Join us

ContentUpdates from Siemens Gamesa Renewable Energy...
Link
@faun shared a link, 8 months, 2 weeks ago
FAUN.dev()

Why Go is a good fit for agents

Gorules the realm of long-lived, concurrent agent tasks. Its lightning-fast goroutines and petite memory use make Node.js and Python look like clunky dinosaurs trudging through thick mud. And don't get started on itscancellation mechanism—seamless cancelation, zero drama... read more  

Why Go is a good fit for agents
Link
@faun shared a link, 8 months, 2 weeks ago
FAUN.dev()

God is hungry for Context: First thoughts on o3 pro

OpenAIjust took an axe too3pricing—down 80%. Entero3-prowith its $20/$80 show. They boast a star-studded 64% win rate against o3. Forget Opus;o3-pronails picking the right tools and reading the room, flipping task-specific LLM apps on their heads... read more  

God is hungry for Context: First thoughts on o3 pro
Link
@faun shared a link, 8 months, 2 weeks ago
FAUN.dev()

Modern Test Automation with AI(LLM) and Playwright MCP (Model Context Protocol)

GenAI and Playwright MCP are shaking up test automation. Think natural language scripts and real-time adaptability, kicking flaky tests to the curb.But watch your step:security risks lurk, server juggling causes headaches, and dynamic UIs refuse to play nice... read more  

Link
@faun shared a link, 8 months, 2 weeks ago
FAUN.dev()

The AI 4-Shot Testing Flow

4-Shot Testing Flowfuses AI's lightning-fast knack for spotting issues with the human knack for sniffing out those sneaky, context-heavy bugs. Trim QA time and expenses. While AI tears through broad test execution, human testers sharpen the lens, snagging false positives/negatives before they slip t.. read more  

The AI 4-Shot Testing Flow
Link
@faun shared a link, 8 months, 2 weeks ago
FAUN.dev()

Agentic Coding Recommendations

Claude Codeat $100/month smirks at the spendyOpus. It excels at spinning tasks with the nimbleSonnet model. When it comes to backend projects, lean intoGo. It sidesteps Python's pitfalls—clearer to LLMs, rooted context, and less chaos in its ecosystem. Steer clear of pointless upgrades. Those tempti.. read more  

Link
@faun shared a link, 8 months, 2 weeks ago
FAUN.dev()

GenAI Meets SLMs: A New Era for Edge Computing

SLMspower up edge computing with speed and privacy finesse. They master real-time decisions and steal the spotlight in cramped settings like telemedicine andsmart cities. On personal devices, they outdoLLMs—trimming the fat with model distillation and quantization. Equipped withONNXandMediaPipe, the.. read more  

Link
@faun shared a link, 8 months, 2 weeks ago
FAUN.dev()

Meta reportedly in talks to invest billions of dollars in Scale AI

Metawants a piece of the$10 billion pieat Scale AI, diving headfirst into the largest private AI funding circus yet.Scale AI'srevenue? Projected to rocket from last year’s $870M to$2 billionthis year, thanks to some beefy partnerships and serious AI model boot camps... read more  

Meta reportedly in talks to invest billions of dollars in Scale AI
Link
@faun shared a link, 8 months, 2 weeks ago
FAUN.dev()

Automate Models Training: An MLOps Pipeline with Tekton and Buildpacks

Tekton plusBuildpacks: your secret weapon for training GPT-2 without Dockerfile headaches. They wrap your code in containers, ensuring both security and performance.Tekton Pipelineslean on Kubernetes tasks to deliver isolation and reproducibility. Together, they transform CI/CD for ML into something.. read more  

Automate Models Training: An MLOps Pipeline with Tekton and Buildpacks
Link
@faun shared a link, 8 months, 2 weeks ago
FAUN.dev()

Meta Introduces LlamaRL: A Scalable PyTorch-Based Reinforcement Learning RL Framework for Efficient LLM Training at Scale

Reinforcement Learningfine-tunes large language models for better performance by adapting outputs based on structured feedback. Scaling RL for LLMs faces resource challenges due to massive computation, model sizes, and engineering problems like GPU idle time. Meta's LlamaRL is a PyTorch-based asynch.. read more  

Meta Introduces LlamaRL: A Scalable PyTorch-Based Reinforcement Learning RL Framework for Efficient LLM Training at Scale
Link
@faun shared a link, 8 months, 2 weeks ago
FAUN.dev()

BenchmarkQED: Automated benchmarking of RAG systems

BenchmarkQEDtakes RAG benchmarking to another level. ImagineLazyGraphRAGsmashing through competition—even when wielding a hefty1M-tokencontext. The only hitch? It occasionally stumbles on direct relevance for local queries. But fear not,AutoQis in its corner, crafting a smorgasbord of synthetic quer.. read more  

It takes the brightest minds to be a technology leader. It takes imagination to create green energy for the generations to come. At Siemens Gamesa we make real what matters, join our global team.

