionately believe in three things: Making a difference in our products, services and offers, never ceasing to fight for groundbreaking solutions in everything we do; Making a difference in how we work and collaborate, constantly nurturing our nimble culture of innovation; Having an impact on the healthcare challenges we all face, and the lives of people and communities around the world. At Avanos you will find an environment that strives to be independent and different, one that supports and inspires you to excel and to help change what medical devices can deliver, now and in the future. Avanos is a medical device company focused on delivering clinically superior breakthrough solutions that will help patients get back to the things that matter. We are committed to creating the next generation of innovative healthcare solutions which will address our most important healthcare needs, such as reducing the use of opioids while helping patients move from surgery to recovery. Headquartered in Alpharetta, Georgia, we develop, manufacture and market recognized brands in more than 90 countries. For more information, visit . The Role The Senior Software Engineer is a key member of the R&D Engineering team responsible for supporting software development for connected medical devices across the Avanos portfolio, including Specialty Nutrition products for long- and short-term feeding, RF Ablation systems, and Pain Recovery systems. This role focuses on reviewing and interpreting software deliverables from external development partners, supporting system-level documentation, maintaining internal software knowledge of the product, and ensuring software-related documentation is complete, consistent, and traceable throughout the product lifecycle for new and existing products. The Senior Software Engineer will work closely with Systems Engineering, Software/Firmware Engineering, Quality, Regulatory, Verification and Validation, and external CDMO partners to support regulated product development, design controls, and Design History File documentation for both new and existing products. Responsibilities Lead assigned product, subsystem, or component design activities through feasibility, development, verification, validation, design transfer, and commercialization. Interpret, review, and assess software deliverables with CDMOs, external design firms, and other development partners. Develop and maintain system and software documentation, including requirements, architecture descriptions, interface definitions, design descriptions, traceability, and Design History File content. Support requirements management and traceability across system requirements, software requirements, design outputs, risk controls, verification and validation activities. Review software documentation for completeness, consistency, technical accuracy, and alignment with applicable product requirements and development processes. Read and interpret embedded software, firmware, and application-level code to support technical reviews, documentation, troubleshooting, and product knowledge transfer. Support software, system integration, and system-level V&V activities, including review of test protocols, test results, defects, anomalies, and issue resolution. Maintain internal software knowledge of the product, including functionality, architecture, interfaces, dependencies, known limitations, and test coverage. Promote and develop best practices and standards across the software organization Research and evaluate software techniques and technologies against performance requirements for medical device application Support software-related risk management, investigations, design changes, and sustaining engineering activities for commercialized products. Identify documentation gaps, traceability gaps, test coverage gaps, inconsistencies, and technical risks associated with software deliverables. Support design reviews, technical reviews, and cross-functional project meetings by communicating software status, risks, open items, and documentation needs. Support intellectual-property development through design innovation, invention documentation, and technical contributions to patent applications. Qualifications Required Education: Bachelor's degree in software engineering, Computer Engineering, or a related technical discipline. 8-10 years of architecture, technical design and software development experience Demonstrated ability to deliver results while working on multiple projects simultaneously, balancing resources, timing and quality of outcomes. Demonstrated competency in understanding and defining the functionality of complex systems and the interactions and dependencies in the HW and SW sub-systems Ability to read and understand embedded code, firmware, application-level code, software architecture diagrams, system diagrams, data flows, and interface documentation. Experience reviewing software requirements, system requirements, design documentation, test documentation, and traceability records. Strong understanding of requirements management and traceability between requirements, design outputs, risk controls, verification testing, and validation evidence. Hands-on experience with secure boot implementation and firmware upgrade mechanisms, including secure and reliable update processes. Strong knowledge of operating-system kernels and bootloaders, including configuration, integration, debugging, and troubleshooting. Strong technical writing skills with the ability to create and review clear, complete, accurate, and well-organized technical documentation. Strong communication skills with the ability to work effectively with internal teams, external development partners, and cross-functional stakeholders. Experience working in a cross-functional, matrixed product-development environment. Position follows a Hybrid Work schedule with the requirement to be onsite Tuesday through Thursday Preferred: MS in Computer Engineering, Computer Science, Electrical Engineering, or related discipline Experience working with regulated products, medical devices, healthcare technology, life sciences products, aerospace, automotive, or other safety-critical systems. Familiarity with medical device software development practices and applicable standards or regulations, such as: ISO 13485, ISO 14971, IEC 62304, IEC 60601, IEC 62366 Cybersecurity guidance for connected medical devices Experience working with CDMOs, external software development or design firms. Experience supporting Design History File documentation for regulated products. Experience supporting software verification, system integration testing, or validation activities. Experience with requirements-management, product-lifecycle-management, or quality-management systems such as Jama, Polarion, Arena, Agile PLM, or similar platforms. Participation in invention disclosures, intellectual-property development, or patent applications The statements above are intended to describe the general nature and level of work performed by employees assigned to this classification. Statements are not intended to be construed as an exhaustive list of all duties, responsibilities and skills required for this position. Avanos Medical is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity or any other characteristic protected by law. IMPORTANT: If you are a current employee of Avanos or a current Avanos Contractor, please apply here . Join us at Avanos Join us and you can make a difference in our products, solutions and our culture. Most of all, you can make a difference in the lives, people, and communities around the world. Make your career count Our commitment to improving the health and wellbeing of others begins with our employees - through a comprehensive and competitive range of benefits. We provide more than just a salary - our Total Rewards package encompasses everything you receive as an employee; your pay, health care benefits, retirement plans and work/life benefits. Avanos offers a generous 401(k) employer match of 100% of each pretax dollar you contribute on the first 4% and 50% of the next 2% of pay contributed with immediate vesting. Avanos also offers the following: benefits on day 1 free onsite gym onsite cafeteria HQ region voted 'best place to live' by USA Today uncapped sales commissions
10/25/2026
Full time
Requisition ID: 7222 Job Title: Senior Software Engineer - Alpharetta, GA Job Country: United States (US) Here at Avanos Medical, we passionately believe in three things: Making a difference in our products, services and offers, never ceasing to fight for groundbreaking solutions in everything we do; Making a difference in how we work and collaborate, constantly nurturing our nimble culture of innovation; Having an impact on the healthcare challenges we all face, and the lives of people and communities around the world. At Avanos you will find an environment that strives to be independent and different, one that supports and inspires you to excel and to help change what medical devices can deliver, now and in the future. Avanos is a medical device company focused on delivering clinically superior breakthrough solutions that will help patients get back to the things that matter. We are committed to creating the next generation of innovative healthcare solutions which will address our most important healthcare needs, such as reducing the use of opioids while helping patients move from surgery to recovery. Headquartered in Alpharetta, Georgia, we develop, manufacture and market recognized brands in more than 90 countries. For more information, visit . The Role The Senior Software Engineer is a key member of the R&D Engineering team responsible for supporting software development for connected medical devices across the Avanos portfolio, including Specialty Nutrition products for long- and short-term feeding, RF Ablation systems, and Pain Recovery systems. This role focuses on reviewing and interpreting software deliverables from external development partners, supporting system-level documentation, maintaining internal software knowledge of the product, and ensuring software-related documentation is complete, consistent, and traceable throughout the product lifecycle for new and existing products. The Senior Software Engineer will work closely with Systems Engineering, Software/Firmware Engineering, Quality, Regulatory, Verification and