Role Description Gravitate is looking for a Product Support Engineer I to join our remote Support team. This is a frontline product-support role for someone who can manage a high volume of incoming SaaS support tickets while delivering strong technical troubleshooting, clear customer communication, disciplined triage and escalation, and continuous improvement of our knowledge base and AI-enabled ticket deflection. This is not a basic helpdesk or call-center role. We are looking for someone who can balance speed, accuracy, customer empathy, technical curiosity, documentation discipline, and a continuous-improvement mindset in a fast-moving support environment. The ideal candidate is comfortable working independently in a remote setting, owns customer issues from intake through resolution or escalation, identifies recurring support patterns, and actively contributes to better self-service resources, internal documentation, and support automation. Qualifications - 3+ years of experience in SaaS, software, product support, technical support, or a similar customer-facing support role. - Experience managing a high volume of support tickets in a queue-based environment. - Strong troubleshooting skills with the ability to investigate, document, and resolve customer issues. - Excellent written communication skills, especially in customer-facing ticket responses. - Strong judgment around prioritization, escalation, urgency, and customer impact. - Experience using ticketing systems, knowledge-base tools, CRM systems, or support platforms. - Ability to create and maintain clear documentation, support notes, and reusable knowledge content. - Comfortable working remotely with strong self-management, accountability, and follow-through. - Curious, resourceful, and willing to learn new products, systems, workflows, and tools. - Positive, collaborative approach with a strong desire to help customers and teammates succeed. Requirements - Able to manage multiple concurrent customer issues while balancing speed, accuracy, and customer empathy. - Comfortable working within SLA, severity, escalation, and customer-impact guidelines. - Able to provide clear reproduction steps, business impact, screenshots, logs, and supporting details when escalating issues. - Able to recognize recurring ticket patterns and translate them into knowledge-base improvements, reusable responses, product feedback, or ticket-deflection opportunities. - Comfortable communicating with customers during urgent, ambiguous, or high-friction situations while remaining calm, professional, and solution-oriented. - Demonstrates sound judgment when handling customer data, screenshots, logs, account information, and confidential details. - Comfortable staying current on product releases, known issues, customer workflows, and support best practices. - Able to maintain strong Central Time overlap, reliable availability during core support hours, and comfort collaborating through video calls, screen sharing, and distributed team communication. Benefits - Experience supporting a B2B SaaS product. - Familiarity with SQL, APIs, logs, integrations, data flows, or technical troubleshooting tools. - Experience contributing to customer-facing help centers, internal knowledge bases, macros, or support playbooks. - Experience using AI tools in a support environment for drafting, summarization, documentation, routing, or ticket deflection. - Experience working with Product, Engineering, Customer Success, or Implementation teams. - Ability to identify recurring support themes and recommend scalable improvements. - Experience in a remote-first or distributed team environment. What Success Looks Like in the First 90 Days Within the first 90 days, the Product Support Engineer I should be able to independently manage a high-volume support queue with appropriate prioritization, clear customer communication, accurate ticket notes, and timely follow-through. They should demonstrate sound escalation judgment, contribute updates to internal or customer-facing knowledge-base content, identify recurring ticket patterns, and use approved AI tools responsibly to improve support efficiency, documentation quality, and ticket deflection. Physical Requirements - Ability to sit and work at a desk for extended periods. - Participate in video calls and screen sharing as needed throughout the workday.

