Collaborate with other technical support engineers who may need assistance working on an issue; utilize his/her area of expertise to help others in order to quickly facilitate solutions for the customer. Build and foster working relationships with trading groups with a focus on execution services team. Work with global counterparts to provide seamless 24/7 global coverage.

Trading Infrastructure / Platform Status Communications – disseminate messages to the appropriate trading staff regarding trading infrastructure / platform issues, exchange updates, etc. Uplift environment management tools to reduce risk and streamline efficiency of support team. Assist with automating processes to achieve efficiency and streamlined trade support.

Document and create new knowledge base to provide the most effective solutions to trading issues. Deployment of, support of, and monitoring of the firm’s internal trading systems. Coordinate with vendors, internal application owners, infrastructure owners, and tech support to ensure trading platforms are correctly installed, configured, and tested.

Liaise with development and infrastructure teams, prioritize tool enhancements, and coordinate and participate in software/new version releases. Liaise with Dev and Infrastructure teams to coordinate and participate in software/new version releases.

XML job scraping automation by YubHub

You will work directly with the product engineering team to develop and maintain our test tools, write and test product code, participate in design reviews to architect testable systems, and guide designs and code to enhance modularity and testability.

You are eager to understand complex systems top to bottom and thrive working across technologies and codebases. In addition, you excel at working through ambiguity, concept validation, and implementing best-in-class solutions.

A typical day will involve leveraging AI and tooling to lead the implementation of a test automation strategy, covering the entire testing pyramid (unit, service, integration, and end-to-end testing) to verify feature functionality for customer use cases.

You will lead building, maintaining, and effective utilization of automated tests, collaborating closely with engineering teams to ensure robust test coverage for features and releases, and actively participating in the continuous improvement of testing processes.

You will contribute to improving existing automation frameworks to support new functionalities and optimize quality and efficiency.

Collaboration with CI/CD team to integrate automated testing into CI/CD pipelines, ensuring thorough test coverage at every stage of development.

Demonstrate excellent troubleshooting abilities, isolate issues, and verify bug fixes.

Be a player of our high-performance team to ensure code quality, commitment to craft and operational excellence.

Drive collaboration with cross-functional teams, including product management, development, and other QE teams, in a fast-paced environment with short release cycles.

Your expertise will be demonstrated through 9+ years of industry experience in software testing and automation, demonstrable knowledge in at least one programming language (e.g., Kotlin, Java) and strong scripting skills.

Strong knowledge of test automation methodologies, tools, and frameworks, strong hands-on experience with automation frameworks (e.g., Espresso), experience integrating automated tests into CI/CD pipelines (e.g., Buildkite, Spinnaker, Jenkins) and version control systems (Git).

Excellent communication skills towards facilitating interactions with cross-functional teams, expertise developing solutions to ambiguous problems, and integrations across multiple teams with significant impact.

Bachelor’s degree in computer science/engineering or equivalent, fluency in English (reading, writing, and speaking) is essential.

XML job scraping automation by YubHub

You will play an active part in shaping product features based on what's technically possible. Furthermore, you will make sure our company hits our ambitious goals from an engineering standpoint.

You bring a passion for meeting business needs while building technically innovative solutions, and excel at shifting between the two,understanding how big-picture goals inform technical details, and vice-versa.

You thrive in a fast-paced iterative engineering environment.

Examples of desirable skills, knowledge and experience:

• A minimum of 3 years experience in software development, with a strong focus on JavaScript, TypeScript and React;
• Bachelor's degree in Computer Science, Engineering, or a related field;
• Experience with frontend frameworks and tooling;
• Good understanding of HTML, CSS and how to work with product design teams;
• Good understanding of how browsers work and their underlying technologies;
• Solid understanding of systems engineering principles and best practices;
• Experience with version control systems such as Git;
• Strong problem-solving skills and attention to detail;
• Excellent communication and interpersonal skills, with the ability to work effectively in a team environment;
• Passion for learning and exploring new technologies;
• Creative thinker with the ability to propose innovative solutions to complex problems;
• An operational mindset - we don't just write code, we also own it in production;

Bonus Points:

• Previous experience working in an Agile environment;
• Experience building high performance distributed systems;
• Understanding of the web and its underlying protocol stack, such as HTTP;
• Familiar with AI, AI agents, and related technologies and standards;
• Contributions to large open source projects.

This role may require flexibility to be on-call outside of standard working hours to address technical issues as needed.

XML job scraping automation by YubHub

Brex is a finance platform that enables companies to spend smarter and move faster in over 200 markets. It combines global corporate cards and banking with intuitive spend management, bill pay, and travel software.

Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.

Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry.

We're committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream.

We make this a reality by empowering you with the tools, resources, and support you need to grow your career.

Data at Brex

The Data organization develops insights, models, and data infrastructure for teams across Brex, including Sales, Marketing, Product, Engineering, and Operations.

Our Data Scientists, Analysts, and Engineers work together to make data,and insights derived from data,a core asset across the company.

What you'll do

As a senior Data Analyst (DA III), you will own the end-to-end analytics lifecycle for one or more business areas at Brex.

You'll go beyond building dashboards,you'll frame the right questions, design rigorous analyses, apply statistical methods, and translate your findings into clear recommendations for leadership.

You will also serve as a technical leader on the Data Analytics team, mentoring more junior analysts and helping define the standards and best practices that elevate the team's work.

This role sits at the intersection of analytics, analytics engineering, and business strategy.

You'll work in a modern data stack environment and partner closely with Data Scientists, Data Engineers, and senior leaders across the organization.

Where you'll work

This role will be based in our San Francisco office.

We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home.

We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday.

As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Own the analytics lifecycle for assigned business areas: from problem framing and data sourcing through analysis, insight generation, and stakeholder presentation.

• Build and maintain dashboards and self-service reporting tools that enable business teams to independently track performance, identify risks, and make data-driven decisions.

• Write production-quality SQL and Python code to extract, transform, and analyze data at scale.

• Collaborate with Data Engineers and Data Scientists to develop and maintain analytical data models, improve data pipelines, and ensure data quality across the organization.

• Partner with leadership across Sales, Operations, Product, Finance, and other departments to identify high-impact analytical opportunities and deliver actionable recommendations.

• Mentor other data analysts and contribute to the development of team standards, documentation, code review practices, and analytical frameworks.

• Proactively identify gaps in data infrastructure, propose improvements, and contribute to the evolution of the team’s tooling and processes.

Requirements

• 5+ years of experience in data analytics, business intelligence, or a related quantitative role.

• 3+ years of experience partnering directly with Sales, Operations, Product, or equivalent business teams as an embedded analytics partner.

• Advanced SQL proficiency, including CTEs, window functions, performance optimization, and working across complex data models.

• Proficiency in Python for data analysis, automation, and modeling (Pandas, NumPy, scikit-learn, or similar).