Validation, and external CDMO partners to support regulated product development, design controls, and Design History File documentation for both new and existing products. Responsibilities Lead assigned product, subsystem, or component design activities through feasibility, development, verification, validation, design transfer, and commercialization. Interpret, review, and assess software deliverables with CDMOs, external design firms, and other development partners. Develop and maintain system and software documentation, including requirements, architecture descriptions, interface definitions, design descriptions, traceability, and Design History File content. Support requirements management and traceability across system requirements, software requirements, design outputs, risk controls, verification and validation activities. Review software documentation for completeness, consistency, technical accuracy, and alignment with applicable product requirements and development processes. Read and interpret embedded software, firmware, and application-level code to support technical reviews, documentation, troubleshooting, and product knowledge transfer. Support software, system integration, and system-level V&V activities, including review of test protocols, test results, defects, anomalies, and issue resolution. Maintain internal software knowledge of the product, including functionality, architecture, interfaces, dependencies, known limitations, and test coverage. Promote and develop best practices and standards across the software organization Research and evaluate software techniques and technologies against performance requirements for medical device application Support software-related risk management, investigations, design changes, and sustaining engineering activities for commercialized products. Identify documentation gaps, traceability gaps, test coverage gaps, inconsistencies, and technical risks associated with software deliverables. Support design reviews, technical reviews, and cross-functional project meetings by communicating software status, risks, open items, and documentation needs. Support intellectual-property development through design innovation, invention documentation, and technical contributions to patent applications. Qualifications Required Education: Bachelor's degree in software engineering, Computer Engineering, or a related technical discipline. 8-10 years of architecture, technical design and software development experience Demonstrated ability to deliver results while working on multiple projects simultaneously, balancing resources, timing and quality of outcomes. Demonstrated competency in understanding and defining the functionality of complex systems and the interactions and dependencies in the HW and SW sub-systems Ability to read and understand embedded code, firmware, application-level code, software architecture diagrams, system diagrams, data flows, and interface documentation. Experience reviewing software requirements, system requirements, design documentation, test documentation, and traceability records. Strong understanding of requirements management and traceability between requirements, design outputs, risk controls, verification testing, and validation evidence. Hands-on experience with secure boot implementation and firmware upgrade mechanisms, including secure and reliable update processes. Strong knowledge of operating-system kernels and bootloaders, including configuration, integration, debugging, and troubleshooting. Strong technical writing skills with the ability to create and review clear, complete, accurate, and well-organized technical documentation. Strong communication skills with the ability to work effectively with internal teams, external development partners, and cross-functional stakeholders. Experience working in a cross-functional, matrixed product-development environment. Position follows a Hybrid Work schedule with the requirement to be onsite Tuesday through Thursday Preferred: MS in Computer Engineering, Computer Science, Electrical Engineering, or related discipline Experience working with regulated products, medical devices, healthcare technology, life sciences products, aerospace, automotive, or other safety-critical systems. Familiarity with medical device software development practices and applicable standards or regulations, such as: ISO 13485, ISO 14971, IEC 62304, IEC 60601, IEC 62366 Cybersecurity guidance for connected medical devices Experience working with CDMOs, external software development or design firms. Experience supporting Design History File documentation for regulated products. Experience supporting software verification, system integration testing, or validation activities. Experience with requirements-management, product-lifecycle-management, or quality-management systems such as Jama, Polarion, Arena, Agile PLM, or similar platforms. Participation in invention disclosures, intellectual-property development, or patent applications The statements above are intended to describe the general nature and level of work performed by employees assigned to this classification. Statements are not intended to be construed as an exhaustive list of all duties, responsibilities and skills required for this position. Avanos Medical is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity or any other characteristic protected by law. IMPORTANT: If you are a current employee of Avanos or a current Avanos Contractor, please apply here . Join us at Avanos Join us and you can make a difference in our products, solutions and our culture. Most of all, you can make a difference in the lives, people, and communities around the world. Make your career count Our commitment to improving the health and wellbeing of others begins with our employees - through a comprehensive and competitive range of benefits. We provide more than just a salary - our Total Rewards package encompasses everything you receive as an employee; your pay, health care benefits, retirement plans and work/life benefits. Avanos offers a generous 401(k) employer match of 100% of each pretax dollar you contribute on the first 4% and 50% of the next 2% of pay contributed with immediate vesting. Avanos also offers the following: benefits on day 1 free onsite gym onsite cafeteria HQ region voted 'best place to live' by USA Today uncapped sales commissions
Job Description Job Summary: Centrus Energy is seeking a proactive Electrical Design Engineer to join our team. If you have hands-on experience or training with industrial control panels, MCCs, and low-voltage power distribution (under 1000 V), this is your opportunity to build a career at the cutting edge of nuclear technology. In this role, you will work directly with senior engineers and contractors, contributing to the design, sizing, and commissioning of critical power-distribution and motor-control equipment for process-control applications. What You Will Do: Design & Layout: Support the design and layout of motor control centers (MCCs), switchboards, and panelboards for facility power systems Documentation & Schematics: Create and update detailed single-line diagrams, electrical schematics, wiring diagrams, interlock logic, and bills of material (BOM) Equipment Selection: Assist in specifying and selecting vital equipment, including contactors, drives, transformers, UPS systems, and grounding components Engineering Analysis: Perform load checks, short-circuit inputs, and basic electrical calculations using ETAP, EasyPower, or advanced spreadsheets under senior guidance Protection & Control: Help develop, document, and implement protective relay settings and interlock logic for low- and medium-voltage systems Compliance & Testing: Create panel layouts, drive UL 508A compliance, witness factory acceptance tests (FAT), and support field commissioning and troubleshooting Safety & Standards: Participate in hazard analyses, quality assurance, and regulatory audits; ensure all work adheres to safety codes, standards, and site procedures Reporting: Produce clear technical reports, project progress updates, and presentations for stakeholders Adaptability: Perform additional, related tasks as assigned to support project success We'd Love to Hear from Candidates With: 2+ years of hands-on experience as an electrical technician, junior designer, or similar role Familiarity with industrial control panels, MCCs, and low-voltage power distribution (under 1000 V) Bachelor's degree in Electrical Engineering (or a related technical field) or equivalent practical experience Familiarity with CAD tools and electrical analysis software (e.g., ETAP, EasyPower) is a plus Must possess or have the ability to obtain and maintain a "Q" Clearance Pay Estimated Starting Base Salary Range: $65,555-$109,259. This position is Incentive eligible. Centrus considers several factors when extending job offers, including but not limited to candidates' key skills, relevant work experience, and education/training/certifications. While the posted range reflects the anticipated hiring range for this position, compensation above the range may be considered for candidates with exceptional qualifications and directly relevant experience. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. This position will require a pre-employment background check and a pre-employment drug test. Centrus Energy and all subsidiaries shall abide by the applicable legal requirements. We prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. This position requires the successful candidate to obtain and maintain a Q security clearance. Candidates for positions requiring a security clearance are required to be tested for the absence of any illegal drug as defined in 10 CFR 707.4 prior to an offer of employment being made. In addition, once employed, employees will become part of a random drug testing program and may also be tested in the event of any incident causing injury or causing damage to property, or if it is determined that there is a reasonable suspicion the employee is under the influence of drugs or alcohol. This position will require preemployment background check on the part of the Company and in order to receive a Q security clearance, a background investigation by the Federal government. Subsequent Federal government reinvestigations may be required. Centrus Energy Corp. is an Equal Opportunity Employer.
