Machining engineer jobs in Austin, TX

Our client is an Austin, Texas based early-stage robotics start-up building rugged, scalable robots; they are fully funded from top-tier venture firms. This is a fully on-site role based in Austin, Texas; some assistance may be available for successful candidates relocating within the United States. You will need to be an expert in Robotics design to apply for this vacancy - 3 years+. Role Description: As a Mechanical Engineer, you will own mechanical systems as well as their integration into larger assemblies - many of which are subject to high-temperature, corrosive, and/or water-heavy environments; and some of which are inherently electro-mechanical systems. You will be seeing projects through the full product lifecycle, and will be heavily involved with each step. You will build, design, engineer, lead, and test. You'll take systems from concept to production and see them deployed in the field. You'll work closely with the team, own your work end-to-end, and make real decisions that shape the product. They expect you to take initiative, speak up, and care about the details. You'll have a lot of autonomy, and with that, the responsibility to make high-impact decisions. They are looking for engineers who want to own what they build and why they're building it. KEY RESPONSIBILITIES: Own complex systems and see them through all levels of product maturity Design innovative solutions given system requirements, producing 3D CAD and proof-of-concepts Drive concept validation and critical learnings through rapid iteration; jerry-rigging test platforms when its faster Conduct analysis to ensure designs satisfy strength, reliability, and assembly requirements Lead and participate in design reviews and issue triages, ensuring buy-in from cross-disciplinary engineers Generate assembly layouts and detailed engineering drawings using GD&T concepts Work with suppliers and manufacturers to ensure parts are well-produced when necessary Develop and execute testing plans; performing root cause analysis on failures in development and deployment Design and build jigs, test fixtures, and tools when required Assemble systems to test performance and integration, and to help with robot manufacturing Document design justifications, analysis, test results, and recommendations Communicate directly with users as necessary to determine engineering direction for specific features, and to reduce vagueness of requirements QUALIFICATIONS: Bachelor's degree in an engineering discipline 2+ years of experience in mechanical design and analysis, specifically for complex systems Experience with the full product lifecycle, from design to production and commercialization Proficient in CAD and mechanical/thermal FEA analysis software (such as Solidworks and Ansys) Working knowledge of GD&T PREFERRED QUALIFICATIONS: Bachelor's or Master's degree in Mechanical Engineering 3+ years of professional design and analysis experience for complex robotic systems Proven commercial experience with product development and the full product lifecycle Worked at a high-growth startup Strong entrepreneurial track record being an engineer, founder, or operator at a 0 to 1 startup, able and prepared to support scaling across all aspects of engineering, operations, and business Expert knowledge of GD&T ADDITIONAL REQUIREMENTS: Willing to work long hours, especially when necessary for critical milestones Hands-on in design, assembly, testing, and in-field deployments Open to providing mechanical engineering guidance to other team members when needed Eager to implement best practices, and fast to communicate needs and desired process changes Willing to provide feedback to management and team early and often Work Environment: Austin, Texas In-Person Monday - Friday/Saturday (5/6 days a week) 40-60+ hours a week Compensation and Benefits: $90,000-$150,000+ (Depending on experience) 0.5%-1.5% Equity Healthcare (Medical, Dental, Vision) Unlimited PTO Relocation Support Offered Free meals, swag, and more!

About Tuopu: Tuopu is a technology-leading automobile parts company committed to innovative manufacturing capability in power chassis systems, interior and exterior systems, and intelligent driving control. Founded in 1983, Tuopu has maintained a strong commitment to excellent quality and service. Job Description: Tuopu USA, LLC is looking for a bilingual (English/Mandarin) Equipment Engineer to join our team in Austin, TX. This is a great opportunity for someone who is early in their career and eager to grow. The ideal candidate has a basic understanding of PLCs and industrial equipment and is motivated to learn and support production operations. Key Responsibilities: Assist with troubleshooting and maintaining production equipment. Support PLC and automation systems under the guidance of senior engineers. Help monitor and record equipment performance and report issues. Follow preventive maintenance schedules and document work completed. Work with production and maintenance teams to support daily operations. Translate technical information or assist communication between English- and Mandarin-speaking team members as needed. Qualifications: Basic knowledge of PLCs or industrial automation (school or hands-on experience). Familiarity with robotic platforms such as ABB, Fanuc, and Yaskawa is highly desirable. Bilingual in English and Mandarin (required). Strong attention to detail and willingness to learn. Good communication and teamwork skills. Technical diploma, trade school certification, or equivalent experience. Willingness to work flexible shifts and overtime as required. What We Offer: 401(k) Health insurance Paid time off Schedule: 8am-5pm + overtime (schedule may change based on business needs) Monday to Friday Overtime as needed Tuopu USA, LLC is an equal opportunity employer committed to diversity and inclusion in the workplace. We encourage individuals from all backgrounds to apply. Job Type: Full-time Work Location: In person

This is an onsite role, 5 days a week. Competitive compensation and benefits. Sponsorship is not available for this role. The Senior Cybersecurity Engineer will act as the primary architect of our organization's digital defense, bridging the gap between Enterprise IT, Cloud Development, and Operational Technology (OT). This role is responsible for operationalizing our security strategy, advising our software development pipeline, and advising on the protection of industrial control systems. This role leads the technical implementation of CMMC 2.0 compliance while ensuring our manufacturing and cloud applications remain resilient against modern threats. Responsibilities: Secure Microsoft Azure environments by managing Entra ID (Identity), Defender for Cloud, and Sentinel. Configure and audit conditional access policies and resource grouping Own the roadmap to CMMC Level 2 assessment readiness. Manage the System Security Plan (SSP) and Plan of Action and Milestones (POAMs) specifically for Defense Industrial Base (DIB) requirements Conduct continuous security risk assessments, bridging the gap between technical vulnerabilities (CVSS scores) and business impact Oversee the lifecycle of vulnerability management, from scanning to patch verification, working closely with infrastructure teams to minimize downtime Develop and enforce policies regarding the use of Generative AI tools (LLMs) within the enterprise to prevent data leakage and IP loss Collaborate with development teams to integrate security scanners (SAST/DAST) into the CI/CD pipeline, ensuring Security by Design Translate complex cyber metrics into a "Risk Scorecard" for leadership, highlighting ROI on security investments and current threat levels Champion security awareness training, running phishing simulations and tabletop exercises to build organizational resilience Engage with key stakeholders in the development of contingency plans, business continuity strategies, and disaster recovery efforts, ensuring our organization's resilience Basic Qualifications: Bachelor's degree in computer science, information systems, or related degree Minimum 6 years of technical security experience Minimum 2 years specifically managing cloud security (Azure preferred) Proven experience preparing an organization for CMMC, NIST 800-171, or ISO 27001 audits Qualifications and Experience: Expert knowledge of NIST 800-171, CMMC 2.0, and SOC 2 standards Direct experience securing Microsoft Azure infrastructure Ability to manage risk assessments and threat modeling Skilled in writing technical policies, procedures, and SSPs Experience coordinating third-party audits and external assessments Knowledge of DevSecOps pipelines and OT/Industrial security Ability to work both independently and collaboratively, and handle ambiguity Excellent communication skills and ability to succinctly present recommendations Strong ability to prioritize competing deadlines in a fast-paced environment Adaptability to perform additional duties as business needs evolve We are an Equal Opportunity Employer and consider all qualified applicants for employment without discrimination based on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, ethnicity, genetic background, age, marital status, veteran status, disability, or any other legally protected status. When needed, reasonable accommodation will be made to help individuals with disabilities fulfill essential responsibilities.

