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Being the cybersecurity partner of choice, protecting our digital way of life.
Your Career
You will be constantly challenged by tough engineering and design tasks, working in a fast-paced setting to deliver high-quality, impactful work.
Your Impact
In this versatile role, you will drive impact across both data engineering and data science domains:
Data Engineering Foundations
Design & Development: Design and implement scalable data architectures and datasets that support the organization's evolving data needs, providing the technical foundations for our analytics team and business users.
Data Engineering: Support and implement large datasets in batch/real-time analytical solutions leveraging data transformation technologies.
Data Security & Scalability: Enable robust data-level security features and build scalable solutions to support dynamic cloud environments, including financial considerations.
Process Improvement: Perform code reviews with peers and make recommendations on how to improve our end-to-end development processes.
AI/ML Innovation & Business Impact
Develop & Deploy Classical ML Models: Own the end-to-end lifecycle of machine learning projects. You'll build and productionize sophisticated models for critical business areas such as marketing attribution, customer churn prediction, case escalation and other relevant use-cases to post-sales.
Optimize AI Agentic Systems: Play a key role in our generative AI initiatives. You will be responsible for characterizing, evaluating, and fine-tuning AI agents—such as conversational systems that allow users to query massive datasets using natural language—to improve their accuracy, efficiency, and reliability.
Partner with Business Stakeholders: Act as an internal consultant to our Go-to-Market (GTM), Global Customer Services (GCS) and Product and Finance teams. You'll translate business challenges into data science use-cases, identify opportunities for AI-driven solutions, and present your findings in a clear, actionable manner.
Own the Full Data Science Lifecycle: Your responsibilities will cover the entire project workflow, working with the business to understand the problem, charting a path to solve the problem, feature engineering, model selection and training, robust evaluation, deployment, and, in partnership with the data platform team, ongoing monitoring for performance degradation.
Your Experience
7 plus years experience building and maintain data pipeline both for reporting, analysis and feature engineering.
Experience building and optimizing clean, well-structured analytical datasets for business and data science use cases. This includes Implementing and supporting Big Data solutions for both batch (scheduled) and real-time (streaming) analytics.
Prior experience working extensively within dynamic cloud environments, specifically Google Cloud Services (GCS) BigQuery and Vertex AI.
Prior experience developing dashboards in Tableau/Looker or similar data viz platform.
Nice to have: Experience implementing and managing data-level security features to ensure data is protected and access is properly controlled.
Expert-level programming skills in Python and familiarity with core data science and machine learning libraries (e.g., Scikit-learn, Pandas, PyTorch/TensorFlow, XGBoost).
A solid command of SQL for complex querying and data manipulation.
Proven ability to work autonomously, navigate ambiguity, and drive projects from concept to completion.
Preferred Qualifications
Prior working experience in Customer Analytics space and customer experience use-cases, e.g. Escalation, Risk predictors, Renewals and efficiency of project delivery in Professional Services space.
Direct experience with generative AI, including hands-on work with LLMs and frameworks like LangChain, LlamaIndex, or the Hugging Face ecosystem.
Experience in evaluating and optimizing the performance of AI systems or agents.
Demonstrated expertise in specialized modeling domains such as causal inference, time-series analysis.
An MS or PhD in a quantitative field like Computer Science, AI, Statistics, or equivalent practical experience or equivalent military experience.
Compensation Disclosure
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $143000- $231000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .
All your information will be kept confidential according to EEO guidelines.
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This role is focused on Data Platform Engineering — not data engineering. While familiarity with Spark, Flink, and other tools in the Hadoop ecosystem is valuable, your primary responsibility will be building and evolving the platform itself, not just authoring data pipelines.
What you’ll do and learnOwn and deliver major components of eBay’s Data Platforms — from design through production rollout.
Design and evolve distributed systems powering ingestion, streaming, lakehouse/warehouse, catalog, and governance.
