Databricks Forward Deployed Engineer - GPS Deloitte Touche Tohmatsu LtdDatabricks Forward Deployed Engineer - GPSAustin, TX2+ years of experience with Databricks including hands on experience with one of the following key platform technologies; Databricks features for data engineering, data science, and analytics including Lakeflow Connect, Agent Bricks, and Databricks Apps. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets.
Lead Applied AI Engineer II Deloitte Touche Tohmatsu LtdLead Applied AI Engineer IIDallas, TX$113,100–$232,300 / yearYou will leverage your extensive engineering craftsmanship and advanced proficiency across multiple programming languages and modern frameworks, consistently demonstrating your exemplary track record in delivering high-quality, outcome-focused solutions. Advanced Technical Proficiency: Possess deep expertise in modern software engineering practices and principles, including AI and Agentic SSDLC to deliver daily product deployments using full automation from discovery to production to operations with all quality checks through SSDLC lifecycle.
Lead Applied AI Site Reliability Engineer II - PxE ERM Deloitte Touche Tohmatsu LtdLead Applied AI Site Reliability Engineer II - PxE ERMDallas, TX$113,100–$232,300 / year3+ years of experience in site reliability or production engineering for large-scale systems-defining and owning SLIs, SLOs, and SLAs; error budgets; incident command and on-call; building and operating production observability (metrics, tracing, logging-e.g., OpenTelemetry, Prometheus, Grafana, Datadog, Dynatrace, Amazon CloudWatch, Azure Monitor, Google Cloud Operations, SolarWinds, Splunk); environment integrity and drift prevention across pre-production and production; and segregation-of-duties controls (least-privilege/RBAC, deploy approvals, secrets management) in partnership with security and risk. Advanced Technical Proficiency: Possess deep expertise in site reliability and modern production engineering-cloud platform ownership, observability (metrics, tracing, logging), performance and capacity engineering, chaos engineering, and cloud/AI cost engineering-together with applied AI fluency to operate AI and agentic workloads reliably, including AI and Agentic SSDLC, delivering production operations with full automation from discovery to production to operations and all quality checks through the SSDLC lifecycle.
Forward Deployed Engineer - Databricks - Forensic Discovery & Financial Crime Deloitte Touche Tohmatsu LtdForward Deployed Engineer - Databricks - Forensic Discovery & Financial CrimeHouston, TX$134,500–$265,100 / year3+ years of experience in software engineering, data engineering, data science, analytics engineering, or technical delivery roles, with experience in Amazon Web Services (AWS), Microsoft Azure, Google Cloud, or comparable cloud platform services. As a Senior Consultant - Forward Deployed Engineer (FDE) - Databricks on the Forensic, Discovery, & Financial Crime team, you will be responsible for designing, deploying, and scaling AI-enabled solutions that help clients address complex business and technology needs.
Applied AI Site Reliability Engineer III - PxE Talent Deloitte Touche Tohmatsu LtdApplied AI Site Reliability Engineer III - PxE TalentDallas, TX$102,500–$210,600 / year3+ years of experience in site reliability or production engineering for large-scale systems-defining and owning SLIs, SLOs, and SLAs; error budgets; incident command and on-call; building and operating production observability (metrics, tracing, logging-e.g., OpenTelemetry, Prometheus, Grafana, Datadog, Dynatrace, Amazon CloudWatch, Azure Monitor, Google Cloud Operations, SolarWinds, Splunk); environment integrity and drift prevention across pre-production and production; and segregation-of-duties controls (least-privilege/RBAC, deploy approvals, secrets management) in partnership with security and risk. Advanced Technical Proficiency: Possess expertise in site reliability and modern production engineering-cloud platform ownership, observability (metrics, tracing, logging), performance and capacity engineering, chaos engineering, and cloud/AI cost engineering-together with applied AI fluency to operate AI and agentic workloads reliably, including AI and Agentic SSDLC, delivering production operations with full automation from discovery to production to operations and all quality checks through the SSDLC lifecycle.
SRAM Circuit Design Engineer Apple IncSRAM Circuit Design EngineerAustin, TXYou will have the opportunity to integrate and come up with new insights, work with a team of hardworking engineers, and implement groundbreaking techniques of Machine Learning, Circuit design in Apple's marquee products like M1 and A14 Bionic. Be a part of a world-class silicon design team which delivered an incredible high performance M1 chip for our Mac line of products and chips for our flagship products (iPhone, iPad, Mac, Airpods, HomePod and Watch).
