Our team works on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes. You'll work on complex, real-world ML problems at massive scale, and contribute to technical strategy, architecture, and long-term ML roadmap.

Responsibilities:

• Design, build, and deploy production-grade machine learning models and systems at scale
• Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring
• Build scalable data and model pipelines with strong reliability, observability, and automated retraining
• Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems
• Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions
• Improve system performance across latency, throughput, and model quality metrics
• Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment

Basic Qualifications:

• 3-5+ years of experience building, deploying, and operating machine learning systems in production
• Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals
• ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)
• Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
• Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure
• Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions
• Experience improving measurable metrics through applied machine learning

Preferred Qualifications:

• Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems
• Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.)
• Experience working with real-time systems and low-latency production environments
• Background in feature engineering, model optimization, and production monitoring
• Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale
• Advanced degree in Computer Science, Machine Learning, or related quantitative field

Potential Teams:

• Ads Measurement Modeling
• Ads Targeting and Retrieval
• Advertiser Optimization
• Ads Marketplace Quality
• Ads Creative Effectiveness
• Ads Foundational Representations
• Ads Content Understanding
• Ads Ranking
• Feed Relevance
• Search and Answers Relevance
• ML Understanding
• Notifications Relevance

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

Pay Transparency:

This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave.

To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base salary range for this position is: $185,800-$260,100 USD

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Your responsibilities will include:

• Designing, building, and deploying production-grade machine learning models and systems at scale
• Owning the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring
• Building scalable data and model pipelines with strong reliability, observability, and automated retraining
• Working with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems
• Partnering cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions

You'll work on a wide range of high-impact problems across the Reddit ecosystem, including recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, and multimodal embedding systems.

To be successful in this role, you'll need:

• 3-5+ years of experience building, deploying, and operating machine learning systems in production
• Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals
• ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)
• Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
• Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure
• Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions

Preferred qualifications include experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems, familiarity with distributed systems and large-scale data processing, and experience working with real-time systems and low-latency production environments.

At Reddit, we're committed to building a workforce representative of the diverse communities we serve. We're proud to be an equal opportunity employer and are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

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As a senior member of the team, you will champion modern, AI-enhanced quality practices and help build a culture where continuous improvement, automation-first thinking, and data-driven decisions are embedded at every stage of product development. This is a hybrid position in Mountain View (Headquarters) and will require in-office work 2 days a week.

The base salary range for this full-time position is $210,000 to $257,000, plus equity and benefits. Our salary ranges are determined by role, level, and location. EarnIn provides excellent benefits for our employees, including healthcare, internet/cell phone reimbursement, and a learning and development stipend.

Quality Engineering & Test

Own end-to-end quality across iOS and Android applications and their supporting backend services, ensuring high confidence in weekly (or faster) releases. Design and implement comprehensive test strategies covering:

• Native mobile applications (iOS & Android)
• Mobile-to-backend integrations (REST APIs, auth flows, event-driven systems)
• Microservices and distributed systems
• Critical web workflows that intersect with mobile journeys
• Device, OS, browser, and network variability
• App lifecycle events, offline behavior, retries, and edge cases

Ensure critical user journeys are validated across mobile UI → API → backend → web touchpoints, preventing production escapes in high-impact flows. Partner with engineering teams to embed quality gates into the mobile release lifecycle, including pre-merge validation, release candidate verification, and post-deploy smoke testing.

Drive improvements in testability by introducing better logging, API contracts, observability hooks, feature flags, and deterministic state management. Establish meaningful quality metrics (crash analytics, defect trends, flaky tests, API reliability, release risk scoring) and surface actionable insights to engineering stakeholders.

Champion shift-left quality by influencing design reviews, API schema discussions, and acceptance criteria early in development.

AI-Driven Quality and Automation

Leverage AI to enhance mobile, backend, and web testing effectiveness, including:

• AI-assisted test case and test data generation
• Intelligent regression suite prioritization based on code changes
• Predictive defect detection and risk-based testing
• Flaky test detection and automated stabilization insights

Integrate AI-powered log intelligence, crash clustering, and anomaly detection into quality workflows. Continuously evaluate and experiment with AI-driven QA tools to increase coverage, reduce maintenance overhead, and accelerate release cycles.

Contribute to building an AI-augmented quality ecosystem that improves speed without compromising reliability.

Automation Excellence

Design, build, and scale robust automation frameworks using:

• XCUITest, Espresso, Appium (mobile automation)
• Playwright (web and mobile web validation)
• REST Assured or similar tools for API and service validation

Ensure frameworks are modular, maintainable, and optimized for scale across multiple teams. Integrate automated validation into CI/CD pipelines (Jenkins, GitHub Actions, etc.) to enable:

• Pre-merge quality gates
• Parallelized execution
• Environment-aware test runs
• Post-deployment smoke and regression coverage

Build developer-friendly tooling that enables:

• Self-service test execution
• Real-time reporting and dashboards
• Faster debugging and failure triage
• Scalable test data and environment management

Continuously reduce flakiness, improve signal quality, and optimize execution time across mobile and backend suites.

Performance, Scalability & Reliability

Design and execute performance validation across:

• Mobile app startup time and responsiveness
• API latency, throughput, and reliability
• Backend load and stress conditions
• Web performance for critical flows

Partner with engineering teams to analyze production logs, crash reports, browser telemetry, and service metrics. Lead root-cause analysis of complex cross-layer defects spanning mobile UI, APIs, backend services, and web surfaces.

Ensure reliability validation is embedded directly into release workflows.

Cross-Functional Collaboration and Leadership

Collaborate closely with mobile engineers, backend developers, web engineers, product managers, DevOps teams, and release managers to define clear, testable requirements and release criteria. Actively participate in sprint grooming, planning, stand-ups, and retrospectives.

Influence best practices around mobile-first design, API contracts, and release readiness. Support mobile app release activities, including release candidate validation, go/no-go recommendations, and post-release monitoring.

Mentor junior QA engineers and contribute to raising the technical bar in automation and cross-platform validation. Work effectively with globally distributed teams to coordinate testing across time zones.

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How often do you get the opportunity to be on the ground floor of a big and important mission? As a Senior Data Scientist for Dropbox's AI-first journey, you will join a team of top-tier data scientists and become an integral part of the product organisation, helping to scale this new business.

You will partner directly with Data Science, Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way!

Responsibilities

• Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities' long-term growth
• Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies
• Perform exploratory and deep-dive analysis to understand user workflows and engagement patterns on AI features, propose hypothesis, and design & execute experiments with great rigor and efficient data techniques
• Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written
• Identify what matters most and prioritise ruthlessly for the area you will own
• Contribute to a culture of strong technical ownership, partner with DS leadership to keep evolving DS working model and elevate DS impact
• Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

Requirements

• Bachelor's or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
• 7+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company
• Proven track record of being able to work independently, drive measurable business impact, and proactively engage with business stakeholders with minimal direction
• Proficiency in SQL, Python or other programming/scripting languages
• Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
• Ability to provide data insights and recommendations for 0→1 product even when sample size is small
• Strong verbal and written communication skills

Preferred Qualifications

• Experience in startups or building 0→1 products
• Expertise in using data to inform AI/ML product development
• Background in SaaS product

Compensation

US Zone 2: $173,700-$234,900 USD US Zone 3: $154,400-$208,800 USD

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As a Senior Firmware Engineer, you will design, implement, and maintain embedded firmware features that enable secure, scalable, and reliable control across CoreWeave's high-performance compute infrastructure. You will work independently on complex components, collaborate closely with cross-functional teams, and help set best practices for firmware quality and performance.