Senior Java BE Engineers (Java, Spring Boot, MongoDB) Austin TX On Site - Amazon Web Services (AWS) - Amazon Web Services EKS (AWS EKS) - AWS-EC2Full Stack-Java - Git - GitHub - Grafana - Kafka - MongoDB - Redis - Splunk - Spring - Spring Boot - Spring Web Services - Experience working with a Platform that spans across multiple tenants like Support Communities, Developer Forums, and Education Forums. - Must-Have: 10+ more years with Java - 5+more years with Mongo, and hands on experience with AI tools like [ RooCode and Claude ] - design and development of highly available, distributed and scalable enterprise systems. - SpringBoot, Redis, MongoDB, Kafka, and MicroServices architecture. - AWS deployments, scaling and EKS cluster management - GIT, PR process, CI/CD Pipelines and deployments. - Experience and strong knowledge in developing high throughput, high performance, and zero downtime systems. - Experience in performance tuning of the applications including JVM tuning, memory profiling, deadlocks and heap analysis. - Strong knowledge of customer facing web application development, HTTP specs, Load- balancing and understanding of CDN. - Experience with Java test frameworks such as JUnit and test NG and Familiarity with automated testing methodologies and frameworks. - Familiarity with template driven rendering and client and server side MVC architectures - Familiarity with Splunk for investigating or monitoring problems on systems. - Thorough understanding of Software Development Lifecycle, tools and agile methodologies. - Sharp troubleshooting skills and real world systems deployment experience.

Title: Sr. Project Engineer - Metals Responsible Manager: Team Manager - Project Engineering Hybrid We, EOS - world market leader for industrial 3D printing, are looking for you to support our Additive Minds Team as a Sr. Project Engineer - Metals. This role will support and execute internal and external engineering projects to maximize impact and drive the adoption of additive manufacturing. Your Mission •Lead and manage engineering projects related to metal additive manufacturing process chain, to ensure timely delivery, adherence to scope, and budget compliance. •Advise customers from both technical and economic perspectives to deliver the optimal engineering solution within a comprehensive production strategy. •Collaborate with cross-functional teams, including service, sales, and product and software development to innovate EOS products and processes. •Provide technical support to internal teams and external customers, including troubleshooting and problem-solving for EOS' systems and processes. •Conduct benchmarking and feasibility studies to evaluate new materials, hardware features, and processes for metal additive manufacturing. •Actively drive knowledge management through proper documentation and internal knowledge transfer. •Stay updated with the latest advancements in metal additive manufacturing and contribute to continuous improvement initiatives. •Identify clients requiring additional support and coordinate assistance through Additive Minds services and consulting projects. •Prepare build files and operate EOS metal machines. •Participate in thought leadership initiatives, such as writing whitepapers, publishing technical articles, delivering presentations, and representing the company at trade shows. Your Talents •Master's or bachelor's degree in aerospace, mechanical, manufacturing, industrial engineering, or related field. •Project management experience •At least 4 years of experience in laser powder bed additive manufacturing technologies. • A strong background in Additive Manufacturing applications, including build layout design, part orientation, support strategies, and post-processing techniques. • Experience with EOS metal platforms is preferred. • Experience with root cause analysis and documentation • Background in engineering or support roles within metal material manufacturing techniques. • Proficiency in software such as Magics, Netfabb (or similar), SolidWorks, and MS Office. • Strong written and verbal communication skills in English. • Willingness to travel for business purposes Our Vision Over 1000 sharp minds, about 60 nationalities, one goal: accelerating the world's transition to Responsible Manufacturing. Our proven technology, industrial 3D printing, has been extending the boundaries of manufacturing for over 30 years. We work globally networked and prefer to think outside the box and we're looking for people who want to shape the future with us. EOS welcomes individuals from all backgrounds, ensuring equal opportunities without regard to race, color, religion, national origin, gender identity, expression, sexual orientation, age, or disability. At EOS, equity and inclusion are fundamental principles, and we believe in creating a work environment that is built on empathy, respect, and fairness.

At Apple we believe our products begin with our people. By hiring a diverse team, we drive creative thought. By giving that team everything they need, we drive innovation. By hiring incredible engineers, we drive precision. And through our collaborative process, we build memorable experiences for our customers! These elements come together to make Apple an amazing environment for motivated people to do the greatest work of their lives. You will become part of a hands-on development team that sets the standard in cultivating excellence, creativity and innovation. Come help us design the next generation of revolutionary Apple products. We are looking for a forward-thinking and unusually talented engineer. As a member of our dynamic group, you will have the rare and rewarding opportunity to craft and implement methodologies and solutions with a high impact on upcoming products that will delight and inspire millions of Apple's customers every single day. In this role, you will be directly involved in our SoC design machine learning efforts, collaborating right alongside our internal multi-functional teams, and using your expertise in machine learning to improve productivity and optimizations across several SoC design related functions spanning from design to validation. * As a member of the SoC design machine learning team, you will be part of a dynamic team that is building the most efficient application processors on the planet, powering the next generation of Apple products. - Your expertise in machine learning will be instrumental in optimizing for efficiency, quality and speed for our chip-design process. - You'll play a crucial role in developing generative AI and machine learning solutions for optimizations in RTL Design, Verification, and Power/Performance/Area efforts. - You will collaborate closely with our internal multi-functional teams as well as the AIML organization at Apple to understand domain-specific needs and tailor machine learning solutions to these domains. - As part of this role, you will keep abreast of emerging technologies in machine learning and chip design to ensure our solutions remain state-of-the-art. - Prior leadership experience a plus. Practical experience and knowledge of generative AI and modern machine learning methods. Experience with any of the following: RAG systems including embedding models, retrieval strategies, and context optimization techniques. Generative AI pipeline development. AI evaluation and testing proficiency including designing test suites and implementing human evaluation frameworks. Experience with AI coding assistants. Experience with AI infrastructure protocols such as MCP. Experience with Deep neural networks and reinforcement learning is a plus Solid math background and understanding of algorithms and data structures Experience with current deep learning frameworks, such as PyTorch, TensorFlow, JAX or MLX Experience with hardware description languages like Verilog, SystemVerilog or VHDL. Experience with Chip design and verification front end flows is a plus: Working verification experience with UVM testbenches. Working experience with front-end tools such as Static timing analysis and CDC/RDC. Strong communication and collaboration skills, with the ability to work efficiently in cross-functional teams Master's or PhD with relevant publications preferred but not required. Minimum of BS + 10 years relevant industry experience.