Contribute to long-term architecture through design reviews and authoring architecture design documents, ensuring scalability and resilience.
Build systems that balance latency, correctness, and cost while ensuring security and compliance.
Drive operational excellence for services you own, including observability and incident response.
Collaborate across product, infra, and analytics teams to align execution with business needs.
Learn and grow in areas like governance, orchestration, and privacy engineering.
Experience designing large-scale distributed systems (compute, storage, APIs, streaming).
Ability to independently deliver complex projects from requirements to production.
Systems thinker who anticipates bottlenecks, schema evolution, and reliability issues.
Strong communication skills to influence cross-team technical outcomes.
Growth mindset with curiosity to learn new technologies.
Impact at scale: powering global analytics and ML systems.
Challenging problems: streaming, freshness/correctness, and multi-cloud resiliency.
Collaborative culture that values inclusion and knowledge sharing.
Support & growth: flexibility, benefits, and career development resources.
Focus on reliability and sustainable on-call practices.
8+ years of distributed systems or data platform experience.
Proven ability to design and deliver critical systems with impact.
Proficiency in Java/Python, CI/CD, and containerized environments.
Hands-on expertise in tools like Kafka/Flink, Spark, Delta/Iceberg, Kubernetes, NoSQL/columnar stores.
Experience in streaming and batch data platforms.
Strong foundation in algorithms and distributed design.
BS/MS in CS or equivalent experience.
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The Impact You Will Make Here
The Senior Software Engineer is responsible for coordinating the design, development, and implementation of software solutions. This role combines technical expertise with leadership skills to guide a team of developers, ensure outstanding deliverables, and drive the successful completion of projects. Candidates must have in-depth software development expertise, proven ability to deliver complex solutions, hands-on experience with Java and GCP, and capability to lead a small engineering team autonomously.
Architect, design, develop and test complex, multi-tier distributed Warehouse Management System software systems
Lead architecture discussions, develop well-documented design docs, and facilitate development and code reviews ensuring alignment with industry standards
Work with product managers, collaborators, and cross-functional teams to build software solutions that fulfill functional and non-functional needs, establish project plans and deliverables
Estimate engineering effort, plan execution cycles, and roll out system changes
Identify and address performance bottlenecks in software systems & ensure systems are secure, scalable, and maintainable
Write Unit and Integration tests and ensure software developed meets high quality standards
Stay updated on emerging technologies and integrate them into development processes whenever applicable
Function as a team leader utilizing communication, leadership, and problem-solving skills
What You Bring to the Team
Bachelor’s degree in Computer Science or related field plus 8+ years of experience or Master’s degree in Computer Science or related field plus 7+ years of hands-on experience in building large-scale distributed systems
Strong expertise in front-end technologies such as HTML, CSS, JavaScript, and React
Strong expertise in designing and developing REST API
Extensive hands-on experience and expertise in object-oriented design methodology and application development using Java/J2EE and Kotlin, including frameworks such as Spring Boot
Hands-on experience with Google Cloud Platform (GCP), particularly in Google Cloud Run and deployment pipelines
Deep understanding of SQL Databases, with an emphasis on Postgres. Familiarity with tuning systems, architecture, thread management, and problem analysis
Expertise with Terraform deployments
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Job Title: MTS 1, Software Engineer
Start Date: January 19, 2026
days per annum , 5 sick days per annum
highly available
deployment
Identify project technical risks and make recommendations to mitigate
Use deep technical proven experience of company systems and applications, which could cover applications, services, systems, or frameworks
a high level of initiative and attention to detail during daily operations
Collaborate effectively with other engineers, product managers, designers, and QA engineers
Encourage peers with high-quality, hands-on technical contributions
methodology , design, and best practices.
Consistently produce high-quality software with a focus on unit testing, regular code reviews, and continuous integration.
high standards in quality and operational excellence.
Develop comprehensive technical documentation and presentations to clearly communicate architectural decisions and design options. Ensure documentation aligns with project scopes, milestones, and deliverables.