Key Responsibilities:

• Design & Implement: Develop and enhance OpenBMC firmware in C++ for CoreWeave's custom server platforms, contributing to key subsystems such as sensor management, power and thermal control, networking, and system monitoring.

• Integrate & Debug: Collaborate with hardware design, platform software, and reliability teams to integrate firmware with new hardware and validate performance across diverse environments.

• Optimize: BMC Performance and Harden Security

• Root Cause Analysis: Perform deep system-level debugging using tools such as GDB, JTAG, or logic analyzers to resolve cross-layer issues between hardware, firmware, and OS.

• Automate & Validate: Contribute to continuous integration and automated testing frameworks for OpenBMC build and validation.

• Document & Share: Maintain clear technical documentation and participate in design reviews to ensure consistency and maintainability across the firmware codebase.

• Collaborate Broadly: Partner with other ICs and technical leads across CoreWeave's infrastructure engineering, hardware design, and operations teams to align firmware capabilities with platform and datacenter goals.

Minimum Qualifications:

• Experience: 4+ of professional experience in firmware or embedded systems development, including direct work with Linux-based OpenBMC firmware.

• Education: Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field.

Technical Skills:

• Proficiency in C/C++ for embedded systems.

• Hands-on experience with OpenBMC, Yocto Project, and embedded Linux environments.

• Familiarity with hardware interfaces and protocols (I2C, SPI, UART, GPIO, IPMI, DMTF Redfish)

• Experience with hardware bring-up, board-level debugging, and sensor integration.

• Comfort with Linux kernel configuration, device trees, and BSP-level integration.

• Working knowledge of source code control system such as Git

• Comfort with debugging tools such as GDB JTAG and debugging over serial or remote consoles.

• Basic scripting skills in Python or Bash for build automation and validation.

• Strong problem-solving and analytical thinking; able to break down complex system-level issues.

• Communicates effectively with peers across hardware, firmware, and operations teams.

• Self-driven with a focus on delivering high-quality, maintainable code.

• Thrives in a fast-paced environment and balances multiple priorities effectively.

Preferred Qualification:

• Experience developing CI/CD pipeline for firmware builds and regression testing

• Exposure to large-scale datacenter or HPC environments

• Contributions to open-source firmware projects or upstream Linux development

The base salary range for this role is $153,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer

The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.

In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

• Medical, dental, and vision insurance - 100% paid for by CoreWeave

• Company-paid Life Insurance

• Voluntary supplemental life insurance

• Short and long-term disability insurance

• Flexible Spending Account

• Health Savings Account

• Tuition Reimbursement

• Ability to Participate in Employee Stock Purchase Program (ESPP)

• Mental Wellness Benefits through Spring Health

• Family-Forming support provided by Carrot

• Paid Parental Leave

• Flexible, full-service childcare support with Kinside

• 401(k) with a generous employer match

• Flexible PTO

• Catered lunch each day in our office and data center locations

• A casual work environment

• A work culture focused on innovative disruption

Our Workplace

While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.

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You'll collaborate with our technical team to train models on human interactions, problem-solving, and discussions; refine annotation tools; and select/create challenging problems in statistics to boost performance.

All of our AI Tutor roles potentially involve gathering or providing data in text, voice, and video formats, including annotations, audio recordings, or video sessions,tasks with which candidates must be comfortable.

Responsibilities:

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Choose problems from statistical domains that align with your expertise, focusing on areas such as probability theory, inferential statistics, regression modelling, multivariate analysis, stochastic processes, Bayesian methods, experimental design, and data-driven applications where you can confidently provide detailed solutions and evaluate model responses.

Basic Qualifications:

• Must have either (a) a Master’s or PhD in Statistics (or Mathematics with a specialisation in statistics or probability) or (b) a medal in an International Math Olympiad (IMO), International Statistical Olympiad, or similar competition.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources and databases.
• Outstanding communication, interpersonal, analytical, and organisational capabilities.
• Solid reading comprehension skills combined with capacity to exercise autonomous judgement even when presented with limited data/material.
• A strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience:

• PhD in Statistics or a closely related quantitative field.
• Peer-reviewed publications in statistics, probability, or applied statistical modelling.
• Previous AI Tutoring experience and/or experience teaching college-level statistics courses.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.
• For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.
• We are unable to provide visa sponsorship.
• For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US based candidates: $45/hour - $75/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.

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Joining on the ground floor of this startup team, you'll partner directly with Data Science, Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way!

Responsibilities

• Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities' long-term growth
• Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies
• Perform exploratory and deep-dive analysis to understand user workflows and engagement patterns on AI features, propose hypothesis, and design & execute experiments with great rigor and efficient data techniques
• Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written
• Identify what matters most and prioritise ruthlessly for the area you will own
• Contribute to a culture of strong technical ownership, partner with DS leadership to keep evolving DS working model and elevate DS impact
• Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

Requirements

• Bachelor's or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
• 7+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company
• Proven track record of being able to work independently, drive measurable business impact, and proactively engage with business stakeholders with minimal direction
• Proficiency in SQL, Python or other programming/scripting languages
• Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
• Ability to provide data insights and recommendations for 0→1 product even when sample size is small
• Strong verbal and written communication skills

Preferred Qualifications

• Experience in startups or building 0→1 products
• Expertise in using data to inform AI/ML product development
• Background in SaaS product

Compensation

Canada Pay Range $162,400-$219,600 CAD

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Key responsibilities include:

• Owning customer success through the design and delivery of a fully operational mission system for a new maritime platform.
• Partnering with the Vehicle Software team to develop core sensor, actuator, and vehicle system functionality.
• Driving architecture selection and design for robotic mission systems, including hardware selection, compute, storage, and network architecture.
• Contributing to the design and development of a company-wide roadmap for mission system integration into maritime platforms.
• Leading teams that develop software that runs on- and off-platform, using a variety of technologies.
• Driving the design and implementation of development processes for the initial delivery and subsequent iteration of mission software, including full lifecycle testing.
• Supporting vehicle manufacturing and deployment.
• Leading teams of multi-disciplinary engineers, including as a mentor for Senior Software Engineers from differing backgrounds.

Required qualifications include:

• Experience in a senior role for the delivery of a military mission system.
• Experience with the development and sustainment of distributed software platform and application architectures, running under dynamic network topologies.
• Experience with modeling and simulation.
• Experience with development of high assurance safety-critical software.
• Experience with development of comprehensive unit test and regression.
• Deep understanding of autonomous weapons systems, inclusive of payload capabilities and both commercial and military mission sets.
• Experience within the product delivery lifecycle including manufacturing, system acceptance, deployment, and sustainment.
• Familiarity with vehicle management systems.
• Familiarity with System Engineering concepts.

Preferred qualifications include:

• Bachelor's degree in Robotics, Mechatronics, Computer Science, Engineering, or a relevant field.
• Experience in a leadership position within a high-performing technology organization.
• Systems and/or application programming skills including algorithms, data structures, concurrency, and optimization.
• Experience troubleshooting and analyzing remotely deployed software systems.
• Capacity to work holistically on software-enabled capabilities up and down the software stack and through lifecycle through design, implementation, operation, and sustainment.
• Capacity to act as the technical owner for an entire mission system, including stakeholder and customer engagement, requirements definition, roadmap management, team coordination, design, implementation, sustainment, and evolution.
• Capacity to learn and grow individually, while mentoring senior team members effectively, building team cohesion and capacity.
• 5+ years of operational experience with autonomous maritime systems.

The salary range for this role is $191,000-$253,000 USD.

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You'll collaborate with our technical team to train models on human interactions, problem-solving, and discussions; refine annotation tools; and select/create challenging problems in statistics to boost performance.

