About Us Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. Role overview We are looking for Engineering Design Specialists (e.g., electrical, mechanical, robotics, etc) to create simulation-based design challenges used to train and evaluate advanced AI systems. This role goes beyond analysis — it focuses on true engineering design thinking, where problems require trade-offs, iterative reasoning, and validation against physics-based simulations under real-world constraints. Commitments Required: 8 hours per day with an overlap of 4 hours with PST. Employment type: Contractor assignment (no medical/paid leave) Duration of contract: 5+ months Location: Brazil, Colombia, Egypt, Ghana, India, Indonesia, Kenya, Nigeria, Pakistan, Turkey, Vietnam Interview: take home assessment (60min) + short interview Your Daily Responsibilities - Design realistic, simulation-driven engineering problems with clear constraints and optimization goals - Develop complete problem sets including: Reference solutions, Edge cases and failure modes, Near-miss variants - Ensure problems reflect real-world engineering complexity, including competing requirements and design trade-offs - Validate correctness and physical realism (units, boundary conditions, convergence, feasibility) - Collaborate with research teams to refine problem quality based on model performance - Continuously improve problem difficulty and diversity across scenarios Domain Expertise (at least one required) - Electrical & Computer Engineering — analog/mixed-signal, power electronics, RF, FPGA/ASIC, embedded systems - Mechanical Engineering — thermal/fluids, structures, dynamics, HVAC, manufacturing - Chemical Engineering — reactors, separations, process optimization, thermochemistry - Control Systems — feedback systems, state estimation, nonlinear/robust control - Materials / Nano — materials selection, microstructure design, nanoscale systems - Engineering Physics / Optics — photonics, lasers, wave propagation - Aerospace Engineering — aerodynamics, propulsion, flight dynamics - Civil / Structural Engineering — structural design, geotechnical, seismic/wind loads - Nuclear / Energy — reactor systems, thermal-hydraulics, energy systems - Systems Engineering — system architecture, trade studies, integration - Robotics — kinematics, motion planning, mechatronics

About Us Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. Role overview We are looking for Engineering Design Specialists (e.g., electrical, mechanical, robotics, etc) to create simulation-based design challenges used to train and evaluate advanced AI systems. This role goes beyond analysis — it focuses on true engineering design thinking, where problems require trade-offs, iterative reasoning, and validation against physics-based simulations under real-world constraints. Commitments Required: 8 hours per day with an overlap of 4 hours with PST. Employment type: Contractor assignment (no medical/paid leave) Duration of contract: 5+ months Location: Brazil, Colombia, Egypt, Ghana, India, Indonesia, Kenya, Nigeria, Pakistan, Turkey, Vietnam Interview: take home assessment (60min) + short interview Your Daily Responsibilities - Design realistic, simulation-driven engineering problems with clear constraints and optimization goals - Develop complete problem sets including: Reference solutions, Edge cases and failure modes, Near-miss variants - Ensure problems reflect real-world engineering complexity, including competing requirements and design trade-offs - Validate correctness and physical realism (units, boundary conditions, convergence, feasibility) - Collaborate with research teams to refine problem quality based on model performance - Continuously improve problem difficulty and diversity across scenarios Domain Expertise (at least one required) - Electrical & Computer Engineering — analog/mixed-signal, power electronics, RF, FPGA/ASIC, embedded systems - Mechanical Engineering — thermal/fluids, structures, dynamics, HVAC, manufacturing - Chemical Engineering — reactors, separations, process optimization, thermochemistry - Control Systems — feedback systems, state estimation, nonlinear/robust control - Materials / Nano — materials selection, microstructure design, nanoscale systems - Engineering Physics / Optics — photonics, lasers, wave propagation - Aerospace Engineering — aerodynamics, propulsion, flight dynamics - Civil / Structural Engineering — structural design, geotechnical, seismic/wind loads - Nuclear / Energy — reactor systems, thermal-hydraulics, energy systems - Systems Engineering — system architecture, trade studies, integration - Robotics — kinematics, motion planning, mechatronics