NewSoftware Engineer III - AI/ML Developer JPMorgan Chase Bank, N.A.Software Engineer III - AI/ML DeveloperPlano, TXFull timeAs a Software Engineer II at JPMorganChase within the Consumer & Community Banking, you are part of an agile team that works to enhance, design, and deliver the software components of the firm's state-of-the-art technology products in a secure, stable, and scalable way. Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices .
QA Automation Engineer, Apple Store Online Apple IncQA Automation Engineer, Apple Store OnlineAustin, TXIn this role, you will own building content validation test automation frameworks and tools with scale in mind and drive adoption through cross-functional partnershipsOwn building digital content QA automation that will allow us to validate dynamic content at scale across multiple platforms Collaborate with teams across ASO to define, develop, and implement validation automation and tooling Mentor fellow team members on coding best practices and SDLC5+ years of professional experience in quality engineering as a QA Engineer or SDET, with a strong background in coding and implementing scalable automation frameworks Deep expertise with modern scripting languages such as Python and Node.js Experience writing, maintaining, and executing test automation plus familiarity with Continuous Integration tools (e.g. Jenkins) Proficiency with Software Version Control systems like Git (GitHub/Gitlab) Experience with API testing and familiarity with server architecture Bachelor's degree in Computer Science or equivalentDeep knowledge of Agentic AI and LLM driven test frameworks Experience Testing AI Models for accuracy, robustness, fairness, and performance Experience developing LLM based automated evaluation frameworks 3+ years of proven ability in machine learning, including hands-on work with LLMs.
Circuit Design Automation Engineer Apple IncCircuit Design Automation EngineerAustin, TXAs a Custom Design Automation engineer for digital design team, you will perform the following: Responsible for working on initiatives to automate custom analysis flows for fixing the design margins. This is a highly visible role at the heart of a processor design effort, making a critical impact delivering products to market quickly.
St6aff Software Engineer (Agentic AI & Cloud Solutions) CVS Health CorpSt6aff Software Engineer (Agentic AI & Cloud Solutions)Richardson, TX$106,605–$260,590 / year7+ years of experience as a Software Engineer or combination of machine learning and software engineering with 5+ years leading software development projects, including setting project goals, monitoring progress, tracking milestones, communicating with stakeholders, and mentoring junior developers. Architect and implement enterprise-scale Agentic AI solutions leveraging MCP, RAG, reusable Skills, and multi-agent orchestration frameworks to automate complex business processes, enhance decision-making, and accelerate digital transformation initiatives.
Senior Software Engineer - Generative AI & ML, Customer Systems Apple IncSenior Software Engineer - Generative AI & ML, Customer SystemsAustin, TXYou'll be contributing hands on to a team that consists of engineers, data scientists & researchers to enhance a multi-modal, multi-agent platform with a key focus on incorporating research to improve, latency, cost and customer experience. The team also builds and operates AppleCares online support platform, which handles 6 billion visits per year, delivering seamless, high-quality support to Apple customers around the globe.
26983867 Forward Deployed Engineer, AI Transformation -Senior Vice President Citigroup Inc26983867 Forward Deployed Engineer, AI Transformation -Senior Vice PresidentIrving, TX$156,160–$234,240 / yearAt Citi's Tampa campus, you'll join a high-performing team working at the leading edge of AI transformation in financial services with access to a collaborative, performance-driven environment and a benefits package designed to support your professional growth and personal wellbeing. Bridge Communication Gaps: Serve as a key technical translator and liaison between non-technical business users and core engineering teams, ensuring requirements are clearly understood and solutions are fit-for-purpose.
Software Development Engineer, AI & Data Platforms (AiDP) Apple IncSoftware Development Engineer, AI & Data Platforms (AiDP)Austin, TXBS in Computer Science, or similar degree or equivalent industry experience MS in Computer Science, or equivalent experience Works well in dynamic environments, collaborating effectively with many other teams across our organization Strong programming in Golang, as youll be working extensively with Go based systems, building both services and client software Hands-on experience in designing and development of cloud-based applications that include compute services, database services, APIs to design RESTful/gRPC services, ETL, queues and notification services. As a software engineer in AiDP data services team, you will work on building database managed services and data streaming platform that power some of Apple's most critical business use cases.
