The ideal candidates will be responsible for designing mechanical components and systems, contributing to conceptual design, and proposing innovative technical solutions across various product lines: Powertrain (PWT), E-Machines, Batteries, and Internal Combustion Engines (ICE).

Responsibilities:

• Develop 2D and 3D mechanical designs using industry-standard CAD tools (CATIA, Creo, NX)
• Create and update detailed drawings following ISO standards, geometric tolerancing, and dimension chains
• Participate in conceptual design, proposing technically sound and innovative solutions
• Perform design feasibility checks, tolerance analysis, and suggest improvements
• Support product development activities for PWT components, E-Machines, Batteries, and ICE systems
• Ensure compliance with internal design standards, quality requirements, and project deadlines
• Prepare and present technical documentation and design reviews in English
• Contribute to continuous improvement of design methodologies and technical knowledge

Requirements:

• Bachelor’s degree in Mechanical Engineering, Automotive Engineering, or a related field
• Practical experience in the design of powertrain systems
• Proficiency in at least one 3D CAD system (NX, CATIA, and/or Creo)
• Familiarity with PLM tools (Teamcenter, Windchill, Enovia)
• Strong knowledge of ISO standards, GD&T, and dimension/tolerance chain analysis
• Business-level English
• Experience in intercultural teamwork and strong communication skills

Benefits:

• Smooth Onboarding: Our technical and personal onboarding concept will help you transition easily.
• Career Development: Opportunities for growth and advancement within the company, including mentorship and training programs tailored to your goals.
• Flexible Working Arrangements: Options for mobile working and flexible hours to support a healthy work-life balance.
• Collaborative Environment: A culture that encourages open communication, teamwork, and innovative thinking.
• Community Connection: Regular employee events and activities that foster camaraderie and strengthen team bonds.
• Recognition and Support: A commitment to recognizing your contributions and providing the support you need to thrive.

Be part of our pioneering work– together with our customers we shape the future of mobility!

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Key responsibilities include solving ECU-related issues during engine test bed testing of internal combustion engines and hybrid powertrains, adapting calibration data to meet emissions limits, drivability concerns, fuel consumption targets, and performance targets, and steering development and implementation of improvement measures to avoid ECU-related issues and improve KPIs for engine or hybrid system operation.

A degree in mechanical engineering, electrical engineering, mechatronics, physics, or comparable studies is required, along with genuine interest and knowledge in internal combustion engines and hybrid powertrains. Knowledge of automotive electronics and communication systems (CAN, etc.) is desirable.

The ideal candidate will have the ability to investigate root cause of issues, analyze data, and formally present and report testing results, as well as high-level coordination, communication, and team skills. Good knowledge of English is required, with German being desirable but not compulsory.

In return, AVL offers medical insurance for employees, flexible schedule regulation, training programs, an annual bonus for goals, and a kids club with gifts for the smallest of the family.

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We are committed to delivering excellence in the development, simulation, testing and integration of propulsion systems, with all the experience of the AVL group in a local, personalized way and with a close technical service.

Our team is formed by an international team that develops cutting-edge mobility technology. We offer a wide range of benefits, including:

• Innovative Environment: join a forward-thinking company that promotes a pro-active work atmosphere.
• Career Progression: opportunities for professional growth within our organization.
• Competitive Salary: we offer a competitive salary package improving industry standards.
• Language Learning: access to language learning resources for employees interested in improving their English/German/French skills.

If you are a motivated and enthusiastic individual with a passion for mobility development and technical innovation, we encourage you to apply for this exciting opportunity.

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Responsibilities

• Support the administration of Databricks environments (DEV, TEST, PROD)
• Manage user access, roles, and permissions
• Support identity provisioning via Azure AD / AWS IAM
• Collaborate with cloud teams on connectivity, storage access, and security topics

• Manage access to notebooks, jobs, clusters, and SQL Warehouses
• Support cluster configuration and usage policies
• Troubleshoot platform-related issues and coordinate with support teams
• Maintain operational documentation and internal guidelines

• Support Unity Catalog governance (catalogs, schemas, tables)
• Manage access controls and data ownership
• Ensure platform security standards and audit readiness
• Contribute to compliance and governance processes

• Support CI/CD processes for Databricks deployments
• Participate in automation initiatives using Git-based workflows
• Contribute to standard templates and deployment practices
• Support lifecycle management across environments

• Monitor platform usage and identify optimization opportunities
• Support cost tracking and reporting activities
• Contribute to tagging and governance practices for cost attribution

Requirements

• Master’s degree in Computer Science, Software Engineering, Data Engineering, or a related technical field
• Minimum 3 years of experience in Databricks platform administration, preferably in an Azure environment
• Good understanding of CI/CD concepts and Git-based workflows
• Experience working in cloud-based data platforms or DevOps environments is a plus
• Experience with Databricks administration (workspace management, access management, clusters, Unity Catalog is a plus)
• Knowledge of Azure cloud services (preferred) or other cloud providers
• Familiarity with Infrastructure as Code concepts (Terraform is a plus)
• Scripting knowledge (Python or Bash is a plus)
• Databricks certifications (ex: Databricks Certified Data Engineer, Databricks Platform Administrator)
• Cloud certifications such as Azure Data Engineer, AWS Solutions Architect, or equivalent
• Strong English communication skills (written and spoken)
• Good analytical and troubleshooting skills
• Ability to work in a collaborative and international environment
• Proactive mindset and structured way of working

Benefits

• A role with true technical ownership: architecture, scaling, and governance decisions that directly impact production AI solutions.
• Complex projects that go beyond “just pipelines” – covering big data processing and large-scale ML/DL deployment.
• Opportunities to deepen your expertise in Databricks, cloud-native ML, and MLOps.
• A team where your input and technical decisions truly matter.
• A competitive package and benefits.

Join us and make a direct impact on shaping the future of Data, AI, and Mobility.

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As a test bed engineer at AVL, you'll work closely with both technology and customers, ensuring that test objects and test cells function optimally throughout the entire test process. Your responsibilities will include preparing, installing, and monitoring test objects, performing calibration, maintenance, and repair of both test objects and test cells. You'll also be responsible for quality assurance and analysis of test data, as well as configuring measurement systems, both hardware and software. Your work will involve systematic fault-finding and documentation, as well as practical work with test equipment, logistics, and goods management. You'll have daily contact and close collaboration with customers, making communication and relationship-building a key part of your daily work.

To succeed in this role, we believe you'll need:

• The ability to work independently and in teams
• A strong desire to develop and learn new things
• Documented experience in practical mechanical work with vehicles, machines, or similar
• Understanding of the importance of following processes and routines, as well as the ability to solve problems on your own
• A quality-focused approach and interest in improvement work
• Good technical understanding of drivelines
• Ability to communicate clearly in both Swedish and English, verbally and in writing
• Possibility to work according to shift schedules (2-, 3-, or 4-shift)
• B-class driver's license (required)

Preferred qualifications include:

• Post-secondary education in a relevant technical field
• Experience in testing or development in a controlled environment
• Documented experience in customer-facing work

We offer:

• A varied role with significant personal responsibility
• An education package to support your technical development
• A personalized onboarding concept to help you get started in the organization
• Collective agreement, insurance, and attractive benefits, including a health care allowance
• Opportunity to work in an engaged team in a growing future-oriented industry

If you're interested in this opportunity, please don't hesitate to apply! We conduct ongoing selection, so we'll be in touch with and interview candidates as soon as applications come in.

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The successful candidate will have a Bachelor's degree in Electrical Engineering or a related field and 5 years of experience in job duties as stated. The position is located in Plymouth, MI, with 75% travel to clients throughout the U.S. May require work at various unanticipated client locations throughout the U.S.

Responsibilities:

• Provide technical engineering and customer liaison support services for product, system, and software installation, commissioning, configuration, and calibration troubleshooting for chassis dynamometer testing systems in multi-configuration test cells.

• Perform chassis dynamometer calibration.

• Troubleshoot test and measurement products and systems.

• Develop troubleshooting guides.

• Create commissioning documents.

• Provide training on systems.

Benefits:

• Competitive compensation and benefits package.

• Specific benefit details and offer packages will be communicated during the interview and/or offer stage.

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Responsibilities:

• Develop 2D and 3D mechanical designs using industry-standard CAD tools (CATIA, Creo, NX)
• Create and update detailed drawings following ISO standards, geometric tolerancing, and dimension chains
• Participate in conceptual design, proposing technically sound and innovative solutions
• Perform design feasibility checks, tolerance analysis, and suggest improvements
• Support product development activities for PWT components, E-Machines, Batteries, and ICE systems
• Ensure compliance with internal design standards, quality requirements, and project deadlines
• Prepare and present technical documentation and design reviews in English
• Contribute to continuous improvement of design methodologies and technical knowledge

Requirements:

• Bachelor’s degree in Mechanical Engineering, Automotive Engineering, or a related field
• Practical experience in the design of powertrain systems
• Proficiency in at least one 3D CAD system (NX, CATIA, and/or Creo)
• Familiarity with PLM tools (Teamcenter, Windchill, Enovia)
• Strong knowledge of ISO standards, GD&T, and dimension/tolerance chain analysis
• Business-level English
• Experience in intercultural teamwork and strong communication skills

Benefits:

• Smooth Onboarding: Our technical and personal onboarding concept will help you transition easily.
• Career Development: Opportunities for growth and advancement within the company, including mentorship and training programs tailored to your goals.
• Flexible Working Arrangements: Options for mobile working and flexible hours to support a healthy work-life balance.
• Collaborative Environment: A culture that encourages open communication, teamwork, and innovative thinking.
• Community Connection: Regular employee events and activities that foster camaraderie and strengthen team bonds.
• Recognition and Support: A commitment to recognizing your contributions and providing the support you need to thrive.

Join our pioneering work – together with our customers we shape the future of mobility!

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Your responsibilities will include:

• Performing concept and detail design (3D & 2D) of mechanical systems
• Supporting the development of automotive components
• Creating and maintaining bills of material
• Checking digital vehicle mock-ups and package models
• Creating part assemblies
• Presenting the work results in project and design reviews

To succeed in this role, you will need to have a good working knowledge of CAD systems such as CATIA V5, SolidWorks, Pro/ENGINEER, or Creo Elements, as well as knowledge in fabrication technologies. You should also be proficient in English and have strong communication and collaboration skills, combined with a high standard for delivering quality-driven engineering services.

Our company offers a range of benefits, including knowledge-sharing, collaboration with universities and master's program, expanding our know-how, performance running in our blood, community support, and more.

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Your responsibilities will include developing and executing system-level test strategies for power electronic products, analysing and post-processing test data using AVL tools, providing technical support to Product Management, preparing and updating service-related documentation, and supporting installation, commissioning, and service teams.

You will also act as 3rd-level support by analysing complex technical issues, coordinating with development teams, and ensuring structured problem resolution. Additionally, you will perform failure analysis, drive structured problem-solving processes, and provide customer and application feedback to development teams.

To succeed in this role, you will need a degree from a technical college, university of applied sciences, or university of technology in electrical engineering, automation engineering, or a comparable field. You should have basic understanding of power converters and their applications, experience with industrial communication systems, hands-on experience in setting up and working with measurement systems, and strong problem-solving mindset.

You will also need strong communication skills, the ability to act as an interface between development teams, technicians, and project managers, and a team-oriented mindset with confidence in technical discussions. Good command of English (B2 or higher) is also required.

In return, you will have the opportunity to grow within a multidisciplinary and experienced engineering team, working on complex system-level solutions. You will also have the chance to work with advanced power electronics technologies and high-end testing equipment, enabling continuous technical learning and development.

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The Test Engineer operates at the interface between vehicle testing, embedded systems verification, data analysis, and regulatory conformity, contributing actively to continuous improvement of OBM monitoring fleets and analysis tools.

Responsibilities:

• Configuration, validation and upgrading of test vehicles in accordance with OBM requirements and test program specifications
• Verification of embedded systems integrity, including hardware, software and OBM-related functions
• Validation and setup of data acquisition chains, sensors, communication interfaces and logging systems
• Preparation and coordination of vehicle logistics, planning and operational readiness for fleet deployment
• Planning and launching fleets under defined test conditions and usage scenarios
• Definition, implementation and monitoring of data collection protocols and traceability rules
• Processing, filtering and consolidation of data collected from OBM-equipped vehicles for transferring to data analysis team
• Verification of data completeness, consistency and coherence across different sources and measurement channels
• Assessment of conformity against OBM regulatory and technical criteria
• Execution of first-level technical analysis to identify anomalies, deviations or atypical behaviors
• Preparation of dashboards, KPIs, synthesis reports and technical summaries for engineering and project teams
• Contribution to the continuous improvement of monitoring strategies, analysis tools and data quality processes
• Participation in technical meetings and reviews to support data interpretation, conformity assessment and tool enhancement

Profile:

• Degree in mechanical engineering, electro-mechanical engineering, electronic engineering or a related field
• Experience in both an industrial and product development setting is an asset
• Strength in developing new test methods and improving existing ones by applying fundamental understanding
• Good knowledge of thermodynamics, internal combustion engines and hybrid platforms is an asset
• Experience with dedicated tools such as INCA, CANalyzer, CANoe and/or programming languages is an asset
• Plan and manage project deliverables, schedule, and resources
• Hands-on experience with fuel cell test bed and/or design is an asset
• Attention to detail with excellent written and oral communication skills

We offer:

• A young and very dynamic team, working in a very professional, international environment
• Continuous professional and personal development programs
• Medical insurance

If you are interested in this position, please use our online application tool to send your application to AVL!

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In this role, you will have the opportunity to work with advanced tools such as SystemWeaver, DOORS, and Elektra, and you will be able to analyze functions using MATLAB/Simulink. You will also participate in verification and validation activities, and you will ensure that development processes follow quality frameworks such as Automotive SPICE and CMMI.

As a Functional Safety Engineer at AVL, you will be part of a global team that is dedicated to providing innovative solutions for the automotive industry. You will have the opportunity to work on exciting projects, and you will be able to contribute to the development of new technologies and products.

We are looking for a highly motivated and experienced individual who has a strong background in functional safety and automotive engineering. You should have a solid understanding of ISO 26262 and experience with tools such as SystemWeaver, DOORS, and Elektra. You should also be proficient in MATLAB/Simulink and have experience with verification and validation activities.

If you are a motivated and experienced individual who is passionate about functional safety and automotive engineering, we encourage you to apply for this exciting opportunity.

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Your profile should include a relevant technical education, such as electrical engineering, information and computer engineering, or technical physics. You should have experience in coordinating mechatronic projects, preferably in the field of measurement technology and vehicle diagnosis. You should be highly enthusiastic about innovative technologies and product development, as well as able to lead teams confidently and motivatingly.

In this role, you will have a lot of room for creativity and innovation in a dynamic company. You will work in a flat hierarchy with short decision-making processes and a motivated team with an open and appreciative corporate culture. You will also have flexible working hours with home office options and modern working equipment.

If you are looking for a challenging role with plenty of opportunities for growth and development, we look forward to receiving your application.

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Key responsibilities include:

• Translating business requirements into clear product or functional specifications
• Collaborating effectively with cross-functional stakeholders and ensuring technical alignment across teams
• Providing foundational cloud architecture expertise across major platforms (AWS, Azure)
• Guiding architectural decisions with strong analytical, problem-solving, and risk-management skills

The ideal candidate will have:

• 2-4 years of experience in Business Engineering, Product Management, or a similar role
• Experience with digital product development and/or cloud- and web-based applications
• Good understanding of agile software development lifecycles
• Solid understanding of ASPICE standards and the V-Cycle development process
• Strong analytical and conceptual thinking skills
• Experience with system engineering, architecture decision frameworks, and modeling methods
• Ability to communicate effectively in written and spoken English

In return, MHP offers a dynamic and supportive environment where you can continuously grow with your projects and objectives. You will be part of a strong team spirit, welcomed with curiosity, creativity, and unconventional thinking patterns. MHP values diversity and recognizes the importance of healthy, tight-knit communities and sustainable environmental changes.

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To succeed in this role, you will need a diploma or bachelor's degree in mechanical engineering, electrical engineering, instrumentation engineering, or a related field. You should have at least 3 years of experience in the relevant field and be able to work under high-pressure conditions. Good communication skills in Japanese and English are essential, as well as the ability to work across Japan and overseas.

As an ITS Service Engineer, you will be part of a dynamic team working on exciting projects in the field of mobility technology. You will have the opportunity to develop your skills and expertise, as well as contribute to the success of AVL Japan K.K.

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You will work closely with various departments and use various quality methods such as bonding and surface testing, as well as cubing. You will have the opportunity to gain comprehensive insights into the Porsche working world and contribute to the success of our organization.

The ideal candidate has a degree in mechanical engineering, automotive technology, or a related field, with at least 3 semesters of study experience. You should have technical knowledge and analytical thinking, as well as affinity for structured work and result evaluation. Proficiency in MS Office and excellent German language skills are required.

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Your tasks will include:

• In-depth planning and monitoring of projects
• Supporting the entire team, from logistics to department leadership
• Participating in quality control and inspection
• Organising customer visits

Our Praktikum programme offers a unique insight into the world of bespoke vehicle production, with opportunities to develop your skills and knowledge in a dynamic and innovative environment.

We are looking for students with a strong interest in engineering, project management, or a related field, who are eager to learn and take on new challenges. If you have a passion for classic cars and a desire to work with a leading manufacturer, we encourage you to apply.

The Praktikum will run for six months, with the possibility of extension. You will receive a competitive stipend and access to our state-of-the-art facilities and equipment.

If you are interested in joining our team and gaining valuable experience in the automotive industry, please submit your application, including your CV and a cover letter. We look forward to hearing from you!

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Our team is responsible for the development of the air-conditioning system, which includes the design and testing of its components. We work closely with our engineers to ensure that the system meets our quality and performance standards.

The successful candidate will have a strong background in mechanical engineering or a related field, with experience in designing and testing complex systems. They will also have excellent communication and teamwork skills, as well as the ability to work in a fast-paced environment.

In this role, you will have the opportunity to work on a wide range of projects, from concept to production. You will also have access to state-of-the-art equipment and technology, as well as training and development opportunities to help you grow in your career.

If you are a motivated and talented individual who is looking for a challenging and rewarding role, we encourage you to apply.

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Some of the tasks you will be involved in include:

• Participating in the daily work of our planning engineers to gain insights into production processes
• Working on lean production topics in the areas of series management and time management
• Developing and implementing measures to increase productivity, including presenting the results
• Supporting the installation of new equipment and technology
• Collaborating with other departments, such as assembly, paint shop, body shop, and axle assembly

To be successful in this role, you should have a strong interest in production and manufacturing processes, as well as excellent communication and teamwork skills.

The internship will last for six months and will provide you with a comprehensive insight into the world of production at Porsche Leipzig.

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During your internship, you will gain hands-on experience in the Porsche working world and contribute to various projects and tasks, including:

• Implementing new logistics concepts
• Participating in the integration of a driverless transport system
• Supporting cloud transformation projects
• Optimising processes, including sustainability in logistics
• Preparing reports and maintaining documentation

To be eligible for this internship, you should have completed at least three semesters of study in a relevant field, such as logistics or production engineering. You should also have a good understanding of MS Office and experience with SAP, Celonis, or Power BI is desirable.

As a member of our team, you will have the opportunity to work on exciting projects and develop your skills in a dynamic and innovative environment. We offer a competitive salary and a range of benefits, including a comprehensive training program and opportunities for professional development.

If you are interested in this internship opportunity, please submit your application, including your CV, cover letter, and any relevant certificates or references. We look forward to hearing from you!

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Your focus areas will include:

• Development and testing of components and drivetrains

• Planning and preparation of test stand and vehicle tests

• Conducting tests and evaluating results, including analysis of measurement data

• Working on tasks in CAD

The internship will start in March/April or September/October and last for 4-6 months.

We offer:

• A glimpse into the development of complex hybrid drivetrains and their validation

• Application and expansion of knowledge gained during studies on fascinating technical systems

• A modern working environment

• Digital learning and working tools

• Mobile learning and flexible working hours after coordination with the team

• An active internship community

To be successful in this role, you should have:

• A degree in engineering with a focus on mechanical engineering, vehicle technology, mechatronics, or a comparable field (at least in the third semester or gap year between bachelor and master)

• Knowledge of test conduction and data evaluation is helpful

• Basic knowledge of drive and vehicle is beneficial

• Basic knowledge of CAD is helpful

• Team and communication skills

• Independent and structured work style, flexibility

• Secure handling of MS Office

• Very good German and good English language skills (at least B2 level)

If you have any questions, please feel free to contact us. We look forward to hearing from you!

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To be successful in this role, you should have a strong background in vehicle technology, mechanical engineering, mechatronics, electrical engineering, or a related field. You should also have basic knowledge of system modeling, control engineering, or signal processing. Analytical, structured, and independent work habits are essential, as well as an interest in technical and scientific questions. Additionally, you should have experience with model building and system analysis, as well as knowledge of regulation and observer theory (foundations).

As a part-time student assistant, you will work approximately 20 hours per week during the semester. You will be integrated into our team and contribute to the development of innovative solutions. We offer a dynamic and supportive work environment, with opportunities for professional growth and development.