Effectively delegate tasks and responsibilities within the team, considering individual skills and workload
Lead the development of prototypes and proof-of-concept implementations for new technologies or approaches.
Required Experience
The language of work is English.
Bachelor of Engineering degree plus 8 or more years of experience ; or MS in Computer Science plus 6 or more years of hands-on experience in developing highly scalable distributed platforms and services and internet scale web application
Highly experienced in application development in JAVA and Kotlin and its related frameworks such as like Spring, Spring Boot, Hibernate, Stream processing platforms such as Kafka and Flink ;
in Oracle ADF 12c Framework, JavaScript , HTML and
in J2EE, SOAP, SOA Services, Design Patterns, OOA/D, Data Structures, XML, REST, JSON, and Internet Protocols ;
in a programming language such as Scala, solid base in data structures, algorithms and a strong understanding of multithreading, synchronization, concurrent programming; deep architectural understanding of system design and lead ing
noSQL data technology such as Mongo , ElasticSearch and related toolset ;
in Spring boot and Hadoop framework ;
in retail and logistics ;
ility to troubleshoot performance bottlenecks in
participating in design and code reviews, coding and unit testing of fault-tolerant applications. Comfortable or have familiarity with all the layers of multi-tier applications to craft complete solutions and maintain products
Solid understanding of computer science fundamentals. Experience in non-functional skills like Security, Load and Performance Tests, Accessibility, Site Speed optimization, Cross-browser /Cross-platform UX Design
Excellent verbal and written communication, leadership, and collaboration skills
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Nous recherchons un(e) artiste technique sénior pour rejoindre l’équipe de création IA de Unity. Dans ce rôle, vous concevrez et construirez des processus, des Pipelines, des environnements de projet de test et des outils alimentés par l’IA, transformant la façon dont les jeux sont conçus, prototypés et lancés.
Si vous aimez combiner créativité artistique avec résolution de problèmes techniques et que vous aimez repousser les limites de la création de jeux alimentée par l’IA, nous sommes impatients d’avoir de vos nouvelles.
Unity [NYSE: U] est la principale plateforme pour créer et développer des jeux ainsi que des expériences interactives. Des créateurs, allant du développeur de jeux aux artistes en passant par les architectes, les concepteurs automobiles, les experts en infrastructure, les cinéastes et plus encore utilisent Unity pour donner vie à leur imagination à travers plusieurs plateformes, notamment mobile, PC et console ainsi que l’informatique spatiale.
Au quatrième trimestre 2024, plus de 70% des 1000 jeux mobiles les mieux classés ont été réalisés avec Unity, et en 2024, les applications créées avec Unity ont enregistré en moyenne 3,7 milliards de téléchargements par mois. Pour plus d’informations, veuillez consulter le site .
Unity est un employeur fier de garantir l’égalité des chances. Nous nous engageons à favoriser un environnement inclusif et innovateur et à célébrer nos employés à travers l’âge, l’éthinicité, la couleur, l’ascendance, l’origine nationale, la religion, le handicap, le sexe, l’identité ou l’expression de genre, l’orientation sexuelle ou tout autre statut protégé conformément à la loi applicable. Si vous êtes en situation de handicap ou avez des besoins spécifiques nécessitant des aménagements pour que votre entretien se déroule dans les meilleures conditions, nous vous invitons à remplir afin de nous en informer et que nous puissions faire le nécessaire.
Ce poste exige que son ou sa titulaire possède une connaissance de l’anglais qui soit suffisante pour lui permettre d’avoir des échanges professionnels verbaux et écrits dans cette langue, puisque l’accomplissement des tâches liées à ce poste nécessite des communications fréquentes et régulières avec des collègues et partenaire situés à l’échelle mondiale et dont la langue commune est l’anglais.