• Experience with cloud data warehouses, particularly Snowflake (BigQuery and Databricks also valued).

• Hands-on experience with BI and data visualization tools (Looker, Tableau, Hex, or similar).

• Strong stakeholder management skills,proven ability to present complex technical findings to non-technical audiences.

• Experience with generative AI and LLM-based tools (Claude Code, Cursor, GitHub Copilot) to perform and accelerate analyses, automated reporting, and build self-service data tools.

Bonus points

• Demonstrated experience applying statistical methods to business problems (e.g., regression, classification, A/B testing).

• Experience with dbt for data modeling and transformation.

• Experience building and maintaining data pipelines using orchestration tools such as Airflow.

• Experience working with APIs for data ingestion and integration.

• Familiarity with version control systems (Git).

• Experience in fintech, financial services, or payments.

• Track record of leading cross-functional analytics projects from scoping through delivery.

Compensation

The expected salary range for this role is $114,192 - $142,740.

However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity.

Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

XML job scraping automation by YubHub

As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

The successful candidate will partner with the Salesforce Product Manager to ensure that the Salesforce GovCloud platform is fully aligned with business objectives by maximizing the platforms capabilities and architecting scalable solutions.

Key responsibilities include designing and customizing Salesforce solutions on Salesforce Government Cloud Plus, supporting CRMA and configuring new analytics dashboards, managing and creating data recipes as needed, collaborating with developers to implement custom solutions when necessary, developing and maintaining technical documentation, automating business processes using Salesforce automation tools, building integrations between Salesforce and external applications, and providing support to end-users.

The ideal candidate will have 5-7 years of total IT experience with at least 4+ years of Salesforce platform development experience, a strong foundation in Object-Oriented Programming (OOP) principles, proven experience with CI/CD version control systems, including GitHub, and experience with FFLIB (Apex Common Framework).

Additional requirements include strong debugging and performance optimization skills in Salesforce environments, proven integration experience using integration techniques, REST, SOAP APIs, oAuth and SSO, experienced in Standard/Custom Object creation and relationships, excellent analytical and problem-solving skills with keen attention to detail, knowledge of software development lifecycle and DevOps tools, and strong communication and interpersonal skills to effectively collaborate with diverse teams.

XML job scraping automation by YubHub

Responsibilities:

• Design and develop reliable and high-performance services and client libraries for storing and accessing large amounts of data on cloud storage backends, such as AWS S3 and Azure Blob Store.
• Build scalable services using Scala, Kubernetes, and data pipelines, such as Apache Spark and Databricks.
• Work on a SaaS platform or with Service-Oriented Architectures.
• Collaborate with our DDS team to develop and deploy data-centric solutions using Apache Spark, Data Plane Storage, Delta Lake, and Delta Pipelines.
• Develop and maintain high-quality code, following best practices and coding standards.
• Participate in code reviews and provide feedback to improve the quality of the codebase.
• Troubleshoot and resolve issues that arise during deployment and operation.

Requirements:

• Bachelor's degree in Computer Science or a related field.
• 7+ years of production-level experience in one of the following languages: Python, Java, Scala, C++, or similar language.
• Experience developing large-scale distributed systems from scratch.
• Experience working on a SaaS platform or with Service-Oriented Architectures.
• Strong understanding of software design patterns and principles.
• Excellent problem-solving skills and attention to detail.
• Ability to work effectively in a team environment.
• Strong communication and collaboration skills.

Preferred Qualifications:

• Experience with Apache Spark, Data Plane Storage, Delta Lake, and Delta Pipelines.
• Knowledge of cloud-based storage systems, such as AWS S3 and Azure Blob Store.
• Familiarity with containerization using Docker and Kubernetes.
• Experience with continuous integration and continuous deployment (CI/CD) pipelines.
• Strong understanding of security principles and practices.
• Familiarity with agile development methodologies and version control systems, such as Git.

Benefits:

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please click here.

Our Commitment to Diversity and Inclusion:

Databricks is an equal opportunities employer and welcomes applications from diverse candidates. We are committed to creating an inclusive and respectful work environment where everyone feels valued and empowered to contribute their best work.

XML job scraping automation by YubHub

Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly.

Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.

Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.

Data at Brex

The Data organization develops insights, models, and data infrastructure for teams across Brex, including Sales, Marketing, Product, Engineering, and Operations. Our Data Scientists, Analysts, and Engineers work together to make data,and insights derived from data,a core asset across the company.

What you’ll do

As a senior Data Analyst (DA III), you will own the end-to-end analytics lifecycle for one or more business areas at Brex. You’ll go beyond building dashboards,you’ll frame the right questions, design rigorous analyses, apply statistical methods, and translate your findings into clear recommendations for leadership. You will also serve as a technical leader on the Data Analytics team, mentoring more junior analysts and helping define the standards and best practices that elevate the team’s work.

This role sits at the intersection of analytics, analytics engineering, and business strategy. You’ll work in a modern data stack environment and partner closely with Data Scientists, Data Engineers, and senior leaders across the organization.

Where you’ll work

This role will be based in our New York office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Own the analytics lifecycle for assigned business areas: from problem framing and data sourcing through analysis, insight generation, and stakeholder presentation.

• Build and maintain dashboards and self-service reporting tools that enable business teams to independently track performance, identify risks, and make data-driven decisions.

• Write production-quality SQL and Python code to extract, transform, and analyze data at scale.

• Collaborate with Data Engineers and Data Scientists to develop and maintain analytical data models, improve data pipelines, and ensure data quality across the organization.

• Partner with leadership across Sales, Operations, Product, Finance, and other departments to identify high-impact analytical opportunities and deliver actionable recommendations.

• Mentor other data analysts and contribute to the development of team standards, documentation, code review practices, and analytical frameworks.

• Proactively identify gaps in data infrastructure, propose improvements, and contribute to the evolution of the team’s tooling and processes.

Requirements

• 5+ years of experience in data analytics, business intelligence, or a related quantitative role.

• 3+ years of experience partnering directly with Sales, Operations, Product, or equivalent business teams as an embedded analytics partner.

• Advanced SQL proficiency, including CTEs, window functions, performance optimization, and working across complex data models.

• Proficiency in Python for data analysis, automation, and modeling (Pandas, NumPy, scikit-learn, or similar).

• Experience with cloud data warehouses, particularly Snowflake (BigQuery and Databricks also valued).

• Hands-on experience with BI and data visualization tools (Looker, Tableau, Hex, or similar).

• Strong stakeholder management skills,proven ability to present complex technical findings to non-technical audiences.

• Experience with generative AI and LLM-based tools (Claude Code, Cursor, GitHub Copilot) to perform and accelerate analyses, automated reporting, and build self-service data tools.

Bonus points

• Demonstrated experience applying statistical methods to business problems (e.g., regression, classification, A/B testing).

• Experience with dbt for data modeling and transformation.