About us Mythic is building the future of AI computing with breakthrough analog technology that delivers 100× the performance of traditional digital systems at the same power and cost. This unlocks bigger, more capable models and faster, more responsive applications-whether in edge devices like drones, robotics, and sensors, or in cloud and data center environments. Our technology powers everything from large language models and CNNs to advanced signal processing, and is engineered to operate from -40 °C to +125 °C, making it ideal for industrial, automotive, aerospace, and defense.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. About the role Join us in building the next generation of AI compilers. You'll play a key role in developing the compiler for our novel AI accelerator, working side-by-side with hardware engineers and ML researchers. Your work will shape how deep learning workloads run on cutting-edge dataflow hardware-defining the instruction set, execution model, and developer experience. The result: a compiler that delivers breakthrough performance while remaining seamless and intuitive for ML developers.Here's what you will do Contribute across the full compiler stack, including operator lowering, graph/IR transformations, optimization passes, and backend code generation Optimize for dataflow architectures, developing pipelined schedules, memory orchestration, and resource-constrained execution strategies Collaborate with hardware architects to influence architectural features, ensuring the compiler and hardware evolve together Develop compilation strategies that unify our analog compute with digital subsystems Build and maintain a compiler that produces high-performance binaries with strong debugging support, clear error messages, and predictable performance models Here's the background we hope you will have 3+ years of experience building compilers or high-performance systems software, especially those involving complex resource management or optimization. Expert in modern C++ (C++14/17/20) and strong Python. Experience with compiler IRs (SSA-based or graph-based), transformations, and code generation Exposure to specialized accelerators (GPU, NPU, FPGA, or custom ASIC) or parallel architectures The following would be nice to have, but is not required Experience with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with contributions to MLIR or LLVM projects a plus Experience with optimization methods (LP/MIP, CP, SAT/SMT) using solvers like Gurobi or OR-Tools for scheduling and resource allocation Experience compiling for specialized accelerators (GPU, NPU, FPGA, or custom ASIC) on DNN workloads; GPU/DSP experience is valuable if combined with compiler backend work beyond kernel tuning Familiarity with heterogeneous compilation, especially mixing custom accelerators with CPUs/GPUs/NPUs, and exposure to analog or in-memory compute is a plus Experience collaborating in compiler-hardware co-design (architecture + ISA) for better compiler usability and hardware efficiency What we offer The opportunity to shape how deep learning and LLM workloads are compiled on novel hardware. A role that spans software and hardware co-design, shaping both the compiler and the accelerator architecture A collaborative, innovative team that values engineering rigor, continuous integration, and user-focused design. We foster an environment of shared learning and technical excellence Competitive compensation, equity, and benefits package At Mythic, we foster a collaborative and respectful environment where people can do their best work. We hire smart, capable individuals, provide the tools and support they need, and trust them to deliver. Our team brings a wide range of experiences and perspectives, which we see as a strength in solving hard problems together. We value professionalism, creativity, and integrity, and strive to make Mythic a place where every employee feels they belong and can contribute meaningfully.

We're seeking an experienced ML Engineer with a strong background in computer vision and time-series modeling. You're skilled at every stage of the ML lifecycle-from defining problems and exploring data, to developing, deploying, and iterating on models. You adeptly balance rigorous modeling with practical software engineering, integrating ML solutions seamlessly into production systems. You understand the nuances between offline metrics and real-world performance, translating complex, abstract problems into actionable ML strategies. You thrive in ambiguous, fast-paced environments, approaching challenges with curiosity and analytical rigor. Complex, unsolved problems, particularly those involving visual data and behavioral analysis, motivate you. You're passionate about making tangible impacts by taking ownership of projects from initial prototype through production deployment. About Us Senseye is a NeuroTechnology Company in Austin, TX on the cusp of revolutionizing Mental Health. Over the past 6 years we have invested millions of dollars in R&D to build our platform allowing us to measure cognitive activity via the eye through mobile phones. Through multiple iterations and use cases we are now focused on building the world's first objective mental health diagnostic on top of our core technology. Our first diagnostic is for PTSD and is entering clinical trials now, followed soon by additional indications for Anxiety and Depression. As the world struggles with a mental health crisis, it is not hyperbolic to suggest that an objective diagnostic platform, that gives clinicians a safe and objective accurate approach to identifying and monitoring mental health disease, will redefine how mental health services are provided, and will enable access to treatment for millions of sufferers. The Senseye platform has the potential to be the technology that drives this change. This is a great opportunity to shape the future of digital medicine and address unmet medical needs that affect billions of people worldwide. Requirements Design, develop, and deploy ML models focused on computer vision and time-series analysis (e.g., semantic segmentation, point-of-gaze tracking, keypoint detection, photoplethysmography, MAMBA, dilated 1D CNNs, sparse attention transformers). Select optimal architectures and training methods that align with constraints around data collection, annotation quality, timelines, and budgets, such as incorporating semi-supervised and few-shot techniques when applicable. Develop and maintain robust, production-grade ML services supporting critical user workflows. Monitor production model performance, establishing evaluation frameworks that accurately reflect real-world use. Conduct comprehensive exploratory data analyses to guide problem scoping, feature engineering, and model selection. Collaborate closely with platform and infrastructure teams to optimize ML tooling and data pipelines. Translate ambiguous business needs into structured ML problems and actionable technical roadmaps. Identify new data signals, design experiments, and iteratively refine models to maximize user impact. Review, contribute, and maintain high-quality, testable, and well-documented ML pipelines. Lead technical discussions and clearly communicate modeling strategies and outcomes to internal stakeholders. Stay informed on emerging research and tools, integrating them effectively when beneficial. Qualifications 5+ years of applied ML experience, including deploying models to production. Expertise in computer vision and/or time-series modeling, with experience in video or camera-based systems strongly preferred. Strong statistical modeling skills, particularly in extracting signals from noisy datasets. Proficiency in Python and deep learning frameworks (PyTorch, JAX, TensorFlow). Proven track record of translating academic research into scalable, practical ML solutions. Experience with large-scale data systems, MLOps tooling, and model versioning practices. AbilitComfort managing ambiguity and independently driving projects to completion to clearly communicate technical solutions and their business impact to varied audiences. Additional Qualifications Expert-level proficiency in Python and at least one deep learning framework (PyTorch, JAX, etc.). Experience adapting recent research into innovative methods tailored to business needs. Demonstrated creative problem-solving ability, evidenced by patents or novel techniques. Experience managing scientific projects within industry or academia. Excellent written and verbal communication skills, able to bridge technical and non-technical audiences effectively. Extra Points Direct experience with computer vision or camera/video-based systems. Ownership, deployment, and maintenance of model-serving pipelines in production. Expert-level coding skills focused on clarity, efficiency, and maintainability, complemented by rigorous testing practices. Experience with probabilistic modeling or Bayesian approaches. Familiarity with healthcare, SaMD, or regulated industries, including validation and compliance standards. Our Hiring Process Phone screening Testlify Test Two interviews with Senseye manager and peers Final interview with David Zakariaie, Senseye CEO Offer Target timeline: Start interviews as soon as candidates complete Testlify. Aim to make an offer within a month or less. Benefits The freedom and trust to define your role as we design, build, and ship our products Competitive salary and stock option plan Flexible paid time off (vacation, sick leave, and public holidays) Flexible schedules Company health care plan Medical, dental, and vision insurance Short and long term disability insurance Life insurance policy 401k Commuter benefits for parking, public transit, carshares, etc. Mothers' room Fully stocked kitchen Opportunities for continuing education Senseye is dedicated to building a community of employees that are diverse, passionate, and engaged. We are committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, marital status, disability, or veteran status. When we're safe, healthy, and balanced we can accomplish phenomenal things together.

