Вакансии

Velaura is looking for a Design Verification Engineer AI Accelerator to verify custom AI acceleration hardware and numerical behavior.

Velaura is looking for a Design Verification Engineer CPU to verify custom CPU units and microarchitecture behavior.

Velaura is looking for a Senior Formal Verification Engineer to prove correctness of complex SoC hardware.

Sardine is looking for a Senior Application Security Engineer to automate vulnerability management, eliminate security bug classes, and secure applications and APIs.

Cohere is looking for a Senior Staff Software Engineer Back End Inference to scale backend systems and lead core platform architecture.

Databricks is looking for a Software Engineering Intern to build platform features and manage projects from design through feedback.

Develop dbt data models, dashboards, metrics, and automation processes for the revenue field team and revenue analysts. Build and maintain critical reporting data models that power external merchant reporting.

As a Software Development Engineer II, you'll own features from concept to rollout: designing and writing well-tested code, launching experiments, and measuring results with Product, Design, and Data partners. Design, build, and deploy backend services and event-driven pipelines for messaging, notifications, location, and subscriptions.

- Встраивать автоматические проверки безопасности в GitLab CI/CD и разбирать результаты AI-анализа. - Обеспечивать защиту, мониторинг и безопасное развертывание в Kubernetes, PostgreSQL, ELK, Grafana.

- 2+ years building with large language models in production.

Location: Ukraine; North Macedonia; Turkey; European Union; Serbia; Bosnia; Georgia Workplace: Remote ABOUT US Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/ ABOUT THE ROLE We are looking for a Senior AI Engineer to own and scale the AI layer of one of our core D2C subscription products. You will be fully responsible for production LLM features and the browser automation built around them end to end — prompt systems, structured outputs, evaluation, observability, and model selection — from first experiment to live release, with quality, reliability, and cost as your accountability. This is a high-impact role suited for someone who decides with data, not intuition. Unmeasured prompt changes, untraced failures, and model swaps without benchmarks are not acceptable. You work in a modern TypeScript stack — Next.js, Cloudflare Workers and Containers with Hono, Hatchet task queues, Drizzle on Supabase Postgres, Vercel Blob. Browser automation on Browserbase and Playwright is roughly half of the job. KEY RESPONSIBILITIES PROMPT SYSTEMS & STRUCTURED OUTPUTS - Design dynamic prompt templates with conditional logic and context injection that maximise generation quality - Enforce predictable outputs with JSON mode, function calling, Zod/JSON schemas, validators, and repair loops - Own complex LLM workflows (LangChain, LlamaIndex, or custom) that integrate cleanly into application logic BROWSER AUTOMATION - Build and maintain browser automation on Browserbase Functions and Playwright that traverses web flows reliably - Classify screens with a model inside each traversal, and decide what the model handles versus deterministic code - Ship automations as frozen, published workers — versioned, reproducible, and safe to roll back - Orchestrate runs through Hatchet with retries, timeouts, and failure traces that explain every broken run EVALUATION & EXPERIMENTATION - Build evaluation pipelines — test datasets, LLM-as-a-judge, RAGAS-style metrics — and score responses and screen classifications in Langfuse - Trace complex LLM chains to find bottlenecks in cost, latency, and context-window usage - Run A/B experiments across models and prompts through an AI gateway (OpenRouter, Cloudflare AI Gateway); release only on quantitative benchmarks - Re-evaluate models as new architectures emerge; fine-tune when domain requirements demand it PRODUCTION OWNERSHIP - Take AI features from experiment to live production on Cloudflare Workers and Containers, and stay accountable after release - Manage rate limits, fallbacks, and model cost so features stay reliable at scale - Resolve production incidents in owned AI and automation systems with documented root-cause analysis QUALIFICATIONS MUST-HAVE EXPERIENCE - 【5+】 years of software engineering with Node.js, TypeScript, Next.js, and Postgres, including edge or serverless runtimes such as Cloudflare Workers - Production browser automation with Playwright (Browserbase or similar): resilient selectors, retries, failure handling at scale - Production experience with dynamic prompting — content that depends on input variables and injected context - Structured outputs in production: JSON mode, function calling, Zod/JSON schemas - Experience with unified LLM APIs or AI gateways (OpenRouter, Cloudflare AI Gateway): rate limits, fallbacks, cost-effective model selection - LLM observability with Langfuse or similar: tracing, test datasets, scoring integration - Evaluation methodology: RAGAS or custom LLM-as-a-judge systems LEADERSHIP ATTRIBUTES - Decides on benchmarks and trace data, not intuition - Analytical — converts generation logs into metrics a business can act on - Iterative — builds feedback loops and improves continuously - Owns the outcome from experiment to production, and after - Verifies before trusting — treats LLM output as unproven until validated LOCATION Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours. BENEFITS Discover the perks of being part of our vibrant team! We offer: - Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance. - Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days. - Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge. - Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them. - Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth! INTERVIEW PROCESS After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps: - Recruiter Screening (40 minutes) - Technical Interview (60 minutes) - Final Interview (30 minutes) LIFE AT RUBY LABS At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day. This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen. Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success. #LI-Remote