Responsibilities:

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Choose problems from statistical domains that align with your expertise, focusing on areas such as probability theory, inferential statistics, regression modeling, multivariate analysis, stochastic processes, Bayesian methods, experimental design, and data-driven applications where you can confidently provide detailed solutions and evaluate model responses.

Basic Qualifications:

• Must have either (a) a Master’s or PhD in Statistics (or Mathematics with a specialization in statistics or probability) or (b) a medal in an International Math Olympiad (IMO), International Statistical Olympiad, or similar competition.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources and databases.
• Outstanding communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension skills combined with capacity to exercise autonomous judgment even when presented with limited data/material.
• A strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience:

• PhD in Statistics or a closely related quantitative field.
• Peer-reviewed publications in statistics, probability, or applied statistical modeling.
• Previous AI Tutoring experience and/or experience teaching college-level statistics courses.

XML job scraping automation by YubHub

Our team is responsible for building systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes. You will work on high-impact systems that improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems.

As a Senior Machine Learning Engineer, you will:

• Design, build, and deploy production-grade machine learning models and systems at scale
• Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring
• Build scalable data and model pipelines with strong reliability, observability, and automated retraining
• Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems
• Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions
• Improve system performance across latency, throughput, and model quality metrics
• Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment

Basic Qualifications:

• 3-5+ years of experience building, deploying, and operating machine learning systems in production
• Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals
• ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)
• Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
• Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure
• Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions
• Experience improving measurable metrics through applied machine learning

Preferred Qualifications:

• Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems
• Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.)
• Experience working with real-time systems and low-latency production environments
• Background in feature engineering, model optimization, and production monitoring
• Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale
• Advanced degree in Computer Science, Machine Learning, or related quantitative field

Potential Teams:

• Ads Measurement Modeling
• Ads Targeting and Retrieval
• Advertiser Optimization
• Ads Marketplace Quality
• Ads Creative Effectiveness
• Ads Foundational Representations
• Ads Content Understanding
• Ads Ranking
• Feed Relevance
• Search and Answers Relevance
• ML Understanding
• Notifications Relevance

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

Pay Transparency:

This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is $216,700-$303,400 USD

XML job scraping automation by YubHub

Responsibilities:

• Work with technical and business teams to develop robust insights, create data narratives and leverage Airbnb’s rich data to define metrics.
• Build advanced analytical capabilities and tools, passionate about solving complex problems with data; adding a new perspective to existing solutions and making business decisions based on careful and thoughtful analysis.
• Leverage Airbnb’s state-of-art machine learning infrastructure, and other central data science tools to build and collaborate with a strong team of engineers, product managers, designers and operation agents to achieve shared, cross-functional goals.
• Develop a deep understanding of how guests and hosts interact with our payments platform and how we can manage our risk while meeting our regulatory compliance requirements, through structured and unstructured data sources.

A Typical Day:

• Execute projects with regular direction; Set a roadmap for projects up to a quarter ahead providing constant updates to business stakeholders, analytics management and deliver against agreed timelines.
• Ensure the availability of data quality and data integrity for analysis and reporting, by blending external and internal data, working closely with global operations and India analytics functions.
• Perform data modeling for the various entities involved in Airbnb including customers, hosts, cases, agents, and others using modern data modeling tools and frameworks to provide the analytical foundation of Airbnb’s Advance Analytics positions.
• Execute ad-hoc reporting, data investigations, and root cause analysis into various operational areas including policy incubation, enforcement efficacy, prevalence, efficiency, agent tooling, agent staffing & optimization, and agent quality & efficiency to identify and solve for operational bottlenecks and inefficiencies.
• Devise business metric frameworks and optimization models to make optimal business decisions that support arguments for Airbnb’s product, operations and policy issues - Influence data-driven decisions across global sites and business verticals in day-to-day via business reviews, self-serve portal, planning scorecards, and impact analyses among others.
• Experiment with new Airbnb policy / product features to help deter and mitigate risk - Influence machine learning models in partnership with DS / Engg teams to automate policy enforcement decisions, while enqueueing the most complex cases for manual review by agents

Your Expertise:

• 6+ years of industry experience and an Advanced degree in Business Analytics or other (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research).
• Good communication and collaboration skills with the ability to work effectively with internal teams in a cross-cultural and cross-functional environment. Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences
• Proven track record of delivering full stack data projects from inception to business impact.
• Advanced level proficiency in SQL/NoSQL, programming languages such as Python, R, SAS and Intermediate level knowledge of data foundations and databases like Presto, Hive, Teradata, Spark.
• Familiarity with EDA, hypothesis testing, significance testing, linear regression, logistic regression, SVM, ridge regression, lasso regression, random forest, basic concepts of NLP, KNN, K-Means, A/B testing, multivariate testing, and digital funnel testing.
• Beginner level understanding of statistical and machine learning techniques, Tableau or similar BI platform to develop reports and dashboards
• Have a positive and solution-oriented mindset with an ability to maintain confidentiality and objectivity.
• Exceptional problem-solving abilities, self-motivation and ability to work autonomously, strong organizational and time management skills, with the ability to manage multiple priorities and meet deadlines.
• Knowledge and experience in payments processes, systems and tools would be a plus - Knowledge and experience in risk/compliance processes and data needs would be a plus

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

How We'll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range shown below is annualized, is inclusive of allowances and is subject to change and may be modified in the future. This role may also be eligible for bonus or incentives, one or more equity programs, benefits, and Employee Travel Credits. India Annual Pay Range₹1,890,000-₹2,700,000 INR

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Your role will center around designing scalable, automated test infrastructure, validating mission-critical behaviors across simulation and real aircraft environments, and enabling rapid, safe deployment of software to flight operations. You'll partner closely with engineering, product, and flight test teams to ensure the system is testable, traceable, and always ready for mission.

This role focuses on accelerating software maturity and validation through rigorous, automated, and traceable testing practices for the VBAT platform.

Responsibilities:

• Build a world-class software and system test infrastructure for rapid software deployments
• Own end-to-end system test strategy for software-in-the-loop (SIL), hardware-in-the-loop (HIL), and vehicle-in-the-loop (VIL) environments,scaling them for continuous integration and rapid release cycles
• Design and implement mission-critical system test cases validating autonomous behaviors, requirements compliance, and operational edge cases across nominal, safety-critical, and degraded conditions
• Coordinate and execute flight test and software release campaigns, working cross-functionally with autonomy, embedded systems, flight ops, and safety engineering teams

Required qualifications:

• BS or MS in Computer Science, Aerospace Engineering, Electrical Engineering, Robotics, or related field
• 8+ years of experience in software testing, systems testing, or verification & validation for complex, safety-critical or mission-critical systems (autonomy, aerospace, defense, robotics, UAVs, etc.)
• 3+ years of experience leading teams, including some experience managing other managers
• Strong proficiency in test automation, scripting, data analysis, and test infrastructure development
• Hands-on experience building and maintaining automated test frameworks (SIL, HIL, VIL, CI/CD pipelines)
• Experience validating autonomous behaviors or distributed real-time systems
• Deep understanding of software verification methodologies, including requirements traceability, test planning, and regression testing
• Experience with hardware-in-the-loop testbeds, embedded systems, or avionics integration
• Ability to design system-level test cases including edge cases, degraded modes, and safety-critical scenarios
• Strong ability to work cross-functionally with autonomy, avionics, embedded, and flight ops teams
• Excellent communication and documentation skills, especially around test plans, procedures, and safety considerations

Preferred qualifications:

• Experience testing unmanned aircraft systems (UAS), rotorcraft, or airborne mission systems
• Knowledge of DO-178C, MIL-STD-882, STANAG, or other safety/airworthiness frameworks
• Experience with simulation tools (Gazebo, Isaac, ROS/ROS2 simulation, custom autonomy sims, etc.)
• Experience with continuous integration systems (Jenkins, GitLab CI, Buildkite, etc.)
• Knowledge of autonomy algorithms (navigation, planning, perception) sufficient to design adversarial or mission-based test scenarios
• Comfort operating in dynamic R&D environments where rapid iteration and tight feedback loops are the norm

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As the initial QA owner, you will design, execute, and report on test cycles for enterprise applications and integrations. You will also define and implement QA operating rhythms and governance, including test plans, entry/exit criteria, defect triage, release readiness, and post-release validation.