Join SADA as a Senior Machine Learning Engineer Your Mission As a Senior Machine Learning Engineer at SADA, you will work in a fast-paced, highly-skilled team developing state-of-the-art enterprise solutions. You will work collaboratively with architects and other engineers to recommend, prototype, build, and debug machine learning (ML) solutions on Google Cloud Platform (GCP) for SADA's clients. You will work on real-world data problems, designing and implementing cloud-native ML and AI solutions, with a strong focus on Google's Vertex AI platform and related technologies. This is a hands-on role that includes both architecting and implementing ML/AI solutions, from initial requirements gathering through final model deployment, including iterative measurement and improvement. You will be responsible for building and deploying ML solutions using cloud ML pipelines, often collaborating with data scientists and data engineers. This role often involves working with large volumes of structured and unstructured data from multiple sources in multiple modalities, requiring you to design and implement data pipelines to clean and merge data for research and modeling. You will provide subject matter expertise and assistance to SADA's clients and your colleagues on artificial intelligence and machine learning topics, participating in client-facing discussions and assisting with technical pre-sales discussions. As an established contributor, you will develop critical components for ML projects, often working independently with minimal oversight. Machine learning is an extremely dynamic and quick-changing discipline, requiring a passion for continuous learning and a knack for problem-solving. Your approach for learning new technology will be as important as any prior knowledge. While your core focus will be on machine learning and MLOps, the field increasingly intersects with broader artificial intelligence and generative AI concepts. Therefore, familiarity and practical experience with advanced AI topics such as LLM fine-tuning, agentic AI development and multimodal data processing are highly valued and contribute significantly to success in this role. Your day-to-day will consist of the following activities: Implementing machine learning solutions for SADA clients across all project stages, from requirements gathering, discovery, and architecture, to development, testing, and final model deployment, including iterative measurement and improvement Recommending, prototyping, building, and debugging machine learning (ML) infrastructures on Google Cloud Platform (GCP) Working on real-world data problems by developing custom models or using existing Google ML APIs Building and deploying ML solutions using cloud ML pipelines Providing subject matter expertise and assistance to SADA clients and colleagues on machine learning topics Creating technical documentation and leading solution design discussions Assisting with technical pre-sales discussions and the creation of statements of work Expectations Customer-Facing - Daily interactions with customers, including standups or sales meetings; at other times, weekly/bi-weekly as for sprint planning, reviews/retrospectives, or demos. These interactions will be with roles ranging from engineers to key executive stakeholders. Travel - Up to 35% travel to customer sites, conferences, and other related events. Otherwise, this is a remote position and we expect candidates that have demonstrated success working in remote, distributed teams. Job Requirements Required Credentials: Google Professional Machine Learning Certification (within 90 days of hire) Required Qualifications: 4+ years of relevant work experience designing and implementing Machine Learning solutions, preferably in a technical consulting environment Proficiency in Python with extensive experience across data manipulation (e.g., Pandas, Polars, NumPy), scientific computing (e.g., SciPy), and machine learning frameworks (e.g., Scikit-learn, XGBoost, TensorFlow, PyTorch) Strong foundational understanding of machine learning principles and hands-on experience with various model types, including supervised, unsupervised, and deep learning architectures Experience with data exploration, cleaning, and feature engineering from diverse, often messy, datasets to prepare them for modeling. This includes experience processing, cleansing, and verifying data integrity for analysis Familiarity with MLOps practices and tools for model deployment, monitoring, versioning, and pipeline orchestration (e.g., Docker, Kubernetes, Kubeflow, MLflow, Airflow) Solid understanding of the Google Cloud Platform for data storage (e.g., Cloud Storage, BigQuery), compute (e.g., Cloud Run, Google Kubernetes Engine), and ML services, particularly Vertex AI and BigQueryML Experience working with interactive development environments like JupyterLab and Vertex AI Workbench Excellent problem-solving skills with a demonstrated ability to tackle complex, ambiguous challenges across the entire machine learning lifecycle Strong consultative skills, including the ability to translate complex ML concepts into actionable business strategies and solutions, and to communicate complex technical concepts to a broad range of internal and external stakeholders Useful Qualifications: Experience with large language models (LLMs) and generative AI concepts, including fine-tuning, prompt engineering, and integrating AI solutions into applications Experience in specialized domains of machine learning such as natural language processing, computer vision, time-series analysis, recommender systems or reinforcement learning Experience working with other Google Cloud-related data products (Datalab, Dataprep, Cloud Storage, PubSub, Dataflow, Dataproc, etc.) Exposure to model serving frameworks such as LLM and FastAPI and GCP services used for model and API serving such as Cloud Run and GKE About SADA An Insight company Values: SADA stands for inclusion, fairness, and doing the right thing. From our very beginning, we've championed a diverse workplace where we support and learn from each other, amplifying the impact we make with our customers. We're proud that our teams are composed of contributors who represent a wide array of backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer. Our three core values are the foundation of everything we do: Hunger Heart Harmony Work with the Best: SADA has been the largest Google Cloud partner in North America since 2016 and, for the eighth year in a row, has been named a Google Global Partner of the Year . This year, SADA was named a Google Cloud Global Partner of the year 2024. SADA has also been awarded Best Place to Work year after year by the Business Intelligence Group and Inc. Magazine, and was recognized as a Niche Player in the 2023 Gartner Magic Quadrant™ for Public Cloud IT Transformation Services. Benefits: Unlimited PTO, paid parental leave, competitive and attractive compensation, performance-based bonuses, paid holidays, generous medical, dental, vision plans, life, short and long-term disability insurance, 401K/RRSP with match, as well as Google-certified training programs and a professional development stipend. Business Performance: SADA has been named to the INC 5000 Fastest-Growing Private Companies list for the last 10+ years in a row, garnering Honoree status. CRN has also named SADA on the Top 500 Global Solutions Providers list for the past 5 years. The overall culture continues to evolve with engineering at its core: 3200+ projects completed, 4000+ customers served, 10K+ workloads, and 30M+ users migrated to the cloud. To request reasonable accommodation to participate in the job application or interview process, contact ****************. SADA complies with federal and state/provincial disability laws and makes reasonable accommodations for applicants and candidates with disabilities.

