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Experience: 5-8 years in a customer-facing technical role (Solutions Engineer, Solutions Architect, Sales Engineer, or Technical Pre-Sales), ideally within an AI/ML infrastructure or cloud enterprise company. In this role, you will lead technical discovery calls, build high-impact demos and proofs-of-concept (POCs), and translate client requirements into tailored platform architectures and pricing structures.

Bitdeer Technologies Group

Solutions Engineer Model Studio

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Experience: 5–8 years in a customer-facing technical role (Solutions Engineer, Solutions Architect, Sales Engineer, or Technical Pre-Sales), ideally within an AI/ML infrastructure or cloud enterprise company. In this role, you will lead technical discovery calls, build high-impact demos and proofs-of-concept (POCs), and translate client requirements into tailored platform architectures and pricing structures.

Solutions Engineer (Model Studio) (Remote)

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Working knowledge of modern inference runtimes (vLLM, SGLang, TensorRT-LLM, Dynamo, Triton) and the optimization patterns that matter in production: continuous batching, KV cache management, cold starts, prefill versus decode, disaggregated serving, and multi-model serving. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment-on-premises, in the cloud, at the edge, or in sovereign data centers.

Mirantis Inc

Product Manager - AI Inference & Model Serving

If there is an error with your submission and you did not receive a confirmation email, please email careers@fluidstack.io with your resume/CV, the role youve applied for, and the date you submitted your application-- someone from our recruiting team will be in touch. Powerful AI will be the biggest lever for human choice weve ever built - but only if models are aligned with what humanity actually wants.

Fluidstack Ltd

Software Engineer, Infrastructure Modelling

These models serve as a golden reference for verifying RTL implementations and enable our software teams to begin developing validation and customer-facing code long before hardware is available. We've raised over $100M from world-class investors including Softbank, Threshold Ventures, Lux Capital, and DCVC, and secured multi-million-dollar customer contracts across multiple markets.

YEAR

Mythic

Architecture Modeling Engineer

Deloitte brings together AI researchers, modeling and platform engineers, architects, clinical and domain specialists, and product leaders to build, deploy, and operate verticalized AI systems across software, data, models, and cloud infrastructure - engineered for one of the most complex operating environments in the world. Three hundred fifty million Americans rely on a healthcare system whose decision-making has become slow, costly, and adversarial - care delayed by prior authorization and paperwork, claims that misfire, clinical decisions made without the right information at the right moment, and patients who struggle to navigate or afford the care they need.

Deloitte

Research Engineer - Post-Training & Small Language Models (Slms), Healthcare AI

Minimum Qualifications: Bachelor''s degree in Electrical Engineering, Computer Science, Computer Engineering, or related field and 6+ years of Software Engineering, Electrical Engineering, Systems Engineering, or related work experience. Master''s degree in Electrical Engineering, Computer Science, Computer Engineering, or related field and 5+ years of Software Engineering, Electrical Engineering, Systems Engineering, or related work experience.

Qualcomm Inc

Performance Modeling Engineer Processor, AI Accelerator, and SoC Architecture- Sr.Staff

Works closely with ERCOT System Operations, System Operations Support, Market Operating Services Support, Client Services, Metering, and other ERCOT internal departments regarding models, one-line displays, and model data. Processes ERCOT's Network Operations Model Change Request (NOMCR), Collaborative Action Model Request (CAMR), Resource (RSCR) and develop graphical representations of these Change Requests in the EMS.

Electric Reliability Council of Texas Inc

Network Model Analyst Sr (Electric Utility Industry)

Support engineering activities such as designing, validating, and refining Powertrain processes (Joining, Welding, Assembly, Testing, Equipment) to improve throughput and reduce waste. As a Process Engineering Technician at Tesla, you will play a pivotal role in optimizing assembly processes to enhance efficiency, quality, and safety in our fast-paced Drive Unit shop.

Tesla Inc

Engineering Technician, Model Y, Drive Unit

As a Hemming Engineering Technician, you will be responsible for all roller hemming equipment including set up and optimization activities, spotting & tuning, hem tooling maintenance, and supporting new product hemming modification changes in the Model Y Closure lines. This role involves collaboration with Engineering, Quality, and New Product Introduction (NPI) teams to enhance process efficiency, implement improvements, and address technical issues.