Key responsibilities include:

• Building and owning the QA strategy for Enterprise Technology, including standards, test planning, and quality gates across the delivery lifecycle.

• Operating hands-on as the initial QA owner: design, execute, and report on test cycles (functional, integration, regression, and UAT support) for enterprise applications and integrations.

• Defining and implementing QA operating rhythms and governance: test plans, entry/exit criteria, defect triage, release readiness, and post-release validation.

• Partnering with product and delivery teams to translate requirements and user stories into testable acceptance criteria and comprehensive test coverage.

• Establishing and maintaining a QA toolchain (test case management, defect tracking, and reporting) and integrating it with existing delivery tooling where applicable.

• Driving integration and end-to-end testing across enterprise platforms, including but not limited to Salesforce, NetSuite, Workday, MuleSoft/integration layer, MES touchpoints, analytics platforms, Slack/Confluence, DocuSign, and Ashby.

• Designing and maintaining regression testing approaches to minimize production defects as systems scale and change velocity increases.

• Implementing lightweight automation where it adds clear value, prioritizing maintainability and high-impact regression coverage.

• Ensuring documentation, auditability, and traceability from requirements through testing and release, aligned with change management and internal control expectations.

• Tracking and communicating quality metrics (defect trends, test coverage, escape rate, cycle time) to drive continuous improvement.

The ideal candidate will have 7+ years of experience in Quality Assurance, Test Engineering, or QA leadership roles supporting enterprise technology products and integrated systems. They will also have demonstrated experience building or formalizing QA processes and operating models in a growing or scaling organization.

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RF Software QA Engineer

Athens, Attica, Greece

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Category: EngineeringHire Type: Employee

Job ID 16582Date posted 03/26/2026

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. Join us to transform the future through continuous technological innovation.

You Are:

You are a passionate engineer eager to make a tangible impact in the world of electronics and semiconductor technology. With a foundation in engineering or computer science and a strong understanding of high-frequency principles, you thrive in environments where precision and quality are paramount. You possess a keen analytical mind, able to dissect complex systems, spot potential flaws, and devise robust testing strategies that ensure products exceed customer expectations. Your experience with software testing, combined with technical proficiency in scripting, enables you to automate and streamline verification processes efficiently.

You enjoy collaborating with multidisciplinary teams, communicating technical insights, and contributing to a culture of continuous improvement. Adaptable and quick to learn, you embrace new technologies and computing environments, from Windows and Linux to cloud platforms. Your attention to detail and commitment to quality drive you to pursue excellence in every aspect of your work. You are motivated by the opportunity to work with cutting-edge tools like Ansys HFSS and HFSS 3D Layout, and you are excited to help shape products that advance the industry. If you value teamwork, innovation, and the pursuit of technical excellence, Synopsys offers you a place to grow and make a difference.

What You’ll Be Doing:

• Designing, specifying, and writing comprehensive test cases to validate software functionality and performance.

• Developing, updating, and maintaining test scripts for both manual and automated test environments.

• Conducting functional, regression, application, and performance testing to ensure product reliability and quality.

• Creating detailed test plans, participating in defect management processes, and tracking testing metrics.

• Collaborating closely with developers and technical specialists to understand, reproduce, and resolve product defects.

• Working across diverse computing environments, including Windows, Linux, virtual machines, compute clusters, and cloud platforms.

• Ensuring that product releases meet feature specifications and quality standards before approval for deployment.

The Impact You Will Have:

• Elevate the quality and reliability of Synopsys’ industry-leading engineering software, directly impacting customer satisfaction and trust.

• Accelerate product development cycles by identifying and resolving defects early in the process.

• Ensure that new features and enhancements meet rigorous standards, supporting the success of advanced technology solutions in the market.

• Contribute to the successful deployment of products used in high-impact industries, such as electronics, semiconductors, and communications.

• Enhance collaboration between development and quality assurance teams, driving continuous process improvement.

• Support Synopsys’ reputation for technical excellence and innovation, helping to maintain our leadership position in the industry.

What You’ll Need:

• BS in Engineering or related field with at least 3 years of experience, or MS with at least 1 year of experience.

• Technical background in high-frequency principles and applications, including RF and microwave electronics, antennas, signal integrity, and EMI/EMC.

• Proficiency in programming and scripting languages, particularly Python.

• Experience with software testing methodologies, including functional, regression, and performance testing.

• Familiarity with computing environments such as Windows, Linux, virtual machines, compute clusters, and cloud platforms.

• Experience with EDA/CAE software and analysis tools (Ansys HFSS experience is a plus).

• Strong attention to detail and the ability to create, modify, and maintain complex test scripts.

Who You Are:

• Detail-oriented, analytical, and committed to delivering high-quality work.

• Quick learner who adapts easily to new technologies and processes.

• Effective communicator and collaborator, able to work across distributed teams.

• Open-minded and eager to contribute innovative ideas.

• Proactive problem solver with strong interpersonal skills.

The Team You’ll Be A Part Of:

You will join the Electronics, Semiconductor and Optics Business Unit (ESOBU), a dynamic team dedicated to advancing Synopsys’ industry-leading products. Our team focuses on developing and verifying software applications that enable customers to design, simulate, and optimize complex electronic systems. We foster a collaborative environment where technical specialists, developers, and verification engineers work together to deliver excellence and drive innovation.

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.

#AnsysJob, #LI-Hybrid

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You are a passionate and driven R&D Engineer with a deep understanding of data structures, algorithms, and their applications. You have a strong background in software development, particularly with C/C++ on UNIX/Linux platforms, and are eager to tackle complex, large-scale software code-based tool development. With a minimum of 8 years of related experience, you have honed your analytical, debugging, and problem-solving skills. You thrive in both self-directed and collaborative environments and are committed to continuous learning and exploration of new technologies. Your excellent communication skills in English enable you to effectively collaborate with team members and present your ideas clearly.

Supporting the existing functionality of our tools and continually enhancing their versatility, performance, and memory utilization while improving software quality. Applying extensive knowledge of algorithms and data structure design to develop robust and efficient implementations that improve tool performance and customer adoption. Interacting with other Synopsys R&D members and customers to understand their needs and product goals. Contributing to the development of complex software code-based tools in a multi-person product development environment with high dependencies and tight schedules. Exercising judgment in developing methods, techniques, and evaluation criteria to meet project goals. Collaborating with a team of enthusiastic and creative engineers to drive innovation and excellence.

Enhancing the performance and quality of our verification tools, leading to increased customer satisfaction and adoption. Driving continuous improvement in software development processes and practices. Contributing to the development of cutting-edge technologies that power innovations in various industries. Helping Synopsys maintain its leadership position in the market by delivering high-performance solutions. Influencing the direction and success of our hardware verification tools through your expertise and innovation. Fostering a collaborative and innovative work environment that encourages growth and learning.