As part of the broader Analytics team encompassing data engineering, data visualization, and data science, you will play a key role in advancing our AI-powered analytics capabilities. You'll be responsible for taking proof-of-concept AI solutions and evolving them into scalable, production-ready systems that power business insight and efficiency. This role sits at the intersection of business intelligence, AI agent development, and software engineering, requiring both strong technical expertise and the ability to translate complex business needs into intelligent, automated solutions. As an expert in AI orchestration, you will own projects end-to-end: designing agentic workflows, building retrieval systems, implementing evaluation frameworks, and supporting intuitive user experiences for our internal stakeholders. Responsibilities POSITION RESPONSIBILITIES: * Design and develop agentic workflows using frameworks such as LangChain and LangGraph to automate analytical and decision-making processes. * Architect and maintain the underlying logic for tool calling, memory management, and context-aware reasoning to ensure reliable, scalable agent performance. * Design and develop Retrieval-Augmented Generation (RAG) systems that enrich agent outputs with relevant internal data, managing vector stores, embeddings, and semantic search infrastructure. * Implement evaluation and monitoring frameworks to assess agent reliability, task accuracy, and behavior over time, ensuring quality and consistency in production environments. * Partner cross-functionally with business stakeholders to understand analytical needs, translate them into AI-driven workflows, and ensure alignment with real-world operational goals. * Continuously research and apply emerging best practices in agentic AI, prompt engineering, and LLM frameworks to enhance performance and maintain technical leadership. * Build and maintain intuitive user interfaces that enable non-technical stakeholders to interact seamlessly with AI agents and access insights effortlessly. Qualifications WHAT YOU BRING: * Degree in Statistics, Mathematics, Computer Science, or Information Systems, or equivalent experience * Proven experience building AI agents or workflows using LangChain and LangGraph. * Proven experience deploying AI applications in production (e.g., agent, chatbot, workflow automation, or ML/LLM-powered tool). * Knowledge of orchestration paradigms such as supervisor, hierarchical, and networked agent architectures to coordinate complex task delegation and inter-agent communication. * Demonstrated ability to take ownership of complex problems and drive them to completion independently. * Self-motivated and proactive in identifying challenges and developing solutions without needing step-by-step guidance. * 3+ years of experience in data science, analytics, or applied machine learning. * 3+ years of experience writing and optimizing SQL queries. * 4+ years of experience with Python, including data libraries (e.g., Pandas, NumPy, visualization packages). BusPatrol Value Proposition WHO WE ARE BusPatrol is a technology company with a public safety mission. Through relentless innovation and discovery, we are strengthening trust, safety, and transparency across the student transportation space and making the trip to and from school safer for students. As a leader in smart transportation, BusPatrol brings cutting-edge AI, machine learning and IoT safety tech solutions to school buses across North America. BusPatrol's technology has been deployed onto more buses and has been used to issue more school bus stop arm citations than any other company in the world. WHAT WE OFFER * A competitive salary and benefits package * Comprehensive personal time off, including volunteering and birthday days off * An opportunity to help build a company dedicated to children's safety * The chance to join an innovative and dedicated team, focused on leading edge technology * The occasion to participate in BusPatrol's culture of safety, learning, and teamwork BusPatrol's school bus safety programs are violator-funded, meaning that those who break the law pay for the technology that protects children. We build solid partnerships in the communities in which we operate which, coupled with our innovative business model, leads to sustainable efforts to change driver behaviors. HOW WE WORK On our mission to make the journey to and from school safer for children, the way we work together and with our partners is built on foundational cultural pillars. * SAFETY Safety is our focus, for the children we protect and for each other. We follow the letter and spirit of occupational safety law, relentlessly employ safety best practices, and foster learning and development on our worksites. We are safe to be ourselves and to make mistakes, and we create safe environments for our teams. * CONNECTION We build strong relationships and teams in support of our mission. We promote and provide opportunities for employees to grow together. * EXCELLENCE We commit to innovation and quality work in support of our mission and each other. The children we safeguard are at the forefront of our decisions and actions and we excel on their behalf. * IMPACT We measure success by fulfilling our mission and keeping the company strong. We invest our time and energy in the actions that deliver results for students and for their communities. We are looking for a valued member of the BusPatrol team to assist us in our quest to improve children's safety. This is an important role for us and a great opportunity for the right candidate. Our environment is inclusive, diverse, ignited, built on integrity, and deeply committed. The US salary range for this position is provided in this posting. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your Talent Partner can share more about the specific salary range for your preferred location and skill level during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, and/or commission (if applicable) or benefits. EOE/AA Disability-Veteran Minimum US Base Salary Maximum US Base Salary

As part of the broader Analytics team encompassing data engineering, data visualization, and data science, you will play a key role in advancing our AI-powered analytics capabilities. You'll be responsible for taking proof-of-concept AI solutions and evolving them into scalable, production-ready systems that power business insight and efficiency. This role sits at the intersection of business intelligence, AI agent development, and software engineering, requiring both strong technical expertise and the ability to translate complex business needs into intelligent, automated solutions. As an expert in AI orchestration, you will own projects end-to-end: designing agentic workflows, building retrieval systems, implementing evaluation frameworks, and supporting intuitive user experiences for our internal stakeholders. This role will be in a hybrid capacity in Austin, TX. This role is not eligible for sponsorship. Responsibilities POSITION RESPONSIBILITIES: Design and develop agentic workflows using frameworks such as LangChain and LangGraph to automate analytical and decision-making processes. Architect and maintain the underlying logic for tool calling, memory management, and context-aware reasoning to ensure reliable, scalable agent performance. Design and develop Retrieval-Augmented Generation (RAG) systems that enrich agent outputs with relevant internal data, managing vector stores, embeddings, and semantic search infrastructure. Implement evaluation and monitoring frameworks to assess agent reliability, task accuracy, and behavior over time, ensuring quality and consistency in production environments. Partner cross-functionally with business stakeholders to understand analytical needs, translate them into AI-driven workflows, and ensure alignment with real-world operational goals. Continuously research and apply emerging best practices in agentic AI, prompt engineering, and LLM frameworks to enhance performance and maintain technical leadership. Build and maintain intuitive user interfaces that enable non-technical stakeholders to interact seamlessly with AI agents and access insights effortlessly. Qualifications WHAT YOU BRING: Degree in Statistics, Mathematics, Computer Science, or Information Systems, or equivalent experience Proven experience building AI agents or workflows using LangChain and LangGraph. Proven experience deploying AI applications in production (e.g., agent, chatbot, workflow automation, or ML/LLM-powered tool). Knowledge of orchestration paradigms such as supervisor, hierarchical, and networked agent architectures to coordinate complex task delegation and inter-agent communication. Demonstrated ability to take ownership of complex problems and drive them to completion independently. Self-motivated and proactive in identifying challenges and developing solutions without needing step-by-step guidance. 3+ years of experience in data science, analytics, or applied machine learning. 3+ years of experience writing and optimizing SQL queries. 4+ years of experience with Python, including data libraries (e.g., Pandas, NumPy, visualization packages). BusPatrol Value Proposition WHO WE ARE BusPatrol is a technology company with a public safety mission. Through relentless innovation and discovery, we are strengthening trust, safety, and transparency across the student transportation space and making the trip to and from school safer for students. As a leader in smart transportation, BusPatrol brings cutting-edge AI, machine learning and IoT safety tech solutions to school buses across North America. BusPatrol's technology has been deployed onto more buses and has been used to issue more school bus stop arm citations than any other company in the world. WHAT WE OFFER A competitive salary and benefits package Comprehensive personal time off, including volunteering and birthday days off An opportunity to help build a company dedicated to children's safety The chance to join an innovative and dedicated team, focused on leading edge technology The occasion to participate in BusPatrol's culture of safety, learning, and teamwork BusPatrol's school bus safety programs are violator-funded, meaning that those who break the law pay for the technology that protects children. We build solid partnerships in the communities in which we operate which, coupled with our innovative business model, leads to sustainable efforts to change driver behaviors. HOW WE WORK On our mission to make the journey to and from school safer for children, the way we work together and with our partners is built on foundational cultural pillars. SAFETY Safety is our focus, for the children we protect and for each other. We follow the letter and spirit of occupational safety law, relentlessly employ safety best practices, and foster learning and development on our worksites. We are safe to be ourselves and to make mistakes, and we create safe environments for our teams. CONNECTION We build strong relationships and teams in support of our mission. We promote and provide opportunities for employees to grow together. EXCELLENCE We commit to innovation and quality work in support of our mission and each other. The children we safeguard are at the forefront of our decisions and actions and we excel on their behalf. IMPACT We measure success by fulfilling our mission and keeping the company strong. We invest our time and energy in the actions that deliver results for students and for their communities. We are looking for a valued member of the BusPatrol team to assist us in our quest to improve children's safety. This is an important role for us and a great opportunity for the right candidate. Our environment is inclusive, diverse, ignited, built on integrity, and deeply committed. The US salary range for this position is provided in this posting. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your Talent Partner can share more about the specific salary range for your preferred location and skill level during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, and/or commission (if applicable) or benefits. EOE/AA Disability-Veteran