Engineering Technician, Model Y, Body

As an Engineering Technician at Tesla, you will play a pivotal role in optimizing assembly processes to enhance efficiency, quality, and safety in our fast-paced Press shop. Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire: Medical plans > plan options with $0 payroll deduction.

Engineering Technician, Model Y, Press

Evals owners own execution of verification pipelines within their products; this role ensures consistency and identifies gaps across the portfolio while building institutional competence by surfacing performance patterns and proven methodologies, enabling evals captains' ability to execute and unblocking them as needed Defines what leadership needs to see, how model health should be measured and reported, and what thresholds trigger escalation Provides thought partnership to evals managers on narrative of model health, provides visibility into our classification strategy and accuracy measurement process Works with evaluation managers to drive cross-app taxonomy alignment in alignment with cross-functional needs and advises on a strategy for the migration of LLM accuracy assessment to judges Owns the consolidated view of all production model performance, identifies systemic patterns and emerging risks, and ensures leadership can verify model health on demand Partners with AI Implementations, operational systems teams and the Metrics & Measurement team to build and maintain the infrastructure that surfaces this information Establishes performance guardrails that evals captains implement. Continuously scans industry developments and best practices to incorporate into org-wide approach Maintains a tight feedback loop with product and eng teams across apps to ensure alignment on production priorities and deployment risks Deploys deep SME expertise to diagnose, unblock and directly resolve technical bottlenecks to complex model quality problems (atrophy, accuracy regressions, performance plateaus) when evaluation leads encounter blockers they cannot resolve independently Drives alignment with cross-functional teams (quality and reliability partner teams) on tooling needs to support Product Operations classification strategy (ML classification tooling for initial-tier classification, user voice, breakdown graphs).

Meta Platforms Inc

Product Operations Manager, Model Quality

Turn customer learnings into reusable discovery guides, value propositions, evaluation playbooks, and enablement resources; use AI tools and automation to improve sales productivity8+ years of B2B technology sales experience, including selling enterprise software, cloud platforms, developer tools, or API-based products Experience owning a sales target and meeting or exceeding revenue or consumption goals through new customer acquisition and account expansion Experience managing sales cycles and complex agreements involving technical evaluation and multiple stakeholders, including executive sponsors, engineering teams, and procurement Experience translating technical capabilities into business value and presenting to both technical and non-technical audiences Experience partnering with Solutions Architects, Sales Engineers, or equivalent technical teams to advance customer evaluations and adoption Experience developing account plans, managing and owning pipeline and forecasts, and using data to prioritize opportunities and assess risk Bachelor's degree or equivalent practical experience Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience converting pilots into paid production deployments, expanding usage across workloads, and building customer-specific return-on-investment or total-cost-of-ownership analyses Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Understanding of LLM application patterns and evaluation trade-offs, including agents, retrieval-augmented generation, coding workflows, summarization, model routing, and token-based economics Experience selling generative AI, large language model APIs, AI infrastructure, or consumption-based cloud and developer platforms Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Experience working with AI-native companies, independent software vendors, or enterprise teams integrating AI into customer-facing products or internal workflows Experience building sales playbooks for emerging products, collaborating across functions in ambiguous environments, and using AI tools to improve research, outreach, and account planningMeta builds technologies that help people connect, find communities, and grow businesses. Coordinate with technical, operations, finance, and legal partners to address integration, billing, procurement, security, and data-handling questions, and escalate blockers to the appropriate owners Grow consumption by identifying additional workloads, applications, and teams within customer accounts.

Account Executive, Model AI API

Support the consistent application of US forecasts and modelling outputs across the RWE Group, and communicate key findings and implications to stakeholders in North America and at Group level, including Commercial Analysis, Strategy, Commercial Optimization, Regulatory Affairs, Controlling, and Finance, as well as the internal management team (Head of US Long-Term Power Modelling and Head of Strategic Market Analysis). Closely collaborate with your team members and other parts of Strategic Market Analysis to learn from experienced modelers and to assure that overarching or global long-term modelling concepts and assumptions are in line with established RWE principles.