If you are a motivated and detail-oriented individual with a passion for technical work, we encourage you to apply for this exciting opportunity.

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Key Responsibilities:

• Lead the productization of automotive test-related products, focusing on intelligent test solutions
• Define product positioning, value propositions, and functional requirements
• Conduct market and user research to deeply understand the pain points of the testing domain and the needs of technical teams
• Collaborate with engineering, sales, finance, strategy, and customer teams to promote the landing testing solution product
• Manage product costs, pricing strategies, and profit goals
• Optimize the cost structure and balance product competitiveness and profitability
• Establish and improve product standards and operation processes
• Ensure product stability and scalability
• Drive product promotion and publicity initiatives
• Collaborate with marketing and sales teams to develop promotion strategies
• Build product branding in the automotive testing industry
• Track industry trends and technological advancements
• Continuously optimize product functions and user experience

Requirements:

• Bachelor's degree or above in electrical engineering, mechatronics, vehicle engineering, computer science, robotics, or a related field
• In-depth understanding of the automotive testing industry, familiar with ADAS, Infotainment, Connected Car, vehicle integration domains, and proficiency in the core logic of CLCD, automation, AI toolchain, test & data platforms, or robot automation
• Proven experience in productizing technical services or solutions into scalable and commercial products
• Strong strategic thinking and business acumen, able to accurately grasp the market demand and value of testing products
• Excellent communication and coordination skills, able to drive cross-departmental collaboration
• Proficient in product planning, requirement analysis, and roadmap formulation, with the ability to promote product iteration and landing with Agile/Scrum methodologies
• Familiar with productization logic of technical services, able to translate technical capabilities into marketable products
• Strong self-driven to work efficiently and lead project team for issue solving and continuous improvement
• Engineering mindset with critical thinking and hands-on capability
• Proficiency in English (written and spoken) is mandatory, German is a plus
• Willingness to travel

Benefits:

• Competitive salary and benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment
• Recognition and rewards for outstanding performance

How to Apply: If you are a motivated and experienced product manager looking for a new challenge, please submit your application, including your resume and cover letter, to [jobs@porsche-engineering.cn](mailto:jobs@porsche-engineering.cn).

Please note that only applications submitted through the official Porsche Engineering website will be considered.

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The main task is to analyse and manage the events occurring throughout the Complete Vehicle testing activities, such as the corresponding validations, assessments, updates and analyses of the vehicles. This also includes documentation and communication of anomalies, complaints, findings, analysis results and performed activities.

Key responsibilities include: Creation of documents, reports, error analyses and its process documentation for Complete Vehicle testing Operational coordination and performance of complaint management in an interfacing function to the cross-departmental stakeholders at PAG and PEG Monitor vehicle quality by analysing development maturity level based on various sensors, including repetitive failures/findings reported by market-specific drivers Analysis of traces and fault memories (consolidated measurement data) with Porsche's proprietary testing systems and software in cooperation with PAG and PEG Departments Perform root cause analysis utilizing tools and software, such as Vector CANape, Vector CANoe, ETAS Measure Data Analyzer and other data acquisition means Plausibility check of the results of the measurement data analysis from the vehicle and implementation of validation tests Collaborate with PAG and PEG Departments responsible for Complete Vehicle Quality and Engineering to facilitate and expedite countermeasure development and validation Provide guidance and direction for technical personnel at Complete Vehicle Verification and Validation

The ideal candidate will have a Bachelor's degree in a relative field and proficient knowledge of complete vehicle systems and automotive technologies. Experience with Porsche's proprietary testing systems and methodologies is a plus. The salary range for this role is $31.00 to $38.00 per hour.

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To succeed in this role, you will need to have completed a degree or comparable education, plus at least 4–5 years of experience in Cyber Security, with a focus on SOC, SIEM, or Detection Engineering. You should have experience with common security technologies, such as SIEM, XDR, EDR, and vulnerability management tools, as well as a solid understanding of incident response processes. Ideally, you will have experience with Microsoft Sentinel, Microsoft Defender, CrowdStrike, or Palo Alto Cortex SOAR.

As a Cyber Security Specialist at MHP, you will be part of a dynamic team that values diversity, creativity, and unconventional thinking patterns. You will have the opportunity to grow with your projects and objectives in an innovative and supportive environment. MHP offers a competitive salary and benefits package, as well as opportunities for professional development and career growth.

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The ideal candidate will have a strong background in industrial engineering, production planning, or a related field, with at least five years of experience in the industry or in management consulting. You will have a proven track record of delivering cost savings and process improvements, and excellent analytical and communication skills.

We offer a competitive salary and benefits package, including a generous pension scheme, flexible working hours, and opportunities for professional development and growth. If you are a motivated and experienced professional looking for a new challenge, please submit your application.

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Gather, analyse, and document business requirements for Salesforce Automotive Cloud solutions supporting dealer, sales, and customer lifecycle processes.

Translate business needs into clear functional specifications, user stories, and acceptance criteria.

Collaborate with developers, architects, and product owners to design scalable Automotive Cloud solutions.

Analyse and optimise business processes related to vehicle sales, dealer management, and customer engagement.

Support testing activities, including functional testing and User Acceptance Testing (UAT) coordination.

Contribute to Salesforce configuration activities, including Flows and process automation.

Support data analysis, reporting requirements, and customer and vehicle data management within Salesforce.

Maintain clear documentation of requirements, processes, and implemented solutions.

Qualifications

Must-haves

Proven experience as a Salesforce Business Analyst in CRM or digital transformation projects.

Strong experience in requirements engineering, including requirements gathering, documentation, and analysis.

Hands-on experience with Salesforce configuration, including objects, fields, validation rules, and basic administration.

Experience building and maintaining Salesforce Flows for business process automation.

Knowledge of Salesforce Automotive Cloud or strong experience with Sales Cloud and/or Service Cloud.

Experience translating business requirements into user stories and functional specifications.

Experience working in Agile environments (preferably SAFe).

Strong stakeholder management and workshop facilitation skills.

Experience supporting testing activities, including functional testing and UAT processes.

Good understanding of CRM data models and customer lifecycle management processes.

Nice-to-haves

Salesforce certifications (e.g., Salesforce Business Analyst, Salesforce Administrator, Sales Cloud or Service Cloud Consultant).

Experience with Automotive Cloud data models, including vehicle, driver, dealer, and service lifecycle objects.

Familiarity with Salesforce integrations and APIs.

Experience in the automotive industry or within OEM/dealer network environments.

Benefits

• Full-time position with 40 hours of work per week.
• 27 vacation days.
• Unlimited employment contract.
• Flexible working hours.
• Opportunity to work in a dynamic and innovative environment.

How to Apply

If you are interested in this opportunity, please submit your application through our website.

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Your responsibilities will include:

• Providing strategic advice to top-management of our clients in the areas of product strategy and modularisation
• Leading and managing transformation programs to optimise product and portfolio strategies
• Evaluating and developing portfolio strategies using modern product-mining methods
• Identifying commercial and technical optimisation opportunities in product and variant portfolios
• Designing modular hard- and software architectures based on systems-engineering approaches
• Developing business cases considering total cost of complexity and scale effects to support capital allocation and sourcing decisions
• Active participation in the development of internal methods and knowledge assets, including software-defined products, digital twins, and AI-based engineering approaches
• Supporting project acquisition and acting as a liaison between the cost and value engineering and portfolio management teams

To be successful in this role, you will need to have:

• A successful university degree, preferably in a technical field such as engineering or economics
• At least five years of experience in industry (OEM, Tier-1) and/or consulting, with a clear focus on product management, industrial engineering, production planning, industrialisation, or procurement
• Proven expertise in modular product design, portfolio analysis, and the transfer of insights into actionable measures
• A deep understanding of process-related cost structures along the entire value chain (activity-based costing)
• Strong analytical skills, a structured approach, and the ability to drive topics independently and represent them confidently in client environments
• Excellent communication and moderation skills, including secure interaction with suppliers and other stakeholders
• A strong network in the industry, particularly to support acquisition activities
• Very good proficiency in German and English, as well as high travel readiness within Germany and abroad

We offer a competitive salary and benefits package, including:

• A comprehensive pension scheme
• Flexible working models, including mobile work, flexible working hours, and sabbaticals
• Support for work-life balance, including childcare, holiday programs, parent networks, and a family service
• A wide range of health promotion initiatives, including check-ups, vaccinations, ergonomic advice, digital tools, and comprehensive support from our occupational health management
• Attractive conditions for purchasing and leasing vehicles, including exclusive treasurero leasing for long-term employees and discounts on vehicles from Porsche, Volkswagen, Audi, and Ducati
• A diverse and inclusive work environment
• Opportunities for professional development and growth
• A dynamic and supportive team environment

If you are a motivated and experienced professional looking for a new challenge, please submit your application, including your resume and a cover letter, to [career@porsche-consulting.com](mailto:career@porsche-consulting.com). We look forward to hearing from you!

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Your tasks will include:

• Leading a team of data scientists, AI engineers, and computer vision specialists in a technical and disciplinary manner
• Managing AI, computer vision, and physical AI projects and being responsible for their successful implementation - from use case to productive deployment
• Steering the operational project deployment of your team and ensuring high utilization and delivery quality
• Supporting architectural decisions and ensuring compliance with technical standards (AI engineering, MLOps, vision pipelines)
• Actively participating in presales, developing demos, and supporting technical solution designs
• Developing your team technically and disciplinarily and building targeted competences in the areas of ML and physical AI

To be successful in this role, you will need to have a strong background in data science, AI engineering, or machine learning, as well as leadership experience. You should also have a passion for implementing AI projects and a good understanding of technical solution designs.

In addition to your technical expertise, you should have excellent communication and leadership skills, as well as the ability to work in a fast-paced environment.

We offer a competitive salary and a range of benefits, including flexible working hours, a generous holiday allowance, and opportunities for professional development.

If you are interested in this opportunity, please submit your application, including your resume and cover letter, through our online portal.

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This role is pivotal in setting direction, orchestrating planning, and providing decisive administrative leadership for daily operations.

As a leader, the manager oversees both operational and analytical database platforms,including data warehouses, data marts, and data lakes,and ensures robust management of platforms supporting APIs, service buses, and messaging systems.

The role demands proactive collaboration with decision-makers across the organization to champion, develop, and implement cost-effective technology solutions and services.

Leadership extends to defining and enforcing IT and Data Platform Services strategies, standards, policies, procedures, and best practices, ensuring the unit’s services and applications are aligned with organizational goals.

The manager represents the unit in key meetings and workshops, often traveling domestically and internationally to foster global initiatives and cross-regional collaboration.

A core aspect of this leadership role is preparing and delivering impactful presentations on strategy, roadmap, and QCD (Quality, Cost, Delivery) performance to stakeholders at all levels.

The manager is deeply committed to coaching and mentoring team members, cultivating a culture of engagement, and driving improvements in people engagement scores throughout the unit.

Key accountabilities include collaborating with the Department Manager to shape the direction of the Global Digital Unit/AHM IT, Division, and Department; developing and presenting strategies, roadmaps, and QCD performance to stakeholders; developing and sustaining high-performing IT teams; meeting annually approved project goals for the Enterprise Platform Services Unit; and ensuring unit operations meet platform and service availability targets, comply with governance standards, and stay updated on tools to manage risks and maintain performance.

Qualifications, experience, and skills required include a Bachelor’s Degree in Information Science and/or equivalent work experience, 12+ years of IT business work experience, prior experience in Database Administration or Data Architecture or Data Engineering, and 3+ years leadership experience.

Additional skills include professional writing skills, experience in management-level presentations, experience in developing and managing a budget, and experience in managing vendors.

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Responsibilities:

• Draft engineering solutions for an assigned component or simple part (or more complex parts with supervision) and create the associated 3D layouts and data and 2D drawings using CATIA
• Correlate internal contacts (i.e., testing and design departments, purchasing, suppliers, styling, manufacturing, service)
• Calculate Cost and weight estimates of assigned part 10%
• Work with existing suppliers to coordinate requirements, schedule activities, and address issues in a timely manner
• Prepare moderately complex documentation for review by more senior engineers 10%
• Work within an established project management plan to achieve specific goals

Qualifications:

• Bachelor of Science in Mechanical Engineering or equivalent relevant experience
• 0-2 years relevant experience - co-op/internship preferred
• Familiarity with 3D CAD software, Effective verbal and written communication

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You will also be responsible for integrating, consolidating and comparing existing analysis and monitoring solutions, building dashboards and reports to provide transparent insights into usage and maturity.

Our team is responsible for the electrical/electronic scope for general vehicle and steering gear diagnosis, OTA enablers, and overall vehicle bedding in all our sports cars. In short, we are the technological foundation for the electronics of every Porsche vehicle.

As a member of our team, you will have the opportunity to work on exciting projects and contribute to the development of our diagnostic technologies.

We offer a dynamic and supportive work environment, with opportunities for professional growth and development. Our team is passionate about innovation and excellence, and we are committed to delivering high-quality results.

If you are a motivated and talented individual who is passionate about diagnostic technologies, we encourage you to apply for this释 opportunity.

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We invest in our employees through a complete employee benefits package, including competitive salaries, pension contributions, life assurance, private health care, eye care assistance, cycle to work schemes, refer a friend schemes, reward and recognition incentives, flexible working, and more.

Our culture is built on collaboration, creativity, and initiative, empowering employees to make meaningful contributions to our future. We prioritize growth and development, offering opportunities for skill enhancement and career advancement. We also value diversity and inclusivity, recognizing the strength that comes from different perspectives and backgrounds.

At Xtrac, we believe that every day is a chance to learn and grow. We provide opportunities for employees to learn new skills and further their careers through innovative and world-leading work. Our employees are empowered to succeed and develop in an environment that values individual success.

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Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of “power” that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize “the joy and freedom of mobility” by developing new technologies and an innovative approach to achieve a “zero environmental footprint.”

We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team.

If your goals and values align with Honda’s, we want you to join our team to Bring the Future!

Job Purpose

As an Infotainment UX Engineer you will conduct and utilize existing research to define and develop Infotainment solutions, features, and designs that satisfy customer needs and maintain competitiveness with the utmost quality.

Key Accountabilities

Research and report the user experience of current and future products, both in automotive and consumer electronics space.

Analyze user research data to understand customers; needs and desires for infotainment systems (displays, information, interface, entertainment, features, controls, etc).

Identify critical requirements for infotainment system components to match customer demands.

Correlate and propose modifications to and/or new Infotainment solutions within assigned area of responsibility. Write clear and concise reports, presentations and/or technical documents to present solutions.

Conduct and oversee the creation of features and user interface specifications

Verify the correct implementation of specifications within assigned area of responsibility on test setups and vehicles

Mentor newer associates in best practices

Qualifications, Experience, and Skills

Minimum Educational Qualifications: A Bachelor’s level degree / diploma in Human Factors / HCI / Industrial Design / UX Design; Engineering / Psychology / Product Development / Anthropology, or equivalent relevant experience in the industry.

Minimum Experience: At least 3 or more years of demonstrable experience in a similar role, in the industry.

Other Job-Specific Skills: Experience conducting user-centered research in educational and/or professional environment. Product Benchmarking. Demonsntrable experience with GUI prototyping preferred any of these, e.g. - Figma, Protopie, Axure, Kanzi, etc. Excellent communication skills and ability to produce presentation documents.

Workstyle

This is an onsite job. One telecommuting day per workweek may be possible, with prior departmental approval.

What differentiates Honda and make us an employer of choice?

Total Rewards:

Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) Paid Overtime Regional Bonus (when applicable) Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) Paid time off, including vacation, holidays, shutdown Company Paid Short-Term and Long-Term Disability 401K Plan with company match + additional contribution Relocation assistance (if eligible)

Career Growth:

Advancement Opportunities Career Mobility Education Reimbursement for Continued Learning Training and Development programs

Additional Offerings:

Tuition Assistance & Student Loan Repayment Lifestyle Account Childcare Reimbursement Account Elder Care Support Wellbeing Program Community Service and Engagement Programs Product Programs

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You will thrive in a fast-paced environment, embracing evolving tasks and priorities. You will lead the charge in ensuring the safety of Honda Aircraft products by applying systems engineering principles to identify and eliminate hazards, reducing associated risks throughout their lifecycle.

Key responsibilities include:

• Performing system safety analyses, including Functional Hazard Analysis (FHA), Preliminary System Safety Assessments (PSSA), System Safety Assessments (SSA), and Common Cause Analysis (CCA).
• Collaborating with design, reliability, and certification teams to ensure safety requirements are met.
• Participating in design reviews, providing critical safety-related input.
• Utilizing innovative approaches to solve complex and challenging problems.
• Contributing to the continuous improvement of safety processes and tools.
• Taking personal responsibility for your continued professional growth and development, with full support from your manager.

To succeed in this role, you will need:

• A Bachelor's degree in aerospace engineering, Systems Engineering, or a related field.
• 1+ years of experience in system safety engineering, preferably in the aerospace industry.
• Familiarity with safety standards such as ARP4761, ARP4754A, DO-178C, and DO-254.
• Experience with safety analysis tools (e.g., Fault Tree+, CAFTA, or similar).
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.

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Key responsibilities include:

Developing basic component and system layouts for ATV/SxS prototype vehicles that achieve concept targets, function requirements, and manufacturing requisites with minimal supervision.

Setting basic performance targets to satisfy vehicle concept and competitiveness.

Performing validations of specification targets, requirements, components, and complete vehicles through application of engineering principles, simulations, and physical testing with minimal supervision.

Maintaining accurate technical, development, and administrative documentation as required.

Creating and managing schedules of individual work to ensure deadlines are met, communicating resource needs with supervisor, and effectively utilizing contractor resources with minimal supervision.

Generating basic ideas that contribute to the evolution of new technologies.

Supporting market quality themes.

Utilizing problem-solving methods to investigate root causes.

Advancing and implementing countermeasure specs as necessary.

The ideal candidate will have a Bachelor's degree in Mechanical Engineering, experience with data acquisition, hands-on experience maintaining and repairing vehicles, and experience riding Power Sports products.

Additionally, the candidate should have experience in the Power Sports industry, capable data acquisition and laboratory skills, analytical, problem-solving, judgement, decision-making, and prioritization skills, and competent written and oral communication skills.

The working conditions include up to 10% travel, primarily working at a desk, some work in a lab and/or test vehicle, frequent keyboarding, kneeling, standing, reaching, squatting, bending, pushing, and lifting.

Overtime is expected based on project demands and responsibilities.

The total rewards include competitive base salary, paid overtime, regional bonus, industry-leading benefit plans, paid time off, company-paid short-term and long-term disability, 401K plan with company match, and relocation assistance.

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We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team.

If your goals and values align with Honda's, we want you to join our team to Bring the Future!

Job Purpose Mechanical and Project Engineer with capabilities to implement and communicate an operational plan for completing a project, monitor progress and performance against the project plan; resolve operational problems, minimize delays, identify, develop and gather necessary resources to complete the project. Design Mechanical systems, develop schedules, budget and forecasts, select materials, equipment, project staff and contractors. Estimate costs, resources and time required to complete. Direct site building control related activities, through team members and contractors, to meet site needs (e.g. controls upgrade and replacements, programming optimization, standardization, and operations enhancements). Ensures controls architecture consistency between sites. Analyzes technology trends.

Key Accountabilities

• Create scope documents based on unit/department project requirements. Manage and/or support the bidding, evaluation, and selection process of contractors for the design and construction of Facilities and department led projects. Create project budgets and ensure accuracy in company investment prioritization worksheets. Supervise engineers and on-site contractors. Generate project tracking documentation. Determine and prioritize project tasks and develop project schedule and timelines in order to achieve project's final goals on time and within budget.
• Support operation of Facilities mechanical systems including but not limited to centrifugal fans, burners, cooling/heating coils, pumps, centrifugal air compressors, centrifugal chillers, heat exchangers. Manage and maintain documentation for the site Mechanical Systems. Communicate critical updates to site system operators.
• Manage FAC BAS/BMS (Building Automation System/Building Management Systems) specification, design, and operation. Create the planning documents for the periodic budgeting and approval events. Direct and collaborate with the site representatives to ensure consistency and optimal system performance. Present updates and core functionality to site leaders. Manage periodic updates and maintenance of system. Manage submission of yearly planning requirement documentation. Create roles and responsibility documents for quick reference and management of change.
• Support FAC Operations with mechanical/electrical equipment design and specification. Apply analytical and trouble shooting skills to minimize mean time to recovery.
• Train FAC Associates on enhancements to operations related to controls and mechanical/electrical systems. Provide support on an as-needed basis. Ensure reference documentation is available and easily accessed.

Qualifications, Experience, and Skills

• Bachelor’s Degree in Mechanical Engineering or Engineering Technology or equivalent combination of education and/or engineering experience
• 3-6 years of experience developing, coordinating and managing mechanical and/or facility related projects
• Intermediate experience with control systems architecture and programming (e.g., EBO/Andover, Tridium, Siemens, Honeywell)

_Other Job-Specific Skills_

• Strong subject matter knowledge of industrial mechanical systems from concept through final design and implementation as well as troubleshooting and repair. Peripheral knowledge of electrical and structural systems related to a manufacturing facility.
• Effective communication and presentation skills, customer focus (building productive relationships), Microsoft office (Word, Excel, PowerPoint) and AutoCAD capabilities.
• Effectively communicate ideas to gain consensus from individuals or teams; demonstrate technical proficiency with expertise on some of the topics within area of expertise; balance multiple projects simultaneously; comprehend technical drawings and specifications; plan and execute special projects and reporting; work well in a collaborative environment.
• Ability to balance the wants/needs of the customer department with facilities equipment service team requirements. Knowledge of Honda project flow, budgeting and cost reporting. Project tracking and reporting for PDCA and Nariyuki development.