10/25/2026
Full time
Job Description Job Summary: Centrus Energy is seeking a proactive Electrical Design Engineer to join our team. If you have hands-on experience or training with industrial control panels, MCCs, and low-voltage power distribution (under 1000 V), this is your opportunity to build a career at the cutting edge of nuclear technology. In this role, you will work directly with senior engineers and contractors, contributing to the design, sizing, and commissioning of critical power-distribution and motor-control equipment for process-control applications. What You Will Do: Design & Layout: Support the design and layout of motor control centers (MCCs), switchboards, and panelboards for facility power systems Documentation & Schematics: Create and update detailed single-line diagrams, electrical schematics, wiring diagrams, interlock logic, and bills of material (BOM) Equipment Selection: Assist in specifying and selecting vital equipment, including contactors, drives, transformers, UPS systems, and grounding components Engineering Analysis: Perform load checks, short-circuit inputs, and basic electrical calculations using ETAP, EasyPower, or advanced spreadsheets under senior guidance Protection & Control: Help develop, document, and implement protective relay settings and interlock logic for low- and medium-voltage systems Compliance & Testing: Create panel layouts, drive UL 508A compliance, witness factory acceptance tests (FAT), and support field commissioning and troubleshooting Safety & Standards: Participate in hazard analyses, quality assurance, and regulatory audits; ensure all work adheres to safety codes, standards, and site procedures Reporting: Produce clear technical reports, project progress updates, and presentations for stakeholders Adaptability: Perform additional, related tasks as assigned to support project success We'd Love to Hear from Candidates With: 2+ years of hands-on experience as an electrical technician, junior designer, or similar role Familiarity with industrial control panels, MCCs, and low-voltage power distribution (under 1000 V) Bachelor's degree in Electrical Engineering (or a related technical field) or equivalent practical experience Familiarity with CAD tools and electrical analysis software (e.g., ETAP, EasyPower) is a plus Must possess or have the ability to obtain and maintain a "Q" Clearance Pay Estimated Starting Base Salary Range: $65,555-$109,259. This position is Incentive eligible. Centrus considers several factors when extending job offers, including but not limited to candidates' key skills, relevant work experience, and education/training/certifications. While the posted range reflects the anticipated hiring range for this position, compensation above the range may be considered for candidates with exceptional qualifications and directly relevant experience. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. This position will require a pre-employment background check and a pre-employment drug test. Centrus Energy and all subsidiaries shall abide by the applicable legal requirements. We prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. This position requires the successful candidate to obtain and maintain a Q security clearance. Candidates for positions requiring a security clearance are required to be tested for the absence of any illegal drug as defined in 10 CFR 707.4 prior to an offer of employment being made. In addition, once employed, employees will become part of a random drug testing program and may also be tested in the event of any incident causing injury or causing damage to property, or if it is determined that there is a reasonable suspicion the employee is under the influence of drugs or alcohol. This position will require preemployment background check on the part of the Company and in order to receive a Q security clearance, a background investigation by the Federal government. Subsequent Federal government reinvestigations may be required. Centrus Energy Corp. is an Equal Opportunity Employer.
Job Description About Us: 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. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions - though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections - with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? Work on AI model training initiatives by curating code examples, building solutions, and correcting code - primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go. 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 and automated verification tools in Python that can verify the quality of 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 (3 years or more) Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. Experience building full-stack applications and deploying scalable 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. Engagement Details: Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week Type: Contractor (no medical/paid leave) Duration: 1 month (potential extensions based on performance and fit) Location: Candidates must be based in the United States Evaluation Process: The application process takes 15-30 minutes. Completion of an AI video interview is required.
10/25/2026
Full time
Job Description About Us: 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. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions - though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections - with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? Work on AI model training initiatives by curating code examples, building solutions, and correcting code - primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go. 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 and automated verification tools in Python that can verify the quality of 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 (3 years or more) Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. Experience building full-stack applications and deploying scalable 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. Engagement Details: Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week Type: Contractor (no medical/paid leave) Duration: 1 month (potential extensions based on performance and fit) Location: Candidates must be based in the United States Evaluation Process: The application process takes 15-30 minutes. Completion of an AI video interview is required.
Job Description About Us: 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. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions - though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections - with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? Work on AI model training initiatives by curating code examples, building solutions, and correcting code - primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go. 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 and automated verification tools in Python that can verify the quality of 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 (3 years or more) Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. Experience building full-stack applications and deploying scalable 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. Engagement Details: Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week Type: Contractor (no medical/paid leave) Duration: 1 month (potential extensions based on performance and fit) Location: Candidates must be based in the United States Evaluation Process: The application process takes 15-30 minutes. Completion of an AI video interview is required.