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We are seeking a highly motivated Staff Engineer to join our team, focusing on AI/ML and Digital Twin technologies. As a Staff Engineer, you will lead and execute technical engagements across the customer lifecycle, including discovery, solution development, demonstrations, evaluations, and deployment.

Responsibilities

• Lead and execute technical engagements across the customer lifecycle, including discovery, solution development, demonstrations, evaluations, and deployment.
• Engage directly with customers to understand engineering workflows, data availability, and decision-making processes, translating them into AI-enabled simulation and digital engineering solutions.
• Develop and implement differentiated solutions using technologies such as automation, reduced order modeling, optimization, simulation democratization, system-level modeling, and digital twins.
• Integrate machine learning models within simulation and digital twin pipelines to improve prediction accuracy, reduce computational cost, and enable near real-time insights.
• Define and deliver automated and scalable workflows that reduce reliance on expert-driven simulation and enable broader adoption across engineering teams.
• Lead or contribute to first-of-a-kind or ambiguous use cases, including AI-assisted design exploration, surrogate modeling, and digital twin deployment.
• Collaborate closely with product development teams to influence roadmap, validate new capabilities, and improve usability of AI-enabled features.
• Deliver professional services, training, and technical guidance to ensure successful adoption of advanced workflows.
• Support pre-sales and technical marketing activities through demonstrations, evaluations, and industry engagement.

Benefits

• Enable customers to transition from traditional simulation to AI-augmented and automated engineering workflows.
• Reduce time-to-insight through surrogate modeling, optimization, and intelligent automation.
• Expand access to simulation by supporting democratization across engineering and non-expert users.
• Drive adoption of digital twin technologies for predictive and operational decision-making.
• Influence product direction by connecting real-world use cases with next-generation AI-enabled capabilities.
• Contribute to business growth through high-impact technical engagements and solution delivery.

Requirements

• MS (or PhD) in Engineering, Computer Science, Applied Mathematics, or related field.
• 5+ years of experience in engineering systems, simulation, or data-driven modeling.
• Strong programming skills (Python preferred).
• Experience working with modeling, simulation, optimization, or data-driven engineering workflows.
• Strong analytical, problem-solving, and communication skills.
• Ability to operate effectively in a customer-facing, consultative engineering role.
• Proven experience in automation of engineering workflows or pipelines using tools such as optiSLang, modeFrontier, HEEDS or equivalent.
• Demonstrated expertise applying machine learning techniques in engineering contexts, including surrogate modeling, regression methods, or neural networks (CNNs, RNNs, autoencoders).
• Understanding of projection-based ROMs, dimensionality reduction, and feature engineering.
• Knowledge of multi-fidelity system modeling using Twin Builder, Simulink, AMESim or equivalent.
• Familiarity with deployment and operationalization of AI models, including integration into engineering workflows and use of frameworks such as PyTorch, TensorFlow, scikit-learn, Kubernetes, AWS/Azure equivalent.
• Exposure to cloud or HPC-based environments for large-scale simulation or data processing.

Who We Are Looking For

• Customer-focused and able to build trusted relationships.
• Comfortable working in ambiguous, fast-evolving technical environments.
• A strong communicator who can translate complex concepts into actionable insights.
• Self-driven, organized, and capable of managing multiple priorities.
• A collaborative team player who contributes to a culture of learning and innovation.

The Team You’ll Be A Part Of

You will be part of a multidisciplinary engineering team focused on advancing industry adoption of simulation through AI, automation, digital twin, and MBSE technologies. The team collaborates closely with customers, product development, and go-to-market functions to deliver innovative, high-impact solutions.

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Responsibilities:

System Level Quality Ownership: Own system level quality outcomes for the ART, ensuring the integrated solution is validated end to end. Ensure system level testing validates integration and readiness and does not compensate for missing team level verification. Provide a single point of accountability for ART level quality visibility and decision support.

Scenario Governance & Must Pass Coverage: Own and maintain the ART must pass scenario catalog, ensuring scenarios reflect business intent, deployment scope, and risk. Curate, prioritize, and evolve scenarios based on escaped defects, deployment outcomes, and PI learning. Ensure scenarios are executed consistently and results are recorded as readiness evidence.

System & Regression Test Orchestration: Orchestrate system integration testing, end to end business scenario execution, and ART level regression in integrated environments (primarily QA). Coordinate trigger-based regression execution (build, QA deploy, prerelease), ensuring failures are routed to owning teams for remediation. Ensure regression coverage is layered, risk based, and scalable, not monolithic.

Readiness Evidence & Deployment Support: Own deployment, release, and feature flag readiness reporting, consolidating evidence for Sprint 2 and Sprint 4 deployments. Ensure readiness decisions are based on explicit evidence, including: regression outcomes, must pass scenario execution, feature flag ON/OFF validation, documented risks and waivers. Support GO / GO with risk / NO GO decision forums with clear quality signals.

Defect Triage & Risk Visibility: Coordinate system level defect triage, ensuring ownership, prioritization, and visibility of cross-team issues. Track and surface systemic quality risks and integration issues to ART leadership. Ensure explicit risk acceptance is documented when defects or gaps are waived.

Environment & Test Data Oversight: Track QA and UA environment stability and test data readiness as ART level risks or impediments. Reinforce correct environment usage: QA as the primary integrated environment for functional confidence, UA for selective business validation, UA1, Batlab, and Production for deploy/ops verification only. Partner with DevOps and teams to resolve environment and data issues impacting system validation.

Continuous Improvement & Inspect & Adapt: Consolidate quality inputs for Inspect & Adapt, including escaped defects, regression effectiveness, scenario coverage gaps, and environment issues. Drive ART level quality improvements with named owners and funded capacity each PI. Ensure learning results in measurable, planned change rather than ad hoc fixes.

Collaboration & Enablement: Partner closely with: System Automation Tester on suite health, automation standards, and expansion, Product Management and Business Owners on outcome validation and risk acceptance, RTE on quality visibility, capacity funding, and escalation of systemic risks, Provide guidance and coaching on system level quality expectations and evidence standards.

Success Measures: Deployment and release decisions are supported by clear, trusted readiness evidence. Must pass scenarios accurately reflect business critical flows and are consistently executed. System level defects and risks are visible early and owned by the correct teams. Quality improvement actions are planned, funded, and completed each PI.

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They work on intricate tasks such as chip architecture, circuit design, and verification to ensure the efficiency and reliability of semiconductor products.

These engineers play a crucial role in advancing technology and enabling innovations in various industries.

We are seeking a highly skilled and experienced ASIC verification professional to lead technical teams and drive excellence in digital design.

As a Sr Staff Engineer - DDR, you will be responsible for technically leading and driving ownership of critical areas of verification alongside a team of talented verification engineers.

You will specify, design, and implement state-of-the-art verification environments for the DesignWare family of synthesizable cores.

You will perform verification tasks for IP cores, working closely with RTL designers and architects to ensure functional correctness.

You will develop and implement advanced test plans and test environments at both unit and system levels.

You will code and debug test cases, including the creation of complex checkers and assertions using System Verilog/UVM.

You will extract and review functional coverage (FC) and code coverage metrics to ensure quality metric goals are met.

You will manage regressions and contribute to the continuous improvement of verification strategies and test environments.

This role requires a deep understanding of verification methodologies, serial interface protocols, and the intricacies of IP core development.

You should have demonstrated experience in technically leading a team for DDR IP projects, with a track record of successful collaboration and stakeholder management.

You should have proven expertise in developing HVL (System Verilog/UVM) based test environments for complex ASIC designs.

You should have advanced skills in developing and implementing rigorous test plans, checkers, and assertions.

You should have strong proficiency in extracting and analyzing verification metrics such as functional coverage and code coverage.