Job Dimensions Decisions Expected Working Conditions

• Office and industrial environment.
• Ability to work overtime as needed to complete tasks and meet deadlines.
• Work all appropriate weekends/shutdowns to manage projects and cover production needs.

What differentiates Honda and make us an employer of choice? Total Rewards:

• Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.)
• Paid Overtime
• Regional Bonus (when applicable)
• Industry-leading Benefit Plans (Medical, Dental, Vision, Rx)
• Paid time off, including vacation, holidays, shutdown
• Company Paid Short-Term and Long-Term Disability
• 401K Plan with company match + additional contribution
• Relocation assistance (if eligible)

Career Growth:

• Advancement Opportunities
• Career Mobility
• Education Reimbursement for Continued Learning
• Training and Development programs

Additional Offerings:

• Tuition Assistance & Student Loan Repayment
• Lifestyle Account
• Childcare Reimbursement Account
• Elder Care Support
• Wellbeing Program
• Community Service and Engagement Programs
• Product Programs

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Honda has a clear vision for the future, and it’s a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of “power” that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize “the joy and freedom of mobility” by developing new technologies and an innovative approach to achieve a “zero environmental footprint.”

We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team.

If your goals and values align with Honda’s, we want you to join our team to Bring the Future!

Job Purpose

As member of Advanced Safety Controls (ASC) Division, your role would support the advancement and integration of driving assistance and vehicle dynamics control technologies working towards the future of electrification and advanced safety in Honda and Acura products. VCAP ADAS test engineers take ownership of developing a function or feature on the vehicle to suit the North American light duty market customer. You would work under the leadership and guidance of senior members in the group to build your knowledge and technical skills with autonomy as you gain experience.

Key Accountabilities

• Verify ADAS control system software function by completing standard requirement testing on simulation bench and in vehicle by proving grounds. Work with Technical Expert and other function PIC’s to countermeasure any issues found.
• Validate ADAS control system software through calibration by completing standard requirement testing on simulation bench and in vehicle by proving grounds. Work with Technical Expert and other function PIC’s to countermeasure any issues found.
• Support with preparation of verification test result documentation for assigned function and clearly present documentation to Section Chief, Technical Expert and Chief Engineer at data verification reviews. Continue to submit all necessary information as the development process moves forward.
• Support with management of one or more functions in vehicle development projects specifically related to ADAS control system specifications, actively maintain schedule and task list including internal, Japan R&D, and other function group schedules to ensure all expected deliverables are complete at each development milestone.
• Correlate with Technical Expert, Section Chief, or experienced PIC to support the integration of software functions into the vehicle, as well as verification of the function
• Develop own expertise and capabilities by participating in assessment and development planning activities as well as formal and informal training and coaching. Gain or maintain external professional accreditations where relevant to improve performance and fulfil personal potential. Build proficiency in relevant technology and increase knowledge of external regulations and industry best practices through ongoing education, conferences, and specialist publications.
• Support with identifying shortcomings in function specifications through market analysis, competitive benchmarking, and other research activities. Suggest solutions to improve the overall product to the customer from these activities.

Qualifications, Experience, and Skills

• Bachelor of Science in Mechanical Engineering, Controls Engineering, Automotive Engineering
• Co-op/intern experience preferred
• Basic understanding of requirements management, function validation, diagnostics, and CAN structures or micro controller communication structures
• Familiarity with control specification development
• Demonstrated analytical skills necessary to troubleshoot control system issues, propose and implement potential solutions.
• Hands on mechanical ability / understanding of vehicle systems and cross functional interactions
• Strong PC Skills (Excel, PowerPoint, Project, and other technical software)
• Experience with data acquisition systems such as ETAS and Vector CAN tools is a plus
• Experience with programming (C++, Python, Java, Matlab, etc) is a plus
• Familiarity with ISO 26262 standard for functional safety
• Some travel domestic and internationally should be expected to visit various proving grounds, visit suppliers’ engineering offices and production locations and support Honda factories during pre-production launch timings.
• Valid driver’s license required to operate vehicles on proving grounds.

What differentiates Honda and make us an employer of choice?

Total Rewards:

• Competitive Base Wages (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.)
• Paid Overtime
• Regional Bonus (when applicable)
• Industry-leading Benefit Plans (Medical, Dental, Vision, Rx)
• Paid time off, including vacation, holidays, shutdown
• Company Paid Short-Term and Long-Term Disability
• 401K Plan with company match + additional contribution

Career Growth:

• Advancement Opportunities
• Career Mobility
• Education Reimbursement for Continued Learning
• Training and Development Programs

Additional Offerings:

• Lifestyle Account
• Childcare Reimbursement Account
• Tuition Assistance & Student Loan Repayment
• Elder Care Support
• Wellbeing Program
• Community Service and Engagement Programs
• Product Programs

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The Co-op/Intern will also have the opportunity to develop planning programs to support floor work, work with Customer Service to assist with model build, and create ways to improve inspection set-up and test/verification plans for software upgrades.

To be successful in this role, you will need to be legally authorized to work in the U.S. without sponsorship, have general engineering coursework, and a minimum 3.0 cumulative GPA or higher. You will also need to be enrolled in a Bachelor's or Master's degree program studying Mechanical Engineering or a related field.

The Co-op/Intern will be paid an hourly wage of $20.45-$23.56, with the possibility of paid overtime and consideration for full-time employment after completing the Co-op/Internship program.

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This role partners closely with Engineering and Production to ensure product producibility, define efficient build processes, develop tooling requirements, and support continuous improvement initiatives across assigned aircraft areas.

Key responsibilities include owning production process definition and implementation, developing and reviewing installation build plans, reviewing and approving engineering drawings and models, identifying and requesting manufacturing tooling, and managing Design for Manufacturability (DFM) requests.

You will also review and approve change requests, assess impacts to production, and coordinate with cross-functional teams. Additionally, you will support shop floor implementation of major engineering and process changes, drive process improvements to improve quality, efficiency, and production performance, and collaborate with suppliers, engineering, and production teams to support manufacturing execution.

As a Design Manufacturing Engineer II, you will have the opportunity to work on complex projects, develop your technical skills, and contribute to the success of Honda's manufacturing operations.

We offer a competitive base salary, paid overtime, regional bonus, industry-leading benefit plans, paid time off, and relocation assistance. We also provide opportunities for career growth, education reimbursement, training and development programs, tuition assistance, student loan repayment, lifestyle account, childcare reimbursement account, elder care support, wellbeing program, community service and engagement programs, and product programs.

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Key responsibilities include:

Developing basic component and system layouts for ATV/SxS prototype vehicles that achieve concept targets, function requirements, and manufacturing requisites with minimal supervision-feedback. Setting basic performance targets to satisfy vehicle concept and competitiveness. Performing validations of specification targets, requirements, components, and complete vehicles through application of engineering principles, simulations, and physical testing with minimal supervision. Creating and managing schedules of individual work to ensure deadlines are met, communicating resource needs with supervisor, and effectively utilizing contractor resources with minimal supervision. Generating basic ideas that contribute to the evolution of new technologies. Supporting market quality themes. Utilizing problem-solving methods to investigate root causes and advance and implement countermeasure specs as necessary.

The ideal candidate will have a Bachelor's degree in Mechanical Engineering and experience with data acquisition, hands-on experience maintaining and repairing vehicles, and experience riding Power Sports products.

You will also have experience preferably in the Power Sports industry, capable data acquisition and laboratory skills, analytical, problem-solving, judgement, decision-making, and prioritization capabilities, competent in written and oral communication, and strong leadership and interpersonal communication skills.

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Key Accountabilities

• Analyze Catia design data and part quality to identify and solve potential problems.
• Evaluate Honda Engineering Standards and design specification applications.
• Work with design and test associates to solve problems and propose design changes.
• Utilize prototype expertise to design tools or parts to improve performance/accuracy.

New Model Team Leader

• Interact with other departments to plan prototype projects and resources.
• Create process manuals and document problems during prototype builds.
• Train team members to build high quality prototype vehicles efficiently.
• Lead a team of associates to build prototype vehicles to design and test specifications.

Welding Prototype Development

• Build or modify prototype metal parts and vehicle body to match design specifications.
• Collaborate with design and test associates to achieve the goals of each project.
• Create, modify, and execute spot welding robot programs with servo gun.
• Assemble weld fixtures and adjust tooling accuracy with 3D measurement equipment.

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Honda has a clear vision for the future, and it’s a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of “power” that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize “the joy and freedom of mobility” by developing new technologies and an innovative approach to achieve a “zero environmental footprint.”

Job Purpose

This New Model Process Standards specialist will support New Model (NM) development project teams by standardizing new methods, tools, and business processes to create harmonious workflow across multiple Business Units/Centres in all NA organizations and GO operations.

Key Accountabilities

• Lead HDMA cross functional teams and work with other Subject Matter Experts to develop a new Standards, methods, new process, rules and policies to execute New Model development activities.
• PDCA and revisit existing methods, process, rules and policies to improve the efficiency and fit the latest requirements. Share information and promote new process/standards to appropriate business partners within North America.
• Maintain evaluation report items and judgment sheets.
• Lead and Manage NA Design Change Committee facilitation. Organize meeting set up and coordination of executive’s schedules, tracking, execution of the evaluation and archive official documents/comments, including analysis for periodical Business Plan reports.
• Follow up on RPC items with each function PICs until those items are closed.
• Manage activity and lead coordination for all PL Strengthening sessions (twice/year for each category) working with training group within the unit, summarize results, work with each category lead to set meaningful agenda topics. Attend the sessions for smooth execution.
• Maintain all Standards and historical archiving of NM SharePoint site documents and NM evaluation/comment archiving.
• Maintain access groups accuracy working with SME within the unit.
• Collaborate with management teams & process/system counterparts in Japan GO to ensure alignment for specific NM topics including parts ordering flows, cost request, NM evaluations and so on
• Support NM In-House cost request for all projects with global IH parts supply and Global North America cost calculation request to support other region evaluations for models with NA IH parts application.

Qualifications, Experience, and Skills

• Minimum Educational Qualifications: A Bachelor’s level degree in a technical field or business/finance, or an equivalent combination of education and relevant industry experience.
• Minimum Experience: At least 8 or more years of experience, of which 5 years should be working in New MOdel (NM) process or NM development, preferably in the automotive sector
• Other Job-Specific Skills: Understanding of new model development flows and processes. Process re-engineering & design. Unit Cost and Financial acumen. Ability to build a diverse network, build consensus, and lead a multi-site team. Excellent written and verbal communication skills and ability to work effectively across multiple organizations at all levels of executive management are essential for this role.

Workstyle

This position will require the employee to work onsite at our ADC, Raymond, OH facility at least 4 days per workweek. One remote workday a week may be possible, with prior departmental approval.

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Leads development activities for assigned group and projects for Honda Racing Corporation. Responsible for the progress of assigned area, reviewing both project targets as well as resource planning and coordination. Directs other development associates both technically as well as functionally.

Key Accountabilities

Development Project Lead

Leads assigned development projects end-to-end, from concept through completion. Owns planning, coordination, data analysis, reporting, and technical judgment. Collaborates cross-functionally (design, simulation, production, program management), takes ownership of issues and hardware failures, and drives root cause analysis and countermeasures to meet targets and timing.

Technical Lead

Owns technical decision-making within a defined area of expertise. Sets and maintains technical direction to meet or exceed project targets, and guides engineers on problem investigation and performance development.

Project & Testing Communication

Provides clear, regular communication on project and testing status. Presents results and plans at each development stage, authors technical reports and summaries, develops manuals and procedures, and maintains project databases.

Development Group Leader

Leads a focused subgroup within the development organization. Manages workload and task assignments, supports performance planning and training, and ensures group objectives are achieved.

Qualifications, Experience, and Skills

• Bachelor’s degree in Mechanical Engineering or a related field, or equivalent practical experience, with emphasis on internal combustion engines and/or electrified powertrains. Relevant coursework includes thermodynamics and fluid dynamics.
• Minimum of 9 years of experience in powertrain development and testing, including product planning, validation, and test cycle development.
• Strong engineering fundamentals in control systems, thermodynamics, fluid dynamics, statics and dynamics, and internal combustion engine principles.
• Experience with powertrain and/or chassis dynamometer testing, data acquisition systems, test instrumentation, and data logging hardware/software is preferred.
• Proven ability to clearly present technical ideas, data, analyses, and conclusions to a broad range of audiences, both verbally and in written form.
• Demonstrated experience authoring technical reports and development documentation.
• Prior project management experience, including use of tools such as Microsoft Project.
• Excellent verbal and written communication skills in a technical environment.
• Strong teamwork and collaboration skills, with the ability to work effectively under minimal supervision.
• Self-directed, detail-oriented professional capable of managing multiple priorities and performing well under pressure in a culturally diverse environment.

Decisions Expected

• Define the direction and process for development of assigned projects.
• Determine route cause and solution for problems and failures within assigned area and projects.
• Decide priority for group tasks and manage based on workload

Working Conditions

Physical Demands Requirements:

• Bending body downward and forward by bending spine at the waist while working.
• Bending legs at knee to come to a rest on knee or knees to work on close to the groundwork.
• Crawling.
• Moving about on hands and knees or hands and feet to work underneath suspended vehicles/engines/equipment to diagnosis problems and or remove replace parts.
• Standing for sustained periods during work or events.
• Sitting. Extensive travel and long travels.
• Walking. Moving about on foot to accomplish tasks (particularly walking long distances at the track to pit lane and around shop)
• Lifting. Raising objects of 25 pounds from a lower to a higher position or moving objects horizontally from position-to-position.
• Repetitive motion. Substantial movements (motions) of the wrists, hands, and/or fingers while servicing / maintaining a race engine, vehicles and equipment.
• The worker is subject to hazards. Includes a variety of physical conditions, such as proximity to moving mechanical parts, moving vehicles, electrical current, exposure to high heat and exposure to chemicals.

Emotional Requirements:

• Make quick decisions
• Hazard awareness, aware of surroundings
• Planning and problem-solving
• Coping with change and other people

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The Flight Test Telemetry Technologist is responsible for maintaining Telemetry link between Flight test article and TM ground station.

Key Accountabilities

1. Plans, documents aircraft Flight test telemetry frequencies licenses for the Honda.
2. Actively participates during Test flights to support TM room and TM Van.
3. Review, process and Store Flight test data after each flight.
4. Support pre and post Flight briefings.
5. Assists Data FTE in data reduction as required
6. Prepare IAD's screens to support Aircraft and TM room.
7. Maintain TM room and TM Van equipment.
8. Support Off-site flight test as required. Approx. travel requirements 50%
9. Troubleshoot and repair TM related connections as required including TM tower.

Qualifications, Experience, and Skills

1. Associate degree or Technical Diploma in Electronics.
2. 5+ years Previous experience direct related work experience
3. Previous Flight Test experience is preferred.

Working Conditions

1. Incumbents may be routinely exposed to equipment operational noise heat-cold-dust, and/or aircraft equipment, parts, or fuel odors.
2. Incumbents may be required to stand, sit, squat, walk, bend, climb ladders, move, reach, or stretch for prolonged time periods with no restrictions, as required by job duties.
3. Work in a safe and professional manner while adhering to all regulatory requirements (FAA, OSHA, DOT, EPA, State, and Federal regulations, etc.).
4. Read, hear, speak, and see with no restrictions, as required by job duties.
5. Comprehend and adhere to management directions and/or safety instructions with no restrictions.
6. Effectively communicate in Business English language.
7. Pull, push, carry, lift, or move items up to 10 lbs. throughout the work shift without assistance, as required by job duties.
8. Pull, push, carry, lift or move materials/people/items/equipment weighing up to 50lbs or more during the work shift, with the use of Company provided 'reach assistance technology' or 'movement assist technology' (fork-lifts, pallet jacks, pulleys, dolly's, robotics reach equipment, people movers etc.), as required by job duties.

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Your responsibilities will include:

• Supporting situation appraisal and analysis of a supplier crisis on a specific part or assembly process
• Implementing immediate corrective action plans at critical suppliers
• Communicating with suppliers and summarizing reviews
• Assisting in reporting for root cause analysis and countermeasure implementation
• Contributing to continuous improvement through cycling Plan Do Check Action (PDCA) for area of responsibility

To succeed in this role, you will need to have a strong sense of urgency and flexibility to respond to critical issues and unplanned risk events. You will also need to be able to travel at moments' notice to confirm supplier situations at the spot (50% time).

In return, we offer a competitive base salary, paid overtime, regional bonus, industry-leading benefit plans, paid time off, company-paid short-term and long-term disability, 401K plan with company match, and relocation assistance (if eligible).

If you're passionate about working in a dynamic and innovative environment, and you're looking for a challenging role that will allow you to grow and develop your skills, then we encourage you to apply for this exciting opportunity.

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Key Accountabilities:

• Develop complex component and system layouts for ATV/SxS prototype vehicles using computer-aided design software that achieve concept targets, function requirements, and manufacturing requisites without supervision.
• Establish or lead others to establish cost targets for responsible parts that contribute to achievement of the vehicle development targets and achieve the cost targets through optimizing difficult part/system designs and offsetting any spec changes after target fix through implementation of additional cost reduction ideas and strategies.
• Create and manage schedule of individual work or other's work to ensure deadlines are met, coordinate resource needs with supervisor, and effectively utilize contractor resources or groups of associates without supervision.
• Set goals for generating advanced ideas and lead the creation of comprehensive strategies that support the evolution of new technologies.
• Support or lead market quality themes without supervision. Utilize problem-solving methods to analyze root causes. Develop and implement C/M specs as necessary without supervision. Lead recurrence prevention when appropriate.
• Mentor others in areas of basic engineering principles, philosophy, best working practices, and company policy through example and other means necessary to penetrate the organization to reach appropriate technical levels.

Qualifications, Experience, and Skill:

• Bachelor's degree or equivalent in related field
• 10+ years of engineering experience, preferably in Powersports or Automotive field
• Highly proficient in understanding and application of company philosophy, policies
• Highly proficient in written and oral communication
• Highly proficient in problem-solving methods
• Highly proficient in creating a plan and schedule
• Highly proficient understanding of development project cycles
• Highly proficient analytical, problem-solving, judgment, decision-making, and prioritization
• Highly proficient time management skills
• Must be able to possess a high level of confidentiality

Working Conditions:

• Travel: Average of 1-3 times monthly. Amount varies based on project demands/responsibilities, conferences, etc.
• Physical: Primarily works at a desk or scope; frequent keyboarding. Limited kneeling, standing, squatting, reaching or bending.
• Hazards: Risks found in a typical office & shop setting. May be exposed to explosives/flammables, pressurized equipment, toxic chemicals, and moving parts.
• Overtime: Overtime expected based on project demands/responsibilities.

What differentiates Honda and makes us an employer of choice?

Total Rewards:

• Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.)
• Regional Bonus (when applicable)
• Manager Lease Car Program (No Cost - Car, Maintenance, and Insurance included)
• Industry-leading Benefit Plans (Medical, Dental, Vision, Rx)
• Paid time off, including vacation, holidays, shutdown
• Company Paid Short-Term and Long-Term Disability
• 401K Plan with company match + additional contribution
• Relocation assistance (if eligible)

Career Growth:

• Advancement Opportunities
• Career Mobility
• Education Reimbursement for Continued learning
• Training and Development Programs

Additional Offerings:

• Lifestyle Account
• Childcare Reimbursement Account
• Elder Care Support
• Tuition Assistance & Student Loan Repayment
• Wellbeing Program
• Community Service and Engagement Programs
• Product Programs

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Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of 'power' that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize 'the joy and freedom of mobility' by developing new technologies and an innovative approach to achieve a 'zero environmental footprint.'

We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team.

If your goals and values align with Honda's, we want you to join our team to Bring the Future!

JOB PURPOSE

The Safety Sr. Specialist applies their scientific and practical knowledge of the Safety compliance field in order to innovate, design, and improve systems, processes, equipment, and tools in their assigned areas to improve the Safety characteristics in alignment with daily operations, new model, business plan, and/or innovation to achieve or exceed targets and promote safety excellence.

KEY ACCOUNTABILITIES

• Lead department Plant themes and complex improvement projects.
• Proactively cycle PDCA to reduce injuries and hazards and ensure continuous improvement of safety characteristics of assigned areas.
• Leverage Safety expertise to support Plants and Department Leaders, production safety advocates and/or safety committees to achieve self-sustaining safety culture and high level of safety performance.
• Accurately interpret and apply the Honda Safety Management manual including NA and HDMA policies and procedures.
• Participate in PDCA of policies and procedures based on technical expertise.
• Perform and document complex safety compliance activity including risk assessments, ergonomic studies, and process and equipment innovation.
• Detailed presentation and reporting of safety activities and results including complex data analysis and trending.
• Develop personal technical expertise and professional skills.