• Experience building and maintaining data pipelines using orchestration tools such as Airflow.

• Experience working with APIs for data ingestion and integration.

• Familiarity with version control systems (Git).

• Experience in fintech, financial services, or payments.

• Track record of leading cross-functional analytics projects from scoping through delivery.

Compensation

The expected salary range for this role is $114,192 - $142,740. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

XML job scraping automation by YubHub

A typical day will involve leveraging AI and tooling to lead the implementation of a test automation strategy, covering the entire testing pyramid (unit, service, integration, and end-to-end testing) to verify feature functionality for customer use cases. You will also lead building, maintaining, and effective utilization of automated tests, collaborating closely with engineering teams to ensure robust test coverage for features and releases, and actively participating in the continuous improvement of testing processes.

We are looking for someone with 5+ years of industry experience in software testing and automation, demonstrable knowledge in Swift and XCUITest, strong hands-on experience with automation methodologies, tools, and frameworks, and experience integrating automated tests into CI/CD pipelines (e.g., Buildkite, Spinnaker, Jenkins) and version control systems (Git).

The ideal candidate will be a player of our high-performance team to ensure code quality, commitment to craft and operational excellence, and will work closely with cross-functional teams, including product management, development, and other QE teams, in a fast-paced environment with short release cycles.

XML job scraping automation by YubHub

The primary mission of the Finance Transformation team is to drive change and efficiency in Finance to support strategic objectives.

As the Finance Analytics Manager, you will be responsible for partnering with Finance stakeholders to scope and prioritize reporting and analytic needs, designing and delivering dashboards, reports, and analyses.

Key responsibilities include:

• Collecting, analyzing, and understanding business reporting requirements and translating them to data models and dashboards

• Designing and building underlying data models to support end-user reporting

• Evaluating and prioritizing new data analytics and insights project submissions, ensuring alignment with Finance org priorities

• Enhancing and evolving Finance reporting capabilities and driving the adoption of analytics tools and aligned reporting frameworks

• Creating detailed metadata documentation for data models and columns to improve data clarity and usability for end-users

• Monitoring and maintaining data quality, validation/audits, and governance for in-scope data domains

Requirements include:

• 5+ years of relevant work experience in Business Analytics, Data Modeling/Analytics, Data Management, or Program Management

• Prior experience working across different Finance stakeholders, such as FP&A, Revenue, Financial Reporting, etc.

• Strong understanding of Finance reporting principles and best practices

• Experience conducting large-scale data analysis to support business decision-making

• Experience working with enterprise-wide data, structured and unstructured, joining large and complex data sets

• Experience with SQL, dbt, Sigma Computing, and version control systems such as Git

• Demonstrable ability to be agile, proactive, and comfortable working in ambiguity and think creatively to come up with innovative solutions to complex problems

• Ability to translate functional (business) needs to analytics/technology

• Familiarity with data structures from common Finance systems, such as NetSuite, Zuora Revpro

• Self-motivated and pragmatic, with a get-it-done mentality

As a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do.

We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

Benefits include competitive pay, health coverage for you and your family, flexible locations and schedules, generous vacation days, and more.

XML job scraping automation by YubHub

Our mission is to catalyze healthcare's greatest inventors by maximizing the value of patient insights. We partner with HIEs and other data networks to aggregate patient clinical history and then translate that history into user-friendly information at the point of care.

Responsibilities:

• Collaborate with our team to develop and implement new features and functionality
• Work closely with our engineering team to ensure seamless integration with our platform
• Provide exceptional customer support and resolve any issues that may arise

Benefits:

• Competitive compensation package including cash and equity
• Robust benefits including health insurance, wellness benefits, and 401k with a match
• Unlimited PTO and flexible work arrangements

If you're passionate about disrupting the current healthcare system and want to be part of a dynamic team, we encourage you to apply.

XML job scraping automation by YubHub

Responsibilities:

• Collaborate with engineers and stakeholders to gather information and understand technical specifications and requirements
• Create and maintain technical maintenance documentation, including service manuals, work instructions, service support, etc
• Build writing processes and strategies with an eye to scale
• Translate complex technical concepts into clear and accessible documentation that is easy for end-users to understand
• Ensure that all documentation adheres to industry standards and best practices, as well as any relevant DoD regulations and guidelines
• Review and edit documentation for accuracy, consistency, and clarity, ensuring that it meets the needs of our target audience
• Plan, track, and coordinate documentation projects across necessary teams to meet deadlines
• Continuously update and improve existing documentation based on feedback from users, stakeholders, and internal teams

Qualifications:

• Bachelor's degree in English, Engineering, or a related field
• Experience as a Technical Writer, preferably in a technology-driven environment or within the defense industry
• Candidate open to travel is a plus
• Experience documenting complex hardware and software platforms is a plus
• Strong writing, editing, and proofreading skills, with the ability to communicate complex technical information clearly and effectively
• Proficient with version control systems and front-end development
• Familiarity with docs as code, markdown content formatting, Javascript, CSS, and Nunjucks templating a plus
• Familiarity with DoD standards and regulations related to technical documentation is a plus
• Excellent organizational skills and the ability to manage multiple projects simultaneously while meeting deadlines
• Strong attention to detail and a commitment to producing high-quality work
• Excellent communication skills, with the ability to collaborate effectively with cross-functional teams
• A proactive and self-motivated approach to work, with the ability to work independently and take initiative when needed

Benefits:

• Medical Insurance: Comprehensive health insurance plans covering a range of services
• Saronic pays 100% of the premium for employees and 80% for dependents
• Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care
• Saronic pays 100% of the premium under the basic plan for employees and 80% for dependents
• Time Off: Generous PTO and Holidays
• Parental Leave: Paid maternity and paternity leave to support new parents
• Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses
• Retirement Plan: 401(k) plan with company match
• Stock Options: Equity options to give employees a stake in the company’s success
• Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage
• Pet Insurance: Discounted pet insurance options including 24/7 Telehealth helpline
• Additional Perks: Free lunch benefit and unlimited free drinks and snacks in the office

XML job scraping automation by YubHub

Responsibilities: Collaborate with engineers, designers, and other stakeholders to gather information and understand technical specifications and requirements Create and maintain technical documentation, including user manuals, system manuals, specifications, and other technical guides for our autonomous surface vessels Translate complex technical concepts into clear and accessible documentation that is easy for end-users to understand Ensure that all documentation adheres to industry standards and best practices, as well as any relevant DoD regulations and guidelines Review and edit documentation for accuracy, consistency, and clarity, ensuring that it meets the needs of our target audience Work closely with the product development team to stay updated on project timelines, milestones, and deliverables Continuously update and improve existing documentation based on feedback from users, stakeholders, and internal teams Stay informed about emerging technologies, industry trends, and best practices in technical writing and documentation