Sales Engineer The Company: Varonis (Nasdaq: VRNS) is a leader in data security, fighting a different battle than conventional cybersecurity companies. Our cloud-native Data Security Platform continuously discovers and classifies critical data, removes exposures, and detects advanced threats with AI-powered automation. Varonis protects data first, not last. Learn more at www.varonis.com. The Role: We are seeking a dynamic and innovative Sales Engineer to join our team. The ideal candidate will have a strong cloud computing and cybersecurity background, with a proven history of supporting sales teams in complex technical environments. As a Sales Engineer, you will play a critical role in driving the adoption of Varonis solutions by providing technical expertise, conducting product demonstrations, and building strong relationships with customers. This is a rewarding opportunity to work with a market leader and make a significant impact. The Location: We are considering candidates who can work in a remote model based in the Philippines. The Requirements: - Bachelor’s degree in computer science, Information Technology, or a related field. Advanced degree preferred. - Minimum of 3 years of experience in a sales engineering or technical pre-sales role, with a focus on cloud computing and cybersecurity. - Strong understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) and cybersecurity principles. - Strong knowledge of SaaS applications such as Microsoft 365 and Salesforce. - Experience with data security concepts or solutions, IAM, and compliance frameworks. - Excellent communication and presentation skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences. - Travel as needed to support sales activities. - Thrives and is enthusiastic about engaging with clients and partners, adept at client-facing entertainment and rapid relationship-building. - Results-oriented with a demonstrated ability to achieve and exceed targets. - Relevant certifications (e.g., CISSP, CCSP, AWS Certified Solutions Architect) are a plus. The Responsibilities: - Collaborate with sales to understand customer requirements and provide technical solutions that address their needs. - Conduct in-depth product demonstrations and presentations to prospective clients, highlighting the value and capabilities of Varonis solutions. - Develop and deliver technical proposals, including architecture diagrams, implementation plans, and integration strategies. - Serve as a technical advisor to customers, providing guidance on best practices for data security, cloud computing, and cybersecurity. - Assist in developing sales strategies and account plans to achieve revenue targets. - Stay current with industry trends, emerging technologies, and competitive landscape to effectively position Varonis solutions. - Provide feedback to the product management team on customer requirements and market trends to influence product development. - Participate in industry events, conferences, and webinars to promote Varonis solutions and establish thought leadership. - Support and drive sales activity to over-achieve targets. We invite you to check out our Instagram Page to gain further insight into the Varonis culture! @VaronisLife Varonis is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, and other legally protected characteristics #LI-Remote

Location: Remote US Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on behalf of a fast-growing AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by MIT CSAIL researchers. We are searching for a CUDA Kernel Engineer who has hands-on experience developing and optimizing NVIDIA CUDA kernels from scratch. You will work on the GPU performance layer powering large-scale, high-throughput AI systems used by Fortune 500 customers. This role is ideal for someone who deeply understands NVIDIA GPU architecture, memory hierarchy, warp-level execution, and profiling workflowsnot someone coming from generic hardware, FPGA, or non-NVIDIA compute backgrounds. You will directly influence the GPU efficiency, throughput, and scalability of mission-critical AI systems. What Youll Do - Design, implement, and optimize custom CUDA kernels for NVIDIA GPUs, with a focus on maximizing occupancy, memory throughput, and warp efficiency. - Profile GPU workloads using tools such as Nsight Compute, Nsight Systems, nvprof, and CUDA‐MEMCHECK. - Analyze and eliminate performance bottlenecks including warp divergence, uncoalesced memory access, register pressure, and PCIe transfer overhead. - Improve GPU memory pipelines (global, shared, L2, texture memory) and ensure proper memory coalescing. - Collaborate closely with AI systems, model acceleration, and backend distributed systems teams. - Contribute to GPU architecture decisions, kernel libraries, and internal performance-engineering best practices. What Were Looking For - Proven track record building NVIDIA CUDA kernels from scratchnot just calling existing libraries. - Strong ability to optimize kernels (tiling strategies, occupancy tuning, shared memory design, warp scheduling). - Deep understanding of CUDA threads, warps, blocks, and grids, GPU memory hierarchy and memory coalescing, as well as warp divergence (how to detect, analyze, and mitigate it) - Experience diagnosing PCIe bottlenecks and optimizing host-device transfers (pinned memory, streams, batching, overlap). - Familiarity with C++, CUDA runtime APIs, and GPU debugging/profiling tooling. Bonus Points - Experience with multi-GPU or distributed GPU systems (NCCL, NVLink, MIG). - Background in GPU acceleration for ML frameworks or HPC workloads. - Knowledge of model inference optimization (TensorRT, CUDA Graphs, CUTLASS). - Exposure to compiler-level optimization or PTX/SASS analysis. - Startup experience or comfort working in fast-moving, ambiguous environments. Why This Role Will Pivot Your Career - Research pedigree: MIT CSAIL founders recognized for breakthrough AI and systems contributions. - Customer impact: Deploy AI solutions powering Fortune 500 clients. - Industry momentum: Lab alumni have led high-value acquisitions (MosaicML Databricks, Run:AI Nvidia, W&B CoreWeave). - Funding & growth: Oversubscribed seed round, next funding in 2026. - Career growth & influence: Lead AI initiatives, optimize pipelines, and directly impact production AI systems at scale. - Culture & autonomy: Own critical systems while collaborating with world-class engineers. - Aspirational impact: Solve GPU/AI performance challenges few engineers ever face. Benefits - Competitive salary & equity options - Sign-on bonus - Health, Dental, and Vision - 401k Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.