QUALIFICATIONS

• Bachelor’s degree in Engineering, Occupational Safety and Health, Athletic Training, Health Sciences or other safety and health program or equivalent related experience
• 2+ years of safety experience or equivalent Honda manufacturing experience

_Other Job Related Skills:_

• Achievement of professional certification such as Advanced Safety Certificate, Occupational Hygiene and Safety Technician,
• Certified Safety Professional, Safety Management Specialist.
• Interpersonal relationship skills
• Detailed understanding of major health and safety regulations and injury/illness prevention strategies
• Ability to communicate with all levels of the organization
• Verbal and written communication skills
• Open to mentorship guidance for personal skill growth
• Experience using Microsoft Office products
• Strong planning and prioritization skills
• Advanced data analysis and problem-solving skills
• Complex understanding of business plan, budgeting and cost reporting.
• Expertise with root cause analysis and implementation of countermeasures.

WORKSTYLE

• Open office environment
• Manufacturing environment
• Overtime, holiday and weekend work possible (needs will vary)
• Able to work varying/rotating shifts for extended periods of time if requested
• Minimal travel requirements (<%) with overnight stay
• Ability to perform production line work

What differentiates Honda and make us an employer of choice?

Total Rewards:

• Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.)
• Paid Overtime
• Regional Bonus (when applicable)
• Industry-leading Benefit Plans (Medical, Dental, Vision, Rx)
• Paid time off, including vacation, holidays, shutdown
• Company Paid Short-Term and Long-Term Disability
• 401K Plan with company match + additional contribution
• Relocation assistance (if eligible)

Career Growth:

• Advancement Opportunities
• Career Mobility
• Education Reimbursement for Continued Learning
• Training and Development programs

Additional Offerings:

• Tuition Assistance & Student Loan Repayment
• Lifestyle Account
• Childcare Reimbursement Account
• Elder Care Support
• Wellbeing Program
• Community Service and Engagement Programs
• Product Programs

XML job scraping automation by YubHub

Honda has a clear vision for the future, and it’s a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of “power” that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize “the joy and freedom of mobility” by developing new technologies and an innovative approach to achieve a “zero environmental footprint.”

We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team.

If your goals and values align with Honda’s, we want you to join our team to Bring the Future!

Job Purpose

This position will support the development of hardware and software technologies into our vehicles to enhance comfort, safety, and user experience towards creating a top-class infotainment platform with a focus on C.A.S.E. (Connected Autonomous Shared Electrification) and Quality.

Key Accountabilities

• Electrical Hardware and Software Testing

Perform actual hands-on performance testing that may include developing unique requirements on system components and vehicle testing to guarantee product acceptance.

Support maturation testing to cover different configurations of components to ensure all variations work correctly.

• Supplier Management

Direct the Honda selected suppliers to design and manage the component to maturation schedule requirements.

• Documentation

Write clear and concise reports, presentations and/or technical documents to make a record of the development activities, communicating directly with Technical Experts.

• Requirements Capture and Specification Development

Recognize and specify critical functional (hardware, software & communication) requirements for infotainment system components to match customer demands.

Develop, write, and issue specification requirements for system components.

• Analysis

Analyze & interpret test results, predict performance/failure and provide required product/design data.

• Project Management

Effectively communicate the development schedule and report status of component functions to different company areas/departments.

• Strategic Planning

Research and influence the future path and trends of infotainment system architecture, features/functions, and efficient development methods.

• Improvement & Innovation

Propose, develop, and justify any new functions (hardware, electrical, software, HMI, etc.) to meet the market requirements.

Qualifications, Experience, and Skills

Minimum Educational Qualifications: 4-yr degree of BS in Electrical or Electronics Engineering or Systems Engineering.

Minimum Experience: 0-2 years of related experience is desired.

Working Conditions

Sitting (40%), Standing (10%), Walking (10%), Reaching (5%), Vehicle testing (35%), Crouching (4%), Bending (4%), stooping (4%), Lift/Carry 50lbs (2%), Pushes/Pulls equip (2%)

Exposure to: Flammable gases, Compressed gases, Extreme Temperatures, Radio Frequencies, Drive vehicles and Color vision.

What differentiates Honda and make us an employer of choice?

Total Rewards:

• Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.)

• Paid Overtime

• Regional Bonus (when applicable)

• Industry-leading Benefit Plans (Medical, Dental, Vision, Rx)

• Paid time off, including vacation, holidays, shutdown

• Company Paid Short-Term and Long-Term Disability

• 401K Plan with company match + additional contribution

• Relocation assistance (if eligible)

Career Growth:

• Advancement Opportunities

• Career Mobility

• Education Reimbursement for Continued Learning

• Training and Development programs

Additional Offerings:

• Tuition Assistance & Student Loan Repayment

• Lifestyle Account

• Childcare Reimbursement Account

• Elder Care Support

• Wellbeing Program

• Community Service and Engagement Programs

• Product Programs

XML job scraping automation by YubHub

Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of 'power' that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize 'the joy and freedom of mobility' by developing new technologies and an innovative approach to achieve a 'zero environmental footprint.'

We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team.

If your goals and values align with Honda's, we want you to join our team to Bring the Future!

Job Purpose

This position will support the development of hardware and software technologies into our vehicles to enhance comfort, safety, and user experience towards creating a top-class infotainment platform with a focus on C.A.S.E. (Connected Autonomous Shared Electrification) and Quality.

Key Accountabilities

• Electrical Hardware and Software Testing

Perform actual hands-on performance testing that may include developing unique requirements on system components and vehicle testing to guarantee product acceptance.

Support maturation testing to cover different configurations of components to ensure all variations work correctly.

• Supplier Management

Direct the Honda selected suppliers to design and manage the component to maturation schedule requirements.

• Documentation

Write clear and concise reports, presentations and/or technical documents to make a record of the development activities, communicating directly with Technical Experts.

• Requirements Capture and Specification Development

Recognize and specify critical functional (hardware, software & communication) requirements for infotainment system components to match customer demands.

Develop, write, and issue specification requirements for system components.

• Analysis

Analyze & interpret test results, predict performance/failure and provide required product/design data.

• Project Management

Effectively communicate the development schedule and report status of component functions to different company areas/departments.

• Strategic Planning

Research and influence the future path and trends of infotainment system architecture, features/functions, and efficient development methods.

• Improvement & Innovation

Propose, develop, and justify any new functions (hardware, electrical, software, HMI, etc.) to meet the market requirements.

Qualifications, Experience, and Skills

Minimum Educational Qualifications: 4-yr degree of BS in Electrical or Electronics Engineering or Systems Engineering.

Minimum Experience: 0-2 years of related experience is desired.

Working Conditions

Sitting (40%), Standing (10%), Walking (10%), Reaching (5%), Vehicle testing (35%), Crouching (4%), Bending (4%), stooping (4%), Lift/Carry 50lbs (2%), Pushes/Pulls equip (2%)

Exposure to: Flammable gases, Compressed gases, Extreme Temperatures, Radio Frequencies, Drive vehicles and Color vision.

What differentiates Honda and make us an employer of choice?

Total Rewards:

• Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.)
• Paid Overtime
• Regional Bonus (when applicable)
• Industry-leading Benefit Plans (Medical, Dental, Vision, Rx)
• Paid time off, including vacation, holidays, shutdown
• Company Paid Short-Term and Long-Term Disability
• 401K Plan with company match + additional contribution
• Relocation assistance (if eligible)

Career Growth:

• Advancement Opportunities
• Career Mobility
• Education Reimbursement for Continued Learning
• Training and Development programs

Additional Offerings:

• Tuition Assistance & Student Loan Repayment
• Lifestyle Account
• Childcare Reimbursement Account
• Elder Care Support
• Wellbeing Program
• Community Service and Engagement Programs
• Product Programs

XML job scraping automation by YubHub

Honda has a clear vision for the future, and it’s a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of “power” that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realise “the joy and freedom of mobility” by developing new technologies and an innovative approach to achieve a “zero environmental footprint.”

We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team.

If your goals and values align with Honda’s, we want you to join our team to Bring the Future!

Job Purpose

This role is instrumental in realising designers’ concepts by creating compelling 3D vehicle models using advanced clay modelling and digital techniques, thereby supporting American Honda’s global reputation for excellence. The incumbent will be working in close partnership with the Creative Director and multidisciplinary teams, the 3D Expert ensures that styling projects achieve the highest standards of quality and innovation. The position bridges the gap between creative vision and practical execution by balancing styling intent with engineering requirements and facilitating seamless communication and collaboration across teams. Leadership responsibilities include providing technical mentorship, offering strategic guidance, and fostering emotionally engaging design solutions. Adaptability to emerging trends and technologies, along with a commitment to continuous improvement, are essential. By proactively seeking opportunities for innovation and optimising processes, the 3D Expert cultivates a culture of excellence within the Production Design department, ensuring every project not only meets but exceeds the expectations of both internal stakeholders and the wider automotive industry.

Key Accountabilities

Demonstrate exceptional proportional judgement and advanced surface development expertise by exploring, developing, and resolving diverse styling directions. Ensure the integration of production and engineering requirements with styling objectives to deliver fully resolved and feasible 3D models, thereby supporting the successful realisation of design intent within each project. Apply advanced hands-on clay modelling skills to establish and implement efficient development workflows, ensuring the timely achievement of program milestones, whilst providing direct leadership and support across multiple vehicle development projects as a core responsibility in fulfilling the job’s purpose. Critically evaluate existing processes to uncover inefficiencies and take ownership of driving continuous improvement by proactively researching, introducing, and implementing innovative technologies, tools, and training methods that elevate both team and departmental performance as a central aspect of fulfilling the job’s purpose. Deliver hands-on mentorship and technical guidance to design team members by imparting practical expertise in concept interpretation, styling expression, and clay modelling, thereby enhancing team capability and ensuring consistently high standards of execution in support of the job’s overall purpose.

Qualifications, Experience, and Skills

Minimum Educational Qualifications:

Bachelor’s degree in Industrial / Transportation / Product Design / Interior or Exterior Design / Engineering or equivalent relevant work experience.

Minimum relevant industry experience:

At least 12 or more years, of which 8 or more years should be in Styling (FMC/ MMC PL experience).

Other Job-Specific Skills:

Proficiency in automotive manufacturing and development.

A high level of hands-on competency in 2D to 3D

Mastery knowledge of both styling design and proportion principals

Excellent communication and collaboration skills

Must be able to propose innovative solution to balance styling and engineering requirements

Ability to work effectively in fast-paced, dynamic environment

Advanced experience in quality control and ensuring high standards of design quality

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Explore endless possibilities for your career. Search below by job category.

Co-op & Internship Program

Providing students with hands-on experience and exposure to Engineering and Business operations, and more.

Responsibilities

• Gain practical experience in various fields such as Engineering, Business, and more
• Develop skills and knowledge in a dynamic and supportive environment
• Collaborate with experienced professionals and peers to achieve common goals

Entry Level & Recent Graduates

Launching careers within immersive programs focusing on Accounting or Engineering; challenging projects, vast employee networks, and more.

Production, Technicians & Warehousing

Bringing Honda products to life through Assembly, Skilled Maintenance and Technicians, Parts Distribution, Materials Handling, and more.

Design & Engineering

Creating products that enhance mobility and daily lives through Creative Design, Engineering, and more.

Supply Chain

Delivering the goods that move our customers forward in Logistics, Distribution, Procurement, Warehousing, and more.

Manufacturing Engineering

Ensuring quality, safety, and reliability at every turn through Manufacturing, Process, Production engineering, and more.

Sales & Marketing

Putting customers at the center in Field, Operations, Advertising, Marketing, Product Planning, and more.

Information Technology

Creating new possibilities for a new future through Applications, Infrastructure, Systems, and more.

Corporate Operations

Fueling our operations in Accounting, Finance, Communications, HR, Legal, Credit Union, and more.

Your Journey Starts Here

Your career adventure with Honda begins when you apply. It's more than a process; it's your entry into a community where you'll flourish as part of Team Honda.

Explore a World of Benefits with Honda Total Rewards

Take care of what matters most. Honda offers medical, dental, and vision coverage designed to support you and your family at every stage.

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As the Automation and Retool Engineering Lead, you will own the health, strategy, and velocity of our internal tooling and automation ecosystem.

Responsibilities:

• Lead, mentor, and grow a high-performing team of Retool and automation engineers, fostering a culture of quality, speed, and continuous improvement.
• Own the technical roadmap and architectural vision for our internal tools stack (including Retool, n8n, and other low-code platforms), ensuring it remains scalable, secure, and bug-free.
• Constantly challenge the status quo by identifying operational bottlenecks and driving the development of new automations and tools that have a measurable impact on business efficiency and user satisfaction.

Requirements:

• Proven experience in people leadership, with a strong track record of hiring, mentoring, and developing engineering teams to achieve high performance.
• A solid technical foundation in frontend development, JavaScript, and/or low-code engineering, with hands-on experience using tools like Retool and n8n.
• Exceptional project management skills, with the ability to translate high-level business goals into a prioritized technical roadmap and hold your team accountable for delivery.
• A strategic mindset with the ability to assess complex technical ecosystems, identify risks, and make critical decisions about tooling and architecture.
• Excellent communication skills in English, with the ability to collaborate effectively with operational teams, product leaders, and other stakeholders to get it done.

Your space to perform We give you the space and the tools you need to succeed

Benefits:

• Great, international colleagues who share your mindset.
• Hybrid setup: after 3 months in-office, work 2 days remote, 3 days in-office weekly.
• We support growth with bunq Academy and €1500 annual learning budget.
• A massive discount with Urban Sports Club for your wellbeing (in the Netherlands).
• A Multisport gym card for your health and wellbeing (in Turkey).
• Flex Benefits: €70 monthly budget via Re: benefit, offering access to 150+ perks tailored to your lifestyle.
• Travel expenses are covered whether you come walking or by bike, bus or car (though we prefer green choices ) (In Turkey and Netherlands).
• Digital Nomad Program: After your first year, enjoy up to 20 days per year to work while traveling, combining flexibility with strong team collaboration.
• We reward tenure with a dedicated travel budget: €1.5k after 2 years and €3k after 4 years to visit another core office.
• A MacBook so you can Get Shit Done with us.
• Delicious lunches from our fabulous in-house chefs with vegan and vegetarian options.
• An optional pension plan with monthly contribution from bunq (in Netherlands).
• Private health insurance, just in case (in Turkey or Bulgaria).
• Monthly contribution to your phone and internet bills (in Turkey and Netherlands).
• Friday drinks and other celebrations - bunq style.

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As our Product Owner - Cards, your mission is to build the most seamless and secure card experiences on the planet. This means giving our users effortless control over their money - from getting a refund with a single tap, to getting paid by their customers using just their phone.

You'll own features that are critical to our user's financial life and business success. Your responsibilities will include:

Designing and delivering a frictionless, in-app refund process for card payments. Driving the vision and adoption of Tap to Pay, transforming our users' phones into simple, powerful payment terminals and eliminating their need for complex, costly hardware. Ensuring both the refund and Tap to Pay experiences are perfectly adapted to meet the specific expectations and regulations of each new country we enter, making our product feel native everywhere.

If you're up for this challenge, join us!

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You will play a critical role in safeguarding the reputation of both our users and our platform.

Take ownership:

As our User Review Team Lead, you’ll take the helm of high-stakes processes and lead your team to deliver unfaltering protection for our users through:

High-Speed Enhanced Due Diligence (EDD): You’ll handle the most intricate and high-risk cases and ensure your team resolves cases within the specified Average Handling Time

Backlog-Free Continuous Reviews: You’ll ensure timely periodic and event-driven re-reviews to decrease waiting times

Uncompromising Quality & Accuracy: You will maintain a robust, risk-based decision-making approach that achieves and consistently sustains a high Quality Score

Process Automation and Innovation: You’ll identify delays, shortcomings, and inefficiencies in the EDD framework and propose AI-driven and data-backed improvements to streamline processes and enhance compliance

Team Collaboration: Engage cross-functionally with engineering, audit, and compliance teams to design and implement lasting solutions that align with compliance frameworks and stay ahead of regulatory demands

Requirements:

You have deep knowledge of AML regulations, KYC protocols, sanctions, and a proven ability to accurately manage Dow Jones alerts and other risk indicators

You excel at analyzing complex personal and corporate profiles, including corporate UBOs and crypto-related entities, while maintaining SLA compliance

You have an engineering mindset - you leverage AI, data, and root cause analysis to identify bottlenecks and implement systematic improvements that optimize workflows

You make efficient, high-quality risk-based decisions with attention to the smallest details, improving both security and the user experience

You have experience managing high-performing teams and fostering resilience, efficiency, and expertise under tight stakes and timelines

Clearly and effective communication in English is second nature to you, ensuring that all internal and external stakeholder interactions deliver clarity and precision

Your space to perform:

We give you the space and the tools you need to succeed

Great, international colleagues who share your mindset

Hybrid setup: after 3 months in-office, work 2 days remote, 3 days in-office weekly

We support growth with bunq Academy and €1500 annual learning budget

A massive discount with Urban Sports Club for your wellbeing (in the Netherlands)

A Multisport gym card for your health and wellbeing (in Turkey)

Flex Benefits: €70 monthly budget via Re: benefit, offering access to 150+ perks tailored to your lifestyle, including Multisport card, food and fuel vouchers and more

Travel expenses are covered whether you come walking or by bike, bus or car (though we prefer green choices ) (In Turkey and Netherlands)

Digital Nomad Program: After your first year, enjoy up to 20 days per year to work while traveling, combining flexibility with strong team collaboration

We reward tenure with a dedicated travel budget: €1.5k after 2 years and €3k after 4 years to visit another core office.

A MacBook so you can Get Shit Done with us

Delicious lunches from our fabulous in-house chefs with vegan and vegetarian options in the Netherlands and in Turkey and lunch allowance in Bulgaria

An optional pension plan with monthly contribution from bunq (in Netherlands)

Private health insurance, just in case (in Turkey or Bulgaria)

Monthly contribution to your phone and internet bills (in Turkey and Netherlands)

Friday drinks and other celebrations - bunq style

All new hires are subject to Pre-employment Screening (PES), which includes checks conducted by our third-party partner, DISA. This is part of our commitment to a secure and trustworthy workplace

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In Operations, we turn molecules into medicine and are unified in our commitment to deliver more medicines to more patients more quickly. We are the critical link that brings innovation from our science labs to patients around the world.

We're achieving all of this while continuing to accelerate our operational excellence through innovative science, Lean ways of working, and evolving digital technologies.

Using cell therapy to halt and reverse disease, restore damaged organs, and, ultimately, cure many life-threatening conditions is now a realistic goal for our scientists and operators.

About Rockville Manufacturing Centre (RMC):

Our role in Operations is to bring these promising therapies from the lab to life through a thorough process of development, manufacturing, testing and supply.

Our fast-paced, growing environment provides a wealth of opportunity and global opportunities to learn from other teams, embrace lifelong learning and build capabilities, setting your own direction and pace for your long-term career.

Introduction to role:

Are you ready to develop an attitude of excellence? Join AstraZeneca's Operations team as the Quality Systems & Compliance Associate Director, Cell Therapy at the Rockville Manufacturing Centre (RMC) facility, the newest addition to our global supply network.

We aim to make a direct impact on patients by delivering life-saving cell therapies. This is your chance to break new ground and leave a collective legacy!

Accountabilities:

As the Quality Systems & Compliance Associate Director, Cell Therapy, you will provide leadership, direction and mentoring to ensure that the QS/C organisation is successful in meeting the quality and manufacturing objectives in support of site goals.

You will represent the QS/C department and/or the Quality Organisation on assigned site governance and operational teams internally, and as an empowered functional representative externally to ensure results are aligned with site business objectives.

You will facilitate the growth and development of QS/C staff, provide strategic support to the Quality Site Lead, Compliance and Site Support, for operational and long-term growth, and demonstrate excellent communication skills through internal and external channels.

Essential Skills/Experience:

• B.S. degree in Science, Engineering, Pharmacy, or related technical field with a minimum of 5 years of applicable experience

• Minimum of 2 years of management/supervisory/project management experience

• Experience in audit and inspection management

• Consistent record of working in a fast-paced, cross-functional work environment

• Excellent written and verbal communication skills

• Team oriented approach to project management and problem resolution

• Proven record of making decisions that balance patient safety, compliance, and supply

• Ability to influence senior collaborators, both internally and externally

• Ability to multi-task and prioritise work

Desirable Skills/Experience:

• M.S. degree in Science, Engineering, Pharmacy, or related technical field with a minimum of 5 years of applicable experience

• Advanced degree in Science, Engineering, Biochemistry, Pharmacy or related technical field

• Experience with Quality Systems (e.g. Veeva Vault) is desirable.

• Experience with Cell Therapy regulatory inspections

• Extensive working knowledge of international Cell Therapy GxP regulatory frameworks, regulations, and guidance.

• Experience engaging with global regulatory bodies

• Consistent track record of attracting and developing talent

Benefits:

AstraZeneca offers a competitive salary range of $129,556.80 - $194,335.20 USD Annual, a short-term incentive bonus opportunity, eligibility to participate in our equity-based long-term incentive program (salaried roles), to receive a retirement contribution (hourly roles), and commission payment eligibility (sales roles).