About Us: web AI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. We recognize the evolving demands of a data-driven society for scalability and flexibility, and we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation. Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models. We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises with AI that understands their unique business. We are a team driven by truth, ownership, tenacity, and humility, and we seek individuals who resonate with these core values and are passionate about shaping the next generation of AI. About the Role: We are seeking an Senior Machine Learning Engineer to support our Public Sector initiatives focused on building and optimizing production ready AI systems for secure and distributed environments. This role sits at the intersection of machine learning, systems engineering, and deployment optimization, bridging research and real world implementation. You will be responsible for transforming prototype models into scalable, efficient, and reliable production systems that operate seamlessly across a spectrum of hardware from government cloud infrastructure to edge devices in restricted or disconnected environments. Responsibilities: * Productionize AI models from research prototypes into scalable, deployable systems used in real world applications. * Develop, fine tune, and optimize models using PyTorch, TensorFlow, or Hugging Face Transformers, adapting both open and closed source models. * Implement model optimization techniques such as quantization, pruning, distillation, and hardware specific acceleration. * Engineer systems for dynamic model adaptation using low rank adaptation (LoRA), parameter efficient fine tuning (PEFT), and on device inference strategies. * Build and maintain Retrieval Augmented Generation (RAG) pipelines, including vector database integration for contextual retrieval. * Work with multi modal AI systems across computer vision, audio, and natural language domains. * Employ synthetic data generation and digital twinning techniques (GANs, diffusion models, or simulation based) to create robust datasets for edge cases. * Develop GPU accelerated and low level system code in C, C++, or Rust for performance critical operations. * Optimize model execution for distributed and resource constrained environments, ensuring reliability under variable connectivity conditions. * Collaborate cross functionally with Infrastructure, MLOps, and Security teams to deliver secure, compliant, and high performance AI solutions for government partners. Qualifications: * Active US Security clearance or eligibility and willingness to obtain a US Security clearance * 5+ years of experience in applied AI, ML engineering, or production AI systems. * Deep proficiency in PyTorch, TensorFlow, or Hugging Face Transformers. * Proven experience deploying AI models across cloud, edge, and mobile hardware environments. * Expertise in model compression and optimization (quantization, pruning, distillation). * Strong understanding of GPU computing, CUDA, and performance profiling. * Experience building RAG pipelines and integrating vector databases (e.g., FAISS, Milvus, Pinecone). * Familiarity with multi modal models and synthetic data generation methods. * Low level programming experience in C, C++, or Rust with understanding of computer memory and concurrency. * Strong algorithmic and problem solving skills, especially in distributed or constrained compute environments. Preferred Skills * Experience with edge AI, federated learning, or offline inference systems. * Familiarity with distributed training frameworks such as DeepSpeed or Ray. * Understanding of AI governance and compliance frameworks relevant to public sector deployments. * Experience integrating models into large scale distributed systems or microservice architectures. * Excellent communication and technical documentation skills for collaboration across multi disciplinary teams. We at web AI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following: * Truth - Emphasizing transparency and honesty in every interaction and decision. * Ownership - Taking full responsibility for one's actions and decisions, demonstrating commitment to the success of our clients. * Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement. * Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others. Benefits: * Competitive salary and performance-based incentives. * Comprehensive health, dental, and vision benefits package. * 401k Match (US-based only) * $200/mos Health and Wellness Stipend * $400/year Continuing Education Credit * $500/year Function Health subscription (US-based only) * Free parking, for in-office employees * Unlimited Approved PTO * Parental Leave for Eligible Employees * Supplemental Life Insurance web AI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of web AI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

Job Description At Shipwell, we empower supply chain efficiency and service effectiveness at scale. The Shipwell platform includes capabilities previously out of most shippers' technical reach and affordability today. Our solution combines everything shippers need, from transportation management and visibility to procurement, in a comprehensive, easy-to-use platform. It will adapt and scale as market and business demand change, allowing shippers to operate, manage, and optimize the shipping process seamlessly. Industry experts have recognized Shipwell's traction in the market and have differentiated Shipwell as a leader in the logistics industry. Awards include Gartner Magic Quadrant for TMS 2025, 2024, 2023, 2022, 2021, Food Logistics' 2024 Top Software & Technology Providers, and FreightWaves' FreightTech 2022 and 2021 Awards for Innovation and Disruption in Freight Industry. Shipwell was also named the fourth fastest-growing company in North America on the 2021, 2022, and 2023 Deloitte Technology Fast 500 and Forbes 2020 Next Billion-Dollar Startup. Our Culture Shipwell is a fast-paced, high-energy start-up that strives to build the future of shipping every day. Diversity of thought and cross-department collaboration is very important to us. We deliver open, honest, careful communication and work as hard as we play. We create & deliver solutions that are revolutionizing the industry, which brings excitement and purpose to our work. If you are looking for a place that will help you tap into your best work-self and give you hands-on experience building something big, then we invite you to come and build the future of shipping with us! About the Role As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building and scaling our AI-powered logistics solutions. You'll design, develop, and maintain the data pipelines and ML infrastructure that power our autonomous digital workers and drive data-driven decision-making across the organization. Your work will span the full machine learning lifecycle-from extracting and transforming data from diverse sources to implementing production-grade ML models in our cloud environment. You'll optimize our AWS infrastructure, establish data integrity standards, and create scalable architectures that enable research teams to access the data they need. Working closely with engineering, analytics, data science, and product teams, you'll take our machine learning capabilities to the next level. This is a dynamic opportunity to become the expert on Shipwell's ML and data infrastructure, make critical technical decisions, and contribute to projects at the forefront of GenAI and machine learning in the logistics industry. You'll own the processes you create and have the opportunity to grow your skills while revolutionizing how the supply chain operates. What we're looking for: Experience designing and implementing ML models and maintaining relevant data in AWS Experience working with DevOps to enable your team access to the tools they need Contributing to every part of the machine learning product lifecycle Proven track record of implementing data engineering best practices in all aspects of the data pipeline, i.e. ETL, data integrity, and monitoring Demonstrable proficiency with Python, dbt, SQL, and modern ML tooling Experience working with large-scale data model refactoring for better performance, interpretability, and maintainability Experience with version control tools (GitHub, GitLab) and Agile methodologies. Experience with agentic tooling and pipelines including LangChain, LangGraph, and LangSmith Bachelor's Degree in a quantitative field such as Physics, Engineering, Computer Science, or demonstrated equivalent quantitative experience. Excellent communication skills to effectively collaborate with different teams within the engineering org What you'll do when you get here: Collaborate closely with our engineering, analytics, data science, and product teams as we take our machine learning projects and infrastructure to the next level Right at the start you will be contributing to existing ML projects, creating and maintaining the data pipelines they need, and communicate the results to the organization You will own all of the data and ML processes you create You will become the expert on our machine learning and data infrastructure and make critical decisions in our path forward You will have the opportunity to grow your skill set and take part in projects at the forefront of GenAI, ML, and data science in the logistics industry Why Shipwell: Enjoy working remotely with the added perk of a home office reimbursement Unlimited Paid Time Off (PTO) A robust healthcare package that includes medical, dental & vision benefits, short-term and long-term disability, AD&D coverage, and flexible/health savings accounts 401K program where Shipwell matches up to 4% All employees receive stock options A yearly learning and development budget Subsidized internet, cell phone, fitness, and educational reimbursements Virtual team-building events where fun and connection take center stage Join a vibrant, inclusive workplace shaped by friendly, talented individuals Receive a technology package, including a MacBook Pro Employee Recognition Program to celebrate and incentivize hard work and success! The Salary Range for this role is between $130-$163K per year with bonus upside. Compensation is based on several factors, including market location, job-related knowledge, skills, and experience. Shipwell is an equal opportunity employer and welcomes all qualified applicants regardless of race, ethnicity, religion, gender, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristic protected by law. We celebrate diversity and believe that experience comes in different forms. Diversity in our team makes for better problem-solving, more creative thinking, and ultimately, a better product and company culture. Even more important than your resume is a clear demonstration of impact, dedication, and the ability to thrive in a fast-paced and collaborative environment. Shipwell strives to have an inclusive work environment; so if you are hard-working & good at what you do, then please come as you are. We want you to contribute, grow, & learn at Shipwell. We are looking forward to adding new perspectives to our team! Shipwell employees will only ever email you about this position from *************** email address. For more information about Shipwell visit shipwell.com, or connect with us on Twitter @shipwell, LinkedIn, and Facebook.com/Shipwellinc