Les chasseurs de têtes et les agences de recrutement ne peuvent pas soumettre résumes/CV par ce site Web ou directement aux superviseurs. Unity n’accepte pas des chasseurs de têtes non sollicités et des résumés (CV) d’agence. Unity ne payera pas d’honoraires à aucune agence tierce ou entreprise qui n’a pas signé d’ententes avec Unity.
La protection de votre vie privée est importante pour nous. Veuillez prendre un moment pour consulter nos politiques de confidentialité pour et les . Si vous avez des questions concernant la protection de votre vie privée, veuillez nous contacter à DPO@unity.com.
We’re seeking a Senior Technical Artist to join the Unity AI Authoring team. In this role, you’ll design and build AI-driven workflows, pipelines, test project environments and tools, transforming how games are designed, prototyped, and launched.
If you love combining artistic creativity with technical problem-solving and enjoy pushing the boundaries of AI-driven game creation, then we’re eager to hear from you.
Unity [NYSE: U] is the leading platform to create and grow games and interactive experiences. Creators, ranging from game developers to artists, architects, automotive designers, infrastructure experts, filmmakers, and more, use Unity to bring their imaginations to life across multiple platforms, from mobile, PC, and console, to spatial computing.
As of the third quarter of 2024, more than 70% of the top 1,000 mobile games were made with Unity, and in 2024, Made with Unity applications had an average of 3.7 billion downloads per month. For more information, please visit .
Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out to let us know.
This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.
Your privacy is important to us. Please take a moment to review our and . Should you have any concerns about your privacy, please contact us at DPO@unity.com.
#SEN
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This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
Gross base salary$80,200—$105,210 CADThese jobs might be a good fit

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What you’ll be doing:
Contribute features to vLLM that empower the newest models with the latest NVIDIA GPU hardware features; profile and optimize the inference framework (vLLM) with methods like speculative decoding,data/tensor/expert/pipeline-parallelism,prefill-decode disaggregation.
Develop, optimize, and benchmark GPU kernels (hand-tuned and compiler-generated) using techniques such as fusion, autotuning, and memory/layout optimization; build and extend high-level DSLs and compiler infrastructure to boost kernel developer productivity while approaching peak hardware utilization.
Define and build inference benchmarking methodologies and tools; contribute both new benchmark and NVIDIA’s submissions to the industry-leading MLPerf Inference benchmarking suite.
Architect the scheduling and orchestration of containerized large-scale inference deployments on GPU clusters across clouds.
Conduct and publish original research that pushes the pareto frontier for the field of ML Systems; survey recent publications and find a way to integrate research ideas and prototypes into NVIDIA’s software products.
What we need to see:
Bachelor’s degree (or equivalent expeience) in Computer Science (CS), Computer Engineering (CE) or Software Engineering (SE) with 7+ years of experience; alternatively, Master’s degree in CS/CE/SE with 5+ years of experience; or PhD degree with the thesis and top-tier publications in ML Systems, GPU architecture, or high-performance computing.
Strong programming skills in Python and C/C++; experience with Go or Rust is a plus; solid CS fundamentals: algorithms & data structures, operating systems, computer architecture, parallel programming, distributed systems, deep learning theories.
Knowledgeable and passionate about performance engineering in ML frameworks (e.g., PyTorch) and inference engines (e.g., vLLM and SGLang).
Familiarity with GPU programming and performance: CUDA, memory hierarchy, streams, NCCL; proficiency with profiling/debug tools (e.g., Nsight Systems/Compute).
Experience with containers and orchestration (Docker, Kubernetes, Slurm); familiarity with Linux namespaces and cgroups.
Excellent debugging, problem-solving, and communication skills; ability to excel in a fast-paced, multi-functional setting.
Ways to stand out from the crowd
Experience building and optimizing LLM inference engines (e.g., vLLM, SGLang).
Hands-on work with ML compilers and DSLs (e.g., Triton,TorchDynamo/Inductor,MLIR/LLVM, XLA), GPU libraries (e.g., CUTLASS) and features (e.g., CUDA Graph, Tensor Cores).