10/25/2026
Full time
Job Description About Us: 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. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions - though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections - with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? Work on AI model training initiatives by curating code examples, building solutions, and correcting code - primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go. 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 and automated verification tools in Python that can verify the quality of 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 (3 years or more) Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. Experience building full-stack applications and deploying scalable 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. Engagement Details: Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week Type: Contractor (no medical/paid leave) Duration: 1 month (potential extensions based on performance and fit) Location: Candidates must be based in the United States Evaluation Process: The application process takes 15-30 minutes. Completion of an AI video interview is required.
Job Description Job title: Azure .Net Solutions Architect Location: Irving Place, NY Rate: $70/hr on W2 Type: Contract Must: In-person interview Position Overview Our Fortune 500 client located in New York, NY is seeking an experienced Senior Solutions Architect to lead the architecture, design, and technical governance of a modern, AI-enabled enterprise application platform built using C#, .NET 8+, Angular 17+, Microsoft Azure, and Azure OpenAI, with integrations to ServiceNow, Azure DevOps, and other enterprise systems. This senior technical leadership role requires 12+ years of software development experience, including at least 5 years serving as a Technical Solutions Architect responsible for designing and delivering complex, multi-system enterprise applications. Required Qualifications 12+ years of professional software development experience, including 5+ years as a Technical Solutions Architect designing and delivering complex, multi-system enterprise applications. Proven experience architecting and delivering AI-enabled enterprise applications incorporating LLMs, RAG, AI agents, Azure OpenAI, and Azure AI Services. Strong hands-on development experience with C#, .NET 8 or later, ASP.NET Core Web API, and Entity Framework Core. Experience with Angular 17 or later and TypeScript, including component architecture, state management, and front-end design patterns. Strong experience with relational databases, including Microsoft SQL Server or Oracle. Extensive experience designing, deploying, and operating enterprise applications on Microsoft Azure. Hands-on experience with containerized application architectures using Docker and Kubernetes (AKS). Strong understanding of microservices architecture, REST APIs, event-driven architecture, SOLID principles, and Clean Architecture. Proven experience designing enterprise integrations using REST APIs, webhooks, messaging platforms, API gateways, and service-to-service authentication. Experience with Azure API Management, Microsoft Entra ID or Okta, and enterprise authentication protocols including SAML, OAuth 2.0, and OpenID Connect. Strong experience with Azure DevOps Repos, Boards, build and release pipelines, CI/CD automation, and automated regression testing. Experience implementing Infrastructure as Code using Terraform or Bicep. Strong knowledge of application security, OWASP Top 10, threat modeling, secure coding practices, and security-by-design principles. Demonstrated ability to establish and enforce architecture standards, coding guidelines, technical quality gates, and engineering best practices. Proven experience guiding enterprise solutions from requirements and architecture design through production implementation. Excellent communication, analytical, problem-solving, and technical leadership skills. Ability to communicate complex architectural concepts, design trade-offs, and technical recommendations to business stakeholders and engineering teams.
10/25/2026
Full time
Job Description Job title: Azure .Net Solutions Architect Location: Irving Place, NY Rate: $70/hr on W2 Type: Contract Must: In-person interview Position Overview Our Fortune 500 client located in New York, NY is seeking an experienced Senior Solutions Architect to lead the architecture, design, and technical governance of a modern, AI-enabled enterprise application platform built using C#, .NET 8+, Angular 17+, Microsoft Azure, and Azure OpenAI, with integrations to ServiceNow, Azure DevOps, and other enterprise systems. This senior technical leadership role requires 12+ years of software development experience, including at least 5 years serving as a Technical Solutions Architect responsible for designing and delivering complex, multi-system enterprise applications. Required Qualifications 12+ years of professional software development experience, including 5+ years as a Technical Solutions Architect designing and delivering complex, multi-system enterprise applications. Proven experience architecting and delivering AI-enabled enterprise applications incorporating LLMs, RAG, AI agents, Azure OpenAI, and Azure AI Services. Strong hands-on development experience with C#, .NET 8 or later, ASP.NET Core Web API, and Entity Framework Core. Experience with Angular 17 or later and TypeScript, including component architecture, state management, and front-end design patterns. Strong experience with relational databases, including Microsoft SQL Server or Oracle. Extensive experience designing, deploying, and operating enterprise applications on Microsoft Azure. Hands-on experience with containerized application architectures using Docker and Kubernetes (AKS). Strong understanding of microservices architecture, REST APIs, event-driven architecture, SOLID principles, and Clean Architecture. Proven experience designing enterprise integrations using REST APIs, webhooks, messaging platforms, API gateways, and service-to-service authentication. Experience with Azure API Management, Microsoft Entra ID or Okta, and enterprise authentication protocols including SAML, OAuth 2.0, and OpenID Connect. Strong experience with Azure DevOps Repos, Boards, build and release pipelines, CI/CD automation, and automated regression testing. Experience implementing Infrastructure as Code using Terraform or Bicep. Strong knowledge of application security, OWASP Top 10, threat modeling, secure coding practices, and security-by-design principles. Demonstrated ability to establish and enforce architecture standards, coding guidelines, technical quality gates, and engineering best practices. Proven experience guiding enterprise solutions from requirements and architecture design through production implementation. Excellent communication, analytical, problem-solving, and technical leadership skills. Ability to communicate complex architectural concepts, design trade-offs, and technical recommendations to business stakeholders and engineering teams.
Job Description About Us: 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. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions - though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections - with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? Work on AI model training initiatives by curating code examples, building solutions, and correcting code - primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go. 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 and automated verification tools in Python that can verify the quality of 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 (3 years or more) Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. Experience building full-stack applications and deploying scalable 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. Engagement Details: Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week Type: Contractor (no medical/paid leave) Duration: 1 month (potential extensions based on performance and fit) Location: Candidates must be based in the United States Evaluation Process: The application process takes 15-30 minutes. Completion of an AI video interview is required.
10/25/2026
Full time
Job Description About Us: 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. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions - though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections - with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? Work on AI model training initiatives by curating code examples, building solutions, and correcting code - primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go. 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 and automated verification tools in Python that can verify the quality of 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 (3 years or more) Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. Experience building full-stack applications and deploying scalable 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. Engagement Details: Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week Type: Contractor (no medical/paid leave) Duration: 1 month (potential extensions based on performance and fit) Location: Candidates must be based in the United States Evaluation Process: The application process takes 15-30 minutes. Completion of an AI video interview is required.