Siemens Gamesa has a vision for renewable energy: we believe in the power of nature and technology. Help us to be ready to face the energy challenges of tomorrow and make a green footprint – join the team in creating a better future for us on our planet.

We focus on hiring the best people, wherever they may be in the world. We pride ourselves on the flexibility we offer to our employees and are committed to building a workforce that can grow with the company. Siemens Gamesa is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

In our culture of trust, we focus on empowerment, diversity and continuous learning. Valuing our people is what makes us one global team, with our colleagues’ safety at the heart of our organization.

Read stories from our employees, and get to know your future team: https://www.sebrochure.dk/Siemens_Gamesa_Renewable_Energy/WebView/

How to contribute to our vision

For our DevOps team within the Software Solutions division we are looking for a skilled DevOps Engineer to join our growing, and dedicated DevOps team. In the department, we are responsible for the SW test strategy, the enforcement of it, and the creation and maintenance of build- and test environments in which automated tests are executed. This involves both HIL setups and small to large virtual environments, thus handling both the hard real-time and large scalability requirements. We operate 2 data centers and 2 test labs.

The introduction of Continuous Delivery is a strategic goal of the department; our team has been given the responsibility of introducing it. You will join an inspiring and high performing multinational team.

As DevOps Engineer, your tasks and deliverables are mainly lead the development teams’ transformation to Continuous Delivery, i.e. implement their Chef based server stack, create the QA part of the Jenkins pipeline. The product and system level tests are run in either a VM environment or the physical HW. You will manage and optimize the utilization of these environments while reducing bottlenecks in the delivery pipelines.

Together with the rest of the DevOps team you develop state of the art SW tools and make the decision proposals. You implement these tools in the development projects for them to move faster. As member of the DevOps team you carry the operational responsibility of these tools.

You act as the technical expert across multiple development projects helping them in keeping their delivery pipeline running. The projects range from deeply embedded controllers over large SCADA server systems to central fleet management systems. Together with the rest of the DevOps team you ensure the operational side of our large HW and VMware test environment.

You will implement parts of our cybersecurity strategy by implementing relevant verifications in the pipelines and ensure a short lead time.

What you need to make a difference

Passion for renewable energy and a sense for the importance to lead the change.  We are looking for you, who wants to make real what matters and who wants to change the world towards renewable energy.

The ideal candidate holds an academic degree in IT, Computer Science or similar in combination with thorough practical experience with

Continuous Integration/Delivery and DevOps
Applying agile software development practices (e.g. SAFe & SCRUM)
GitLab, Gitflow, Artifactory, Jenkins, Docker, Kubernetes and Chef
You have strong DevOps understanding of the state of the art build and code level QA tolls for C#, C++ and web development.
You have basic knowledge of BDD, Cucumber - Ruby.
You are not afraid of asking questions and taking the lead in developing the team, methods and frameworks.

Most importantly is your passion for continuous delivery and smooth operations in larger organizations. You have a high professional competency and you have a desire to develop your skills. You have good collaboration skills and you can manage to act in different cultural contexts. To thrive in this position, you must have a strong result- and customer-oriented approach.

In return of your commitment we offer you…

Become a part of our mission for sustainability: Clean energy for generations to come. We are a global team of diverse colleagues who share a passion for renewable energy and have a culture of trust and empowerment to make our own ideas a reality. We focus on personal and professional development to grow internally within our organization. Siemens Gamesa offers a wide variety of benefits such as flexible working hours as well as home-office possibility for many colleagues, employer-funded pension, attractive remuneration package (fixed/variable) and local benefits such as subsidized lunch, employee discounts and much more.

Empowering our people

https://www.siemensgamesa.com/sustainability/employees

#Associate

How do you imagine the future?

https://youtu.be/12Sm678tjuY

Our global team is on the front line of tackling the climate crisis, reducing carbon emissions – the greatest challenge we face.