Experience contributing tocontainerization/virtualizationtechnologies such ascontainerd/CRI-O/CRIU.
Experience with cloud platforms (AWS/GCP/Azure), infrastructure as code, CI/CD, and production observability.
Contributions to open-source projects and/or publications; please include links to GitHub pull requests, published papers and artifacts.
You will also be eligible for equity and .
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Being the cybersecurity partner of choice, protecting our digital way of life.
Your Career
You will be constantly challenged by tough engineering and design tasks, working in a fast-paced setting to deliver high-quality, impactful work.
Your Impact
In this versatile role, you will drive impact across both data engineering and data science domains:
Data Engineering Foundations
Design & Development: Design and implement scalable data architectures and datasets that support the organization's evolving data needs, providing the technical foundations for our analytics team and business users.
Data Engineering: Support and implement large datasets in batch/real-time analytical solutions leveraging data transformation technologies.
Data Security & Scalability: Enable robust data-level security features and build scalable solutions to support dynamic cloud environments, including financial considerations.
Process Improvement: Perform code reviews with peers and make recommendations on how to improve our end-to-end development processes.
AI/ML Innovation & Business Impact
Develop & Deploy Classical ML Models: Own the end-to-end lifecycle of machine learning projects. You'll build and productionize sophisticated models for critical business areas such as marketing attribution, customer churn prediction, case escalation and other relevant use-cases to post-sales.
Optimize AI Agentic Systems: Play a key role in our generative AI initiatives. You will be responsible for characterizing, evaluating, and fine-tuning AI agents—such as conversational systems that allow users to query massive datasets using natural language—to improve their accuracy, efficiency, and reliability.
Partner with Business Stakeholders: Act as an internal consultant to our Go-to-Market (GTM), Global Customer Services (GCS) and Product and Finance teams. You'll translate business challenges into data science use-cases, identify opportunities for AI-driven solutions, and present your findings in a clear, actionable manner.
Own the Full Data Science Lifecycle: Your responsibilities will cover the entire project workflow, working with the business to understand the problem, charting a path to solve the problem, feature engineering, model selection and training, robust evaluation, deployment, and, in partnership with the data platform team, ongoing monitoring for performance degradation.
Your Experience
7 plus years experience building and maintain data pipeline both for reporting, analysis and feature engineering.
Experience building and optimizing clean, well-structured analytical datasets for business and data science use cases. This includes Implementing and supporting Big Data solutions for both batch (scheduled) and real-time (streaming) analytics.
Prior experience working extensively within dynamic cloud environments, specifically Google Cloud Services (GCS) BigQuery and Vertex AI.
Prior experience developing dashboards in Tableau/Looker or similar data viz platform.
Nice to have: Experience implementing and managing data-level security features to ensure data is protected and access is properly controlled.
Expert-level programming skills in Python and familiarity with core data science and machine learning libraries (e.g., Scikit-learn, Pandas, PyTorch/TensorFlow, XGBoost).
A solid command of SQL for complex querying and data manipulation.
Proven ability to work autonomously, navigate ambiguity, and drive projects from concept to completion.
Preferred Qualifications
Prior working experience in Customer Analytics space and customer experience use-cases, e.g. Escalation, Risk predictors, Renewals and efficiency of project delivery in Professional Services space.
Direct experience with generative AI, including hands-on work with LLMs and frameworks like LangChain, LlamaIndex, or the Hugging Face ecosystem.
Experience in evaluating and optimizing the performance of AI systems or agents.
Demonstrated expertise in specialized modeling domains such as causal inference, time-series analysis.
An MS or PhD in a quantitative field like Computer Science, AI, Statistics, or equivalent practical experience or equivalent military experience.
Compensation Disclosure
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $143000- $231000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .
All your information will be kept confidential according to EEO guidelines.
These jobs might be a good fit