Job Description Senior Software Engineer, Aras Innovator Platform Fairborn, OH Our client is dedicated to providing the highest quality of services to our clients and employees. We are proud to be the primary partner to top companies in the automotive, aerospace, and defense industries. As a result of our continued growth, we are looking for energetic and personable professionals to join our team. Position Summary Our client is seeking an experienced Senior Software Engineer to join their core engineering team responsible for the development and evolution of Aras Innovator, their enterprise low-code platform. In this role, you will work on a wide range of platform solutions spanning cloud, SaaS, and hybrid deployment models while contributing to architecture, performance, and long-term platform stability. Key Responsibilities Design, develop, and maintain platform services and components across cloud, SaaS, and hybrid environments. Own features end-to-end, from discovery and design through implementation, deployment, and production support. Contribute to platform architecture and influence technical direction. Work across new initiatives and existing platform functionality based on evolving priorities. Write clean, maintainable, and testable code using modern engineering best practices. Participate in DevOps practices including CI/CD pipelines, GitOps workflows, and cloud deployments. Collaborate with cross-functional teams to refine scope, manage technical risks, and ensure successful delivery. Improve platform reliability, scalability, performance, and security. Share knowledge, mentor peers, and contribute to the continuous improvement of engineering practices. Requirement Qualifications 6-8+ years of experience in commercial software development. Strong expertise in C# / .NET. Experience building and operating cloud-based systems (Azure preferred). Hands-on experience with Docker, Kubernetes (AKS or Azure Container Apps), and Helm. Solid understanding of DevOps and CI/CD practices. Strong knowledge of SQL Server and T-SQL. Deep understanding of OOP, SOLID principles, clean architecture, and design patterns. Experience building and consuming REST APIs and working with HTTP-based standards such as OData. Experience working in Agile development environments. MUST BE A US BORN CITIZEN ELIGIBLE FOR A UNITED STATES SECURITY CLEARANCE
10/25/2026
Full time
Job Description Senior Software Engineer, Aras Innovator Platform Fairborn, OH Our client is dedicated to providing the highest quality of services to our clients and employees. We are proud to be the primary partner to top companies in the automotive, aerospace, and defense industries. As a result of our continued growth, we are looking for energetic and personable professionals to join our team. Position Summary Our client is seeking an experienced Senior Software Engineer to join their core engineering team responsible for the development and evolution of Aras Innovator, their enterprise low-code platform. In this role, you will work on a wide range of platform solutions spanning cloud, SaaS, and hybrid deployment models while contributing to architecture, performance, and long-term platform stability. Key Responsibilities Design, develop, and maintain platform services and components across cloud, SaaS, and hybrid environments. Own features end-to-end, from discovery and design through implementation, deployment, and production support. Contribute to platform architecture and influence technical direction. Work across new initiatives and existing platform functionality based on evolving priorities. Write clean, maintainable, and testable code using modern engineering best practices. Participate in DevOps practices including CI/CD pipelines, GitOps workflows, and cloud deployments. Collaborate with cross-functional teams to refine scope, manage technical risks, and ensure successful delivery. Improve platform reliability, scalability, performance, and security. Share knowledge, mentor peers, and contribute to the continuous improvement of engineering practices. Requirement Qualifications 6-8+ years of experience in commercial software development. Strong expertise in C# / .NET. Experience building and operating cloud-based systems (Azure preferred). Hands-on experience with Docker, Kubernetes (AKS or Azure Container Apps), and Helm. Solid understanding of DevOps and CI/CD practices. Strong knowledge of SQL Server and T-SQL. Deep understanding of OOP, SOLID principles, clean architecture, and design patterns. Experience building and consuming REST APIs and working with HTTP-based standards such as OData. Experience working in Agile development environments. MUST BE A US BORN CITIZEN ELIGIBLE FOR A UNITED STATES SECURITY CLEARANCE
Job Description Job-Senior Business Analyst & Prompt Engineer (AI Skills) Job Location - NYC, NY Job Type- Full Time The role A senior, independent contributor who designs, tests and maintains reusable AI "Skills": structured prompts, instructions and evaluation sets that let AI agents do work across the product development lifecycle. Examples include drafting business intent documents, generating epics and stories, and checking requirements against risk and policy standards. You'll work directly with senior product, technology and risk stakeholders. This is not an engineering role: we want someone who knows how models behave and can reliably get the results the business needs. Location: New York City, hybrid (3 days a week onsite) Engagement: Embedded with a technology and operations team at a large global bank Level: Senior, independent contributor What you'll do Turn business processes (ideation, business case, requirements, design review, testing) into well-defined AI Skills with clear inputs, outputs, quality criteria and escalation points. Write, test and refine prompts and instruction sets for large language models, using structured outputs, few-shot examples, role and context framing, and step decomposition. Build evaluation sets and rubrics that measure completeness, consistency and accuracy of Skill outputs, and iterate on failures until quality is production-ready. Run discovery with senior stakeholders to define what "good" looks like, and document it as business requirements, epics and user stories with acceptance criteria. Define where humans approve and where agents proceed on their own, including approval gates, review points and exception handling. Work with risk, compliance and control teams so Skills reflect policy, regulatory and audit expectations from the start. Maintain a versioned library of Skills with documentation, usage guidance and change history. Compare models and model versions on specific tasks, and recommend which suits which job, flagging cost, latency and reliability trade-offs. Coach product and business teams on effective use of AI tools. What we're looking for Must have 8+ years in business analysis, product, process or consulting roles, including 2+ years of hands-on prompt engineering or LLM-based solution design (assumed range; adjust as needed). Deep working knowledge of how leading LLMs behave (strengths, failure modes, hallucination, consistency, instruction-following) and how to steer them. Strong requirements skills: BRDs, epics, user stories, Gherkin or similar acceptance criteria, process and workflow mapping. Proven ability to work independently, influence senior stakeholders, and write clearly. Experience in financial services or another regulated industry, and comfort in risk, compliance and control environments. A learning mindset: able to describe what you're proud of, what failed and what you learned, and open to being coached and adapting your approach. Nice to have Experience with Gemini or other enterprise LLM platforms, and AI-assisted development tools such as GitHub Copilot/Devin/Kiro/Codex/Claude Code/Cursor Familiarity with Jira, Confluence and Figma, and with agent or multi-agent workflow concepts. Experience designing LLM evaluation, red-teaming or "LLM-as-judge" validation approaches. Exposure to the software or product development lifecycle from idea to release. Not required Software engineering depth. Light Python or API familiarity helps but is not expected. Success looks like A tested library of Skills in use across multiple stages of the lifecycle. Measurable improvement in output quality, consistency and cycle time against agreed evaluation criteria. Stakeholders who trust the Skills and can adopt them without hand-holding.