You should have experience with serial interface protocols and IP design/verification processes; knowledge of DDR/LPDDR is highly desirable.

You should have hands-on experience in owning end-to-end verification deliverables for IPs, including planning, execution, DV metrics closure, and review/signoff.

You will join the DesignWare IP Verification R&D team, a group of talented and passionate engineers committed to advancing Synopsys' leadership in semiconductor IP.

The team focuses on delivering world-class verification solutions for a broad portfolio of synthesizable IP cores, leveraging the latest methodologies and technologies to ensure our products meet the most rigorous quality and performance standards.

Collaboration, innovation, and a drive for excellence define our culture.

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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We are looking for a self-motivated software engineer to onboard models to our platform. Collaborate with modellers on the implementation and deployment of financial risk models. Understand client requirements and translate them into software engineering tasks.

Our team

• Is passionate about technology and solving complex problems.
• Develops in Python, working with technologies like Pandas, Apache Arrow, Snowflake, Prefect, Docker, and Azure DevOps.
• Consists of technologists that unlock constant innovation.
• Constantly challenges the technology status quo and looks for ways to improve the platform.

Key Responsibilities

We expect the role to involve the following core responsibilities and would expect a successful candidate to be able to demonstrate skills or experience with the following (not in order of priority):

• Quickly learn the platform and act as a subject matter expert towards modelling teams and product analysts.
• Work with modellers and product analysts to understand the business and their requirements. Help implement those on our platform using engineering best practices.
• Facilitate technical design and code review sessions to ensure software meets functional and compatibility requirements, as well as high quality standards.
• Stay abreast of the latest developments in machine learning, quantitative finance, and technology to incorporate innovative solutions into our platform.
• Enhance the performance of existing models, ensuring they operate efficiently at scale.
• Implementation and maintenance of a standard data / technology deployment workflow to ensure that all deliverables/enhancements are delivered in a disciplined and robust manner.
• Ensure operational readiness of the product and meet customer commitments with regards to incident SLAs.

Skillset

• Strong experience (3+ years) in Python is crucial
• Bachelor’s (BSc) or higher degree in Computer Science or related field
• Experience with Pandas, Apache Arrow, Snowflake, (Prefect is a plus)
• Good understanding of Object-Oriented Design principles
• Fluency with AI coding tools and the use of LLM in everyday development
• Good understanding of fundamental Algorithms and Data Structures
• Knowledge of Azure DevOps and git, CI/CD
• Good understanding of unit tests, integration and regression tests, and their importance
• An aptitude for designing data models and pipelines is a plus
• Ability to understand advanced mathematical and statistical methods and concepts
• Fluency in reading, writing and speaking English

Personal Qualities

• Team player
• Problem-solving skills
• Critical and analytical thinking
• Technical curiosity
• Adaptable

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

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BlackRock is seeking a self-motivated lead software engineer to spearhead the development of its Python financial engineering platform. The platform enables research, implementation, delivery, and execution of financial risk models for internal partners and external clients.

What will you be doing?

• Lead platform development supporting both financial engineers and researchers.
• Facilitate technical design and code review sessions to ensure software meets functional and compatibility requirements, as well as high quality standards.
• Build widely used and reliable fundamental components as part of the platform, distributed as Python libraries.
• Stay abreast of the latest developments in machine learning, quantitative finance, and technology to incorporate innovative solutions into our platform.

Key Responsibilities

• Quickly learn the platform and act as a subject matter expert towards modelling teams.
• Build high quality software that improves the user experience of the downstream modeller and developer.
• Enhance the performance of existing models, ensuring they operate efficiently at scale.
• Implementation and maintenance of a standard data / technology deployment workflow to ensure that all deliverables/enhancements are delivered in a disciplined and robust manner.

Skillset

• Strong experience (5+ years) in Python is crucial.
• Bachelor's (BSc) or higher degree in Computer Science or equivalent field.
• Experience with Pandas, Apache Arrow, Snowflake, (Prefect is a plus).
• Good understanding of Object-Oriented Design principles.
• Good understanding of fundamental Algorithms and Data Structures.
• Knowledge of Azure DevOps and git, CI/CD.
• Good understanding of unit tests, integration and regression tests, and their importance.

Personal Qualities

• Team player.
• Problem-solving skills.
• Critical and analytical thinking.
• Technical curiosity.
• Adaptable.

Our benefits

• Retirement investment and tools designed to help you in building a sound financial future.
• Access to education reimbursement.
• Comprehensive resources to support your physical health and emotional well-being.
• Family support programs.
• Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week.

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This is an ideal role for an experienced tester with an interest in cloud platform solutions, who is looking to further develop their automation testing experience.

Responsibilities

• A variety of backend testing with a focus on containers, deployments, APIs, authentication, access tokens etc...
• Functional, non-functional, regression and security testing
• Familiar with modern coding standards/practices and DevOps, CI/CD pipelines
• Strong knowledge of software QA methodologies, tools, and processes
• Experience with testing tools like JMeter, Postman, or other similar tools would be advantageous
• Exposure to C# / .Net would be beneficial
• Excellent troubleshooting and problem-solving skills, and a proven ability to write clear, concise, and comprehensive test plans and test cases

Benefits

• Excellent work/life balance, including a 4 ½ day working week
• Hybrid working (home and office-based split, requiring regular weekly attendance in the Auckland office)
• Medical and Life insurance (after qualifying period)
• Volunteer day, enhanced paid parental leave and wellness benefits
• Strong mentoring & career development focus
• Fun team events including the Vista Innovation Cup

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We are seeking a highly skilled Testing Manager to lead and manage the testing process for IT projects and small changes, ensuring the quality and reliability of software applications and systems.

The Testing Manager plays a critical role in ensuring that software products meet quality standards, adhere to requirements, and deliver a positive user experience.

Key Responsibilities & Accountabilities

Test Planning

• Develop and implement comprehensive test strategies, plans, and schedules in alignment with project goals and timelines.

Test Execution

• Lead and oversee the testing process, including test case creation, test script development, test environment setup, and test execution.

Test Team Management

• Build and manage a high-performing test team (with contract and perm), including resource allocation, task assignment, performance monitoring, coaching and mentoring.

Stakeholder Management

• Collaborate with project stakeholders, such as project managers, business analysts, and developers, to ensure clear communication, requirements understanding, and timely issue resolution.

Test Documentation

• Create and maintain test artifacts, including test cases, test scripts, test data, and test reports, to ensure proper documentation and traceability of testing activities.

Defect Management

• Establish defect tracking and management processes, including defect identification, prioritisation, and resolution, to ensure timely and effective defect resolution.

Test Automation

• Define and implement test automation frameworks and tools to improve test efficiency, coverage, and reliability.

Quality Assurance

• Ensure quality assurance standards are in place and adherence to quality standards, processes, and best practices is maintained throughout the testing lifecycle across all projects and programmes.

Risk Management

• Identify and mitigate testing risks and issues, proactively addressing potential roadblocks that could impact testing timelines or quality.

Skills & Experience

• 8+ years in software testing, with at least 3 years in a managerial role.

• Strong knowledge of functional, regression, performance, and security testing.

• Experience in tools such as Playwright and knowledge of integrating testing in CI/CD pipelines.

• Familiarity with Agile, Scrum, and DevOps practices.

• Excellent leadership, communication, and stakeholder management skills.

• Experience with cloud-based testing environments (Azure).

• Knowledge of API testing and Dynamics 365 desirable.

• ISTQB or similar certification.

