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Platform Engineer

Senior Deep Learning Compiler Engineer - PyTorch

NVIDIA

Warsawsenior

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Описание вакансии

Join us at the forefront of AI compiler technology and help shape the future of accelerated computing. NVIDIA is seeking passionate engineers to build the next generation of tools used by AI developers and researchers worldwide. Our team is developing Thunder, an ambitious, source-to-source compiler built to unlock outstanding performance for PyTorch models on NVIDIA GPUs. This is a unique opportunity to contribute to a project that enhances the PyTorch ecosystem, working with modern compiler stacks like PyTorch 2.0's TorchDynamo and TorchInductor to create powerful, open-source solutions that benefit the entire community. If you are driven to solve complex problems and want to make a foundational impact on the AI ecosystem, apply to join our collaborative and innovative team.

What You'll Be Doing
As a key member of our team, you will be contributing directly to the future of accelerated AI. Your role will be dynamic and deeply technical, placing you at the center of compiler innovation. You will lead the design, implementation, optimization, and maintenance of the core compiler technologies that accelerate massive deep learning workloads. This is a highly collaborative role where you'll work alongside the very engineers who built PyTorch for NVIDIA hardware, helping to pioneer new features and stay at the forefront of framework development. You'll dive deep into performance analysis, scrutinizing workloads running on thousands of GPUs to find optimization opportunities that will shape the future design of Thunder. Furthermore, you will be part of a vibrant ecosystem, working closely with leading compiler, library, and systems teams—including experts behind nvFuser, TVM, XLA, and CUDA—to translate the latest research into practical, high-impact solutions for the open-source community.

What We Need To See
We are looking for engineers who are excited about building powerful, user-centric tools and are comfortable working in a fast-paced, collaborative environment. Here are some of the expertise we would like to see:

  • A Bachelor's, Master's, or Ph.D. in Computer Science or a related technical field (or equivalent experience).
  • 8+ years of relevant work experience
  • A strong command of Python and experience building complex, well-tested software systems.
  • Hands-on experience with deep learning frameworks like PyTorch or JAX. You understand how models are built and where the performance challenges lie.
  • A solid foundation in compiler concepts such as abstract syntax trees (ASTs), intermediate representations (e.g., SSA form), program analysis, and code generation.
  • Excellent communication and collaboration skills, essential for working effectively in a distributed, open-source environment.

Ways To Stand Out From The Crowd

  • Previous contributions to deep learning compiler projects (e.g., TVM, MLIR, IREE) or deep learning frameworks themselves.
  • Deep expertise in the internals of PyTorch, particularly its compiler stack (TorchDynamo, TorchInductor).
  • Experience with JAX-like functional transformations and their application in a compiler context.
  • Familiarity with parallel programming, distributed systems, and writing high-performance CUDA code.
  • A track record of impactful participation in open-source communities, such as through code contributions, design discussions, or mentorship.

NVIDIA is at the forefront of breakthroughs in Artificial Intelligence, High-Performance Computing, and Visualization. Our teams are composed of driven, innovative professionals dedicated to pushing the boundaries of technology. We offer highly competitive salaries, an extensive benefits package, and a work environment that promotes diversity, inclusion, and flexibility. As an equal opportunity employer, we are committed to fostering a supportive and empowering workplace for all.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. For Poland: The base salary range is 292,500 PLN - 507,000 PLN. , , JR2001403

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Platform Engineer

Cloud FinOps Engineer

Tango

Warsawfulltime

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Описание вакансии

Description
Tango is a successful, market leader, a live-streaming Platform with 450+ Million registered users, in an industry projected to reach $240 BILLION in the next couple of years.

The B2C platform, based on the best-quality global video technology, allows millions of talented people around the world to create their own live content, engage with their fans, and monetize their talents.

Tango live stream was founded in 2018 and is powered by 500+ global employees operating in a culture of growth, learning, and success!

The Tango team is a vigorous cocktail of hard workers, creative brains, energizers, geeks, overachievers, athletes, and more. We push the limits to bring our app from “one of the top” to “the leader”.

The best way to describe Tango's work style is not to use the word “impossible”. We believe that success is a thorny path that runs on sleepless nights, corporate parties, tough releases, and of course our users' smiles (and as we are a LIVE app, we truly get to see our users all around the world smiling right in front of us in real-time!).