10/25/2026
Full time
Job Description Job-Senior Business Analyst & Prompt Engineer (AI Skills) Job Location - NYC, NY Job Type- Full Time The role A senior, independent contributor who designs, tests and maintains reusable AI "Skills": structured prompts, instructions and evaluation sets that let AI agents do work across the product development lifecycle. Examples include drafting business intent documents, generating epics and stories, and checking requirements against risk and policy standards. You'll work directly with senior product, technology and risk stakeholders. This is not an engineering role: we want someone who knows how models behave and can reliably get the results the business needs. Location: New York City, hybrid (3 days a week onsite) Engagement: Embedded with a technology and operations team at a large global bank Level: Senior, independent contributor What you'll do Turn business processes (ideation, business case, requirements, design review, testing) into well-defined AI Skills with clear inputs, outputs, quality criteria and escalation points. Write, test and refine prompts and instruction sets for large language models, using structured outputs, few-shot examples, role and context framing, and step decomposition. Build evaluation sets and rubrics that measure completeness, consistency and accuracy of Skill outputs, and iterate on failures until quality is production-ready. Run discovery with senior stakeholders to define what "good" looks like, and document it as business requirements, epics and user stories with acceptance criteria. Define where humans approve and where agents proceed on their own, including approval gates, review points and exception handling. Work with risk, compliance and control teams so Skills reflect policy, regulatory and audit expectations from the start. Maintain a versioned library of Skills with documentation, usage guidance and change history. Compare models and model versions on specific tasks, and recommend which suits which job, flagging cost, latency and reliability trade-offs. Coach product and business teams on effective use of AI tools. What we're looking for Must have 8+ years in business analysis, product, process or consulting roles, including 2+ years of hands-on prompt engineering or LLM-based solution design (assumed range; adjust as needed). Deep working knowledge of how leading LLMs behave (strengths, failure modes, hallucination, consistency, instruction-following) and how to steer them. Strong requirements skills: BRDs, epics, user stories, Gherkin or similar acceptance criteria, process and workflow mapping. Proven ability to work independently, influence senior stakeholders, and write clearly. Experience in financial services or another regulated industry, and comfort in risk, compliance and control environments. A learning mindset: able to describe what you're proud of, what failed and what you learned, and open to being coached and adapting your approach. Nice to have Experience with Gemini or other enterprise LLM platforms, and AI-assisted development tools such as GitHub Copilot/Devin/Kiro/Codex/Claude Code/Cursor Familiarity with Jira, Confluence and Figma, and with agent or multi-agent workflow concepts. Experience designing LLM evaluation, red-teaming or "LLM-as-judge" validation approaches. Exposure to the software or product development lifecycle from idea to release. Not required Software engineering depth. Light Python or API familiarity helps but is not expected. Success looks like A tested library of Skills in use across multiple stages of the lifecycle. Measurable improvement in output quality, consistency and cycle time against agreed evaluation criteria. Stakeholders who trust the Skills and can adopt them without hand-holding.
Job Description About Us: 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. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions - though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections - with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? Work on AI model training initiatives by curating code examples, building solutions, and correcting code - primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go. 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 and automated verification tools in Python that can verify the quality of 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 (3 years or more) Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. Experience building full-stack applications and deploying scalable 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. Engagement Details: Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week Type: Contractor (no medical/paid leave) Duration: 1 month (potential extensions based on performance and fit) Location: Candidates must be based in the United States Evaluation Process: The application process takes 15-30 minutes. Completion of an AI video interview is required.
10/25/2026
Full time
Job Description About Us: 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. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions - though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections - with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? Work on AI model training initiatives by curating code examples, building solutions, and correcting code - primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go. 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 and automated verification tools in Python that can verify the quality of 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 (3 years or more) Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. Experience building full-stack applications and deploying scalable 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. Engagement Details: Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week Type: Contractor (no medical/paid leave) Duration: 1 month (potential extensions based on performance and fit) Location: Candidates must be based in the United States Evaluation Process: The application process takes 15-30 minutes. Completion of an AI video interview is required.
Job Description About Us: 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. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions - though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections - with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? Work on AI model training initiatives by curating code examples, building solutions, and correcting code - primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go. 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 and automated verification tools in Python that can verify the quality of 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 (3 years or more) Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. Experience building full-stack applications and deploying scalable 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. Engagement Details: Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week Type: Contractor (no medical/paid leave) Duration: 1 month (potential extensions based on performance and fit) Location: Candidates must be based in the United States Evaluation Process: The application process takes 15-30 minutes. Completion of an AI video interview is required.
10/25/2026
Full time
Job Description About Us: 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. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions - though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections - with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? Work on AI model training initiatives by curating code examples, building solutions, and correcting code - primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go. 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 and automated verification tools in Python that can verify the quality of 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 (3 years or more) Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. Experience building full-stack applications and deploying scalable 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. Engagement Details: Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week Type: Contractor (no medical/paid leave) Duration: 1 month (potential extensions based on performance and fit) Location: Candidates must be based in the United States Evaluation Process: The application process takes 15-30 minutes. Completion of an AI video interview is required.
Job Description About Us: 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. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions - though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections - with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? Work on AI model training initiatives by curating code examples, building solutions, and correcting code - primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go. 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 and automated verification tools in Python that can verify the quality of 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 (3 years or more) Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. Experience building full-stack applications and deploying scalable 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. Engagement Details: Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week Type: Contractor (no medical/paid leave) Duration: 1 month (potential extensions based on performance and fit) Location: Candidates must be based in the United States Evaluation Process: The application process takes 15-30 minutes. Completion of an AI video interview is required.
10/25/2026
Full time
Job Description About Us: 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. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions - though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections - with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? Work on AI model training initiatives by curating code examples, building solutions, and correcting code - primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go. 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 and automated verification tools in Python that can verify the quality of 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 (3 years or more) Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. Experience building full-stack applications and deploying scalable 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. Engagement Details: Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week Type: Contractor (no medical/paid leave) Duration: 1 month (potential extensions based on performance and fit) Location: Candidates must be based in the United States Evaluation Process: The application process takes 15-30 minutes. Completion of an AI video interview is required.