Benefits offered include a qualified retirement program (401(k) plan), paid vacation and holidays, paid leaves, and health benefits including medical, prescription drug, dental, and vision coverage in accordance with the terms and conditions of the applicable plans.

Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, employee will be in an 'at-will position' and the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

At AstraZeneca, we champion a perspective of excellence. Our environment is driven by a belief that good can always be better. We continuously seek opportunities to contribute by harnessing science and evidence to foresee risks. It's a place where innovation thrives as we focus on delivering life-changing medicines to patients.

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In this role, you will contribute to the continuous improvement of our DevOps processes, collaborate with cross-functional teams, and apply best practices for scalable, reliable, and secure systems.

Our ideal candidate has a solid technical foundation, a strong hands-on approach, and the ability to deliver results with minimal supervision.

Our Tech Stack

• Cloud: AWS (EC2, S3, RDS, EKS, Elasticache, Lambda)
• Container Orchestration: Kubernetes with Helm
• Infrastructure as Code: Terraform + Terragrunt, Pulumi/ CDK
• Monitoring & Observability: Prometheus, Grafana, Elastic Stack, OpenTelemetry
• CI/CD: Jenkins, GitHub Actions, ArgoCD, ArgoRollouts
• Scripting: Python, Go, Bash
• Version Control: GitHub
• Collaboration: Jira (Agile)
• Automation: N8N, AI-assisted tooling (Agentic ADK)

Your role in this journey

As a DevOps Engineer, you will be responsible for:

• Implementing and maintaining infrastructure definitions using Terraform, Pulumi, or similar tools
• Ensuring IaC standards are followed and contributing improvements to existing modules and patterns
• Managing and monitoring AWS services, ensuring system performance, availability, and adherence to best practices
• Troubleshooting production issues and participating in capacity planning
• Maintaining and troubleshooting Kubernetes clusters , deploying workloads, managing configurations, scaling services, and resolving incidents to support high-availability applications
• Maintaining and improving CI/CD pipelines to ensure smooth, automated software delivery
• Identifying bottlenecks and implementing enhancements across Jenkins, GitHub Actions, ArgoRollouts and ArgoCD
• Maintaining and extending our monitoring stack (Prometheus, Grafana)
• Building dashboards, configuring alerts, and improving observability to ensure comprehensive visibility into system health and performance

Your backpack is filled with

• 4+ years of experience in a DevOps, SRE, or cloud engineering role with hands-on production experience
• Solid working experience with AWS services (EC2, EKS, S3, RDS, Lambda) and cloud infrastructure management
• Hands-on experience with Docker and Kubernetes in production environments , deploying, scaling, and troubleshooting containerized workloads
• Practical experience with at least one Infrastructure as Code tool (Terraform, Pulumi, or AWS CDK)
• Experience maintaining and improving CI/CD pipelines using tools like Jenkins, GitHub Actions, or ArgoCD
• Proficiency in scripting with Python, Bash, or Go for operational automation
• Working knowledge of monitoring and observability tools such as Prometheus, Grafana, or similar platforms
• Familiarity with logging and log aggregation systems (Elastic Stack, Open Telemetry, or similar)
• Solid understanding of Linux administration, networking fundamentals, and system security basics
• Strong communication skills with the ability to collaborate across teams and explain technical decisions clearly

Nice to Have

• Experience with Helm charts and Kubernetes package management
• Familiarity with GitOps workflows (e.g., Github Actions, ArgoCD, Flux)
• Experience with designing AWS services-based architectures is a plus
• Experience with AI automation or low-code/no-code platforms such as N8N is a plus
• Familiarity with prompt engineering and using AI tools to augment DevOps workflows
• Exposure to cost optimization strategies for cloud infrastructure
• Experience with incident response, on-call rotations, or SRE practices (SLOs, error budgets)
• Experience with DevSecOps practices , integrating security scanning and compliance into CI/CD pipelines

Our adventure includes

• Impact: Shape the future of travel with products used by millions of guests and thousands of hosts
• Learning: Grow professionally in a culture that thrives on curiosity and feedback
• Great People: Join a team of smart, motivated, and international colleagues who challenge and support each other
• Technology: Work in a modern tech environment
• Flexibility: Work a hybrid setup with 50% in-office time for collaboration, and spend up to 8 weeks a year from other inspiring locations
• Perks on Top: Of course, we also offer travel benefits, gym discounts, and other perks to keep you energized

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Key responsibilities include:

• Leveraging multiple data sources to identify modern evolving threats and developing new detection and response approaches
• Creating and operating high-fidelity detections mechanisms that drive efficient, effective, and repeatable response
• Owning, operating, and automating detection and response workflows to enable the team to focus on strategic objectives
• Leading information security response activities for the firm
• Working across business and technology teams to deliver positive outcomes across the firm

Requirements include:

• A bachelor's or master's degree in computer science or cyber security with a strong IT background or equivalent demonstrable experience
• 3 years' experience working in a security engineering role, with financial industry experience preferred
• Experience in creating detections in modern query languages (KQL, SQL, SPL)
• Possession of security certifications (Security+, OSCP, CISSP, CEH, GCIA, GCIH)
• Experience with modern security tooling across security domains; network, endpoint, data, identity, and cloud
• Experience in standard enterprise technology stack, including Active Directory, Entra, Group Policy, Intune, DNS, TCP/IP, PKI, Microsoft 365, Windows, Linux, MacOS, etc.
• Ability to handle sensitive and/or confidential materials with appropriate discretion
• Required scripting, development, and automation skills using PowerShell or Python and proficient development tools
• Experience in OSINT, threat hunting, and analysing malicious emails
• Ability to prioritise in a fast-moving, high-pressure, constantly changing environment

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This role requires a strong technical background in Data Management, Data Architecture, Data Lineage, Data Quality, Master Data Management (MDM), and automation within Financial Services and/or Technology.

You will contribute to and help lead the technical design of data governance controls, data models, and integration patterns, partnering closely with Technology and Operations teams.

Key Responsibilities:

• Build/enhance data governance frameworks, controls, standards, and workflows (policies, definitions, entitlements).
• Create data quality rules and monitoring; automate exception detection, alerting, remediation, SLAs, and RCA.
• Develop Python/SQL/ETL-ELT automation for checks, controls, and reporting; deliver Tableau/Power BI dashboards and KPIs.
• Contribute to conceptual/logical/physical data modeling for Trader Master and core domains.
• Support MDM capabilities: golden record, matching/merging, survivorship, stewardship workflows; help shape MDM strategy.
• Implement access/entitlement governance (RBAC, row/column security) across DB/warehouse/BI with audit compliance.
• Maintain catalog, glossary, lineage, schema history, impact analysis; manage structured change workflows.
• Define integration patterns (batch/API/streaming) and build reconciliations/validations across systems.
• Manage historical/temporal data (validation, backfills, remediation) supporting regulatory/reporting/analytics.
• Produce technical documentation (designs, runbooks, data dictionaries), share knowledge, and mentor juniors.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Mathematics, Finance, or related field; advanced degree (MS, MBA, or equivalent) is a plus.
• 5–8 years of experience in financial services or fintech with hands-on work in data engineering, data management, or data architecture roles; exposure to trading strategies, fund structures, and financial products strongly preferred.

Technical Expertise (Required):

• Strong Python and SQL; experience with data warehousing + ETL/ELT.
• Familiarity with MDM/data governance tools (e.g., Collibra, Informatica, Alation) and Tableau/Power BI.
• Proven ability to lead delivery, solve complex data issues, and communicate with technical/non-technical stakeholders.
• Preferred certs: DAMA/CDMP, cloud (AWS/Azure/GCP), Scrum, BI/data engineering.

Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package.

The estimated base salary range for this position is $70,000 to $160,000, which is specific to New York and may change in the future.

When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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The successful candidate will join a global team responsible for designing and developing Equities Volatility, Risk, PnL, and Market Data systems.

You will work hands-on with other developers, QA, and production support, and will partner closely with Portfolio Managers, Middle Office, and Risk Managers.

We are looking for a very strong senior engineer with deep knowledge of equity derivatives products and their pricing and risk characteristics.

You must be a highly capable hands-on developer with a solid understanding of front-to-back trading system workflows, especially pricing and risk.

Excellent communication skills, strong ownership, and the ability to work effectively in a fast-paced, collaborative environment are essential.

Experience in Unix/Linux environments is required; exposure to cloud and containerization technologies is a plus.

Principal Responsibilities

• Design, build, and maintain real-time equity derivatives pricing and risk systems (including volatility and PnL components).

• Implement robust, scalable, and low-latency server-side components in a multi-threaded environment.

• Collaborate with portfolio managers, risk, and middle office to translate business requirements into technical solutions.

• Contribute to UI components as needed (and learn new UI technologies where required).

• Write clear technical documentation and maintain system design and support guides.

• Develop and execute automated tests using approved frameworks; ensure production quality and reliability.

• Provide level-3 support, troubleshooting, and performance tuning for production systems.

Qualifications & Skills

• 7+ years of professional experience as a server-side software engineer.

• Deep understanding of equity derivatives products (options, volatility products, exotics) and their pricing and risk measures (e.g., Greeks, PnL attribution).

• Strong experience with concurrent, multi-threaded, and low-latency application architectures.

• Expertise in Object-Oriented design, design patterns, and best practices in unit and integration testing.

• Experience with distributed caching and replication technologies.

• Solid knowledge of Unix/Linux environments is required.

• Experience with Agile/Scrum development methodologies is required.

• Exposure to front-end/UI technologies (JavaScript, HTML5) is a plus.

• Experience with cloud platforms and containerization (e.g., Docker, Kubernetes) is a plus.

• B.S. in Computer Science, Mathematics, Physics, Financial Engineering, or related field.

• Demonstrates thoroughness, attention to detail, and strong ownership of deliverables.

• Effective team player with a strong willingness to collaborate and help others.

• Strong written and verbal communication skills; able to explain complex technical and quantitative topics to non-technical stakeholders.

• Proven ability to write clear, concise documentation.

• Fast learner with the ability to adapt to new technologies and business domains.

• Able to perform under pressure, work with ambitious team members, and handle changing priorities.

Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package.

The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future.

When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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Key responsibilities include:

• Developing and maintaining quality engineering methods to meet customer, internal, and regulatory requirements
• Evaluating existing quality systems and manufacturing processes and implementing projects to improve productivity and efficiency
• Providing QA project support for site New Product Development engineering introductions
• Creating quality plans and conducting FMEA
• Using Six Sigma, A3, and 7 QC tools and/or methods to facilitate investigations of failures identified by customer complaints, internal non-conformances, and manufacturing yield issues in batch production
• Leading and/or supporting Corrective and Preventative Actions, including identifying and eliminating root causes using A3, PDCA, and/or 8D methodologies and ensuring closure of action items in a 24-7 manufacturing environment
• Collaborating with cross-functional teams to drive continuous improvement initiatives and ensure alignment with quality objectives
• Creating data models and reports in Visual Basic, Excel Power Query, and/or PowerBI to analyze continuous manufacturing datasets, automate monitoring and reporting on quality metrics, and enable identification of trends and areas for improvement
• Identifying and mitigating quality risks during product development and manufacturing in accordance with ISO 9001 and/or ISO 13485 standards
• Implementing risk management processes to assess, control, and monitor quality risks during the product lifecycle

Additional requirements include up to 10% U.S. and/or international travel and a salary range of $128,000.00 to $145,000.00.

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We are looking for a strong technical leader with financial markets technology experience and real-time market data expertise to design, build, and support our global real-time market data platform. This role emphasizes technical leadership, architectural ownership, and cross-team coordination rather than people management.

Principal Responsibilities:

• Act as the technical owner for a major market data workstream, setting technical direction, defining architecture, and driving execution across the full lifecycle.
• Collaborate with hardware and software teams across divisions to design and build real-time market data processing and distribution systems.
• Lead and drive new technical initiatives for the team, including evaluating technologies, defining standards, and establishing best practices.
• Design and develop systems, interfaces, and tools for historical market data and trading simulations that increase research productivity.
• Architect and implement components of an enterprise market data platform, including components for caching, aggregation, conflation and value-added data enrichment.
• Optimise platform performance using network and systems programming, and advanced low-latency techniques (CPU, NIC, kernel, and application-level tuning).
• Lead the design and maintenance of automated test and benchmark frameworks, and tools for risk management, performance tracking, and system validation.
• Provide technical leadership for the support and operation of both enterprise real-time market data environments, including coordinating internal, vendor, and exchange-driven changes.
• Design and engineer components to automate support and management of the market data platform, including monitoring, real-time and historical metrics collection/visualisation, and self-service administrative/user tools.
• Serve as a primary technical liaison for users of the market data environment (Portfolio Managers, trading desks, and core technology teams), translating requirements into robust technical solutions.
• Lead the enhancement of processes and workflows for operating the market data platform (release/deployment, incident management and remediation, exchange notification handling, defining and enforcing SLAs).
• Mentor and influence other engineers through code reviews, design reviews, and hands-on guidance, fostering a culture of technical excellence and accountability.

Qualifications / Skills Required:

• Degree in Computer Science or a related field with a strong background in data structures, algorithms, and object-oriented programming in modern C++.
• Deep understanding of Linux system internals and networking, especially in low-latency and high-throughput environments.
• Strong knowledge of CPU architecture and the ability to leverage CPU capabilities for performance optimisation.
• Demonstrated experience acting as a technical lead or senior engineer owning complex systems or workstreams end-to-end (design, delivery, and operations).
• Able to prioritise and make trade-offs in a fast-moving, high-pressure, constantly changing environment; strong sense of urgency, ownership, and follow-through.
• Strong belief in and practice of extreme ownership, with a track record of taking accountability for systems in production.
• Effective communication and stakeholder management skills: able to work closely with business and technology users, understand their needs, and drive appropriate technical solutions.
• Experience building solutions on cloud environments such as GCP and AWS.
• Knowledge of additional programming languages such as Java, Python, or scripting (Perl, shell).
• Technical background in application development on complex market data systems (e.g., Bloomberg, Thomson Reuters, etc.).
• Experience supporting market data environments within a global organisation, including internally developed DMA feed handlers and distribution infrastructure.
• Strong understanding of market data concepts and functionality, including data models (fields/messages), protocols (e.g., snapshot + delta), order book representations (L1/L2/L3), recovery, and reliability.
• Hands-on Site Reliability Engineering or DevOps experience, including system administration, automation, measurement, and release/deployment management.
• Experience with monitoring, metrics, and command/control tooling for distributed market data platforms, with the ability to evaluate existing solutions and drive enhancements across development and operations.
• Ability to operate with a high level of thoroughness and attention to detail, demonstrating strong ownership of deliverables and production systems.

Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. When finalising an offer, we take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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Our technology teams are looking for Software Engineers with C++, Python, or Java to design, implement, and maintain systems supporting our technology business functions.

Candidate is expected to:

• Work closely with technology teams to develop requirements and specifications for varying projects
• Take part in the development and enhancement of the backend distributed system
• Apply AI/ML (deep learning, natural language processing, large language models) to practical and comprehensive technology solutions

Qualifications/Skills Required:

• 2-5 years of experience working with C++, Python, or Java
• Experience with ML libraries, Pandas, NumPy, FastAPI (Python), Boost (C++), Spring Boot (Java)
• Must be comfortable working in both Unix/Linux and Windows environments
• Good understanding of various design patterns
• Strong analytical and mathematical skills along with an interest/ability to quickly learn additional languages and quantitative concepts
• Solid communication skills
• Able to work collaboratively in a fast-paced environment with a passion to solving complex problems
• Detail oriented, organized, demonstrating thoroughness and strong ownership of work

Desirable Skills/Knowledge:

• Bachelor or Master's degree in Computer Science, Applied Mathematics, Statistics, Data Science/ML/AI, or a related technical or engineering field
• Demonstrable passion for developing LLM-powered products whether that is through commercial experience or open source/academic projects you have worked on in your own time
• Hands-on experience building ML and data pipeline architectures
• Understanding of distributed messaging systems
• Experience with Docker/Kubernetes, microservices architecture in a cloud environment (AWS, GCP preferred)
• Experience with relational and non-relational database platforms

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The Director, US Forecasting & Analytics – Vaccines & Immune Therapies is a senior commercial insights leader responsible for US demand forecasting and analytics across the V&I portfolio. The role is predominantly forecast-focused, serving as the US forecasting lead and strategic thought partner to Marketing, Finance, Market Access, and US teams.

Responsibilities:

US Forecasting Leadership (Core Accountability)

• Lead US short-term and long-term demand forecasts (TRx, NBRx, volume, patients, revenue) for V&I assets using robust, patient-based and market-based models
• Own forecast methodology, assumptions, and governance, ensuring objectivity, transparency, and consistency with enterprise standards
• Integrate primary market research, epidemiology, competitive intelligence, access dynamics, and real-world data into forecast models
• Proactively identify and quantify key risks and opportunities through scenario and sensitivity analyses
• Partner closely with Finance, Market Access & Pricing, Marketing, Sales, Medical, and Global Forecasting to ensure alignment on assumptions and implications
• Support business planning, governance reviews, and opportunity assessments with clear, executive-ready narratives
• Serve as a trusted advisor to senior marketing and finance leadership, clearly articulating forecast drivers and changes

Analytics & Resource Leadership (Enablement)

• Provide leadership over forecasting-adjacent analytics, ensuring advanced analytics and insights are embedded into forecasting and business planning
• Manage and prioritize internal analysts, contractors, and external vendors supporting forecasting and analytics deliverables
• Partner with data analytics resources, Global IA&F, and GIBEX capability teams to deploy new tools, data sources, and modeling approaches
• Champion and identify new ways to embed AI and advanced automation into the practice of data analytics and forecasting to drive efficiency, scalability, and decision quality
• Champion continuous improvement in forecasting processes, AI-enabled modeling, and automation
• Contribute to the development and sharing of best practices across the V&I forecasting community

Essential for the role

• Bachelor’s degree in a quantitative, scientific, or business-related field required (e.g., Statistics, Economics, Mathematics, Engineering, Computer/Data Science).
• 8+ years’ experience in US pharmaceutical commercial forecasting, including in-market and late-stage pipeline assets
• Hands-on model ownership experience (build, refresh, and performance tracking) across short- and long-term horizons
• Expertise in scenario-based forecasting, sensitivity analysis, and driver-based narratives to support senior decision-making
• Strong capability integrating multiple data types (e.g., IQVIA, claims, epidemiology, RWD/RWE, primary research) into coherent, decision-grade forecasts
• Working knowledge of advanced analytics/ML approaches (e.g., time series, causal inference, ensembles) and where they add value vs. traditional methods
• Fluency in modern analytics tooling and automation (e.g., Python/R/SQL, BI/visualization), with ability to partner effectively with data engineering and analytics teams
• Demonstrated forecast governance and model risk discipline (traceable assumptions, documentation, and clear explanations)
• Strong understanding of US market access and payer dynamics and how they impact demand (coverage, contracting, channel, policy)
• Exceptional communication: translates complex analysis into clear, executive-ready insights, options, and recommendations
• Strong commercial competence across key demand levers (positioning, adoption, competitive dynamics, lifecycle events)

Desirable for the role

• Advanced degree preferred (e.g., MBA, MS, PhD in Statistics, Economics, Decision Sciences, Data Science, or related discipline).
• Vaccines and/or Rare Disease experience, including familiarity with immunization dynamics, patient-based forecasting, and lifecycle management in preventive or immune-mediated therapies
• Change leadership: builds adoption for new tools, processes, and ways of working across cross-functional stakeholders
• Product mindset for forecasting: defines user needs, success metrics, and a roadmap for portfolio forecasting capabilities
• Model lifecycle practices (e.g., reproducibility, versioning, monitoring/drift awareness); familiarity with MLOps concepts

Office Working Requirements

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That’s why we work, on average, a minimum of three days per week from the office. But that doesn’t mean we’re not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

#LI-Hybrid

Date Posted 10-Apr-2026 Closing Date 23-Apr-2026 Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

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This is a hands-on role requiring deep fixed income market structure knowledge combined with strong quantitative and software development skills. The successful candidate will be expected to assess the firm's existing data and workflow landscape, identify and size near-term P&L opportunities, and lead the build-out of execution and analysis infrastructure.

Principal Responsibilities

• Assess the firm's existing fixed income data assets (dealer axes, evaluated pricing, TRACE prints, swap SDR data, futures market data) and design a coherent real-time and historical data layer to support execution and analysis
• Identify and size near-term opportunities in execution quality improvement, transaction cost reduction, and flow internalization across credit, rates, and swaps
• Design, build, and operate internal execution algorithms covering the full fixed income liquidity spectrum, from liquid on-the-run Treasuries to illiquid corporate bonds,using RFQ, click-to-trade, and direct connectivity workflows
• Build transaction cost analysis and pre-trade cost models for fixed income instruments;
• Partner with portfolio managers and traders to understand flow characteristics and communicate execution analytics clearly
• Recruit and mentor junior quants and engineers as the platform scales

Qualifications / Skills Required

• 10+ years of relevant experience in fixed income electronic trading, execution, or quantitative research on the buy side or sell side
• Hands-on experience building execution infrastructure for institutional fixed income: RFQ and/or click-to-trade workflows, FIX protocol connectivity, and integration with major electronic venues
• Experience building TCA or cost models for fixed income instruments, including illiquid and sparsely traded securities
• Strong programming skills; experience with data pipelines and market data APIs
• Solid quantitative background; degree in Mathematics, Computer Science, Engineering, Physics, or a related field
• Demonstrated ability to translate data analysis into actionable P&L estimates and communicate findings to non-technical stakeholders
• Experience as a hands-on development lead, with a track record of taking projects from inception to production

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Communicating Between Technical and Non-Technical Colleagues

As a Staff Data Engineer, you will communicate effectively with technical and non-technical stakeholders, support and host discussions within a multidisciplinary team, and be an advocate for the team externally.