Description About the Team The Compression and Parity team in GM's Autonomous Vehicle (AV) Organization enables repeatable, high-velocity model deployments through principled and automated model compression under strict safety guarantees. We partner closely with model developers and deployment and infra engineers to ship numerically robust, low-latency models to the car, blending rigorous analysis with state-of-the-art methods and our own innovations. About the Role Over time, you will help grow and evolve the Compression and Parity function through the following: - Developing and iterating on quantization and compression strategies for our AV models, considering model numerical properties, safety and latency constraints, and hardware performance, and partnering on deployment of quantized models to NVIDIA-based AV hardware with our deployment, compiler, and kernel teams - Advancing our numerical sensitivity analyses to recommend safe compression policies per op/layer/block, using AV-relevant metrics (perception, trajectory, etc.) to evaluate compressed models, and collaborating with Embodied AI to support compression-aware modeling - Evolving sensitivity analysis, compression, and parity tooling into a connected, automated flow that makes low-precision deployments repeatable, reliable, and low-touch, with an emphasis on robust execution and maintainability - Bridging the gap between state-of-the-art model compression research and safety-constrained deployment while making strong technical contributions in cross-functional projects and educating others on best practices Your Skills & Abilities (Required Qualifications) - Bachelor's degree in Computer Science, Electrical Engineering, Physics, Mathematics, Data Science / ML, or a closely related quantitative field (or equivalent experience) - 3+ years of industry experience focused on model optimization and deployment, with significant hands-on work in neural network quantization / model compression / efficient inference or relevant experience - Strong proficiency in PyTorch and experience with graph-level representations (e.g., PyTorch FX, ONNX) for capture and manipulation - Background in numerical linear algebra and optimization (conditioning, spectral properties, Jacobians, Hessians) and how they relate to quantization robustness What Will Give You A Competitive Edge (Preferred Qualifications) - Master's or PhD degree in related quantitative fields - Deep experience with PTQ and QAT, compression frameworks (e.g., PT2E, ModelOpt, torchao) and advanced quantization algorithms (e.g., GPTQ, AWQ, SmoothQuant, QuIP, SparseGPT), as well as with building or extending quantization toolchains - Hands-on experience designing numerics observability and sensitivity tooling integrated into training or evaluation pipelines (logging ranges, saturation, quant noise, etc.) - A track record of collaboration, including leading cross-functional initiatives and mentoring others - Experience with additional compression techniques such as structured/unstructured pruning, low-rank decomposition, or knowledge distillation - Experience with perception and/or transformer-based models (e.g., multi-view encoders, BEV backbones, detection/segmentation heads, trajectory or planning networks), ideally in AV / ADAS - General understanding of kernel performance and optimization for reduced precision formats - Direct experience with specialized hardware accelerators for edge deployment on tight latency and memory budgets (automotive SoCs, robotics platforms, or similar) - Published research, open-source contributions, or other notable, intellectually curious work in quantization, compression, or efficient inference - 3+ years of industry experience focused on model optimization and deployment, with significant hands-on work in neural network quantization / model compression / efficient inference or relevant experience Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. - The salary range for this role: is $128,700 to $261,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. - Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. - Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. #GM-AV-1 This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}. The selected candidate will be required to travel <25% for this role. This job may be eligible for relocation benefits. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Total Rewards | Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

• Design, build, and integrate AI agents that augment development, QA, and platform workflows • Collaborate with engineering and platform teams to embed agentic tools into CI/CD pipelines • Enable adaptive automation across DevSecOps processes • Orchestrate agent behavior and integrate RAG‑based knowledge retrieval • Ensure observability and implement policy‑driven guardrails for secure AI use across the SDLC

Role Description We are looking for a reliable Handyman to undertake upkeep and repair tasks at the interior or exterior of company premises. We’ll rely on you to keep our facilities in perfect condition by doing various odd jobs. - Clean facilities by sweeping, dusting, etc. - Perform maintenance and light repairs - Perform routine landscaping on the grounds - Paint and fill gaps or crevices (on walls, sidewalks, etc.) - Undertake light installation or carpeting (e.g. build cabinets) - Repair equipment or appliances - Assist tradespeople with electrical, plumbing, or HVAC repairs - Undertake duties as assigned or emergency tasks (e.g. shoveling snow) - Identify and report the need for major repairs Qualifications - Proven experience as a handyman - Experience with hardware tools and electrical equipment - Basic understanding of electrical, plumbing, or HVAC systems - Basic math skills - Good communication ability - Well-organized and apt in problem-solving - Attention to detail - High school diploma or equivalent Requirements - Deft hands and technical knowledge are important parts of a handyman’s arsenal. - You must be well-organized with strong general repair skills. - A keen eye for detail and physical stamina are valued greatly in this job. Benefits - Build your future with a secure & safe platform. - Be your own boss by choosing the TASKS that best suit your schedules. - Build your income to help increase your revenue. - Book tasks that are within a 15-mile radius. - Clients will have a choice to give the providers reviews and star ratings. Company Description Instasks App is a Professional Concierge Service. The app provides top-tiered professionals and clients with an online platform. Our mission is to help all providers strive to achieve their financial and independent goals. - Providers over the age of 18 and, by law, over the age of 21 for any tasks serving liquor. - Our client's and providers' health & well-being are our highest priorities. - All providers undergo an extensive background check through a third-party company. - Each provider will go through etiquette training to ensure friendly and well-mannered service.