Job Description About Us: 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. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions - though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections - with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? Work on AI model training initiatives by curating code examples, building solutions, and correcting code - primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go. 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 and automated verification tools in Python that can verify the quality of 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 (3 years or more) Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. Experience building full-stack applications and deploying scalable 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. Engagement Details: Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week Type: Contractor (no medical/paid leave) Duration: 1 month (potential extensions based on performance and fit) Location: Candidates must be based in the United States Evaluation Process: The application process takes 15-30 minutes. Completion of an AI video interview is required.
10/25/2026
Full time
Job Description About Us: 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. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions - though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections - with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? Work on AI model training initiatives by curating code examples, building solutions, and correcting code - primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go. 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 and automated verification tools in Python that can verify the quality of 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 (3 years or more) Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. Experience building full-stack applications and deploying scalable 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. Engagement Details: Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week Type: Contractor (no medical/paid leave) Duration: 1 month (potential extensions based on performance and fit) Location: Candidates must be based in the United States Evaluation Process: The application process takes 15-30 minutes. Completion of an AI video interview is required.
Job Description About Us: 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. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions - though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections - with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? Work on AI model training initiatives by curating code examples, building solutions, and correcting code - primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go. 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 and automated verification tools in Python that can verify the quality of 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 (3 years or more) Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. Experience building full-stack applications and deploying scalable 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. Engagement Details: Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week Type: Contractor (no medical/paid leave) Duration: 1 month (potential extensions based on performance and fit) Location: Candidates must be based in the United States Evaluation Process: The application process takes 15-30 minutes. Completion of an AI video interview is required.
10/25/2026
Full time
Job Description About Us: 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. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions - though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections - with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? Work on AI model training initiatives by curating code examples, building solutions, and correcting code - primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go. 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 and automated verification tools in Python that can verify the quality of 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 (3 years or more) Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. Experience building full-stack applications and deploying scalable 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. Engagement Details: Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week Type: Contractor (no medical/paid leave) Duration: 1 month (potential extensions based on performance and fit) Location: Candidates must be based in the United States Evaluation Process: The application process takes 15-30 minutes. Completion of an AI video interview is required.
Job Description About Us: 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. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions - though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections - with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? Work on AI model training initiatives by curating code examples, building solutions, and correcting code - primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go. 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 and automated verification tools in Python that can verify the quality of 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 (3 years or more) Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. Experience building full-stack applications and deploying scalable 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. Engagement Details: Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week Type: Contractor (no medical/paid leave) Duration: 1 month (potential extensions based on performance and fit) Location: Candidates must be based in the United States Evaluation Process: The application process takes 15-30 minutes. Completion of an AI video interview is required.
10/25/2026
Full time
Job Description About Us: 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. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions - though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections - with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? Work on AI model training initiatives by curating code examples, building solutions, and correcting code - primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go. 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 and automated verification tools in Python that can verify the quality of 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 (3 years or more) Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. Experience building full-stack applications and deploying scalable 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. Engagement Details: Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week Type: Contractor (no medical/paid leave) Duration: 1 month (potential extensions based on performance and fit) Location: Candidates must be based in the United States Evaluation Process: The application process takes 15-30 minutes. Completion of an AI video interview is required.
Job Description About Us: 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. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions - though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections - with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? Work on AI model training initiatives by curating code examples, building solutions, and correcting code - primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go. 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 and automated verification tools in Python that can verify the quality of 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 (3 years or more) Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. Experience building full-stack applications and deploying scalable 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. Engagement Details: Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week Type: Contractor (no medical/paid leave) Duration: 1 month (potential extensions based on performance and fit) Location: Candidates must be based in the United States Evaluation Process: The application process takes 15-30 minutes. Completion of an AI video interview is required.
10/25/2026
Full time
Job Description About Us: 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. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions - though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections - with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? Work on AI model training initiatives by curating code examples, building solutions, and correcting code - primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go. 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 and automated verification tools in Python that can verify the quality of 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 (3 years or more) Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. Experience building full-stack applications and deploying scalable 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. Engagement Details: Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week Type: Contractor (no medical/paid leave) Duration: 1 month (potential extensions based on performance and fit) Location: Candidates must be based in the United States Evaluation Process: The application process takes 15-30 minutes. Completion of an AI video interview is required.
Job Description About Us: 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. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions - though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections - with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? Work on AI model training initiatives by curating code examples, building solutions, and correcting code - primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go. 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 and automated verification tools in Python that can verify the quality of 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 (3 years or more) Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. Experience building full-stack applications and deploying scalable 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. Engagement Details: Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week Type: Contractor (no medical/paid leave) Duration: 1 month (potential extensions based on performance and fit) Location: Candidates must be based in the United States Evaluation Process: The application process takes 15-30 minutes. Completion of an AI video interview is required.
10/25/2026
Full time
Job Description About Us: 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. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions - though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections - with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? Work on AI model training initiatives by curating code examples, building solutions, and correcting code - primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go. 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 and automated verification tools in Python that can verify the quality of 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 (3 years or more) Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. Experience building full-stack applications and deploying scalable 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. Engagement Details: Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week Type: Contractor (no medical/paid leave) Duration: 1 month (potential extensions based on performance and fit) Location: Candidates must be based in the United States Evaluation Process: The application process takes 15-30 minutes. Completion of an AI video interview is required.
Job Description About Us: 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. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions - though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections - with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? Work on AI model training initiatives by curating code examples, building solutions, and correcting code - primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go. 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 and automated verification tools in Python that can verify the quality of 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 (3 years or more) Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. Experience building full-stack applications and deploying scalable 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. Engagement Details: Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week Type: Contractor (no medical/paid leave) Duration: 1 month (potential extensions based on performance and fit) Location: Candidates must be based in the United States Evaluation Process: The application process takes 15-30 minutes. Completion of an AI video interview is required.
10/25/2026
Full time
Job Description About Us: 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. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions - though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections - with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? Work on AI model training initiatives by curating code examples, building solutions, and correcting code - primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go. 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 and automated verification tools in Python that can verify the quality of 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 (3 years or more) Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. Experience building full-stack applications and deploying scalable 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. Engagement Details: Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week Type: Contractor (no medical/paid leave) Duration: 1 month (potential extensions based on performance and fit) Location: Candidates must be based in the United States Evaluation Process: The application process takes 15-30 minutes. Completion of an AI video interview is required.