Apptronik is building robots for the real world to improve human quality of life and to help solve the ever-increasing labor shortage problem. Our team has been building some of the most advanced robots on the planet for years, dating back to the DARPA Robotics Challenge. We apply our expertise across the full robotics stack to some of the most important and impactful problems our society faces, and expect our products and technology to change the world for the better. We value passion, creativity, and collaboration to help us overcome existing technological barriers in the industry to create truly innovative products. You will join a team developing state-of-the-art general-purpose robots designed to operate in human spaces and with human tools. It is designed to work alongside humans, mobilize to human spaces, and manipulate the world around it. JOB SUMMARY We're looking for highly motivated and talented Mechanical Engineer with hands-on experience and a passion for robotics to join our team. This person should have proven capabilities in robot chassis design - structures, electromechanical packaging, and joint/mechanism design. ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES Collaborate with a small cross-disciplinary team of engineers Participate in creative brainstorming for concept generation Conduct engineering analysis to drive design decisions Compare concepts via iterative design, prototype, assembly, and test Detailed design of structures, joints, mechanisms, and actuators Perform analysis (FEA, etc.) to optimize and validate design Create GD&T-informed drawings, a Bill of Material, and procurement documentation Produce assembly instructions and finalize project documentation Participate in pilot build of your design SKILLS AND REQUIREMENTS Mastery of engineering fundamentals / first principles High proficiency in CAD (SolidWorks, Creo, or similar) Exceptional attention to detail Excellent teamwork and collaboration Outstanding organizational and time management skills The ability to multi-task and manage conflicting deadlines Strong written and verbal communication Great team player able to perform within a dynamic start-up environment Knowledge of Robotics, joint/mechanisms, kinematics, and electromechanical packaging optimization EDUCATION and/or EXPERIENCE Bachelor's degree (or equivalent) in Mechanical Engineering or related field 12+ years of experience in development of robot systems or similar PHYSICAL REQUIREMENTS Prolonged periods of sitting at a desk and working on a computer Must be able to lift 15 pounds at times Vision to read printed materials and a computer screen Hearing and speech to communicate *This is a direct hire. Please, no outside Agency solicitations. Apptronik provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to 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.

We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world. Team Description: At Neuralink, we're engineering the future of automated surgeries, focusing on the safe and effective implantation of our groundbreaking Neuralink implant. Our team - a cross-functional mix of roboticists, engineers from various disciplines, and medical professionals - collaborates on developing a surgical flow from first principles. In this critical role, you'll straddle the cutting-edge worlds of robotics, software, and neuroscience. Job Description and Responsibilities: This is a new and foundational role for our team that will allow you to create new embedded systems from scratch while challenging and refining the old. As a Firmware Engineer, your responsibilities will encompass: Developing and optimizing embedded software for robotic surgery applications Streamlining our codebase by refining and, when necessary, retiring legacy embedded software Rigorous testing and validation of software systems to meet the highest safety and reliability standards Participating in peer code reviews Writing drivers and applications to extend the functionality of our robotics Specifying hardware and software choices as we develop future hardware platforms Sharing your findings and progress with the team in a collaborative environment Required Qualifications: Demonstrated track record of success in a science or engineering field, evidenced by outstanding projects, innovations, or advanced problem-solving Proven experience in software development, preferably with exposure to embedded systems Preferred Qualifications: Embedded Software Development: 2+ years of experience with embedded systems Proficient with common communication protocols (SPI, UART, I2C, etc.) Comfortable/working knowledge of more advanced protocols such as PCIe, MIPI CSI/DSI, USB, and 802.3 Proficient in at least one embedded language such as C, C++, or Rust Proficient with embedded toolchains and workflow Experience building and bringing-up MCUs or FPGAs Experience with embedded stacks for ARM cores Experience developing on embedded Linux platforms Experience with embedded Linux kernel configuration and device tree setup Experience with kernel driver development Experience with ARM bootloaders Experience coding drivers for actuators and sensors Experience with high speed data acquisition and processing Electrical Engineering: Foundational understanding of MCU architectures and peripheral integration Solid knowledge in electrical engineering and DSP Ability to interpret electrical schematics and datasheets, along with proficiency in using lab equipment Expected Compensation: The anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training. We also believe in aligning our employees' success with the company's long-term growth. As such, in addition to base salary, Neuralink offers equity compensation (in the form of Restricted Stock Units (RSU)) for all full-time employees. Base Salary Range:$138,000-$300,000 USD What We Offer: Full-time employees are eligible for the following benefits listed below. An opportunity to change the world and work with some of the smartest and most talented experts from different fields Growth potential; we rapidly advance team members who have an outsized impact Excellent medical, dental, and vision insurance through a PPO plan Paid holidays Commuter benefits Meals provided Equity (RSUs) *Temporary Employees & Interns excluded 401(k) plan *Interns initially excluded until they work 1,000 hours Parental leave *Temporary Employees & Interns excluded Flexible time off *Temporary Employees & Interns excluded