Do you want to join the party?
Responsibilities
Tango operates a multi-vendor infrastructure footprint spanning cloud platforms, content delivery, managed data services, CI/CD and others.

We run a mature optimization practice and are taking it to the next stage: AI-leveraged visibility, analysis, and optimization research. The Cloud FinOps Engineer is the operator and builder behind that move.

  • Run the day-to-day FinOps operation: integrate cost data, manage the dashboard portfolio, conduct daily cost analysis, investigate anomalies, and report findings.
  • Build AI-leveraged analytics for cost visibility, ROI, unit economy, trend health, and optimization research across the full vendor surface.
  • Drive cost allocation and attribution down to domain and feature level.
  • Chargeback, per-team cost reporting and financial accountability.
  • Productize resource utilization and rightsizing: turn ad-hoc analysis into continuous recommendations routed to owning teams.
  • Build cost-control guardrails for high-volatility spend categories, especially AI services.

Requirements

  • Hands-on experience with a major cloud platform (GCP, AWS, or Azure); GCP preferred.
  • Strong SQL — comfortable writing analytical queries on large datasets, any dialect.
  • Experience with any modern BI or data visualization tool (Looker, Tableau, Power BI, or similar).
  • Python for automation, data analysis, and integration work.
  • AI build literacy — comfortable wiring LLMs into analytical pipelines, not just consuming them.
  • Cost-anomaly investigation instinct — ability to look at a spike and form a working hypothesis quickly.
  • Self-direction — proposes and executes research without daily steer.

Nice to have

  • Kubernetes — read manifests, reason about resource requests.
  • Terraform or other IaC for cost-related configuration enforcement.
  • FinOps Foundation Certified Practitioner (FOCP).
  • Prior experience with large-scale cloud environments.

What we offer:

  • Stock options grant (we’re a Silicon Valley Company)
  • Competitive salary
  • Medical insurance for you and 75% off for your relatives
  • Budget for lunch
  • Parking
  • Multisport card
  • Cheerful team spirit and fun office atmosphere

If this sounds like you, apply and help empower live entertainers and creators to build independent businesses around their live talents.

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Platform Engineer

Senior DevOps Engineer

Grid Dynamics

Krakowfulltimesenior

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Описание вакансии

We are seeking a
Senior DevOps Engineer
to join a highly skilled engineering team in Poland that is building a modern, comprehensive developer platform from the ground up. This system covers the full software lifecycle - including build systems, CI/CD pipelines, automated testing, and observability.

In this role, you will focus on designing and implementing integration pipelines, code assembly, and deployment automation, with a strong emphasis on
Kubernetes
and
Bazel (Blaze)
.

Responsibilities

  • Design, build, and maintain robust integration and deployment pipelines for a modern developer platform.
  • Implement code assembly, build automation, and dependency management using Bazel.
  • Manage, scale, and optimize Kubernetes clusters and containerized infrastructure.
  • Automate deployment processes, infrastructure provisioning, and configuration management using Ansible, Git, and Bash.
  • Collaborate closely with cross-functional development teams (Go, C++, TypeScript) to enhance developer tooling and workflow efficiency.

Requirements

  • Solid, hands-on experience as a DevOps / Infrastructure Engineer in enterprise environments.
  • Strong expertise in Kubernetes and container orchestrations.
  • Familiarity with containerized ecosystems (Docker).
  • Practical experience with Bazel (Blaze) OR a strong build-system background with the ability and willingness to quickly learn Bazel on the project.
  • Proficiency in infrastructure automation and scripting using Ansible, Bash, and Git.
  • Understanding of modern CI/CD practices and software deployment lifecycles.
  • Good communication and teamwork skills in English.

Nice to have

  • Exposure to Go or C++ build environments.
  • Prior experience working on internal developer tools or build platform engineering.