Job Description About Us: 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. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions - though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections - with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? Work on AI model training initiatives by curating code examples, building solutions, and correcting code - primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go. 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 and automated verification tools in Python that can verify the quality of 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 (3 years or more) Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. Experience building full-stack applications and deploying scalable 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. Engagement Details: Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week Type: Contractor (no medical/paid leave) Duration: 1 month (potential extensions based on performance and fit) Location: Candidates must be based in the United States Evaluation Process: The application process takes 15-30 minutes. Completion of an AI video interview is required.
10/25/2026
Full time
Job Description About Us: 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. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions - though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections - with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? Work on AI model training initiatives by curating code examples, building solutions, and correcting code - primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go. 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 and automated verification tools in Python that can verify the quality of 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 (3 years or more) Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. Experience building full-stack applications and deploying scalable 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. Engagement Details: Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week Type: Contractor (no medical/paid leave) Duration: 1 month (potential extensions based on performance and fit) Location: Candidates must be based in the United States Evaluation Process: The application process takes 15-30 minutes. Completion of an AI video interview is required.
Job Description Job Description Unity 3D Developer (No c2c) Location: Sunnyvale CA (onsite role) Duration: 4-12 months contract with potential extension Interview: 2 rounds W2 only Description: Primary Function of Position We seek a Software Engineer with Unity 3D experience to join our growing Performance Solutions team at Client. Our team's mission is to leverage emerging technologies to help accomplish client's mission of advancing minimally invasive care. Our primary customer is Client's Commercial organization, with quarterly deliverables of updates to our visualization, training, and demonstration tools. As a member of our team you will work on the development of virtual reality, mixed reality, and traditional applications using the latest XR technologies to model surgical robotic hardware. As a Software Engineer, you will support our team of senior developers and independently build features from clearly scoped, step-by-step direction. You will be joining a mature codebase, and a core part of the job is reading and understanding existing code well enough to extend it without breaking it. The successful candidate must excel in an agile, focused, small-team environment and commit to high-quality deliverables on a quarterly basis. A strong sense of shared responsibility and shared reward is required. Roles and Responsibilities Support senior developers in the completion of their tasks. Scope and estimate your own work accurately, and flag slippage early when estimates change. Independently build features from clearly scoped, step-by-step direction. Collaborate with cross-functional team of developers, designers, and QA. Create good documentation for features and techniques that were tried and rejected or implemented. Ability to transfer knowledge to and from team-mates. Architect software in a modular fashion to support scalable, reusable features. Build, debug, and deploy next generation XR and traditional apps for Windows and Android in the Unity game engine using C#. Apply good software engineering practices to write elegant, maintainable, reusable code. Minimum Requirements BS in computer science or related fields. MS or higher a plus. 3+ years of real-world experience developing and shipping Unity-based applications or video games. Proven track record of onboarding onto a mature codebase and shipping meaningful contributions. Experience developing for XR technologies and devices like the Meta Quest, HoloLens, Apple Vision Pro. Strong knowledge and understanding of C#, OO programming patterns, and software architecture. Ability to self-test, debug and verify own work before handing off to QA. Strong knowledge of using Git for source control, branching, and PRs. Great communication skills and ability to excel in a collaborative team environment. Bonus Characteristics Ability to create UI/UX assets in Unity. Experience writing graphics shaders in Unity. Experience programming in other languages like Python, C++. Experience developing Android applications in Java or Kotlin and using ADB. Experience in creating and using animated 3D models. Experience with other game engines/tools that may be used in the pipeline such as Blender, Figma, Photoshop, Substance Painter, ZBrush, and Maya. Familiarity or experience developing for other game engines like Unreal, Godot, Lumberyard, Source. Regards Shubham Gupta Phone: Email: DGN Technologies, Inc 46500 Fremont Blvd, Suite 708 Fremont, CA 94538
10/25/2026
Full time
Job Description Job Description Unity 3D Developer (No c2c) Location: Sunnyvale CA (onsite role) Duration: 4-12 months contract with potential extension Interview: 2 rounds W2 only Description: Primary Function of Position We seek a Software Engineer with Unity 3D experience to join our growing Performance Solutions team at Client. Our team's mission is to leverage emerging technologies to help accomplish client's mission of advancing minimally invasive care. Our primary customer is Client's Commercial organization, with quarterly deliverables of updates to our visualization, training, and demonstration tools. As a member of our team you will work on the development of virtual reality, mixed reality, and traditional applications using the latest XR technologies to model surgical robotic hardware. As a Software Engineer, you will support our team of senior developers and independently build features from clearly scoped, step-by-step direction. You will be joining a mature codebase, and a core part of the job is reading and understanding existing code well enough to extend it without breaking it. The successful candidate must excel in an agile, focused, small-team environment and commit to high-quality deliverables on a quarterly basis. A strong sense of shared responsibility and shared reward is required. Roles and Responsibilities Support senior developers in the completion of their tasks. Scope and estimate your own work accurately, and flag slippage early when estimates change. Independently build features from clearly scoped, step-by-step direction. Collaborate with cross-functional team of developers, designers, and QA. Create good documentation for features and techniques that were tried and rejected or implemented. Ability to transfer knowledge to and from team-mates. Architect software in a modular fashion to support scalable, reusable features. Build, debug, and deploy next generation XR and traditional apps for Windows and Android in the Unity game engine using C#. Apply good software engineering practices to write elegant, maintainable, reusable code. Minimum Requirements BS in computer science or related fields. MS or higher a plus. 3+ years of real-world experience developing and shipping Unity-based applications or video games. Proven track record of onboarding onto a mature codebase and shipping meaningful contributions. Experience developing for XR technologies and devices like the Meta Quest, HoloLens, Apple Vision Pro. Strong knowledge and understanding of C#, OO programming patterns, and software architecture. Ability to self-test, debug and verify own work before handing off to QA. Strong knowledge of using Git for source control, branching, and PRs. Great communication skills and ability to excel in a collaborative team environment. Bonus Characteristics Ability to create UI/UX assets in Unity. Experience writing graphics shaders in Unity. Experience programming in other languages like Python, C++. Experience developing Android applications in Java or Kotlin and using ADB. Experience in creating and using animated 3D models. Experience with other game engines/tools that may be used in the pipeline such as Blender, Figma, Photoshop, Substance Painter, ZBrush, and Maya. Familiarity or experience developing for other game engines like Unreal, Godot, Lumberyard, Source. Regards Shubham Gupta Phone: Email: DGN Technologies, Inc 46500 Fremont Blvd, Suite 708 Fremont, CA 94538