Data Analysis and Synthesis

You will undertake data profiling and source system analysis, present clear insights to colleagues to support the end use of the data.

Data Development Process

You will design, build and test data products that are complex or large scale, build teams to complete data integration services.

Data Innovation

You will understand the impact on the organization of emerging trends in data tools, analysis techniques and data usage.

Data Integration Design

You will select and implement the appropriate technologies to deliver resilient, scalable and future-proofed data solutions and integration pipelines.

Data Modeling

You will produce relevant data models across multiple subject areas, explain which models to use for which purpose, understand industry-recognised data modelling patterns and standards, and when to apply them, compare and align different data models.

Metadata Management

You will design an appropriate metadata repository and present changes to existing metadata repositories, understand a range of tools for storing and working with metadata, provide oversight and advice to more inexperienced members of the team.

Problem Resolution

You will respond to problems in databases, data processes, data products and services as they occur, initiate actions, monitor services and identify trends to resolve problems, determine the appropriate remedy and assist with its implementation, and with preventative measures.

Programming and Build

You will use agreed standards and tools to design, code, test, correct and document moderate-to-complex programs and scripts from agreed specifications and subsequent iterations, collaborate with others to review specifications where appropriate.

Technical Understanding

You will understand the core technical concepts related to the role, and apply them with guidance.

Testing

You will review requirements and specifications, and define test conditions, identify issues and risks associated with work, analyse and report test activities and results.

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Millennium SOC is looking for an experienced Threat Detection Engineer to drive our best-in-class posture.

This is a highly technical role, and successful candidates will have demonstrable knowledge and experience across a range of business and security technologies within a fast-paced organisation.

Principal Responsibilities

• Identify modern evolving threats and develop new detection and response approaches
• Create and operate high-fidelity detections mechanisms that drive efficient, effective and repeatable response
• Own, operate and automate detection and response workflows, that enable the team to focus on strategic objectives
• Lead Information Security response activities for the firm
• Work across business and technology teams to deliver positive outcomes across the firm
• Explain complex technology and information security related concepts to a wide range of stakeholders
• Enforce security policies and procedures by administering and monitoring appropriate systems, events and answering stakeholder queries
• Monitor new and emerging security and privacy related technologies, trends, issues, and solutions and assess their applicability to Millennium key business initiatives and business strategies
• Ensure Millennium Information Security capabilities remain fit for purpose and evolve to meet the changing threat landscape

Qualifications/Skills Required

• Bachelor or master’s degree in computer science or cyber security with strong IT background or equivalent demonstrable experience
• 3 years’ experience working in a security engineering role, financial industry experience preferred
• Experience in creating detections in modern query languages (KQL, SQL, SPL)
• Possesses security certifications (Security+, OSCP, CISSP, CEH, GCIA, GCIH)
• Experience with modern security tooling across security domains; network, endpoint, data, identity and cloud
• Experience in standard enterprise technology stack, Active Directory, Entra, Group Policy, Intune, DNS, TCP/IP, PKI, Microsoft 365, Windows, Linux, MacOS, etc.
• Ability to handle sensitive and/or confidential materials with appropriate discretion
• Required scripting, development and automation skills using PowerShell or Python and proficient development tools
• Experience in OSINT, Threat hunting and analysing malicious emails
• Able to prioritise in a fast moving, high pressure, constantly changing environment

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Shape Testing Strategy for AI-Native Products

• Design and own end-to-end test strategies,automated and manual,for products that integrate LLMs, generative AI, and complex data pipelines.
• Develop novel evaluation frameworks for LLM output quality, prompt regression testing, and RAG retrieval accuracy.
• Select, implement, and continuously improve testing tools and frameworks in collaboration with engineering leadership and platform excellence teams.
• Drive a measurable shift from manual to automated testing, with clear metrics to track progress.

Own Quality and Release Readiness

• Be the single point of accountability for testing across all releases of your two products.
• Build and maintain automation frameworks and scripts that keep pace with rapid release cycles.
• Analyse test results, spot trends, and turn data into actionable improvements,not just reports.
• Prepare release-readiness documentation and quality artifacts that satisfy both internal stakeholders and GxP compliance requirements.

Lead, Coach, and Build Culture

• Partner with engineering managers, scrum masters, and delivery leads across squads and geographies to establish a shared quality vision.
• Lead external contract test engineering squads by influence,setting standards, mentoring team members, and modelling engineering excellence.
• Champion a quality-engineering mindset: everyone ships quality, not just the test team.
• Stay hands-on,write test cases, debug failures, and pair with engineers when the situation calls for it.

Essential Skills and Experience

• Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, Information Science, or a related field (or equivalent practical experience).
• 10+ years of hands-on software test engineering experience across the full stack (UI, API, data).
• Proven ability to lead test strategy and mentor other test engineers,whether through formal management or technical leadership.
• Strong automation skills with modern frameworks such as Playwright, Selenium, or Cypress, plus scripting fluency in Python or a comparable language.
• Solid experience with REST API testing, database validation (PostgreSQL, MongoDB, or similar), and CI/CD-integrated test pipelines.
• A data-driven approach to quality: you define metrics, instrument dashboards, and use evidence to drive decisions.

Highly Preferred

• Experience testing AI/ML-powered products,especially LLM evaluation, prompt testing, RAG validation, or output-quality benchmarking.
• Familiarity with GxP software validation, computerised system validation (CSV), or regulated-industry quality practices.
• Background in life sciences, health-tech, or clinical-trial technology.
• Experience working with geographically distributed teams and external vendor squads.

If you're looking for a role where deep test engineering craft meets the frontier of AI,and where your work genuinely improves patient outcomes,this is it.

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The systematic data group is looking for a Quantitative Developer to join our growing team. The team consists of content specialists, data scientists, engineers, and quant developers who are responsible for discovering, maintaining, and analysing sources of alpha for our portfolio managers.

The role builds on individual's knowledge and skills in four key areas of quantitative investing: data, statistics, technology, and financial markets.

Principal Responsibilities:

• Use finance knowledge and statistical knowledge to analyse potential alpha sources and present findings to portfolio managers and quantitative analysts.
• Build quant tools to help portfolio managers research, evaluate, combine alphas, and understand risks.
• Design and maintain tools to evaluate and monitor data quality and integrity for a wide variety of data sources.
• Engage with vendors, brokers, and perform analytics to understand characteristics of datasets.
• Interact with portfolio managers and quantitative analysts to understand their use cases and recommend datasets to help maximise their profitability.

Skills Required:

• 3+ years of work experience as a financial engineer, data scientist, or quant developer.
• Strong knowledge of Python and/or C++, Java, C#.
• Familiarity with data pipeline engineering, ETL for large datasets, and scheduling tools like Airflow.
• Strong SQL and database experience including PL-SQL or T-SQL.
• Understanding of typical software development lifecycle and familiarity with: Linux, GitHub, CI/CD.
• Ph.D. or Masters in computer science, mathematics, statistics, or other field requiring quantitative analysis.

Beneficial Skills and Experience:

• Understanding of risk models and performance attribution.
• Experience with financial markets such as equities and futures.
• Knowledge of statistical techniques and their usage.

The estimated base salary range for this position is $165,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package.

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We are looking for a highly motivated and detail-oriented individual with a strong background in biotechnology, bioengineering, or a related field. You should have a good understanding of aseptic techniques, cell culture, and bioanalysis. Additionally, you should be familiar with technical equipment and have experience with data analysis and interpretation.

As a member of our team, you will have the opportunity to work on exciting projects, collaborate with experienced professionals, and contribute to the development of new products and technologies. We offer a dynamic and inclusive work environment, competitive compensation, and opportunities for professional growth and development.

If you are interested in this opportunity, please submit your application, including your resume, cover letter, and transcript.

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This position involves active participation in the daily project and operational tasks within the CGT manufacturing facilities. Primarily focused on on-the-floor Quality Operations, the SME is responsible for enhancing the team's understanding of Cell and Gene Therapy quality requirements.

The individual in this role must possess the ability to work independently, demonstrating excellent judgment and the capability to effectively engage with a diverse range of key stakeholders.

Responsibilities:

• Fully own the Quality Operational tasks required to ensure compliant and safe execution of CGT operational activities in the CGT MOD facility.
• Oversee quality assurance processes for CGT products from development to commercial launch.
• Engage with cross-functional teams to ensure compliance with Global Processes and Regulatory standards.
• Manage risks associated with CGT product development and manufacturing, including finding risk-based and phase-appropriate solutions when issues arise.
• Foster a culture of open communication and collaboration among team members and stakeholders, with an aptitude to being able to have tough conversations when Quality decisions may not be favored across stakeholder groups.
• Provide coaching and mentorship to team members, promoting their professional growth and ensuring alignment to the Quality decisions made.
• Develop and implement strategies to improve quality assurance practices.

Quality Assurance Oversight:

• Ensure compliance with regulatory requirements (GxP, ATMP) and internal quality standards throughout the product lifecycle.
• Act as a quality advocate between development, manufacturing, supply chain, and regulatory affairs.
• Provide risk-based solutions to issues that arise to ensure compliance to phase-appropriate Quality requirements, while also ensuring the flexibility to continue with process knowledge and development.
• Implement advanced risk management strategies, including conducting investigations (e.g., FMEA) and managing risk profiles associated with CGT products.
• Identify and mitigate potential risks related to quality assurance processes.
• Implement global CGT program elements into local procedures to ensure compliance to CGT program expectations.
• Analyze past performance to prevent recurrence of issues and improve future outcomes.
• Promote a culture of continuous learning and improvement within the quality assurance team.
• Engage directly in daily quality assurance activities and provide hands-on support to team members as needed.
• Maintain a practical mindset when addressing unforeseen problems and developing solutions.

Regulatory Knowledge and Support:

• Ensure all documentation and processes are aligned with regulatory standards and best practices.
• Collaborate with Regulatory stakeholders to support the Regulatory filing and documentation needs.

Communication and Collaboration:

• Actively participate as the Quality point of contact for projects by ensuring timely completion of tasks and deliverables.
• Coordinate cross-functional teams to address quality-related challenges and ensure alignment with project goals.
• Ensure timely communication of project milestone deliverables when at risk.
• Foster open communication and collaboration among team members and stakeholders, encouraging discussion and input during meetings.
• Communicate effectively with regulatory agencies and internal teams to ensure clarity on quality expectations.

Requirements:

• Experience with CGT Products: Trackable experience in CGT Quality Assurance and familiarity with manufacturing processes and release criteria for CGT products.
• Practical Mindset in ATMP Advancement: The candidate should have a hands-on approach to advancing Advanced Therapy Medicinal Products (ATMPs) with a focus on practical solutions.
• Project Management Skills: Strong project management capabilities to handle both tactical and strategic elements of the role.
• Flexibility and Agility: The ability to adapt to changing environments and pivot strategies as necessary.

Preferred Qualifications:

• Degree in Life Sciences, Engineering, or a related field is preferred.
• Advanced degrees (Master's or PhD).
• Proven track record in Quality Assurance specifically within Cell and Gene Therapy (CGT) or Advanced Therapy Medicinal Products (ATMP).
• Experience with both late-stage development and marketed CGT products.
• Strong background in Quality Management Systems (QMS) and experience with quality audits.
• Knowledge of critical quality attributes and process parameters relevant to CGT products.
• Experience with advanced risk management techniques, including FMEA (Failure Mode and Effects Analysis).
• Ability to manage risk effectively throughout the product lifecycle.
• Experience in managing timelines and deliverables related to quality assurance.
• Excellent verbal and written communication skills to interact with various stakeholders, including regulatory agencies.
• Ability to communicate complex information clearly and effectively across different teams and cultures.
• Strong interpersonal skills to foster collaboration and act as a quality advocate among development, manufacturing, and regulatory teams.
• Ability to build relationships and work cross-functionally within an organization.
• Ability to adapt to changing regulatory and operational environments.
• Flexibility in adjusting strategies and approaches based on evolving needs and priorities.

This is an Onsite position at our site in Berkeley, CA. Employees can expect to be paid a salary between $123,760.00 - $185,640.00. Additional compensation may include a bonus or commission (if relevant). Additional benefits include healthcare, vision, dental, retirement, PTO, sick leave, etc.

This salary range is merely an estimate and may vary based on an applicant’s location, market data/ranges, skills, prior relevant experience, certain degrees and certifications, and other relevant factors.

This posting will be available for application until at least 04/23/2026.

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This role exists to bridge the gap between "getting data" and "engineering data," moving us from manual syncs to a fully automated ecosystem. By building custom pipelines and implementing a robust orchestration layer, you will directly enable our Operations teams and leadership to transition from basic reporting to sophisticated, AI-ready data products.

Your primary focus will be on Infrastructure-as-Code, orchestration, and building a resilient "plumbing" system that serves as the backbone for our entire Product and GTM strategy.

Your 12-Month Journey During the first 3 months: you will learn about our existing stack (GCP, BigQuery, Airbyte, dbt) and understand the current pain points in our data flow. You will identify and execute "low-hanging fruit" improvements to our product usage analytics, providing immediate value to the Product and GTM teams. You’ll begin designing the blueprint for our custom data pipelines and the migration strategy for moving our infrastructure into Terraform.

Within 6 months: You will have deployed our new orchestration layer (e.g., Airflow or Dagster) and successfully transitioned our first set of custom pipelines to production. Collaborating with the Analytics Engineer, you will enable a unified view of our customer journey by successfully merging product usage data with CRM and billing data. At this point, a significant portion of our data infrastructure will be defined as code, reducing manual overhead and increasing deployment reliability.

After 1 year: you will take full strategic ownership of the data platform and its long-term architecture. You will act as the go-to technical expert for the leadership team, advising on the scalability of new data-driven features. You will lay the groundwork for AI and Machine Learning initiatives by ensuring our data warehouse has the right quality controls, governance, and low-latency access patterns in place.

What You’ll Be Doing Architect Scalable Infrastructure-as-Code: Take our existing foundations to the next level by migrating all GCP and BigQuery resources into Terraform. You will establish automated CI/CD patterns to ensure our entire data environment is reproducible, version-controlled, and enterprise-ready.

Deploy State-of-the-Art Pipelines: Design, deploy, and operate high-quality production ELT pipelines. You will implement a modern orchestration layer (e.g., Airflow or Dagster) to build custom Python-based integrations while maintaining and optimizing our existing syncs.

Champion Data Quality & Performance: Act as the guardian of our data platform. You will implement rigorous testing and monitoring protocols to ensure data is accurate and timely. You will proactively identify BigQuery bottlenecks, optimizing query performance and resource utilization.

Technical Roadmap & Ownership: scope and architect end-to-end data flows from production source to warehouse. Manage your own technical backlog, prioritizing infrastructure stability over technical debt. You will ensure platform security and SOC2 compliance through PII masking, data contracts, and robust access controls.

Collaboration: You will work in a tight loop with the Analytics Engineer to turn raw data into actionable products. You will partner daily with DataOps and RevOps to understand business requirements, with occasional strategic syncs with DevOps and R&D to align on production schema changes and global infrastructure standards.

What You Bring Solid experience in Data Engineering, with a track record of building and evolving data ingestion infrastructure in cloud environments. The Modern Data Stack: Familiarity with dbt and Airbyte/Fivetran. You understand how these tools fit into a broader ecosystem. Expertise in BigQuery (partitioning, clustering, IAM) and the broader GCP ecosystem; Infrastructure-as-Code (Terraform). Hands-on experience with Airflow, Dagster, or similar orchestration tools. You know how to design DAGs that are resilient and easy to debug. DevOps practices in the data context: familiarity with CI/CD best practices as they apply to data (data testing, automated deployments). Programming: Expert-level Python and advanced SQL. You are comfortable writing clean, testable, and modular code. Comfortable in a fast-paced environment Project management skills: capable of managing stakeholders, explaining complicated technical trade-offs to non-technical users, and taking care of own project scoping and backlog management. Fluency in English, both written and spoken, at a minimum C1 level

What We Offer Flexibility to work from home in the Netherlands and from our beautiful canal-side office in Amsterdam A chance to be part of and shape one of the most ambitious scale-ups in Europe Work in a diverse and multicultural team €1,500 annual training budget plus internal training Pension plan, travel reimbursement, and wellness perks 28 paid holiday days + 2 additional days to relax in 2026 Work from anywhere for 4 weeks/year An inclusive and international work environment with a whole lot of fun thrown in! Apple MacBook and tools €200 Home Office budget

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Requirements include a Master's degree in Chemical Engineering or a closely-related field and 6 years of experience in agricultural chemical manufacturing facility process engineering roles. You should have a strong background in developing and presenting project scope, cost estimates, budget, and schedule for capital manufacturing projects, as well as reviewing R&D technology research reports to provide input related to manufacturing scale-up.

Additional responsibilities include adhering to RCRA hazardous waste regulations, determinations, storage, and codes, including communicating spills and leaks, investigating and identifying corrective actions, and implementing preventative procedures to prevent future occurrences. You will also create and maintain plant operation SOPs, including process descriptions, material and energy balances, P&IDs, operating data collection and retrieval, and PSIs.

As a Principal Production Engineer, you will develop and implement asset reliability and process improvements in collaboration with cross-functional teams across manufacturing sites, track and manage manufacturing yield and TPRs using heat and material balances to find solutions to manage cost within budget, and lead environmental reporting, digital control system development, and safety management.

You will also apply Six Sigma methodologies for manufacturing process analysis to provide appropriate engineering solutions, use Aspen Plus, Minitab, and Pipe-FLO process modeling software to perform equipment design for instance pump sizing, heat exchanger, and reactor design calculations, and utilize DeltaV to support manufacturing facility design and optimization.

Up to 10% U.S. and/or international travel is required.

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As an HSBC employee in the UK, you will have access to tailored professional development opportunities and a competitive pay and benefits package. This includes private healthcare for all UK-based employees, enhanced maternity and adoption pay and support when you return to work, and a contributory pension scheme with a generous employer contribution.

In this role, you'll:

Work on the operation and maintenance of complex engineering systems, ensuring that work is completed to the acceptable standards within the agreed timescales and with no disruption to IT Services along with resolving operational issues ensuring the integrity of the infrastructure is maintained in support of IT Services.

Implement effective emergency operating procedures to ensure system recovery is achieved with minimum impact to services, escalating and raising awareness as appropriate.

Schedule and manage the planned, preventative, and reactive maintenance of engineering systems and infrastructure, whilst ensuring work is completed within agreed timescales and to expected quality.

Support the other dimensions of the role include the scheduling and execution of all required infrastructure installations required to support IT Hardware and Equipment.

Improve service quality, by continuously reviewing and enhancing methods of operation and maintenance, effectively utilising tools and system employed with the Group Data Centre.

Ensure current Health & Safety legislation and statutory requirements are met by implementing and developing safe working standards and procedures within the department.

To be successful in this role, you should meet the following requirements:

Acquired a range of technical skills and experience within an engineering Data Centre environment.

A track record of gaining an understanding of customers' needs and delivering excellent customer service with a flexible and adaptable approach to change and will support others to respond in a similar way.

Experience of supporting others performance, enabling them to achieve by providing clear direction, motivation and support.

Experience of making prompt and practical business decision, even in times of ambiguity, considering various perspectives and taking responsibility for outcome.

Experience of working complex systems.

Experience of Power (HV & LV systems) Drups and UPS Systems, Air Conditioning & water systems.

NVQ IV BTEC HNC or equivalent qualification in Electrical / Mechanical Engineering would be ideal.

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Key responsibilities include creating short-range mine plans, working closely with on-site mining contractors and plant staff, identifying and implementing projects to reduce production costs and enhance safety, and developing digital designs and schedules incorporating best practices and cost control.

The successful candidate will possess a Bachelor's degree in Mining Engineering or a closely related field, expertise in hydraulic analysis and pump system design, and proficiency with computerized mine applications, including industry-standard mine planning software, AutoCAD, and Microsoft Office Suite.

We offer a competitive salary range of $90,400.00 - $135,600.00, additional compensation may include a bonus or commission, and a range of benefits including health care, vision, dental, retirement, PTO, and sick leave.

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Your primary responsibilities will include fostering collaboration in a flat network of autonomous entrepreneurial squads, adding value by guiding Unit and squad development, driving a culture of innovation, and serving as an escalation point for task and project prioritization, problem solving, continuous improvement, and conflict resolution.

You will also optimize squad members' performance, development, and empowerment through DSO principles, collaborate with internal and external networks to secure the support and resources needed for Unit success, and facilitate the co-creation of a shared vision and higher purpose that resonates with customers.