Benefits: Comprehensive health insurance plans covering a range of services Coverage for routine dental check-ups, orthodontics, and vision care Generous PTO and Holidays Paid maternity and paternity leave to support new parents Industry-standard salaries with opportunities for performance-based bonuses 401(k) plan with company match Equity options to give employees a stake in the company’s success Basic life insurance and short- and long-term disability coverage Discounted pet insurance options including 24/7 Telehealth helpline Free lunch benefit and unlimited free drinks and snacks in the office

XML job scraping automation by YubHub

Responsibilities: Collaborate with engineers, designers, and other stakeholders to gather information and understand technical specifications and requirements Create and maintain technical documentation, including user manuals, system manuals, specifications, and other technical guides for our autonomous surface vessels Translate complex technical concepts into clear and accessible documentation that is easy for end-users to understand Ensure that all documentation adheres to industry standards and best practices, as well as any relevant DoD regulations and guidelines Review and edit documentation for accuracy, consistency, and clarity, ensuring that it meets the needs of our target audience Work closely with the product development team to stay updated on project timelines, milestones, and deliverables Continuously update and improve existing documentation based on feedback from users, stakeholders, and internal teams Stay informed about emerging technologies, industry trends, and best practices in technical writing and documentation

Qualifications: Bachelor's degree in Technical Writing, English, Communications, or a related field Experience as a Technical Writer, preferably in a technology-driven environment or within the defense industry Strong writing, editing, and proofreading skills, with the ability to communicate complex technical information clearly and effectively Proficient with version control systems and front-end development Familiarity with docs as code, markdown content formatting, Javascript, CSS, and Nunjucks templating a plus Familiarity with DoD standards and regulations related to technical documentation is a plus Excellent organizational skills and the ability to manage multiple projects simultaneously while meeting deadlines Strong attention to detail and a commitment to producing high-quality work Excellent communication skills, with the ability to collaborate effectively with cross-functional teams A proactive and self-motivated approach to work, with the ability to work independently and take initiative when needed

Benefits: Comprehensive health insurance plans covering a range of services Saronic pays 100% of the premium for employees and 80% for dependents Coverage for routine dental check-ups, orthodontics, and vision care Saronic pays 100% of the premium under the basic plan for employees and 80% for dependents Generous PTO and Holidays Paid maternity and paternity leave to support new parents Industry-standard salaries with opportunities for performance-based bonuses 401(k) plan with company match Equity options to give employees a stake in the company’s success Basic life insurance and short- and long-term disability coverage Discounted pet insurance options including 24/7 Telehealth helpline Free lunch benefit and unlimited free drinks and snacks in the office

XML job scraping automation by YubHub

You will act as a trusted consultant and thought partner across the business, including People & Culture, Recruiting, Finance, Care Delivery, Support, Security, and Engineering, to intake automation opportunities, lead collaborative discovery sessions, translate abstract requirements into scalable technical designs, and build reliable, well-documented automations using platforms such as Tines and modern API-driven tooling.

In this role, you are expected to own the full lifecycle of automation solutions: from initial discovery and requirements gathering through design, build, testing, launch, and handoff. You will operate with a high degree of autonomy, apply strong technical depth, and produce secure, resilient, and well-designed workflows that scale with the business.

Responsibilities:

• Intake, Discovery & Solution Analysis: Lead the intake process by clarifying requirements, gathering context, and translating problem statements into structured technical scopes. Assess the potential ROI on incoming automation requests to ensure the team focuses on the highest-value opportunities.
• Stakeholder Discovery & Facilitation: Lead in-depth discovery sessions with stakeholders to understand existing processes, pain points, and constraints, through whiteboarding and shadowing sessions. Rapidly absorb and model unfamiliar problem spaces, deconstructing ambiguous processes into clear workflow models and candidate automation designs.
• Design, Build & Implementation: Translate requirements and process designs into detailed automation builds across platforms such as Tines, n8n, and API-driven workflows. Integrate SaaS platforms using REST APIs, webhooks, event-driven triggers, and structured JSON payloads to create robust end-to-end workflows.
• Launch, Maintenance & Operations: Own the full lifecycle of automation deployments, including testing, launch, hypercare, tuning, and steady-state stabilization. Maintain, optimize, and refactor automations as upstream systems evolve or new business requirements emerge.
• Cross-functional Partnership & Collaboration: Partner with stakeholders across Omada, including P&C, Recruiting, Finance, Care Delivery, Support, Security, Compliance, and Engineering, to understand workflows, challenges, and downstream impacts.

What Great Looks Like:

• Is a systems-level thinker who can deconstruct business processes, consult with stakeholders on improvements, choose the best technical path forward, and rapidly implement high-quality solutions.
• Quickly understands complex processes, identifies inefficiencies, and executes solutions that deliver measurable value.
• Is an engaging, collaborative partner who can facilitate high-energy working sessions, synthesize input from many voices, and keep groups oriented toward outcomes.
• Can enter a brand-new domain, quickly build a mental model of the problem space, and sketch out viable automation patterns on the fly.
• Uses patterns and experience to guide stakeholders through alternatives, trade-offs, and 'what if' scenarios, without getting lost in technical detail.
• Delivers high-quality automation designs that are resilient, reusable, and aligned with security, compliance, and governance standards.
• Exercises strong technical judgment, knowing when to keep solutions simple and deterministic and when a more sophisticated or agentic approach is warranted.
• Operates with high autonomy, managing full lifecycle delivery of automations with minimal oversight.
• Builds trust with cross-functional partners through clarity, predictability, and consistent execution.
• Incorporates compliance and auditability into design decisions, aligning with SOX, HIPAA, and security requirements.
• Improves team velocity by producing inheritable workflows and documentation others can easily support.
• Consistently demonstrates senior-level ownership by delivering high-quality solutions independently and driving meaningful cross-functional impact through technical depth and reliable execution.

Candidate Requirements:

• 7+ years of hands-on experience in software development, technical operations, or a related field.
• Strong understanding of software development principles, design patterns, and best practices.
• Experience with automation tools, such as Tines, n8n, or Zapier.
• Strong analytical and problem-solving skills, with the ability to break down complex problems into manageable parts.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
• Strong attention to detail and ability to deliver high-quality results.
• Experience with Agile development methodologies and version control systems, such as Git.
• Familiarity with cloud-based infrastructure, such as AWS or Azure.
• Experience with security and compliance frameworks, such as SOX and HIPAA.
• Bachelor's degree in Computer Science, Information Technology, or a related field.

XML job scraping automation by YubHub

Cyngn is a publicly-traded autonomous technology company that deploys self-driving industrial vehicles to factories, warehouses, and other facilities throughout North America.

We are looking for a Senior Software Engineer - Full Stack to join our team. As a key member of our engineering team, you will play a crucial role in developing our innovative fleet management system for autonomous industrial vehicles.