Job Description Lead Robotics Engineer - Own the Autonomy Stack for Next-Gen Tactical Robotics! Austin, TX | Onsite A pre-seed, well-funded startup is building autonomous ground robotic systems designed to counter emerging drone and aerial threats for national security applications. With an active prototype already in place, a brand-new lab, and regular field testing, the team is moving quickly from concept to operational capability. As the Lead Robotics Engineer, you will partner directly with the CTO to own development of the full autonomy stack. This role spans firmware, perception, control systems, and sensor integration, giving you broad technical ownership and the opportunity to see your work tested in real-world conditions. You'll help shape the system architecture, define product direction, and play a pivotal role in turning advanced robotics into deployed counter-UAS capabilities. About Us We are a fast-moving robotics startup focused on counter-drone (C-UAS) solutions for defense and national security. Our leadership team brings deep expertise in robotics, autonomy, and defense technology, with proven track records of delivering innovative systems in high-stakes environments. Backed by strong financial support, we operate with urgency, leveraging an active prototype, new lab facilities, and frequent field campaigns to iterate rapidly and validate performance. Job Duties Design and bring up robotic systems from the ground up, including embedded integration, driver development, and sensor selection. Write and optimize firmware in C++ or Rust for real-time operating systems managing motion, communications, and sensors. Develop and tune control algorithms such as PID or model-predictive controllers for electromechanical actuation. Calibrate and integrate IMUs, cameras, and encoders to support visual-inertial state estimation. Apply sensor fusion techniques (e.g., EKF, UKF) for robust real-time tracking and stabilization. Build Python-based tools for logging, visualization, calibration, and automation. Lead rapid test cycles in lab and field environments to validate control and perception systems. Debug issues across embedded software, hardware, and mechanical subsystems. Architect scalable and reliable frameworks for real-time robotics platforms. Collaborate with teammates across computer vision, autonomy, AI/ML, and hardware engineering. Qualifications 5+ years of experience developing robotic platforms, embedded systems, or real-time control software. Proficiency in C++ (modern standards) and Python. Strong foundation in PID control, sensor feedback systems, and electromechanical actuation. Experience with embedded development on RTOS platforms (e.g., NVIDIA Jetson or equivalent). Hands-on experience with sensor calibration, data fusion, and system-level debugging. Familiarity with communication protocols such as CAN bus, UART, and other real-time interfaces. Skilled at low-level debugging using oscilloscopes, logic analyzers, or similar tools. Proven ability to troubleshoot and innovate in fast-paced, resource-constrained environments. Preferred Experience Rust for embedded platforms. Experience with ROS2, DDS, or other real-time middleware. Exposure to adaptive or model-predictive control techniques. Familiarity with GPU programming (CUDA) or parallel compute frameworks. PCB design knowledge or experience working within EMI/EMC constraints. Understanding of distributed systems, networking, or DevOps workflows (Docker, CI/CD). Knowledge of machine learning frameworks (PyTorch, TensorFlow) or advanced scientific computing. Why Join Us Play a founding-team role with significant ownership and visibility. Work side-by-side with the CTO to shape core architecture and direction. Full-stack robotics ownership across firmware, control, perception, and tools. Mission-driven focus on solving urgent defense challenges in counter-UAS systems. Active prototypes, frequent field testing, and a brand-new robotics lab. Hardware-first culture with rapid iteration and real-world validation. Competitive salary plus early equity. Relocation support available. Compensation Details $150,000 - $210,000

The role of Machine Learning Physical Design Engineer at Apple offers an exciting opportunity for innovation and impact within the dynamic ML PD (Machine Learning Physical Design) group. With a minimum of a Bachelor's degree and over 10 years of relevant industry experience, you will be part of a team focused on creating the most efficient application processors for Apple's next-generation products. Your responsibilities will include leveraging your expertise in physical design and machine learning to tackle challenging problems across various aspects of the design flow, such as logic synthesis, floor planning, power/clock distribution, place and route, and more. This role involves close collaboration with cross-functional teams, including design, power, post silicon, CAD, software, and machine learning, to develop cutting-edge solutions that will shape the future of Apple's products. Strong programming skills in Python, along with excellent communication and organizational abilities, are essential for success in this role. Knowledge of TCL or C++ is a plus, and experience with circuit design and flow development is advantageous. If you're passionate about innovation and eager to contribute to groundbreaking Apple products, this role offers a unique and rewarding opportunity.

Join Contoro Robotics - Revolutionizing Warehouse Automation with Cutting-Edge Robotics At Contoro Robotics, we're on a mission to solve labor challenges through advanced robotic solutions. Headquartered in Austin, TX, our fast-growing startup is transforming the supply chain industry with our flagship warehouse automation technology. Our team is made up of top-tier experts in robotics, AI, and logistics, working together to push the boundaries of automation. We're looking for talented and ambitious individuals to join us on this journey-helping shape the future of robotics while growing alongside a world-class team. If you're passionate about innovation, problem-solving, and making a real-world impact, we want to hear from you! Intro Contoro Robotics is an Austin-based startup revolutionizing warehouse automation with a cutting-edge autonomous truck unloading solution capable of handling payloads over 60 lbs. Our mission is to deploy reliable, high-throughput robotic systems that solve real logistics challenges daily-beyond proof-of-concept demos. We're seeking a seasoned Senior Robotics Engineer specializing in perception and sensor fusion to drive our next generation of autonomous capabilities from prototype to production. Job Responsibility Perception & Computer Vision Detect and estimate 6-DoF poses and 3D dimensions of rigid objects under occlusion and challenging lighting. Sensor Fusion & Calibration Integrate and synchronize multi-modal sensors (cameras, LiDAR, IMU, radar/ultrasonic). Perform extrinsic/intrinsic calibration techniques (hand-eye, LiDAR-camera alignment). Localization & Environment Awareness Implement lightweight localization methods (e.g., point-cloud registration, marker-based or feature-map alignment) within constrained, repetitive environments like shipping containers. Qualification/Requirements Experience: 5+ years of professional experience in robotics perception and sensor fusion, with at least 2 years in a senior or lead role. Education: Min. bachelor's degree in Robotics, Computer Science, Electrical Engineering, or a related field/equivalent industry experience). Technical Expertise: Proficient in C++ (modern standards), Python, and ROS 1/ROS 2. Hands-on with industrial 3D cameras, LiDARs, IMUs, radar sensors, and synchronized data acquisition. Deep understanding of multi-sensor calibration techniques (e.g., hand-eye, LiDAR-camera extrinsics). Strong background in both deep-learning (e.g. YOLO, Mask R-CNN) and classical vision (feature matching, PnP, RANSAC) toolchains. Proficiency with OpenCV, PCL, Open3D for real-time image and point-cloud processing. Soft Skills: Strong problem-solving skills and data-driven decision-making. Excellent communication-capable of presenting complex technical concepts clearly to cross-functional teams. Preferred/Plus Exposure to SLAM-lite or marker-based mapping approaches (AprilTags, ArUco). Prior work with cloud-based monitoring/logging (AWS RoboMaker, Azure IoT). What We Offer Competitive salary and equity options in a rapidly growing startup. Comprehensive benefits: health, vision, dental 401k match health & wellness program continuous education Free Office Snacks Flexible Work hours Entertainment Area (ping pong) Pet friendly office Employee Recognition Program (nectar HR) A high-impact role with the chance to directly shape the future of robotics. Opportunities for career growth in an exciting, fast-paced, and innovation-driven environment. A collaborative and dynamic team, where your contributions are valued, and you'll have the support needed to excel. Join Us & Shape the Future of Robotics!

Comau, is a worldwide leader in delivering advanced industrial automation products and systems. Its portfolio includes technology and systems for electric, hybrid and traditional vehicle manufacturing, industrial robots, collaborative and wearable robotics, autonomous logistics, dedicated machining centers and interconnected digital services and products able to transmit, elaborate and analyze machine and process data. At Comau, we globally thrive by building and fostering an equitable and inclusive workforce across all dimensions: gender, sexual diversity, abilities, ethnicity, and generations. We are committed to foster a culture that acknowledges individual uniqueness and fosters creativity, in which employees of diverse backgrounds and with different abilities can feel safe, respected, and included. Duties and Responsibilities Robot application software development. Technical Support in proposal. Software commissioning support during the project execution. Support the robot simulation and virtual commissioning. Participate and support in the new device application development.