We seek an incumbent who possesses a Bachelor's degree in agriculture, an engineering discipline, Supply Chain Management, or a similar field with a minimum of 5 years of applicable experience, or a High School Diploma or GED with 8 years of applicable experience.

Additional qualifications include basic user knowledge of standard computer programs, a valid driver's license, and the ability to pass a pre-employment physical. Preferred qualifications include 5+ years' experience in managing and developing teams, leadership experience in manufacturing, supply chain, or the agriculture industry, and skill in leading, managing conflict, and negotiating with cross-functional teams.

This position is eligible for domestic relocation assistance and offers a competitive salary range of $97,760.00 - $146,640.00, plus additional compensation including a bonus or commission, and other benefits such as health care, vision, dental, retirement, PTO, and sick leave.

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Your primary responsibilities will be to:

• Guide the development of highly connected data systems that enable data-driven, model-based analytics to improve pipeline effectiveness and efficiency;
• Work with multifunctional teams to enable data connectivity across the editing pipeline, integrating information from lab, greenhouse, and field operations;
• Collaborate with partner teams across Crop Science (Gene Editing, IT Enterprise, Data and Engineering) to automate decision making and improve operational efficiency to accelerate development of gene-edited products;
• Serve as a key communicator translating business data knowledge and operational workflows into clear technical implementation plans for data scientists, data engineers, and developers;
• Demonstrate autonomy in building relationships and networks within your unit and across functions, most often with members of the Crop Genome Editing team and closely aligned partner teams;
• Act as a consultant to leadership and colleagues on digital strategy and data-driven operations through clear, organized, and influential communication;
• Actively build your own acumen in biology, genome design, and digital operations while sharing best practices and learnings with the broader Biology and Genome Design community.

We seek an incumbent who possesses the following qualifications:

• PhD in Computational Biology, Computer Science and Engineering, or another relevant scientific field with a minimum of 6 years of relevant experience, or MS with 10+ years of relevant experience;
• Demonstrated track record developing data systems and pipelines that enable efficient product delivery and operational modeling;
• Demonstrated experience working collaboratively in cross-functional and cross-cultural teams to achieve common goals;
• Demonstrated experience leading and influencing activities of cross-functional teams without direct reporting relationships;
• Ability to lead and influence key stakeholders through challenges and opportunities and to facilitate solutions.

Preferred qualifications include experience building data pipelines as a ML DevOps Engineer or Data Engineer, experience with Operations Research, and experience analyzing large biological datasets and developing analytical pipelines using Python, R, or similar software and languages.

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Your primary responsibilities will include fostering collaboration in a flat network of autonomous entrepreneurial squads, adding value by supporting Unit and squad development, driving a culture of innovation, and serving as an escalation point for task and project prioritization, problem solving, continuous improvement, and conflict resolution.

To be successful in this role, you will need to have a BS in agriculture, an engineering discipline, Supply Chain Management, or a similar field with a minimum of 5 years of applicable experience, or a High School Diploma or equivalent with 8 years of applicable experience. You will also need to have basic user knowledge of standard computer programs, a valid driver's license, and the ability to pass a pre-employment physical.

In addition to the required qualifications, preferred qualifications include 5+ years' experience in managing and developing teams, leadership experience in manufacturing, supply chain, or the agriculture industry, and skill in leading, managing conflict, and negotiating with cross-functional teams.

If you meet the requirements of this unique opportunity, and want to impact our mission Health for all, Hunger for none, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer.

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We are currently seeking an experienced professional to lead our software engineering team and drive practical improvement initiatives to address SDLC bottlenecks, inefficiencies, and friction points across teams.

Key responsibilities include:

• Partnering with Engineering, Platform, and Risk and Control stakeholders to improve delivery flow, change quality, stability, resiliency, and operational effectiveness.
• Defining and driving the adoption of DORA, SPACE, and broader engineering metrics to create visibility, support prioritisation, and improve performance outcomes.
• Establishing and maintaining automated reporting to provide clear views of current performance, root-cause analysis, trends, and recommended actions.
• Leading engineering and operational automation initiatives across areas such as testing, deployment, patching, recovery, and health checks.
• Creating and maintaining a central engineering knowledge space and operating cadence to support governance, transparency, and continuous improvement.

To be successful, you will have 12+ years of engineering experience across the full software delivery lifecycle, with strong engineering leadership capability and hands-on experience in coding.

You will also bring proven experience across engineering excellence, DevOps, platform engineering, SRE, or software delivery improvement roles, and demonstrate strong ability to identify SDLC bottlenecks, prioritise improvement opportunities, and convert insight into practical cross-team action.

Additional requirements include:

• Strong understanding of DORA metrics and good knowledge of SPACE or broader engineering productivity and developer experience measures.
• Solid knowledge of software development, testing, release management, incident management, service recovery, and operational resilience practices.
• Experience leading automation initiatives across testing, deployment, patching, recovery, and operational health checks.
• An AI-driven mindset, with the ability to identify practical opportunities to use AI to improve engineering efficiency, analysis, decision-making, and delivery effectiveness.
• Excellent analytical, communication, problem-solving, and delivery leadership skills.

You’ll achieve more when you join HSBC.

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You'll work with a large and rich dataset, modern tooling, and teammates who care deeply about impact, collaboration, and learning together. This role is based in Munich with 3 office days per week.

As a Senior Data Scientist, you'll take ownership of complex pricing and forecasting models and help us turn analytical ideas into real-world impact for hosts and Holidu. You will:

• Translate business questions into scientific, testable models and clear recommendations.
• Design, build and own machine learning, forecasting and predictive models for revenue management topics such as demand forecasting, price sensitivity, and conversion probability.
• Explore and develop dynamic pricing strategies (e.g. weekend pricing, early discounts, regional similarities) using data and experimentation.
• Collaborate closely with Data Analysts and Data Engineers to define datasets, features, and model requirements.
• Drive discussions around model choice, assumptions, and trade-offs, always keeping business impact in mind.
• Monitor model performance, iterate on results, and continuously improve accuracy and relevance.
• Act as a senior sparring partner in the team, sharing knowledge and raising the bar for data science practices.

You'll have 5+ years of experience as a Data Scientist, solving a variety of different business problems. You'll have a strong background in statistics, forecasting, and machine learning. You'll be hands-on with Python and SQL, and confident working with large datasets. You'll have a strong interest in pricing, revenue optimization, or marketplace dynamics (prior revenue management experience is a plus, not a must).

You'll be a self-starter: proactive, hungry to learn, and eager to make an impact. You'll be able to communicate complex ideas clearly and collaborate with technical and non-technical partners.

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Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows.

Key Responsibilities:

• Recruit a high-performing engineering team.
• Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of engineers working on Generative AI projects.
• Collaborating with cross-functional teams to define, design, and execute strategic roadmap.
• Work directly with customers to understand their problems and translate those into features in Scale’s platform.
• Be open to ~25% travel or relocation to a key customer geographic location.
• Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments.
• Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back.
• Deploy and maintain Scale software at customer sites
• Develop customer requested features and work closely with them to ensure that they win customer love.
• Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions.
• Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.

Requirements:

• 5+ years of full-time engineering experience, post-graduation
• 2+ years of prior engineering management or equivalent experience and has managed an engineering team.
• Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles.
• Prior experience developing with Python and JavaScript, or other modern software languages. Familiarity with Node and React is a plus.
• Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus
• Linux experience: Understanding of shell scripting, operating systems, etc
• Networking experience: Understanding of networking technologies, configuration (ports, protocols, etc)
• Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles
• Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles
• Understand unique DoD and USG constraints when it comes to technology

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

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This role offers a rare opportunity to make a meaningful impact at the intersection of AI and national security. You will help build Generative AI data-labeling pipelines from the ground up, create operational processes to manage and optimize an in-house expert data workforce, and develop novel technology-driven approaches (e.g., scripts, prompt engineering, hybrid data) to improve the quality of our training and evaluation datasets.

Responsibilities:

• Develop, build, and maintain the infrastructure required to ensure data pipelines are efficient, scalable, and produce high-quality outputs
• Take ownership of day-to-day progress on high-priority data production pipelines, ensuring projects move forward efficiently
• Partner with subject matter experts in their fields to validate the quality of our data and to translate deep domain knowledge into scalable processes and measurable outcomes
• Work closely with customers to understand their requirements and design data taxonomies that optimize model performance
• Utilize analytics and data visualization tools to track progress, identify bottlenecks, and make data-driven decisions to optimize pipeline performance
• Influence cross-org collaboration to define and advance human data strategy, influencing technical and non-technical stakeholders to ensure data quality, scalability, and long-term platform leverage
• Own larger and larger components of our data delivery processes, until you ultimately serve as the full owner of our most visible and high impact customer pipelines

You have:

• 5+ years of experience in product development, data science, or operations
• A history of successful project management and comfort in ambiguity
• Ability to analyze complex operational data, build queries, and identify trends to inform decisions and optimize processes
• Technical aptitude to understand how to produce data for state of the art post-training techniques such as supervised fine tuning (SFT), reinforcement learning through human feedback (RLHF), Reinforcement Learning with Verifiable Rewards (RLVR) etc

Nice to have:

• Experience working in defense tech and/or an AI company
• A technical degree in fields like computer science, data science, or engineering
• A deep understanding of ML operations for generative AI workflows / products
• An active Top Secret security clearance

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

The base salary range for this full-time position in the location of Washington DC is: $169,600-$212,000 USD

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Our core work consists of creating custom AI applications that will impact millions of citizens, generating high-quality training data for custom LLMs, and upskilling and advisory services to spread the impact of AI.

You will serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation.

Architect the fundamental frameworks for production-grade AI applications, setting the gold standard for how interactive UIs, backend systems, and AI models are integrated at scale to deliver reliable outcomes.

Guide the evolution of cloud infrastructure, ensuring security, global scalability, and long-term system integrity across all environments.

Direct the development of core platforms and shared services, ensuring they solve cross-cutting needs for diverse global client use cases.

Partner with cross-functional leadership to steer the technical roadmap, mentoring senior and junior staff and ensuring all products align with a cohesive, future-proof technical architecture.

Bridge the gap between the field and the core platform by turning real-world client lessons into the reusable patterns that power the entire engineering team.

Ideally, you'd have a Master's or PhD in Computer Science or equivalent deep industry experience in architecting complex, distributed systems.

10+ years of full-stack expertise across Python, Node.js, and React, with a proven track record of designing high-scale architectures on Kubernetes and global cloud infrastructures (AWS/Azure/GCP).

Expert ability to design and oversee production-grade ecosystems, ensuring world-class standards for system integrity, security, and long-term scalability.

Extensive experience deploying and troubleshooting sophisticated end-to-end solutions directly within complex, high-security client environments.

A self-driven leader capable of resolving extreme ambiguity, mentoring senior staff, and setting the technical vision for the organization.

A driver of asynchronous workflows and documentation-first cultures to streamline global engineering velocity and reduce friction.

Proficient in Arabic.

Nice to haves include past experience working at a startup as a CTO or founding engineer or in a forward deployed engineer / dedicated customer engineer role, experience working cross functionally with operations, and a proven track record of building LLM-driven solutions with the strategic foresight to anticipate landscape shifts and architect future-proof systems.

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As a hands-on contributor to the core systems that ensure the safety, reliability, and continuous improvement of LLM-powered workflows and agents for the enterprise, you will partner with Scale's Operations team and enterprise customers to translate ambiguity into structured evaluation data. This involves guiding the creation and maintenance of gold-standard human-rated datasets and expert rubrics that anchor AI evaluation systems.

Your responsibilities will also include analysing feedback and collected data to identify patterns, refine evaluation frameworks, and establish iterative improvement loops that enhance the quality and relevance of human-curated assessments. You will design, research, and develop LLM-as-a-Judge autorater frameworks and AI-assisted evaluation systems, including creating models that critique, grade, and explain agent outputs.

To succeed in this role, you will need a strong foundational knowledge of large language models, a passion for tackling complex evaluation challenges, and the ability to thrive in a dynamic, fast-paced research environment. You should be able to think outside the box, stay current with the latest literature in AI evaluation, and be passionate about integrating novel research ideas into our workflows to build best-in-class evaluation systems.

In addition to your technical expertise, you will need excellent communication and collaboration skills, as you will work closely with cross-functional teams to drive project success.

If you are a motivated and detail-oriented individual with a passion for AI research and evaluation, we encourage you to apply for this exciting opportunity.

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Our team is responsible for building and maintaining a range of software systems, including our labeling platform, fraud-detection systems, and customer service RAG application. You will have the opportunity to work on a variety of projects, from building methodical fraud-detection systems to devise advanced matching algorithms to match labelers to customers for optimal turnaround and accuracy.

We're looking for someone with a strong background in software engineering, excellent problem-solving skills, and a passion for working with AI technologies. You should be comfortable working in a fast-paced environment and be able to collaborate effectively with our team.

In this role, you will have the opportunity to work on a range of exciting projects, including:

• Building methodical fraud-detection systems to remove bad actors and keep Scale's contributor base safe and trusted.
• Using models to estimate the quality of tasks and labelers, and guarantee quality on requests at large scale.
• Devise advanced matching algorithms to match labelers to customers for optimal turnaround and accuracy.
• Build methods to automatically measure, train, and optimally match labelers to tasks based on performance.
• Create optimized and efficient UI/UX tooling, in combination with ML algorithms, for 100k+ labelers to complete billions of complex tasks.

If you're passionate about software engineering and AI, and want to be part of a dynamic team that's making a real impact, we'd love to hear from you.

Requirements:

• A graduation date in Fall 2025 or Spring 2026 with a Bachelor’s degree (or equivalent) in a relevant field (Computer Science, EECS, Computer Engineering, Statistics).
• Product engineering experience such as building web apps full-stack, integrating with relevant APIs and services, talking to customers, figuring out ‘what’ to build and then iterating.
• Previous Product/Software Engineering Internship experience.
• Track record of shipping high-quality products and features at scale.
• Experience building systems that process large volumes of data.
• Experience with Python, Typescript, React, and/or MongoDB.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

The base salary range for this full-time position in the location of San Francisco is $124,000-$155,000 USD

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You will partner with public sector clients to deeply understand their challenges and define AI-driven solutions.

Key responsibilities include:

• Building and deploying end-to-end AI applications into production leveraging latest developments from the biggest AI labs, and open source models
• Collaborating with cross-functional teams, including data annotation specialists, to create high-quality training datasets
• Designing and maintaining robust evaluation frameworks to ensure the reliability and effectiveness of AI models
• Participating in customer engagements, including occasional travel (approximately two weeks per quarter)

Ideally you'd have:

• A strong engineering background, with a Bachelor’s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)
• 7+ years of post-graduation engineering experience, with demonstrated proficiency in languages such as Python, TypeScript/JavaScript, Java, or C++
• 2+ years of experience applying AI/ML in production environments, such as deploying deep learning solutions, building generative/agentic AI applications or setting up evaluations pipelines
• Familiarity with cloud-based machine learning tools and platforms (e.g. AWS, GCP, Azure)
• Strong problem-solving skills, with a data-driven approach to iterating on machine learning models and datasets
• Excellent written and verbal communication skills to collaborate effectively in a cross-functional environment

Nice to haves:

• Experience working at a startup, particularly as founding engineer
• Experience building and deploying large-scale AI solutions
• Strong written and verbal communication skills to operate in a cross-functional team environment
• Proficiency in Arabic (if focused on language models)

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Key Responsibilities:

• Serve as the full owner of our most visible and high-impact customer pipelines, making decisions that directly impact data quality, operational efficiency, revenue, and margins
• Understand customer requirements and design data taxonomy best suited to improving model performance based on customer needs
• Build out pipeline infrastructure to ensure quality and efficiency
• Train, coach, and manage dynamic and global teams
• Build analytics to make data-driven decisions
• Partner with diverse stakeholders (Engineering + Product + Ops + Go-to-Market) to work on problems that will drive advancements for the largest LLMs in the world
• Give regular progress updates to Scale's executive team

Requirements:

• A strong technical background is required for this position. For example, a degree in Machine Learning Engineering, Computer Science, or Software Engineering
• 3+ years of experience leading a team/projects, managing operational processes, or 3+ years of experience as a SWE
• Strong problem-solving capabilities in technical environments
• Ability to come up with creative solutions to complex, ambiguous, operational, and technical problems
• Entrepreneurial experience and mindset

Compensation and Benefits: The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. You'll also receive benefits including, but not limited to: Comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.

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As a Customer Success Manager at Anthropic, you'll be the strategic partner and trusted advisor to our most complex customers across EMEA helping them harness the full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code.

You'll develop genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs.

You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey.

Responsibilities:

• Establish trust-based and strategic relationships with key decision-makers across EMEA to understand their activities and objectives, identifying opportunities for optimization and expansion

• Become an expert in Anthropic's products via API, Claude for Enterprise, and Claude Code, understanding the nuances and best practices of each to guide customers towards the right solutions

• Leverage your deep understanding of the customer and regional specifics to proactively drive usage planning, identifying current and future consumption and adoption trends, and how they translate into value-added for the customer

• Monitor usage patterns and identify opportunities for optimization, proactively addressing underutilization of product-based consumption (API) and subscription-based (Claude for Enterprise/Claude Code) to fully leverage contractual commitments

• Serve as a strategic partner to customers, enriching their knowledge of Claude through the dissemination of Anthropic's product roadmap, introducing new products, and involving product leads to act as customer advocates for the EMEA region

• Document and quantify customer value realized through commercial results, ROI, and impact indicators to form compelling internal business cases to pursue and increase investments

• Identify potential use cases and sectors not yet exploited, collaborating with customers to discover new applications for Claude within different services, teams, and workflows

• Develop and implement change management strategies to drive adoption by end-users and maximize value within customer organizations, including training programs, center of excellence development, and organizational support

• Manage the customer experience throughout their lifecycle: manage comprehensive accounts and success plans based on customer business objectives, conduct quarterly business reviews, and serve as the primary liaison between the customer and Anthropic

• Contribute to Anthropic's brand development and customer relationships as a member of the first customer success team in the region, developing processes, operational guides, and best practices tailored to the EMEA region and taking into account regional corporate cultures

About the role:

• More than 6 years of experience in customer-facing roles (Customer Success, Consulting, Solutions Architect, Solutions/Functional Consultant, Success Engineer, or similar)

• Proven experience in driving success in consumption-based and subscription-based business models, with a good understanding of growth levers and associated performance indicators

• Technical mastery and ability to understand and articulate AI/ML concepts, API integrations, and software implementation models

• Experience presenting and demonstrating technical products to diverse audiences

• Strategic mindset to identify growth opportunities and translate them into concrete expansion plans

• Collaborative and versatile individual representing the customer positively and proactively, mobilizing the entire team around solutions to meet customer needs

• Strong project management skills and ability to manage multiple customer relationships

• Passion for AI and interest in responsible development of advanced systems

• Gain experience working and contributing to a rapidly growing region, balancing time zones from the US-based headquarters

• Talent for order and enthusiasm for 'rolling up sleeves'. You have a team spirit

( Bonus ) Mastery of French, German, Spanish, or Italian

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Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you'll use to improve your product's performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you!

You will:

• Own, plan, and optimize the AI behind our Enterprise customer's deepest technical problems
• Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more
• Have experience gathering business requirements and translating them into technical solutions
• Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs
• Push production code in multiple development environments, writing and debugging code directly in both our customer's and Scale's codebases.

Ideally you'd have:

• 7+ years of full-time engineering experience, post-graduation
• A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client’s business goals
• Strong engineering background: a Bachelor’s degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background.
• Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results
• Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
• Proficiency in Python to write, test and debug code using common libraries (ie numpy, pandas)

Nice to haves:

• Strong knowledge of software engineering best practices
• Have built applications taking advantage of Generative AI in real, production use cases
• Familiarity with state of the art LLMs and their strengths/weaknesses

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You'll be hands-on: write specs, prototype solutions, dig into technical architecture with engineers, and make product calls grounded in real technical understanding. You'll design and ship AI-powered products and tooling for defense and national security workflows, working side-by-side with engineering and ML teams.

You'll use customer context to inform what you build , understand allied defense workflows deeply enough to make opinionated product decisions, not just relay requirements. You'll navigate the unique constraints of defense product development across allied nations , classification environments, accreditation processes, air-gapped deployments , or be ready to learn these fast.

Ideally, you'd have a builder mentality: you're energized by going from zero to one, not by managing from a distance. You'll have 8+ years of experience in software engineering, ML engineering, or a deeply technical product role where you were hands-on with what shipped. You'll have technical fluency: software engineering or ML background (master's degree in computer science or equivalent experience).

Please note that our policy requires a 90-day waiting period before reconsidering candidates for the same role.

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We are seeking a highly skilled Staff Software Engineer to join our Public Sector team. As a Staff Software Engineer, you will be responsible for designing and implementing software solutions for the public sector. You will work closely with cross-functional teams to develop and deploy software applications that meet the needs of government agencies.