Responsibilities

• Develop and maintain both backend and frontend components of our cloud-based fleet management system
• Collaborate with Backend and Frontend Tech Leads to implement new features and improve existing functionality
• Write clean, efficient, and maintainable code in languages such as Python, Go or Java for backend, and React, Redux and TypeScript for frontend
• Contribute to the design and implementation of RESTful APIs and real-time data processing pipelines
• Assist in developing and optimizing database schemas and queries for both SQL and NoSQL databases
• Implement responsive and intuitive user interfaces
• Contribute to the development of advanced mapping features and geospatial data processing
• Participate in code reviews, providing constructive feedback to peers
• Assist in troubleshooting and resolving production issues across the full stack
• Implement and maintain unit tests, integration tests, and end-to-end tests
• Contribute to the continuous improvement of our development processes and tooling

Requirements

• 5+ years of professional software development experience in full stack roles
• Strong proficiency in backend development using Python, Go, Java, or similar languages
• Solid experience with frontend development using React, Redux, and TypeScript
• Familiarity with cloud platforms (AWS, Azure, or GCP) and microservices architectures
• Experience with database design and management, both SQL and NoSQL
• Knowledge of RESTful API design and implementation
• Understanding of event-driven architectures and message queuing systems
• Experience with containerization technologies such as Docker and Kubernetes
• Familiarity with version control systems (e.g., Git) and CI/CD pipelines
• Strong problem-solving skills and ability to debug complex issues across the full stack
• Good understanding of software design patterns and architectural principles
• Excellent communication skills and ability to work effectively in a collaborative team environment

Nice to Have

• Experience with WebSocket implementations
• Familiarity with mapping libraries (e.g., Mapbox) and geospatial data handling
• Knowledge of IoT platforms or autonomous systems
• Experience with data visualization and dashboard creation
• Experience with performance optimization for both backend and frontend systems
• Familiarity with time-series databases for handling sensor data

Benefits & Perks

• Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)
• Life, Short-term and long-term disability insurance (Cyngn funds 100% of premiums)
• Company 401(k)
• Commuter Benefits
• Flexible vacation policy
• Remote or hybrid work opportunities
• Sabbatical leave opportunity after 5 years with the company
• Paid Parental Leave
• Daily lunches for in-office employees
• Monthly meal and tech allowances for remote employees

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At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content.

You are a skilled engineer with expertise in mechanical engineering, FEA, and software development using C++ and Python. You enjoy tackling complex challenges and transforming simulation data into actionable insights. Your experience with post-processing tools, especially for LS-Dyna, helps you deliver robust and intuitive solutions. You thrive in collaborative environments, communicate effectively, and are motivated to innovate and improve.

Participating in planning, architecture, and research in post-processing features for LS-Dyna. Implementing advanced algorithms for data visualization, interpretation, and reporting within FEA workflows Performs complex development activities that may require extensive analysis in areas including user experience and software design. Employs best practices and helps to maintain them through technical reviews and mentoring. Documenting code, workflows, and user guides to support ongoing maintenance and knowledge sharing. Testing, debugging, and validating software components to ensure reliability and accuracy for end users. Continuously improving the software architecture based on user feedback and evolving industry standards. Works independently

Empowering engineers to efficiently interpret and utilize LS-Dyna simulation results for critical decision-making. Accelerating the development and validation of high-performance mechanical products across industries. Enhancing the accuracy and reliability of post-processing tools, contributing to Synopsys’ reputation for innovation. Driving adoption of Synopsys’ simulation solutions within the global engineering and manufacturing community. Reducing analysis time and improving workflow efficiency for customers through advanced software features. Enabling seamless integration of new technologies and methodologies in simulation post-processing. Supporting the team’s growth by sharing expertise and mentoring colleagues in best practices.

BS in Mechanical, Aeronautical Engineering or related field with 5 years’ experience, MS with 3 years’ experience or PhD with 1 year experience. Proficiency in C++ and Python programming for desktop application development. Experience with Ansys or similar simulation software packages for FEA and post-processing tools. Ability to design intuitive graphical user interfaces and implement data visualization techniques. Excellent problem-solving skills and attention to detail in software development and testing. Familiarity with version control systems and collaborative development environments. Experience with Iso-geometry analysis is a plus.

Innovative and results-driven, with a passion for simulation technology. Collaborative team player who thrives in diverse, multi-disciplinary environments. Effective communicator, capable of translating technical concepts for varied audiences. Adaptable and open to new ideas, embracing continuous learning and improvement. Self-motivated and proactive in tackling complex challenges. Mentor and leader, dedicated to supporting the growth of colleagues and the team.

You will join a dynamic and innovative team focused on developing advanced graphic desktop post-processing tools for LS-Dyna. The team brings together expertise in mechanical engineering, simulation, software development, and user experience design. Collaboration, creativity, and technical excellence are at the heart of the team’s approach, driving impactful solutions for global engineering challenges. Together, you’ll shape the future of simulation post-processing and empower users across industries.

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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Your strong foundation in data structures, parallel algorithms, and high-performance computing allows you to approach technical problems with both creativity and precision.

You thrive in collaborative R&D environments, valuing clean, scalable software architecture and rigorous technical standards.

As an emerging leader, you consistently inspire those around you, fostering a culture of innovation and excellence.

You are motivated by the opportunity to make a tangible impact, both on Synopsys' products and on the global engineering community.

Designing and implementing high-performance software components that drive the accuracy, scalability, and reliability of mesh generation software platforms.

Developing and optimising parallel and distributed algorithms to support advanced engineering workflows across large-scale structural, fluids, and electromagnetic simulations.

Collaborating closely with QA, product management, and hardware engineering teams to deliver robust, high-quality simulation capabilities.

Participating in code reviews, mentoring team members, and upholding rigorous standards for software architecture, maintainability, and performance.

Investigating and resolving complex technical issues reported by QA or customers to ensure stability, reliability, and customer success in production environments.

Contributing to the continuous improvement of development processes, tools, and best practices.

Advance the development of cutting-edge mesh generation software enabling next-generation engineering solutions across diverse physics domains.

Enhance product performance, scalability, and robustness by implementing efficient parallel and distributed algorithms.

Establish and promote best practices in software design, development, testing, and maintainability across the R&D team.

Support Synopsys' industry leadership in high-performance simulation technology and engineering software innovation.

Deliver high-quality, high-reliability solutions that drive meaningful impact across the global technology ecosystem.

Mentor and uplift team members, contributing to a culture of technical excellence and inclusive collaboration.

BS degree with 5+ years of relevant experience, MS degree with 3+ years of experience, or a PhD in Computer Science, Engineering, or a related field (or equivalent practical experience).

Strong proficiency in C++ and Python, with proven experience in data structures and parallel algorithms.

Deep understanding of software design principles.

Hands-on experience with version control systems (such as Git), working within Windows and Linux environments, debugging, and performance optimisation.

Professional experience in mesh generation, computational geometry, CAD, or related fields.