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Ford's Electric Vehicles, Digital and Design (EVDD) team is charged with delivering the company's vision of a fully electric transportation future. EVDD is customer-obsessed, entrepreneurial, and data-driven and is dedicated to delivering industry-leading customer experience for electric vehicle buyers and owners.

Responsibilities

You will learn how to create code and manage data that will directly impact the environment by improving electric vehicle energy efficiency. You'll grow your expertise and analytical skills through collaboration with a global, cross-functional team, ownership of a well-defined project, and exposure to new technology and tools used to improve vehicles and customer experience.

You will have hands-on experience developing and deploying data-driven processes and toolsets to provide insights and guide engineering decisions. You will also have multi-faceted first-hand experience working on next generation electric vehicle, from concept development, prototyping, to vehicle testing and calibration, encompassing both physical and virtual analysis and testing.

Qualifications

You'll have a pursuit of a relevant Bachelor’s degree or master’s degree in computer science, Automotive / Mechanical Engineering or a related field. You'll also have a GPA of 3.0 on a 4.0 scale (or equivalent). You'll be an analytical and creative problem-solving skills, a team player who can work in fast-paced, and multi-disciplinary environment.

Benefits

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:

• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
• Paid time off and the option to purchase additional vacation time.

This position is a salary grade 5.

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We are seeking a highly skilled Data Scientist III to join our EADP Gameplay Services team. As a Data Scientist III, you will play a key role in analysing complex matchmaking datasets to identify patterns, trends, and opportunities that drive data-informed business decisions.

We Are EA

Our platform powers online features for EA’s games, serving millions of users each day. We live, breathe, and dream about how we can make every player’s multiplayer experience memorable. We develop services and SDKs in collaboration with EA’s game studios for matchmaking, stats and leaderboards, achievements, game replays, VOIP, and game networking.

Opportunity Ahead

Our primary mission is to enrich the player’s gaming experience by meticulously optimising the matchmaking process. We believe that effective matchmaking is the cornerstone of any successful multiplayer gaming experience, and we are committed to perfecting this aspect of our service. We continuously reflect and probe various elements to ensure the player’s gaming encounters are both fun and challenging

Key Responsibilities

• Analyse complex matchmaking datasets to identify patterns, trends, and opportunities that drive data-informed business decisions.
• Perform data exploration, mining, and feature engineering to create high-quality datasets for model development.
• Ensure data integrity and governance through robust validation, preprocessing, and quality assurance processes.
• Own model lifecycle including retraining, validation, performance monitoring, and scalability improvement.
• Define experimentation strategy (A/B testing, causal inference) and measure impact on core gameplay KPIs
• Partner with product, business, and engineering to identify new data acquisition opportunities.
• Create reusable analytical tools, libraries, and metrics that enable data-driven decisions.
• Collaborate with data engineers and software engineer across teams to serve their data needs.
• Evangelise data as a first-class citizen through documentation, standards, and reviews.

Must Have Skills

• Bachelor’s or master’s degree in computer science, Data Science, AI/ML, Statistics, or a related field (or equivalent professional experience)
• 5+ years of experience in data science, analytics, or ML engineering with a strong record of deploying scalable ML solutions.
• Solid understanding of statistical modelling, including probability distributions, regression analysis, and hypothesis testing.
• Strong understanding of experimentation design and A/B testing frameworks
• Expert proficiency in Python frameworks (PyTorch, Scikit-learn).
• Experience with model monitoring and drift detection
• Experience in handling large-scale and high-dimensional datasets using distributed data processing tools (Spark, Snowflake, Databricks).
• Strong communication skills with the ability to translate complex models into business impact.

Desirable Skills

• Experience in gaming analytics or player behaviour modelling
• Experience building recommendation or ranking systems
• Experience with cloud platforms (AWS/GCP/Azure)

What’s in it for you? Glad you asked!

We love to brag about our great perks like Global fitness program, Sodexo (Food Coupons), Parental Insurance & Medical, Accident & life insurance and since we realise it takes world-class people to make world-class games, we offer competitive compensation packages and a culture that thrives off creativity and individuality. At EA, we live the “work hard/play hard” credo every day.

_About Electronic Arts_

We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.

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Ford’s Electric Vehicles, Digital and Design (EVDD) team is charged with delivering the company’s vision of a fully electric transportation future. EVDD is customer-obsessed, entrepreneurial, and data-driven and is dedicated to delivering industry-leading customer experience for electric vehicle buyers and owners.

Responsibilities

You will learn how to create code and manage data that will directly impact the environment by improving electric vehicle energy efficiency. You’ll grow your expertise and analytical skills through collaboration with a global, cross-functional team, ownership of a well-defined project, and exposure to new technology and tools used to improve vehicles and customer experience.

You will have hands-on experience developing and deploying data-driven processes and toolsets to provide insights and guide engineering decisions. You will also develop build and CI/CD pipelines to enable compilation and testing of in-house vehicle firmware, develop drivers for on-chip / on-board peripherals, and use commercial software and compilers to develop embedded firmware.

You will develop unit tests that validate vehicle and firmware functionality. You will work on next generation electric vehicle, from concept development, prototyping, to vehicle testing and calibration, encompassing both physical and virtual analysis and testing.

Qualifications

You will have a relevant Bachelor’s degree or Master’s degree in Computer Science, Computer Engineering, or Automotive field. You will have a GPA of 3.0 on a 4.0 scale (or equivalent). You will have analytical and creative problem-solving skills, and be a team player who is capable of working in fast-paced, and multi-disciplinary environment.

You will have curiosity to ask “Whys” and motivation to investigate and explore. You must be able to work from the Long Beach, CA campus. You must be able to dedicate 6 MONTHS for this engagement. Candidates must graduate and be available for full-time work prior to July 2026.

Even better, you may have prior experience related to electric vehicles, experience developing cloud-based CI/CD pipelines and tools to perform regression analysis and create live dashboards, and experience in leveraging data to provide insights and drive engineering decisions.

Benefits

You will have immediate medical, dental, vision and prescription drug coverage. You will have flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more. You will have family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more.

You will have vehicle discount program for employees and family members and management leases. You will have tuition assistance. You will have established and active employee resource groups. You will have paid time off for individual and team community service.

You will have a generous schedule of paid holidays, including the week between Christmas and New Year’s Day. You will have paid time off and the option to purchase additional vacation time.

This position is a salary grade 5. For more information on salary and benefits, click here: https://fordcareers.co/GSRSP4

Visa sponsorship is available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

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We have 5 Leadership Principles that guide us in our goals:

• The Power of Partnerships: We collaborate with our clients to bring their stories to life.
• One Keywords: We combine the strength of a global platform with the agility of local studios.
• Raise the Game: We use technology and innovation to help our clients and the industry thrive.
• Embrace an Open World: We champion diversity of talent and ideas from every corner of our global community.
• Trust through Transparency: We pursue open and honest relationships with our people, clients, and communities.

Responsibilities:

• Design and build scalable and resilient systems for our chatbot conversation engine and issue routing system.
• Work on a chatbot conversation engine scaling to millions of conversations per day.
• Design and build workflows for automatically routing issues based on events.
• Design and implement APIs for features to be consumed internally in the agent dashboard as well as external facing APIs to enable integrations.
• Collaborate with our clients as an extension of their team.

Requirements:

• 4+ years of medium/large scale server-side software development experience.
• Excellent verbal and written communication skills.
• Thorough knowledge of CS fundamentals: Data structures, time complexity of algorithms.
• Knowledge of Posix compliant Operating Systems (we develop on Mac OS X and deploy on GNU/Linux).
• Comfortable using CLI tools for achieving day-to-day tasks.
• Experience in writing Unit, Functional & Regression tests.
• Knowledge of generative testing is preferred.
• Bachelor's Degree in Computer Science (or equivalent).