· JVM based apps; · Service architecture;

Location: Singapore Workplace: Hybrid About Cantina: Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning. About the Role: Cantina is expanding, and we're looking for an ML Engineer to join our growing Singapore team! In this role, you will build and scale systems for ingesting, processing, and delivering large-scale video and multimodal data for model training. You'll own the full pipeline — from raw content to curated, filtered, and training-ready datasets — with a focus on speed, reliability, reproducibility, and cost-efficiency. You'll partner closely with curation and modeling teams to operationalize evolving dataset recipes and iterate on approaches that improve model outcomes. What You’ll Do: - Design and scale distributed data pipelines for preprocessing, dataset generation, and repeated dataset refreshes - Own workflow orchestration, job scheduling, monitoring, and failure recovery for large-scale data processing jobs - Implement and maintain containerized pipeline infrastructure using Kubernetes or equivalent orchestration systems - Optimize cloud-based data storage and movement across providers (AWS, GCS, or Azure) for cost, throughput, and operational efficiency - Define and implement best practices for dataset storage layout, versioning, caching, retention, and access patterns - Design and implement curation pipelines that determine which video and image content is selected, filtered, and retained for model training, including image-text pair datasets used in joint training regimes - Build and improve VLM-based captioning and metadata generation workflows at scale across both video and image data - Develop and apply quality and aesthetic scoring models, CLIP-based semantic filtering, and other signal-extraction approaches for data selection - Build tooling to support deduplication workflows at scale, including near-dedup and exact deduplication pipelines over large video corpora - Analyze dataset composition, identify quality issues, and iterate on curation logic to improve training outcomes - Define and evolve standards for what constitutes high-quality, training-ready video data across different training regimes What You’ll Bring: - Strong hands-on experience building or scaling large-scale data systems and pipelines for machine learning, including dataset curation, filtering, and quality improvement - Experience with distributed data processing frameworks such as PySpark or Ray, and orchestration tools such as Airflow or equivalent - Familiarity with containerization and container orchestration, including Docker and Kubernetes - Experience working with cloud-based data storage and compute (AWS, GCS, and/or Azure), including tradeoffs around cost, throughput, storage layout, and access patterns - Experience with VLM-based captioning pipelines or quality/aesthetic scoring models for video or image data, including curation of image-text pair datasets for joint image-video training - Familiarity with CLIP-based or embedding-based filtering and semantic data selection techniques - Familiarity with video and media processing tools such as FFmpeg, PyAV, DALI, or OpenCV, and relevant libraries such as Decord, torchvision, PyTorchVideo, or torchaudio - Proficiency in Python - Strong problem-solving, communication, and documentation skills Benefits We Offer: - Competitive salary and generous company equity - Personal time off and paid holidays - Health insurance - Global travel insurance: Covers you when traveling internationally - Monthly spending stipend: $500 (~S$635) - Equipment: All equipment needed for your home office

✔️3+ years in manual QA of web products, including sites running in product with real users. ✔️Solid knowledge of QA fundamentals: testing processes, methodologies, test documentation, client-server architecture.

lead the engineering team, own the architecture and delivery, stay close to the code where it matters.