Exposure to CAD/CAE tools, semiconductor technology, or electronics design will be a plus.

Exhibits strong communication and leadership capabilities, indicating readiness to take on team leadership responsibilities soon.

A collaborative leader and mentor who inspires others to achieve their best.

An excellent communicator able to articulate complex technical concepts to diverse audiences.

Innovative, results-driven, and adaptable to fast-changing environments.

Proactive problem solver with a passion for continuous improvement.

Committed to fostering an inclusive and supportive team culture.

Join our globally distributed Synopsys meshing development team, where you will collaborate with talented engineers advancing the state-of-the-art in mesh generation, high-performance computing, and distributed simulation workflows.

Together, we are shaping the future of engineering through scalable, high-fidelity multi-physics simulation technologies.

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs.

Our total rewards include both monetary and non-monetary offerings.

Your recruiter will provide more details about the salary range and benefits during the hiring process.

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Our Hardware Engineers at Synopsys are responsible for designing and developing cutting-edge semiconductor solutions. They work on intricate tasks such as chip architecture, circuit design, and verification to ensure the efficiency and reliability of semiconductor products.

Job Description

We Are:

At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content.

You Are:

You are a passionate and forward-thinking digital design expert with a strong foundation in ASIC RTL design and a proven track record of delivering complex, high-performance IP cores. With a Bachelor’s or Master’s degree in EE, EC, or VLSI and over four years of relevant industry experience, you thrive in dynamic, multi-site environments and excel at translating functional specifications into robust, scalable architectures.

Responsibilities

Architecting and implementing state-of-the-art RTL designs for the DesignWare IP family, targeting commercial, enterprise, and automotive applications.

Translating standard and functional specifications into detailed micro-architectures and comprehensive design documentation for medium to high complexity features.

Leading and contributing hands-on to RTL coding, synthesis, CDC analysis, debug, and test development tasks.

Collaborating with global teams and engaging directly with customers to understand and refine specification requirements.

Driving technical excellence in design processes, including linting, static timing analysis, formal checking, and P&R-aware synthesis using tools such as Fusion Compiler.

Mentoring and technically leading a team of designers, providing guidance on best practices and innovative design methodologies.

Utilizing version control systems and scripting to manage design flows and automate repetitive tasks for improved efficiency.

Requirements

Bachelor’s or Master’s degree in Electrical Engineering, Electronics, VLSI, or related field.

4+ years of hands-on industry experience in ASIC RTL design, with a strong portfolio of completed projects.

Deep expertise in data path and control path design, including experience with Reed Solomon FEC, BCH codes, CRC architectures, and MAC SEC engines.

Proficiency in synthesizable Verilog/SystemVerilog, simulation tools, and design flows including lint, CDC, synthesis, and static timing analysis.

Familiarity with high-speed design (>600MHz), P&R-aware synthesis, and EDA tools such as Fusion Compiler.

Experience with version control systems (e.g., Perforce) and scripting languages (Perl, Shell) for design automation.

Knowledge of industry protocols: Ethernet, DDR, PCIe, USB, MIPI-UFS/Unipro, SD-MMC, AMBA (AMBA2, AXI).

Exposure to quality processes in IP design and verification is an advantage.

Prior experience as a technical lead or mentor is highly desirable.

Who We Are Looking For

Innovative thinker with a solutions-oriented mindset and a passion for technology.

Excellent communicator who thrives in collaborative, multicultural, and multi-site environments.

Natural leader with mentoring abilities, fostering inclusion and diversity within the team.

Detail-oriented professional with strong analytical and problem-solving skills.

Self-motivated, adaptable, and eager to drive technical excellence and process improvements.

Committed to continuous learning and staying ahead of industry trends.

The Team You’ll Be A Part Of

You will join the R&D Solutions Group at our Bangalore Design Center, as part of the DesignWare IP Design team. This diverse and innovative group is dedicated to architecting, developing, and delivering cutting-edge IP cores that enable Synopsys’ global customers to achieve their design goals.

Rewards and Benefits

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings.

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At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are a global company with teams distributed between France, USA, UK, Germany, and Singapore. Our comprehensive AI platform meets enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.

Role Summary

As an Applied Engineering Intern, you will work closely with our Applied AI Engineering team to facilitate the adoption of Mistral AI products among customers and collaborate with them to address complex technical challenges. This role is based in Paris, with an internship duration of 3 to 6 months. We are open to CIFRE programs as a continuation after the internship.

Responsibilities

• Contribute to the deployment of state-of-the-art GenAI applications, driving technological transformation with our customers.

• Collaborate with researchers, AI engineers, and product engineers on complex customer projects.

• Work with the product and science team to continuously improve our product and model capabilities based on customer feedback.

How We Work in Applied AI

• We care about people and outputs.

• What matters is what you ship, not the time you spend on it.

• Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.

• Always ask why. The best solutions come from deep understanding, not from copying what worked before.

• We say what we mean. Feedback is direct, timely, and given because we care.

• No politics. Low ego, high standards.

• We embrace an unstructured environment and find joy in it.

About You

• You are currently pursuing a degree in AI, data science, or a related field from a tier 1 engineering school or university.

• You have strong programming skills in Python.

• You are familiar with machine learning algorithms and natural language processing techniques.

• You hold basic understanding of MLOps and deploying machine learning use cases.

• You have good communication skills with the ability to explain technical concepts to both technical and non-technical audiences.

Ideally You Have:

• Experience with deep learning frameworks such as PyTorch.

• Familiarity with version control systems (e.g., Git) and Linux shell environment.

• Experience working in HPC Environments.

• Publication record in AI or a related field.

Benefits

• Competitive salary

• Food: Daily lunch vouchers

• Sport: Monthly contribution to a Gympass subscription

• Transportation: Monthly contribution to a mobility pass

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Job Summary

As a Software Engineer- III at Electronic Arts, you will lead the end-to-end architecture, design, and implementation of scalable, high-throughput live service platform components that power multiple EA game studios. You will partner with cross-functional teams to streamline and evolve the live services workflow, evaluate and define how EA's live service platforms, studio technology stacks, and third-party/vendor solutions integrate to meet engineering and business objectives in a scalable and cost-effective manner.

