Industry: Trading / Import & Distribution Salary Range: THB 40,000 - 65,000 per month Location: Bangkok, Thailand Our client, a well-established trading and import/distribution business, is seeking an experienced Accounting and Finance Manager to oversee the full accounting function and support strategic financial decision-making.

Who we areSamsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations.

Work ScheduleStandard (Mon-Fri)Environmental ConditionsOfficeJob DescriptionHere at Thermo Fisher Scientific, our industry-leading scale means unparalleled commercial reach, unique customer access and a global footprint.

About the jobMercor connects elite creative and technical talent with leading AI research labs.

We are looking for a Physics Chart Analysis Expert to work on evaluating AI model performance on physics problems, producing original problem sets, and annotating tasks to improve AI model outputs.

Evaluates AI-generated written conversations using predefined rubrics to enhance performance.

Mercor connects elite creative and technical talent with leading AI research labs.

This is an exciting opportunity to join an ambitious team and contribute significantly to the expansion of NielsenIQ (NIQ) in the media sector - with customers such as media agencies, social media agencies, and media providers.

Headquarters: USA URL: http://plugingenie.com I'm hiring a generalist to help run and grow our business. Our company embraces 100% remote work and flexible hours. This can be a full-time or a part-time position. You will get to do a lot of different things in this role: Customer success & service: Onboarding, debugging Marketing content: SEO, videos Paid ads: AI, search Sales: Outreach to partners Review management One-off projects I'd like to hire you if you: Have 1+ years' experience with Microsoft Power Automate. Are self-motivated and can solve problems independently. Like to work on a variety of tasks. Have excellent written and verbal English skills. Live in North or South America. My company is called Plugin Genie. I've only recently taken over management. We sell a connector between Monday.com and Microsoft Power Automate. This connector helps businesses who use Monday.com create automations to connect with the 1,000+ tools that Power Automate can talk to. This helps companies automate tedious workflows and integrate their various systems together, while still relying on Monday.com for their collaboration and work management. You will be responsible for running the day-to-day operations. You'll get to interact with customers to make sure they understand it, as well as helping them with any issues that come up. You'll get to work on marketing efforts, creating articles, videos and ads. You'll have a lot of autonomy to figure out how to best approach a problem. This will be an enjoyable role for the right person. So, if you want to have a meaningful impact on a helpful product, and join a small, distributed team, then we should talk. To apply, fill out the application here: https://forms.gle/7WHLEmLCBhTEHLdr6 Thanks,Ben P.S. I want you to be happy working for me. You'll be evaluated on results, nothing else. To apply: https://weworkremotely.com/remote-jobs/plugin-genie-generalist-ft-or-pt-ms-power-automate