AI Engineer (Corp Functions & Supply Chain) NTT DATA Services, LLCAI Engineer (Corp Functions & Supply Chain)Dallas, TXLooking for AI Engineer experience in Corporate Functions and Supply Chain designs, builds and deploys intelligent systems to automate logistics, procurement, inventory management, and business workflows. Workflow Automation: Deploy Agentic AI to enable autonomous decision-making-such as auto-rerouting shipments during a supply disruption or updating your Enterprise Resource Planning (ERP) without human intervention.
Software Engineer (Data Solutions), AI & Data Platforms (AiDP) Apple IncSoftware Engineer (Data Solutions), AI & Data Platforms (AiDP)Austin, TXThis is a challenging software engineering role, where a large part of an engineers time is spent in writing code and designing/developing applications on cloud, with the remainder being spent on tuning and debugging codebase, supporting production applications and supporting our application end users. The team brings together data, application development, and machine learning - including generative AI - along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.
GPU Performance Engineer, Platform Architecture Apple IncGPU Performance Engineer, Platform ArchitectureAustin, TXThe team is in a highly collaborative work environment, and you'll be working with experienced architects, modeling engineers, compiler engineers, and software teams to assess the feasibility of new hardware and software features, running performance experiments, analyzing results, and proposing architectural changes. Bachelor's degree Experience writing and debugging C++ code Experience with scripting languages such as Python or Ruby3+ years of experience modeling GPUs, CPUs, or similar MS or PhD degree in related field Experience coding components such as processing cores, texturing units, caches, memory hierarchies, etc.
Senior ML Compiler Engineer General Motors CoSenior ML Compiler EngineerAustin, TX$128,700–$261,300 / yearThe Role As a Senior Compiler Engineer on the AI Kernels & Compilers team, you will work on the compilation stack that takes high‑level models and turns them into highly optimized inference artifacts running on GMs autonomous and assisted driving platforms. You will work on an evolving state-of-the-art model export and compilation pipeline-from capturing high‑level model graphs, through intermediate representations and compiler transforms, into accelerator‑specific inference engines and their integration with our runtime-so that we can simultaneously optimize compilation throughput, model fidelity, and on‑vehicle latency.
Performance Modeling Software Engineer, Platform Architecture Apple IncPerformance Modeling Software Engineer, Platform ArchitectureAustin, TXAppreciate the good parts of C++, and leveraging the language to maximize the utility of our software models Develop APIs that can be used by non-expert C++ developers Train AI agents and non-expert C++ developers on idiomatic code and methods Help ensure our codebase is structured for effective use with AI-assisted development tools Write clear, self-documenting code with consistent conventions, meaningful naming, and well-organized modules Learn about the state of the art in SoC IP and chip-level architecture Work on data analysis pipelines, visualization methodologies, continuous regression testing Run performance simulations Careful analysis and presentation of simulation resultsBachelors degree Experience in hardware architecture and design issues Experience coding in C++ and Python Experience with computer architecture and software engineering principles Experience with data structures and algorithmsMS or PhD in CS, EE or related field 10+ years of relevant experience Experience with multi-paradigm software development in C++ Experience with multi-language programming environments, and selecting the right tool or language for the job Experience with compiler explorer and understanding the transformations the compiler is performing on your code Experience thinking about code as something that will be read by both humans and machines, and instituting conventions, structure, and documentation that make a codebase tractable for AI-assisted reasoning and navigation Experience with architectural, micro-architectural performance modeling. The end goal is to provide the best customer experience in the world by enabling all the CPUs, GPUs, Machine Learning, Camera, Display, and Connectivity components on our chips to work seamlessly together.
Algorithm Systems Engineer II RTX CorpAlgorithm Systems Engineer IIPlano, TXTypically requires at least a Bachelors degree in Science, Technology, Engineering or Mathematics (STEM) discipline and a minimum of 2 years of relevant experience in one or more of the following areas: Signal Processing Algorithms or Models, Image Processing Algorithms or Models, Detection Theory or Machine Learning. Knowledge developing and implementing signal processing algorithms for airborne surveillance applications, including signal and image processing, physics-constrained modeling, digital communications, or detection and estimation theory.
NewSoftware Engineer, Apple Ads Apple IncSoftware Engineer, Apple AdsAustin, TXStay current with advances in search, retrieval, distributed systems, ML/AI, and cloud infrastructure, and contribute ideas that improve the platform.3+ years of industry experience architecting and developing internet-scale server software for Linux systems, including scalable micro-services or data-driven platforms. You will architect and build low-latency, high-availability, high-throughput ad-serving systems in a cloud environment, engineer secure and scalable data processing pipelines that operate on petabyte-scale datasets, and implement performant services that handle very high data volumes and QPS.