Responsibilities

• Lead the end-to-end architecture, design, and implementation of scalable, high-throughput live service platform components that power multiple EA game studios.
• Partner with cross-functional teams including Content Management & Delivery, Messaging, Segmentation, Recommendation, and Experimentation to streamline and evolve the live services workflow.
• Evaluate and define how EA's live service platforms, studio technology stacks, and third-party/vendor solutions integrate to meet engineering and business objectives in a scalable and cost-effective manner.
• Own technical design reviews and drive architectural decisions, ensuring solutions are resilient, extensible, secure, and aligned with long-term platform strategy.
• Use large-scale datasets across 20+ game studios to promote data-driven decision-making, experimentation, and continuous optimization.
• Engage with Game Studios, Experience, and Brand organizations to deeply understand use cases, translate business requirements into technical designs, and drive end-to-end solution delivery.
• Collaborate closely with Product Management to prioritize initiatives, define measurable outcomes, and deliver solutions with clear ROI.
• Partner with Program Management to define sprint goals, plan and prioritize work, and own the team's sprint commitments and delivery outcomes.
• Partner with Legal and Privacy teams to ensure compliance with global regulatory requirements and data governance standards.
• Lead and mentor engineers, providing technical direction, conducting design/code reviews, and fostering engineering excellence.
• Drive stakeholder alignment across multiple teams, locations, and time zones by communicating architecture, trade-offs, risks, and execution plans clearly and effectively.
• Ensure operational excellence for 24/7 live services through proactive monitoring, performance tuning, capacity planning, and incident management.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 7-9 years of relevant industry experience in designing and building scalable distributed systems.
• Strong expertise in software design principles, algorithms, and data structures.
• Proven architectural and system design experience, including hands-on ownership of highly scalable, high-throughput, low-latency systems.
• Demonstrated experience leading high-performing engineering teams (2-3+ years), including mentoring, technical guidance, and driving delivery.
• Strong stakeholder management skills, with experience collaborating across product, engineering, legal, and business teams.
• Proficiency in Java and at least one scripting language (preferably Python).
• Hands-on experience with backend frameworks and technologies (e.g., Spring Boot).
• Experience designing and operating distributed systems using messaging and streaming platforms (e.g., Kafka).
• Strong experience with large-scale data pipelines, personalization platforms, analytics systems, and experimentation frameworks.
• Experience with relational, columnar, and/or document-oriented databases.
• Experience managing high-traffic, 24/7 production systems with complex dependencies in cloud environments, preferably AWS.
• Solid understanding of multi-cloud architectures and large-scale data processing systems.
• Working knowledge of containerization and orchestration technologies (Docker, Kubernetes).
• Experience with observability and monitoring tools (e.g., Prometheus, Grafana).
• Experience with CI/CD pipelines and version control systems (e.g., GitLab CI/CD).
• Familiarity with modern software development best practices, including clean code principles, automated testing, CI/CD, and DevOps practices.
• Exposure to frontend technologies (HTML, CSS, JavaScript frameworks such as React) is a plus.

Benefits

Electronic Arts offers a comprehensive benefits package that includes healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more.

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We are seeking an experienced AI/GenAI engineer to join our team at Synopsys. As a Principal AI/GenAI Engineer, you will design, develop, and deploy GenAI Agentic and machine learning models, algorithms, and systems to tackle complex business challenges.

What You'll Be Doing:

• Design, develop, and deploy GenAI Agentic and machine learning models, algorithms, and systems to tackle complex business challenges.
• Provide technical leadership and mentorship, supporting junior engineers and data scientists in best practices and advanced techniques.
• Stay abreast of the latest AI, Agentic AI, and machine learning advancements, applying them to enhance existing systems or develop innovative solutions.
• Collaborate with program and product managers, software engineers, and stakeholders to define requirements and create technical specifications for AI solutions.
• Conduct data analysis, preprocessing, and feature engineering to prepare datasets for machine learning models.
• Train, validate, and fine-tune machine learning models to meet performance and accuracy benchmarks.
• Deploy AI models into production environments, monitoring and optimizing their performance.
• Document models, algorithms, and methodologies to ensure reproducibility and facilitate knowledge sharing.
• Ensure all AI solutions comply with ethical guidelines, data privacy regulations, and industry standards.

The Impact You Will Have:

• Accelerate innovation in AI-driven products and solutions, directly influencing Synopsys' technological leadership.
• Enhance operational efficiency and decision-making through intelligent automation and data-driven insights.
• Drive adoption of Agentic AI systems, enabling transformative business outcomes across multiple domains.
• Mentor and elevate the technical capabilities of the engineering and data science teams, fostering a culture of excellence.
• Champion ethical AI practices, ensuring responsible development and deployment of cutting-edge technologies.
• Support cross-functional collaboration, bridging the gap between technical and business teams for successful project delivery.
• Contribute to the advancement of semiconductor IPs and EDA tool integration with AI, expanding Synopsys' product portfolio.

What You'll Need:

• Ph.D. or Master’s degree in Computer Science, Data Science, Electrical Engineering, or a related field.
• Minimum 8 years of experience in software engineering, machine learning, and GenAI, with a proven track record in production deployments.
• Strong proficiency in Python; familiarity with backend and distributed systems, message queues, and orchestration technologies is a plus.
• Expertise in data structures, algorithms, and design patterns for scalable AI solutions.
• Extensive experience with machine learning and Agentic frameworks (e.g., TensorFlow, PyTorch, LangChain/LangGraph, AutoGen) and LLM models.
• Strong grasp of statistical analysis, data mining, and data visualization techniques.
• Knowledge of cloud platforms, containerization (Kubernetes, Docker), and version control systems (Git, P4).
• Familiarity with Agile, Kanban, or Scrum methodologies.
• Understanding or experience with semiconductor IPs and EDA tools is highly desirable.

Who You Are:

• Exceptional problem-solving and analytical abilities, with a strategic mindset.
• Strong communication and interpersonal skills to engage diverse audiences.
• Ability to work independently and collaboratively within multidisciplinary teams.
• Demonstrated leadership and mentorship capabilities.
• Adaptable, proactive, and eager to continuously learn and innovate.

The Team You’ll Be A Part Of:

You will join a dynamic, collaborative group of professionals dedicated to advancing AI and GenAI solutions for diverse projects. The team values innovation, knowledge sharing, and continuous improvement, working closely with product managers, engineers, and stakeholders to deliver impactful AI-powered systems. You will play a key role in mentoring, technical leadership, and driving the evolution of Synopsys’ AI initiatives.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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As a Software Engineer at Porsche, you will be part of a dynamic team responsible for developing cutting-edge software solutions for our vehicles. Your primary focus will be on designing and implementing software architectures for distributed real-time systems.

Responsibilities

• Design and implement software architectures for distributed real-time systems
• Develop and test software components using C/C++ programming languages
• Collaborate with cross-functional teams to ensure seamless integration of software components
• Analyze and troubleshoot software issues to ensure high-quality delivery

Requirements

• Bachelor's degree in Informatik, Informationstechnik, or a related field
• Proficiency in Linux systems and C/C++ programming languages
• Experience with Precision Time Protocol (PTP) and PTP4l-Stack is an advantage
• Strong understanding of software architecture and design patterns
• Excellent problem-solving skills and attention to detail

Benefits

• Competitive salary and benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment
• Flexible working hours and remote work options
• Access to state-of-the-art technology and tools
• Recognition and rewards for outstanding performance

How to Apply

To apply for this position, please submit your application through our online portal. We look forward to receiving your application and welcoming you to our team!