US Power Market Modelling Analyst

Co-design tiling, scheduling, the instruction set architecture (ISA), the SRAM and High Bandwidth Memory (HBM) hierarchy, network-on-chip (NoC) traffic, and multi-chip mapping across pipeline, tensor, and sequence parallelism, including collectives. 8+ years of experience in hardware modeling, functional modeling, performance modeling, performance simulation, or accelerator performance analysis used by architects, RTL, compiler and runtime, or silicon teams.

Neurophos

Staff Modeling Architect

In this role, you will build models that capture the interaction between AI workloads, software stacks, and hardware architectures, enabling rigorous evaluation of system-level tradeoffs. You will work alongside experienced leaders, architects, engineers, and operators who have delivered industry-defining products across mobile, cloud, semiconductor, and AI platforms.

Velaura

Performance Modeling Architect – AI Systems

Build in one or more layers of the modeling stack: roofline and limiter studies; Python energy and latency models; C++ functional models of optical GEMM, SRAM vector processors, dataflow engines, and HBM; cycle-approximate performance and power models; and RTL simulation with Verilator and SystemVerilog. The second is hardware models: functional, performance, and power models of compute blocks, memory, and hardware/software interfaces built in an event-driven simulator, plus RTL simulation.

Modeling Architect

WPP Enterprise Solutions works alongside best-in-class partners including Adobe, AWS, Braze, Google, Microsoft, Salesforce, and Shopify, as well as innovators in AI, to deliver growth solutions tailored to the needs of our clients' businesses. With a growing portfolio of clients that specialises in designing consumer-centric strategies by combining creativity with data to build valuable relationships between consumers and brands, we are seeking a Business Process Consultant to join our team.

VML MAP AS

Operating Model & Organizational Consultant

Trusted by leading enterprises and government agencies, we partner with defense, finance, telecom, and critical infrastructure leaders to enable AI solutions that drive real-world results with unmatched transparency and control. Available across cloud, on-premises, and edge environments, SeekrFlow reduces bias, strengthens data integrity, and simplifies model oversight so organizations can rely on trusted AI decisions in high-stakes settings that impact society's most sensitive and vital systems.

Seekr Technologies Inc

Principal Product Manager, Model Training & Fine-Tuning

You understand how a long-term zonal price is actually produced: unit dispatch, marginal units and heat rates, fuel and emissions curves, reserve margins and capacity accreditation, renewable shapes, and how zones trade with each other. We are a strategic partner to more than 6,000 customers in 50 countries, delivering business-critical insights to the global energy industry through a state-of-the-art SaaS platform built on industry-leading data and analytics.

Model Jobs in Georgetown, TX

Solutions Engineer Model Studio Bitdeer Technologies Group

Solutions Engineer (Model Studio) (Remote) Bitdeer Technologies Group

Product Manager - AI Inference & Model Serving Mirantis Inc

Software Engineer, Infrastructure Modelling Fluidstack Ltd

Architecture Modeling Engineer Mythic

Research Engineer - Post-Training & Small Language Models (Slms), Healthcare AI Deloitte

Performance Modeling Engineer Processor, AI Accelerator, and SoC Architecture- Sr.Staff Qualcomm Inc

Network Model Analyst Sr (Electric Utility Industry) Electric Reliability Council of Texas Inc

Engineering Technician, Model Y, Drive Unit Tesla Inc

Engineering Technician, Model Y, Body Tesla Inc

Engineering Technician, Model Y, Press Tesla Inc

Product Operations Manager, Model Quality Meta Platforms Inc

Account Executive, Model AI API Meta Platforms Inc

US Power Market Modelling Analyst RWE

Staff Modeling Architect Neurophos

Performance Modeling Architect – AI Systems Velaura

Modeling Architect Neurophos

Operating Model & Organizational Consultant VML MAP AS

Principal Product Manager, Model Training & Fine-Tuning Seekr Technologies Inc

Senior Analyst, Power Markets – Long-Term Forecasting (Modelling) - 26433 Enverus

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