Responsibilities:

• Design and implement software solutions for the public sector
• Work closely with cross-functional teams to develop and deploy software applications
• Collaborate with stakeholders to understand their needs and develop software solutions that meet those needs
• Develop and maintain software documentation
• Participate in code reviews and ensure that code meets quality standards

Requirements:

• Bachelor's degree in Computer Science or related field
• 5+ years of experience in software development
• Proficiency in programming languages such as Java, Python, or C++
• Experience with Agile development methodologies
• Strong understanding of software design patterns and principles
• Excellent communication and collaboration skills

Preferred Qualifications:

• Master's degree in Computer Science or related field
• 10+ years of experience in software development
• Experience with cloud-based technologies such as AWS or Azure
• Experience with DevOps practices

Benefits:

• Competitive salary and benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

Salary Range: $252,000-$362,000 USD

Required Skills:

• Full Stack Development
• Cloud-Native Technologies
• Data Engineering
• AI Application Integration
• Problem Solving
• Collaboration and Communication
• Adaptability and Learning Agility

Preferred Skills:

• Experience with modern web development frameworks
• Familiarity with cloud platforms
• Understanding of containerization and container orchestration
• Knowledge of ETL processes
• Understanding of data modeling, data warehousing, and data governance principles
• Familiarity with integrating Large Language Models

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Key Responsibilities: Lead and mentor a high-performing engineering team of 50+, fostering a culture of technical excellence and ownership. Guide your team through complex challenges involving LLMs, AI agents, and large-scale distributed systems. Represent Scale AI in high-stakes negotiations and strategic discussions with senior external partners, demonstrating strong technical competence and credibility. Develop and communicate a compelling vision for Scale AI’s technology applied to your program. Provide regular updates to senior leadership and key stakeholders on progress, risks, and opportunities. Foster a culture of speed, unity of purpose, resilience, and teamwork.

Requirements: 10+ years of software engineering experience, including 5+ years in a technical leadership or staff role. Deep understanding of modern AI/ML technologies, including experience working with LLMs and AI agents. Proficient in one or more modern programming languages (Python, JavaScript/TypeScript). Hands-on experience with Kubernetes and cloud infrastructure (AWS, GCP, or Azure). Strong product and business sense, with a track record of aligning engineering efforts with company goals. Ability to operate effectively in ambiguous, fast-changing environments and guide your team to do the same. Experience in executive level engagement with industry partners and Public Sector customers

Success Metrics: Within 6 months: Successful demonstration of agentic AI’s mission value in high-stakes customer demonstrations Establish Scale AI as the preferred agentic AI partner for the PEO Establish high velocity, agile engineering cadence both internally and with our industry partners

Within 12–18 months: Secure follow-on contract award with expanded scope for Scale Position Scale AI as the global AI leader in this mission area Establish developed solutions as Scale product offerings to deliver on future contracts

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

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You will design and ship high-precision detections across cloud services and enterprise SaaS, develop automation that shortens response timelines, and mature the telemetry pipelines that make it all possible. Your ability to write production-quality code is just as important as your ability to triage an alert.

Responsibilities:

• Engineer, test, and deploy detection logic across cloud and enterprise environments, treating detections as software with version control, peer review, and measurable performance.

• Build and maintain incident response automation, runbooks, and tooling that reduce containment timelines without sacrificing developer velocity.

• Mature telemetry pipelines through improved schema design, normalization, enrichment, and quality checks that reduce false positives and increase signal fidelity.

• Perform digital incident investigations to identify and contain potential security breaches.

• Conduct digital forensics and malware analysis to understand attack vectors and adversary methodologies.

• Integrate alerting with messaging and ticketing systems to enable fast, traceable response workflows.

• Partner cross-functionally with IT, security, and engineering teams to harden identity and access patterns, close logging and forensics gaps, and implement maintainable guardrails that scale with the organisation.

• Utilize threat intelligence platforms to improve hunting, detection, and response workflows.

• Clearly explain the significance and impact of incidents, providing actionable recommendations to both technical and non-technical stakeholders.

Ideal Candidate:

• 5+ years of experience in Detection Engineering, Incident Response, or Security Operations, with a strong emphasis on building and shipping security tooling and automation.

• Proficiency in at least one programming language (e.g., Python, Go) and comfort writing production-grade code , not just scripts.

• Hands-on experience designing or improving detection pipelines, SIEM content, and alerting workflows in cloud-native environments.

• Practical experience with SIEM, EDR, and SOAR tools, with a preference for candidates who have built integrations or extended these platforms programmatically.

• Strong understanding of modern cyber threats, common attack techniques, and adversary TTPs.

• Familiarity with digital forensics tools and malware analysis techniques.

• Experience with cloud-native environments (e.g., AWS, GCP, Azure) and the security telemetry those environments generate.

• Exposure to threat intelligence platforms and integrating intel into detection and investigation workflows.

• Strong communication skills, with the ability to translate complex security findings into clear business impact.

• Relevant security certifications (e.g., GCIH, GCFA, GCIA, CISSP, GDSA) are a plus.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

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Anthropic exists to ensure the world safely navigates the transition through transformative AI. That work is funded by commercial revenue , and that revenue runs through Billing Platform. The Product Monetization team builds the on-rails that let every product team at Anthropic , Claude.ai, the Developer Platform, Claude Code , monetize features and convert users into paying customers without becoming billing experts themselves.

We're looking for an Engineering Manager to lead this team. You'll own the platform layer where product meets revenue: the integration contracts product teams plug into, the constructs that let the business run pricing experiments, the self-serve and promotional capabilities Growth builds on, and the payment methods that open up global markets.

Responsibilities

• Lead and grow a team of engineers building the revenue-enablement platform , hiring, coaching, and setting a high technical bar.
• Build the on-rails: clean billing API abstractions and integration contracts so product teams can onboard and launch paid SKUs seamlessly, without billing logic leaking into their stack.
• Define and own the platform's reliability bar , tiered SLOs and SLAs organized by customer impact: error budgets on the "can the customer do the thing" flows, quality targets on everything else.
• Build the platform constructs that let the business run pricing experiments and iterate on monetization models with real data.
• Partner closely with Growth , own the promotional, trial, and self-serve billing platform they build campaigns on top of. Your team owns the platform; Growth owns the campaigns.
• Expand payment method coverage globally, driving up authorization rates and conversion in markets where default card flows underperform.
• Ship new monetization models that keep pace with how the product portfolio evolves.
• Drive down time-to-market for new SKUs and product launches , the team's core input is "product team needs to charge for X," and your job is to make that fast.

Requirements

• Have 3+ years of engineering management experience, with 8+ years total in the industry.
• Have led teams building payments, billing, subscription, or monetization systems , and know firsthand how a small pricing change ripples through the whole stack.
• Have strong opinions about platform boundaries and API design.
• Are good at cross-functional work , Growth, Legal, Customer Support, Safeguards, and product teams will all have opinions and you need to keep them aligned.

Nice to haves

• Direct experience with modern billing and payment platforms , and opinions on when to build vs. buy.
• Built or scaled local payment method adoption for international markets.
• Run a promotional/offers platform that fed directly into growth or subscription conversion funnels.
• Experience in a PLG or self-serve SaaS environment where billing UX is a conversion lever, not an afterthought.
• Managed teams through regulatory or compliance-heavy work (consumer financial terms, tax, etc.).

Benefits

The annual compensation range for this role is $405,000-$485,000 USD.

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

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At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment.

As a Staff Software Engineer, you will define and drive both the architectural roadmap and implementation of core platforms and software systems. You will be responsible for providing high-level vision and driving adoption across the engineering org for orchestration, data abstraction, data pipelines, identity & access management, and underlying cloud infrastructure.

Impact and Responsibilities:

• Architectural Vision: You will drive the design and implementation of foundational systems, acting as a bridge between high-level business goals and technical goals.

• Cross-Functional Leadership: You will collaborate with cross-functional teams to define and drive adoption of the next generation of features for our AI data infrastructure.

• Technical Ownership: You are responsible for proactively identifying and driving opportunities for organizational growth, driving improvements in programming practices, and upgrading the tools that define our development lifecycle.

• Technical Mentorship: You will serve as a subject matter expert, presenting technical information to stakeholders and providing the guidance to elevate the engineering culture across the company.

Ideally you’d have:

• 8+ years of full-time engineering experience, post-graduation with specialities in back-end systems.

• Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred).

• Demonstrated a track record of independent ownership and leadership across successful multi-team engineering projects.

• Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.

• Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc.

• Experience with orchestration platforms, such as Temporal and AWS Step Functions.

• Experience with NoSQL document databases (MongoDB) and structured databases (Postgres).

• Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, ArgoCD).

Nice to haves:

• Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt).

• Experience scaling products at hyper-growth startups.

• Excitement to work with AI technologies.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $252,000-$315,000 USD

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Key responsibilities include: Partner with Scale AEs on the customer journey, delivering tailored demos and prototypes according to the customer's requirements. Develop technical domain expertise in Generative AI / large language model applications for Enterprise use cases, including customers in financial services, insurance, SaaS, and similar enterprises. Be accountable for securing the 'technical win' by unblocking technical challenges Interact with customers daily to understand their needs and design solutions to better serve them. Design and develop 'Scopes of Work' by breaking down customer challenges into a project plan Work closely with forward-deployed Software and Machine learning Engineers to develop agents in the initial post-sales stage Work with AEs and PMs to identify customer-specific feature requests. Drive strategic initiatives to improve the efficiency and effectiveness of the Solution Engineering team.

Ideal candidate will have: Strong engineering background with prior experience working with clients in a pre or post-sales capacity to realise business goals. Prior experience developing with Python, Java and/or other web development languages. Experience working in enterprise SaaS, cloud tech, finance, fintech or similar industries in a technical capacity with end-customer engagement. A track record as a self-starter, motivated to independently unblock technical issues in the field with the customer, away from the mothership. Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers. High level of comfort communicating effectively across internal and external organisations. Intellectual curiosity, empathy, and ability to operate with high velocity.

Nice to have: GenAI Experience Forward deployed engineering experience Machine Learning Experience

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We're building the infrastructure that lets people talk to Claude,real-time, bidirectional voice conversations that feel natural, responsive, and safe. This is foundational work for how millions of people will interact with AI.

The Voice Platform team designs and operates the serving systems, streaming pipelines, and APIs that bring Anthropic's audio models from research into production across Claude.ai, our mobile apps, and the Anthropic API. You'll work at the intersection of real-time media, low-latency inference, and distributed systems,building infrastructure where every millisecond of latency is felt by the user.

We partner closely with the Audio research team, who train the speech understanding and generation models, and with product teams shipping voice experiences to users. Your job is to make those models fast, reliable, and delightful to talk to at scale.

Responsibilities

• Design and build the real-time streaming infrastructure that powers voice conversations with Claude,ingesting microphone audio, orchestrating model inference, and streaming synthesized speech back with minimal latency

• Build low-latency serving systems for speech models, optimizing time-to-first-audio and end-to-end conversational responsiveness

• Develop the public and internal APIs that expose voice capabilities to Claude.ai, mobile clients, and third-party developers

• Own the audio transport layer,codecs, jitter buffers, adaptive bitrate, packet loss recovery,so conversations stay smooth across unreliable networks

• Build observability and quality-measurement systems for voice: latency distributions, audio quality metrics, interruption handling, and turn-taking accuracy

• Partner with Audio research to move new model architectures from experiment to production, and feed real-world performance data back into research

• Collaborate with mobile and product engineering on client-side audio capture, playback, and the end-to-end user experience

You may be a good fit if you

• Have 6+ years of experience building distributed systems, real-time infrastructure, or platform services at scale

• Have shipped production systems where latency is measured in tens of milliseconds and users notice when you miss

• Are comfortable working across the stack,from transport protocols and serving infrastructure up to the APIs product teams build on

• Are results-oriented, with a bias toward flexibility and impact

• Pick up slack, even if it goes outside your job description

• Enjoy pair programming (we love to pair!)

• Care about the societal impacts of voice AI and want to help shape how these systems are developed responsibly

• Are comfortable with ambiguity,voice is a fast-moving space, and you'll help define the architecture as we learn what works

Strong candidates may also have experience with

• Real-time media protocols and stacks: WebRTC, RTP, gRPC bidirectional streaming, or WebSockets at scale

• Audio engineering fundamentals: codecs (Opus, AAC), voice activity detection, echo cancellation, jitter buffering, or audio DSP

• Low-latency ML inference serving, streaming model outputs, or GPU-based serving infrastructure

• Telephony, live streaming, video conferencing, or voice assistant platforms

• Mobile audio pipelines on iOS (AVAudioEngine, AudioUnits) or Android (Oboe, AAudio)

• Working alongside ML researchers to productionize models,speech experience is a plus but not required

Representative projects

• Driving time-to-first-audio below human perceptual thresholds by co-designing the serving pipeline with the Audio research team

• Building a streaming inference orchestrator that interleaves speech recognition, LLM reasoning, and speech synthesis with overlapping execution

• Designing the voice mode API surface for the Anthropic API so developers can build their own voice agents on Claude

• Implementing graceful barge-in and interruption handling so users can cut Claude off mid-sentence naturally

• Instrumenting end-to-end audio quality metrics and building dashboards that catch regressions before users do

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You will be accountable for securing the “technical win” by unblocking technical challenges. You will interact with customers daily to understand their needs and design solutions to better serve them. You will design and develop “Scopes of Work” by breaking down customer challenges into a project plan. You will work closely with forward-deployed Software and Machine learning Engineers to develop agents in the initial post-sales stage. You will work with Account Executives and Project Managers to identify customer-specific feature requests. You will drive strategic initiatives to improve the efficiency and effectiveness of the Solution Engineering team.

Ideally, you'd have a strong engineering background with prior experience working with clients in a pre or post-sales capacity to realise business goals. You should have prior experience developing with Python, Java and/or other web development languages. You should have experience working in enterprise SaaS, cloud tech, finance, fintech or similar industries in a technical capacity with end-customer engagement. You should have a track record as a self-starter, motivated to independently unblock technical issues in the field with the customer, away from the mothership. You should have presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers. You should have a high level of comfort communicating effectively across internal and external organisations. You should have intellectual curiosity, empathy, and ability to operate with high velocity.

Nice to haves include GenAI Experience, Forward deployed engineering experience, and Machine Learning Experience.

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As a Solutions Engineer, you will be part of helping shape our early-stage federal business by re-envisioning our commercial product offerings for our federal clients.

Key responsibilities include:

• Becoming an expert on the end-to-end of Scale Products
• Creating tailored demonstrations and collateral for federal stakeholders at both the executive and analyst level
• Partnering with Scale Account Executives to deliver customer pilots according to requirements agreed by the customer
• Integrating and ingesting a variety of external datasets to solve government use cases
• Interacting with customers on a day-to-day basis to understand their pain points and design solutions
• Working with internal product and engineering teams to turn customer requirements into Scale capabilities
• Understanding public sector mission sets and strategic objectives to better showcase Scale's products

Ideal candidates will have:

• A strong engineering background, preferably in computer science, mathematics, or other quantitative fields
• Strong communication skills, ability to interact with both technical and non-technical customers at all levels
• At ease with technology, able to quickly pick up new tech stacks and troubleshoot
• Previous experience working with Public Sector customers
• Proficiency in scripting languages such as Python, Javascript/Typescript, Bash scripts, or programming languages
• A strong desire to roll up your sleeves and help build a business in an extremely fast-paced environment
• Active US Government Security Clearance (TS / SCI required)
• Based in the Washington, DC area or willing to relocate
• Background working in AI/ML, particularly Generative AI and Large Language Models

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

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This is not a traditional analytics role. On this team, data scientists do the core statistical and modeling work, but they also build real tools and products: evaluation explorers, operator workflows, decision-support systems, experimentation surfaces, and customer-specific AI/data applications that get used in production.

The right candidate is strong in first-principles problem solving, rigorous measurement, and technical execution. They know how to define metrics, design experiments, diagnose failures, and build systems that people actually use. They are also comfortable using modern AI-assisted development tools to prototype and iterate quickly without sacrificing reliability, observability, or judgment. Python and SQL matter in this role, but as execution fluency in service of building better products and making better decisions.

Responsibilities: Partner directly with enterprise customers to understand workflows, operational pain points, constraints, and success criteria Turn ambiguous business and product problems into measurable solutions with clear metrics, technical designs, and deployment plans Design and build internal and customer-facing data products, including evaluation tools, workflow applications, decision-support systems, and thin product layers on top of data/ML systems Build end-to-end solutions across data ingestion, transformation, experimentation, statistical modeling, deployment, monitoring, and iteration Design evaluation frameworks, benchmarks, and feedback loops for ML/LLM systems, human-in-the-loop workflows, and model-assisted operations Apply rigorous statistical thinking to experimentation, causal inference, metric design, forecasting, segmentation, diagnostics, and performance measurement Use AI-assisted development workflows to accelerate prototyping and product iteration, while maintaining strong engineering discipline Diagnose failure modes across data quality, model behavior, retrieval, workflow design, and user experience, and drive fixes into production Act as the voice of the customer to Product, Engineering, and Data Science, using field learnings to shape roadmap and platform capabilities

Requirements: 5+ years of experience in data science, machine learning, quantitative engineering, or another highly analytical technical role Proven track record of shipping data, ML, or AI systems that delivered measurable business or product impact Exceptional ability to structure ambiguous problems, define the right success metrics, and translate them into executable technical plans Strong foundation in statistics, experimentation, causal reasoning, and measurement Experience building tools or products, not just analyses , for example internal workflow tools, evaluation systems, operator-facing products, experimentation platforms, or customer-specific applications Hands-on fluency in Python, SQL, and modern data/AI tooling; able to inspect data, prototype quickly, debug deeply, and productionize solutions that work Comfort using AI-assisted coding and development workflows to move from idea to usable product quickly Strong communication and stakeholder management skills; able to work effectively with customers, engineers, product teams, and executives High ownership and bias toward shipping in fast-moving environments with incomplete information

Preferred qualifications: Experience in a forward deployed, solutions, consulting, or other client-facing technical role Experience designing evaluation frameworks for LLMs, retrieval systems, agentic workflows, or other AI-enabled products Experience with large-scale data processing and distributed systems such as Spark, Ray, or Airflow Experience with cloud infrastructure and modern data platforms such as AWS, GCP, Snowflake, or BigQuery Experience building lightweight applications, APIs, internal tools, or workflow software on top of data/ML systems Familiarity with marketplace experimentation, causal inference, forecasting, optimization, or advanced statistical modeling Strong product instinct and the judgment to know when the right answer is a model, an experiment, a tool, or a workflow redesign

What success looks like: Success in this role means taking a messy, high-stakes customer problem and turning it into a deployed system that is actually used. Sometimes that system is a model. Sometimes it is an evaluation framework. Sometimes it is an operator-facing tool or a lightweight data product that changes how decisions get made. In all cases, success is defined by measurable impact, rigorous evaluation, and reliable execution.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Salary Range: $167,200-$209,000 USD

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This role sits at the intersection of product thinking and full-stack engineering. You'll work directly with researchers and engineers to deeply understand their workflows, identify bottlenecks, and rapidly ship solutions that multiply their productivity. Whether you're building human feedback interfaces for model evaluation, creating platforms for experiment orchestration, or developing novel visualization tools for understanding model behavior, your work will directly accelerate our mission to build safe, reliable AI systems.

We're looking for someone who can operate with high agency in an ambiguous environment,someone who can be dropped into a research team, quickly develop domain expertise, and independently drive impactful projects from conception to delivery.

Responsibilities:

• Build and maintain full-stack applications and infrastructure that researchers use daily to conduct experiments, collect feedback, and analyze results
• Partner closely with research teams to understand their workflows, pain points, and requirements, translating these into technical solutions
• Design intuitive interfaces and abstractions that make complex research tasks accessible and efficient
• Create reusable platforms and tools that accelerate the development of new research applications
• Rapidly prototype and iterate on solutions, gathering feedback from users and refining based on real-world usage
• Take ownership of complete product areas, from understanding user needs through design, implementation, and ongoing iteration
• Contribute to technical strategy and architectural decisions for research tooling
• Mentor other engineers and help establish best practices for research application development

Requirements:

• 5+ years of software engineering experience with a strong focus on full-stack development
• Excel at rapid iteration and shipping,you can move from concept to working prototype quickly
• Have experience building tools, platforms, or infrastructure for technical users (engineers, researchers, data scientists, analysts, etc.)
• Demonstrate high agency and ability to operate independently in ambiguous environments
• Can quickly develop deep understanding of complex technical domains
• Have strong product instincts and can identify the right problems to solve
• Are proficient with modern web technologies (React, TypeScript, Python, etc.)
• Have a track record of building user-facing applications that are actually used and loved by their target audience
• Communicate effectively with both technical and non-technical stakeholders
• Care about the societal impacts of your work and are motivated by Anthropic's mission

Strong candidates may also have:

• Experience building research tools, scientific software, or experimentation platforms
• Background in machine learning, AI research, or working closely with ML researchers
• Founded or been an early engineer at a startup, particularly one focused on developer or researcher tools
• Built open-source tools or platforms with active user communities
• Experience with data visualization, interactive interfaces, or novel interaction paradigms
• Contributed to engineering platforms or internal tooling at scale (similar to Heroku, Vercel, or other platform-as-a-service products)
• Experience leveraging AI/LLMs to build more powerful or efficient tools
• Previous work in creative tools, artist tools, or other domains requiring deep user empathy
• Domain knowledge in areas like human-computer interaction, systems safety, or AI alignment

Annual compensation range for this role is $300,000-$405,000 USD.

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