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As an Enterprise Product Engineer at Cursor, you'll architect, implement, and deploy projects end-to-end to build enterprise-grade features that help large organisations adopt and scale with Cursor.

You may be a fit if

You have an entrepreneurial spirit and love creating outsized business impact. You want to be at the frontier of AI transformation with the best companies in the world. You're passionate about building great products that blend excellent engineering with a taste for models and design. You have a propensity for creative ideas and have a knack for making powerful tools without compromising their ease-of-use.

Responsibilities

• Architect, implement, and deploy projects end-to-end to build enterprise-grade features that help large organisations adopt and scale with Cursor.
• Collaborate with cross-functional teams to define and deliver product roadmaps that meet business objectives.
• Analyse customer needs and develop solutions that meet their requirements.
• Work closely with the design team to create user-centred products that are both functional and aesthetically pleasing.
• Develop and maintain high-quality code that is scalable, maintainable, and efficient.
• Participate in code reviews to ensure that the codebase is of the highest quality.
• Stay up-to-date with the latest technologies and trends in the industry.

Benefits

• Competitive salary and benefits package.
• Opportunity to work with a recognised leader in the AI industry.
• Collaborative and dynamic work environment.
• Flexible working hours and remote work options.
• Access to the latest technologies and tools.
• Opportunities for professional growth and development.

What we're looking for

• 3+ years of experience in software development, preferably in a product engineering role.
• Strong understanding of software development principles, patterns, and best practices.
• Experience with Agile development methodologies and version control systems.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.
• Experience with cloud-based technologies and containerisation.
• Familiarity with machine learning and AI concepts.
• Experience with design thinking and user-centred design.
• Strong understanding of security principles and best practices.
• Experience with DevOps practices and tools.
• Familiarity with testing frameworks and methodologies.
• Experience with continuous integration and continuous deployment.
• Strong understanding of scalability and performance optimisation.
• Experience with monitoring and logging tools.
• Familiarity with containerisation and orchestration.
• Experience with cloud-based storage and databases.
• Familiarity with security frameworks and best practices.
• Experience with compliance and regulatory requirements.
• Familiarity with industry standards and best practices.

Preferred skills

• Experience with Python, Java, or C++.
• Familiarity with cloud-based platforms such as AWS or Azure.
• Experience with containerisation and orchestration tools such as Docker and Kubernetes.
• Familiarity with machine learning and AI frameworks such as TensorFlow or PyTorch.
• Experience with design thinking and user-centred design tools such as Sketch or Figma.
• Familiarity with testing frameworks and methodologies such as JUnit or PyUnit.
• Experience with continuous integration and continuous deployment tools such as Jenkins or GitLab CI/CD.
• Familiarity with monitoring and logging tools such as Prometheus or Grafana.
• Experience with security frameworks and best practices such as OWASP or NIST.
• Familiarity with compliance and regulatory requirements such as GDPR or HIPAA.
• Experience with industry standards and best practices such as ISO 27001 or PCI-DSS.

Salary range

£80,000 - £120,000 per annum.

Category

Engineering.

Industry

Technology.

Experience level

Mid.

Employment type

Full-time.

Workplace type

Remote.

Required skills

• Software development principles, patterns, and best practices.
• Agile development methodologies and version control systems.
• Problem-solving skills and attention to detail.
• Communication and collaboration skills.
• Cloud-based technologies and containerisation.
• Machine learning and AI concepts.
• Design thinking and user-centred design.
• Security principles and best practices.
• DevOps practices and tools.
• Testing frameworks and methodologies.
• Continuous integration and continuous deployment.
• Scalability and performance optimisation.
• Monitoring and logging tools.
• Containerisation and orchestration.
• Cloud-based storage and databases.
• Security frameworks and best practices.
• Compliance and regulatory requirements.
• Industry standards and best practices.

Preferred skills

• Python, Java, or C++.
• Cloud-based platforms such as AWS or Azure.
• Containerisation and orchestration tools such as Docker and Kubernetes.
• Machine learning and AI frameworks such as TensorFlow or PyTorch.
• Design thinking and user-centred design tools such as Sketch or Figma.
• Testing frameworks and methodologies such as JUnit or PyUnit.
• Continuous integration and continuous deployment tools such as Jenkins or GitLab CI/CD.
• Monitoring and logging tools such as Prometheus or Grafana.
• Security frameworks and best practices such as OWASP or NIST.
• Compliance and regulatory requirements such as GDPR or HIPAA.
• Industry standards and best practices such as ISO 27001 or PCI-DSS.

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What you'll do

• Provide support to Synopsys's world-wide customers and field teams.
• Solve complex technical problems involving software running on ARC processors (firmware, libraries, applications).

What you need

• Written and spoken English communications skills (intermediate or higher).
• Excellent cross platform C/C++.

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What you'll do

• Design, develop, test, and maintain high‑quality software solutions.
• Collaborate with project managers, product owners, and tech leads to define priorities, estimates, and project plans.

What you need

• Strong understanding of object-oriented programming and solid, reusable design principles.
• Advanced knowledge of programming languages and technologies relevant to the role.

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What you'll do

You will work with analysts, understand requirements, and develop technical specifications for ETLs

• You will implement efficient, scalable and reliable data pipelines to move and transform data.
• You will promote strategies to improve our data modelling, quality and architecture
• You will work with big data solutions, ETL pipelines and dashboard tools.

What you need

• 5+ years relevant industry experience in a data engineering role and graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
• Proficiency in writing SQL queries and knowledge of cloud-based databases like Snowflake, Redshift, BigQuery or other big data solutions

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What you'll do

• Design new features or additions to existing features.
• Work with designers to gather requirements and propose solutions.
• Implement a feature's logic, game flows, and screens.
• Collaborate with a large team of other engineers.

What you need

• 5+ years of C++ software development.
• 1+ years of technical leadership experience.
• Knowledge of data-driven and object-oriented design.
• Knowledge of design patterns, such as MVVM.
• Proficiency with debugging and profiling tools.
• Experience with version control systems.
• Experience architecting and implementing complex systems within a large codebase.

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What you'll do

• Develop and maintain high-quality digital verification environments, including UVM, SystemVerilog, and C++.
• Collaborate with cross-functional teams to develop and verify complex digital designs.
• Identify and prioritize verification tasks to meet project timelines and quality standards.
• Develop and execute verification plans, including testbenches, test cases, and coverage metrics.
• Collaborate with design teams to develop and verify complex digital designs.

What you need

• Bachelor's degree in Computer Science, Electrical Engineering, or related field.
• 10+ years of experience in digital verification, including UVM, SystemVerilog, and C++.
• Strong understanding of digital design principles and verification methodologies.
• Excellent communication and collaboration skills.
• Experience with Agile development methodologies and version control systems.

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