• Помогать в развертывании и сопровождении инфраструктуры и сервисов; • Администрировать Unix/Linux-системы на виртуальных машинах;

Location: Hyderabad, India Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Senior Software Engineer Location- Hyderabad, India Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s growth at scale. We’re looking for a Senior Software Engineer to join our Hyderabad (Hybrid - 3 days from the office) team. In this role, you’ll help us improve code structure and architecture while leading team project planning to maximise efficiency and reliability across our production systems. Get to know our Engineering team — what drives us, how we work, and what you can expect. What You’ll Be Doing Here’s what your day-to-day might look like: Drive Technical Excellence: Improve code structure and architecture across your team’s remit, performing high-impact code reviews to ensure quality and scalability. Lead Project Planning: Foresee dependencies and risks, partnering closely with Product and Design to ensure smooth delivery of complex features. Optimise Operations: Simplify the maintenance and operation of production systems, promoting visibility, health, and operational readiness. Collaborate & Influence: Build relationships across engineering teams to identify collaboration opportunities and influence the wider technical roadmap. Mentor & Hire: Support the personal growth of your colleagues through technical guidance and take an active role in conducting engineering interviews to scale our team. What You’ll Need to Thrive Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others: Strong Engineering Principles: Deep pride in writing readable, well-designed, and well-tested software. Backend Expertise: Significant experience building web-based applications (we use Go, Ruby/Rails, Python, Scala, and Rust). Data Proficiency: Practical experience with relational databases (PostgreSQL, MySQL) and "NoSQL" backends like Redis, DynamoDB, or ElasticSearch. Systems at Scale: Proven ability to manage web architecture at scale (handling 20krpm and above). Technical Leadership: Experience breaking down large pieces of work and guiding implementation choices for a team of engineers. Why Join Us? At Deliveroo, you’ll do work that matters—solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community organisers, proud parents, and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. 💰 Share in the success you help create Competitive salary and equity options, so you’re rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog . We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Explore our Engineering Interview Guide here to help you feel confident at each stage. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: CAN: Vancouver (333 Seymour St); AU: Melbourne: (260 Burwood Rd) Workplace: Hybrid The role and its impact As a Senior Engineer on the Enterprise Platforms team, you will provide technical expertise across the platforms, integrations, automations, and AI tools that support Xero’s global teams. You will help navigate complex technical challenges from planning through implementation, keeping systems secure, reliable, scalable, and easy to use. Serving as a trusted technical guide, you will offer practical advice on system changes, incidents, and continuous improvement. Working alongside your Platform Lead, you will improve technical standards, reduce system clutter, and build reusable solutions that make daily work smoother for everyone. The team and how they connect The Enterprise Platforms team partners closely with Product Managers, Analysts, Security, Architecture, and Operations to deliver sensible internal solutions. They look after Xero's core SaaS platforms, cloud services, and custom integrations, collaborating through configuration sessions, pair problem-solving, and shared learning. Together, the team focuses on streamlining workflows and maintaining operational excellence across internal technologies. Initially, you will focus on - Enhancing enterprise SaaS platforms, cloud services, and internal automation workflows using APIs and modern platform features. - Designing, developing, and supporting integrations, data migrations, and AI-enabled workflows to connect internal systems safely. - Investigating complex technical incidents, determining root causes, and applying lasting fixes to keep production systems stable. - Creating clear documentation, runbooks, policies, and reusable design patterns to support consistent platform management. Where and how you can work Xero offers a flexible hybrid working model designed to give you balance and connection. You will work from our modern office spaces, coming together with your team on designated boost days to collaborate, connect, and innovate, while enjoying the flexibility to work remotely for the remainder of the week. Here are some of the things we are looking for - A strong background in building, configuring, and supporting cloud services or enterprise SaaS platforms. - Practical experience creating integrations, automations, or system workflows using APIs, scripting, and modern tools. - Demonstrated ability to diagnose technical incidents, resolve root causes, and maintain reliable production environments. - Talent for translating business and user needs into clear, secure, and practical technical solutions. - Expertise in applying security guidelines, access controls, and change management principles within live systems. - Skill in mentoring team members, sharing technical knowledge, and communicating complex technical concepts clearly to diverse stakeholders. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.