We offer

  • Opportunity to work on bleeding-edge projects
  • Work with a highly motivated and dedicated team
  • Competitive salary
  • Flexible schedule
  • Benefits package - medical insurance, sports
  • Corporate social events
  • Professional development opportunities
  • Well-equipped office

About Us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

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Platform Engineer

AI/ML Engineer - Junior/Mid/Senior - ICH Europe

Accenture Poland

Warsawsenior

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Описание вакансии

About The Intelligent Consulting Hub
Intelligent Consulting Hub is a part of Europe Strategy & Consulting practice, pulling together multinational and cross-cultural professionals based at key locations across Europe. No matter what business, no matter where in the world, our unrivaled industry and function experts help our Clients to shape the future creating clearly defined, measurable value. We are delivering on the promise of technology and human ingenuity. Our Poland part of ICH Consulting Hub is located in Warsaw, Kraków, Wrocław, Łódź and Gdańsk. Your impact will be truly global as you will leverage an unmatched network of people, knowledge, tools and technologies and work alongside some of the best thinkers in the market. “Join our world class capabilities and experience unique opportunities to grow your skills with us.” – Małgorzata Nasiłowska, ICH Consulting Hub Lead

Join our AI Centre of Excellence in Poland, part of a global team of 9,000+ AI experts and data scientists. We partner with leading tech providers (AWS, GCP, Microsoft, Databricks, Snowflake, SAS) to build scalable AI solutions that drive real business impact.

  • Contribute to cutting-edge AI initiatives by applying your creativity, critical thinking, and analytical skills.

  • Design and implement scalable AI/ML solutions using cloud, generative, and agentic AI technologies.

  • Work in agile, cross-functional teams combining technical, business, and data science expertise.

  • Your accountability, responsibility, and autonomy will grow with your experience and seniority - we are looking for specialists with various experience levels.

HERE’S WHAT YOU’LL NEED:
Experience Requirements (Cumulative):

  • At least 2 years of experience applying data-driven approaches to business scenarios, including the design and deployment of advanced analytics and machine learning algorithms.

  • Within this experience, at least 1 year should involve working with generative AI or agentic AI technologies to build scalable AI/ML solutions.

Technical Skills:
Frameworks & Libraries:

  • Python-based AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, Hugging Face Transformers, Google ADK.

Cloud Platforms:

  • Experience delivering analytical projects using one of the following:

  • GCP: Vertex AI, Vector Stores, AI Agents

  • Azure: Machine Learning, OpenAI, AI Foundry, AI Search

  • AWS: SageMaker, Athena, Forecast, Rekognition, Bedrock

Algorithms & Concepts:

  • Solid understanding of machine learning and data science techniques including:

  • Clustering, regression, classification, forecasting

  • Neural networks, hyperparameter optimization

  • Natural Language Processing (NLP), Large Language Models (LLMs)

Other Skills:

  • Ability to translate complex business requirements into robust, data-driven solutions.

  • Strong appetite for continuous learning and skill development in emerging AI technologies.

  • Professional working proficiency in English.

Research indicates that some candidates, especially the most diverse ones, may hesitate to apply for positions if they don't meet all requirements. If you believe you possess the necessary skills, even if not meeting every requirement, we wholeheartedly encourage you to submit your application.

Bonus Points If You Have:
🧠
Advanced Technical Expertise

  • Experience designing AI architectures

  • Full-stack LLM engineering

  • Building agentic AI systems

  • Developing RAG (Retrieval-Augmented Generation) solutions

  • Implementing vector-based retrieval architectures

  • Applying advanced prompt engineering techniques

  • Working with computer vision technologies

  • Applying responsible AI principles

⚙️
Tools & Platforms

  • Hands-on experience with Databricks

  • Familiarity with MLOps tools and practices such as MLflow, Kubeflow, or Airflow

📜
Cloud and AI certifications such as:

  • Azure Data Science Associate

  • Azure AI Engineer

  • Google Cloud Professional Data Engineer

  • Google Cloud Data Analytics Professional

  • Databricks ML Professional

Working Conditions:

  • Location: Our headquarters is in Warsaw, with an additional office in Kraków.

  • Flexibility: While most of our work is delivered remotely, our consulting model - through Intelligent Consulting Hub Europe (ICH) - also involves on-site collaboration. You should be willing and able to travel to client locations across Europe (and occasionally beyond) for short or long-term engagements, depending on project needs.

  • Hybrid Collaboration: We value in-person time for learning, relationship-building, and team collaboration. As an employer, we aim to be as flexible as possible to support your individual work-life balance and preferences.