Preferred skills:

• Experience in working with a distributed version control tool (we use Git).
• Knowledge of functional programming (we use Clojure).
• Knowledge of the JVM.
• Experience in working with any one of MongoDB, Redis, Elasticsearch, Kafka or Postgresql at scale.
• Experience with benchmarking systems for performance, failure detection.

Benefits:

• Hybrid setup
• Worker's insurance
• Paid Time Offs
• Other employee benefits to be discussed by our Talent Acquisition team in India

Helpshift embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, sexual orientation, gender identity, religion, national origin, citizenship, marital status, veteran status, or disability status.

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We're looking for someone with 4+ years of experience in writing client-side JavaScript, a proficient understanding of modern web tech stack, including HTML5, CSS3, and ES6, and good understanding of ReactJS and NextJS. You should also be proficient in cross-browser compatibility issues and ways to work around them, and have knowledge of frontend optimisation techniques and tools.

As a team player with a strong sense of ownership and collaboration, you will display strong work ethics and keep calm and learn every day. You will also be responsible for writing Unit, Functional & Regression tests, and have excellent verbal and written communication skills.

We offer a hybrid setup, worker's insurance, paid time off, and other employee benefits. Helpshift embraces diversity and is an equal opportunity workplace.

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You'll serve as the central coordinator between Data Science, Growth Marketing, Brand Marketing, Product, Engineering, Data Infrastructure, Privacy, Finance, and external partners including MMM vendors, media platform partners, and agencies. This role requires someone who can navigate technical complexity, drive alignment across diverse stakeholders, and translate between business strategy and technical execution across both performance and brand measurement.

As the program lead for our measurement infrastructure, you'll be responsible for delivering our MMM proof-of-concept, establishing ongoing experimentation frameworks, designing and executing brand lift studies, leading the strategic assessment and migration of infrastructure, and building the operational foundations that enable data-driven marketing investment decisions at scale.

Responsibilities:

• Marketing Measurement Intelligence: Lead end-to-end program management for MMM proof-of-concept execution, and transition to production operations. Design and execute comprehensive incrementality testing programs including geo-based experiments, conversion lift studies, and in-platform tests with media partners to calibrate and validate MMM outputs. Lead brand lift study design and execution across media platforms to measure awareness, consideration, favorability, and intent. Synthesize measurement results across MMM, brand lift, and incrementality testing for holistic marketing effectiveness views, building reporting frameworks that connect brand health metrics to business outcomes.
• MarTech Infrastructure & Vendor Management: Support strategic assessments of marketing technology platforms, facilitating cross-functional evaluation and driving stakeholder alignment on build-vs-buy decisions while mapping dependencies and identifying blockers. Serve as key contact for vendors and agencies, managing relationships, business reviews, and coordinating execution with implementation roadmaps. Establish operational excellence standards including monitoring, alerting, version control, automated privacy validation, and incident response protocols while maintaining executive visibility into platform initiatives and working with Legal and Security on vendor reviews.
• Marketing Workflow Automation: Partner with Marketing leadership to identify, prioritize, and support deployment of AI-powered automation solutions for marketing operations. Establish governance frameworks, quality standards, validation processes, and monitoring mechanisms for automated marketing workflows. Build sustainable operating models for ongoing automation maintenance and continuous improvement. Track and measure automation impact to demonstrate ROI to leadership and cross-functional teams. Act as a center of excellence to socialize successful automation stories within Marketing to the broader Anthropic organisation.

You May Be a Good Fit If You:

• Have 7+ years of technical program management experience, with 3+ years in marketing measurement, analytics infrastructure, or data science programs
• Have a track record of successfully managing complex programs involving data science, marketing operations, engineering, agencies, and vendors
• Possess deep understanding of MMM, attribution, incrementality testing, brand lift studies, and experimentation design
• Have strong technical fluency with customer data platforms, marketing data sources, data warehouses, and analytics platforms
• Have experience evaluating and migrating between marketing technology platforms or data infrastructure systems
• Can engage with data scientists on regression analysis, causality, adstock modeling, and experimental design
• Understand CDP architecture including event collection, tag management, streaming delivery, reverse ETL, and privacy compliance
• Have a track record of delivering 0-to-1 programs on aggressive timelines with high visibility
• Excel at translating technical concepts for varied audiences and can influence without authority
• Thrive in ambiguous situations, bringing structure to complex challenges with competing priorities and limited resources
• Have excellent written and verbal communication skills with executive presence and strong presentation abilities
• Are passionate about Anthropic's mission and interested in the challenges of bringing frontier AI capabilities to market

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Seattle; San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $325K – $385K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products, including next-generation ads experiences that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation.

Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers and businesses.

This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, and Research to bring research breakthroughs into real-world systems at global scale.

About the Role

We’re looking for a Senior Android Engineer on OpenAI’s Applied team to build the core mobile experiences that power how users sign up, manage their account, use family features, pay for services, stay safe, and interact with OpenAI’s products with confidence.

This role is about building high-quality products and reusable Android foundations that product teams across OpenAI apps depend on to ship quickly while meeting the highest standards for security, reliability, privacy, and user trust. You’ll own complex client-side systems spanning UI, networking, local state, payments, and Android platform integrations, and you’ll work closely with backend, product, and safety partners to shape the architecture that supports OpenAI’s mobile ecosystem at global scale.

In this role, you will

• Build and ship monetization experiences on Android (e.g., plan selection, purchase flows, subscription management, entitlements, and policy-aware UX patterns).

• Design and maintain shared Android frameworks and primitives for account, trust, and commerce flows used across OpenAI’s mobile apps (auth/session, entitlements, checkout abstractions, safety gates, etc.).

• Own complex Android systems end-to-end across UI architecture, networking, local persistence/state, observability, and release processes.

• Build robust integrations with Android platform and ecosystem components (e.g., Google Play Billing, authentication, device security signals, deep links, push).

• Optimize performance, reliability, and responsiveness at global scale (startup time, rendering, network resiliency, battery, crash-free sessions).

• Establish and evolve testing and quality systems (unit/integration/UI tests, CI reliability, automated regression, release validation).

• Collaborate with Product, Design, Research, backend, and Safety to deliver features that meet OpenAI’s highest standards for safety, privacy, fairness, and policy compliance.

• Provide technical leadership through architecture reviews, mentoring, and setting engineering standards across the Android foundations surface.

You might thrive in this role if you

• Have 4+ years of professional software engineering experience with meaningful Android ownership.

• Have a track record of building and shipping high-quality Android applications in production (especially for reliability- and trust-sensitive flows like identity and payments).

• Are fluent in Kotlin and comfortable with Android tooling and architecture (Gradle, Android Studio, modern app architecture patterns, Jetpack Compose).

• Enjoy making pragmatic architectural tradeoffs while keeping systems maintainable, testable, and scalable.

• Care deeply about performance, security, privacy, and user experience, and you bring a high bar for polish.

• Thrive in 0→1 environments where systems, architecture, and processes are constantly evolving.

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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:

You are a passionate engineering professional with a strong foundation in high-frequency electronics and a keen eye for software quality. You thrive in dynamic, collaborative environments and are eager to leverage your technical expertise to ensure the highest standards in software performance and reliability.

What you'll do

Designing, specifying, and writing comprehensive test cases to validate software functionality and performance.

Developing, updating, and maintaining test scripts for both manual and automated test environments.

Conducting functional, regression, application, and performance testing to ensure product reliability and quality.

What you need

BS in Engineering or related field with at least 3 years of experience, or MS with at least 1 year of experience.

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