Senior Site Reliability Engineer - AI InfrastructureLocation: Global Remote / San Francisco · Full-TimeAbout AndromedaAndromeda Cluster was founded by Nat Friedman and Daniel Gross to give early-stage startups access to the kind of scaled AI infrastructure once reserved only for hyperscalers.We began with a single managed cluster — but it filled almost instantly. Since then, we’ve been quietly building the systems, network, and orchestration layer that makes the world’s AI infrastructure more accessible.Today, Andromeda works with leading AI labs, data centers, and cloud providers to deliver compute when and where it’s needed most. Our platform routes training and inference jobs across global supply, unlocking flexibility and efficiency in one of the fastest-growing markets on earth.Our long-term vision is to build the liquidity layer for global AI compute — a marketplace that moves the infrastructure and workloads powering AGI not dissimilar to the flows of capital in the world’s financial markets.We are expanding to new frontiers to find the brightest that work in AI infrastructure, research and engineering.The RoleThis is not a generalist SRE role.You will design, operate, and debug large-scale GPU infrastructure used for distributed training and inference, working directly with customers pushing the limits of modern AI systems.We’re looking for engineers who have personally run GPU clusters in production, understand the failure modes of distributed training, and can reason about performance from network fabric → kernel → framework.What You’ll OwnGPU Cluster Architecture: Design and evolve multi-provider, multi-region GPU compute clusters optimized for large-scale training. Make topology-aware scheduling, networking, and storage decisions that directly impact training throughput and cost efficiency.Customer Technical Partnership: Serve as the primary technical point of contact for customers running large-scale training workloads. Onboard, troubleshoot, and optimize, often in real time.Reliability & Performance Engineering: Define SLOs and error budgets that account for the unique failure modes of GPU infrastructure (ECC errors, NVLink degradation, NCCL timeouts). Own capacity planning across heterogeneous GPU fleets optimized for training throughput.Networking & Fabric Health: Ensure the health and performance of high-speed interconnects (InfiniBand, RoCE, NVLink) that underpin distributed training. Diagnose and resolve fabric-level issues that degrade collective operations.Observability: Build deep visibility into GPU utilization, memory pressure, interconnect throughput, training job performance, and hardware health. Go well beyond standard infrastructure metrics.Automation & Tooling: Build production-grade automation for cluster provisioning, GPU health checks, job scheduling, self-healing, and firmware/driver lifecycle management.Incident Leadership: Lead incident response for complex, multi-layer failures spanning hardware, networking, orchestration, and ML frameworks. Drive blameless postmortems and systemic fixes.What We’re Looking ForGPU Systems Expertise: Deep, hands-on experience operating large-scale GPU clusters (NVIDIA A100/H100/B200 or equivalent). You understand GPU memory hierarchies, ECC behavior, thermal throttling, and hardware failure modes from direct experience not documentation.High-Performance Networking: Production experience with InfiniBand, RoCE, or NVLink fabrics in the context of distributed training. You can diagnose why an all-reduce is slow, identify a degraded link in a fat-tree topology, and reason about congestion control at scale.Distributed Training & ML Frameworks: Working knowledge of how large training jobs actually run — NCCL, CUDA, PyTorch distributed, DeepSpeed, Megatron, FSDP, or similar. You don't need to write the models, but you need to understand what's happening at the systems level when a 1,000-GPU training run stalls.Linux & Systems Internals: Expert-level Linux knowledge: kernel tuning, driver management (NVIDIA drivers, CUDA toolkit), cgroup/namespace internals, performance profiling at the syscall and hardware level.Kubernetes & Orchestration: Strong experience running Kubernetes in production with GPU workloads, including device plugins, topology-aware scheduling, multi-cluster federation, and custom operators. Experience with Slurm or other HPC schedulers is equally valued.Automation & Software Engineering: Strong engineering skills in Python, Go, or Bash. You build production-grade tools and services, not just scripts. Infrastructure-as-Code proficiency (Terraform, Helm, Ansible, or equivalent).Observability & Monitoring: Hands-on experience building monitoring and alerting for GPU infrastructure, not just Prometheus/Grafana basics, but GPU-specific telemetry (DCGM, nvidia-smi, fabric manager metrics) integrated into actionable dashboards.Incident Management: Proven track record leading incident response for complex distributed systems where the failure could be in hardware, firmware, networking, drivers, orchestration, or application code and you need to narrow it down fast.Strong Candidates May HaveDistributed Storage: Experience with high-performance parallel file systems (VAST, Weka, Lustre, GPFS) and the checkpoint I/O and data-loading bottlenecks that come with large training runs.Training Optimization: Experience profiling and optimizing distributed training performance: identifying stragglers, tuning collective communication strategies, improving MFU (Model FLOPs Utilization), and reducing idle GPU time across large runs.Cluster Buildout & Hardware: Experience involved in physical cluster design - rack layout, power/cooling constraints, network topology design, and hardware validation/burn-in at scale.Team Leadership: Experience leading or mentoring a team of infrastructure engineers. We're growing and need people who raise the bar for everyone around them.Why You’ll Love It HereThis is a high-impact, senior builder’s role. You’ll have significant ownership and autonomy to shape how our systems run at a foundational level, working directly with customers and providers while architecting the infrastructure backbone for reliable, scalable AI compute. You’ll influence technical direction and help define what world-class AI infrastructure operations look like.Andromeda Cluster is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.