WHAT WE OFFER:
🚀
Career Development

  • Permanent employment contract

  • Individual support from a dedicated People Lead

  • Personalized professional development path

  • Access to coaching sessions

  • Extensive training package including:

  • Soft skills, technical, and language training

  • E-learning platforms

  • Gallup strengths assessment

  • GenAI training

  • Cloud certification programs

🧘
Well-being & Support

  • Employee Assistance Program offering legal, financial, and psychological consultations

  • Private medical care and life insurance coverage

  • Access to the MyBenefit platform, including a wide range of products and services (e.g., Multisport card)

💼
Perks & Incentives

  • Paid employee referral program

  • Eligibility for quarterly dividends through the Employee Share Purchase Plan (for employees who own company shares)

WHAT WE BELIEVE:
Accenture does not discriminate employment candidates on the basis of race, religion, colour, sex, age, disability, national origin, political beliefs, trade union membership, ethnicity, denomination, sexual orientation or any other basis impermissible under Polish law. All our leaders are committed to building a better, stronger and more durable company for future generations to create positive, long-lasting change. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and creative, which helps us better serve our clients and our communities. Our position as partner to many of the world’s leading businesses, organizations and governments affords us both an extraordinary opportunity and a tremendous responsibility to make a difference. Sustainability is one of our greatest responsibilities, which we embed it into everything we do and for everyone we work with.

Clicking apply I hereby express my consent to process my personal data included in my job offer by Accenture Sp. z o.o. or any other entity of the Accenture group for recruitment purposes, and that it is a data controller within the meaning of GDPR. More information about Accenture (and if necessary, also its representative) can be found here: https://www.accenture.com/pl\-pl/privacy\-policy.

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Platform Engineer

GCP Cloud DevOps Engineer

auticon Poland

Krakowcontract

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Описание вакансии

GCP Cloud DevOps Engineer - Join Our Inclusive Team at auticon

Location:
Kraków
(
Hybrid
6 days/month in the office)

Full-Time Position
Salary:
130 - 150 PLN/h + VAT (B2B)

As a Cloud DevOps Engineer, you will join an agile team responsible for designing, automating, and maintaining scalable, resilient, and high-performing infrastructure on Google Cloud Platform (GCP). Working closely with application-focused DevOps engineers and cross-functional IT teams, you will drive infrastructure improvements, optimize performance, and evaluate new GCP services and technologies to support continuous innovation.

Key Responsibilities

  • Design, build, and maintain the Google Cloud Platform (GCP) foundation to support application deployments.
  • Develop infrastructure using Infrastructure as Code practices, primarily with Terraform.
  • Configure and manage core cloud services, including IAM, networking, logging, operating systems, and container platforms.
  • Ensure infrastructure meets security, compliance, and operational standards.
  • Maintain technical and operational documentation.
  • Follow established change management processes.
  • Participate in a 24/7 on-call support rotation.

Requirements

  • Experience designing and managing cloud infrastructure, preferably on GCP.
  • Strong knowledge of DevOps practices and Infrastructure as Code (Terraform).
  • Hands-on experience with CI/CD pipelines and related tools.
  • Experience with cloud networking (e.g. VPCs, Shared VPC/XPN).
  • Good understanding of cloud security, IAM, monitoring, and compliance.
  • Experience collaborating with application teams and cross-functional IT stakeholders.
  • Proficiency in at least one programming language such as Python, Java, Go, JavaScript, Ruby, Groovy, or Scala.
  • Strong problem-solving, communication, and continuous improvement mindset.

Why Join auticon

  • Inclusive Workplace: We are a neurodivergent-friendly organization, where the majority of our consultants are on the autism spectrum.
  • Supportive Environment: Receive tailored support and understanding throughout your career with us. We provide accommodations that allow you to work in an environment where you can thrive.
  • No Stressful Interviews: Most of our recruitment processes are designed to be straightforward and transparent, ensuring that you can focus on showcasing your skills, not dealing with unnecessary stress. However some of our processes on the client side require you to take part in the technical assessment, organized by an external provider, which we have a limited influence on. We will however do our best to inform you about it in advance, providing all available information.
  • Autism-Friendly Workplaces: We ensure that our workspaces, culture, and policies are designed to suit the needs of individuals on the autism spectrum, with flexibility, understanding, and open communication.

Это сохранённая копия объявления, опубликованного в другом месте. Вакансии снимают без предупреждения — перед откликом проверьте сайт работодателя. mentors.coach не является нанимающей стороной.

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Senior Deep Learning Compiler Engineer - PyTorchNVIDIA · Poland

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