Engineering Technician jobs at Saalex Solutions - 2143 jobs

Seattle, Washington, United States Machine Learning and AI Join us in enabling the next generation of intelligent experiences in Apple's products and services with the latest advancements in Generative AI and Large Language Models! We are looking for a very experienced, machine learning engineer, who has also worked in ML infrastructure. Ideally, you should have experience with shipping intelligent features, end-to-end, and from idea to production. You should also have experience in building ML infrastructure to enable others to iterate faster and expertise in certain ML domains (preferably in Gen AI and LLM). You will help find novel solutions for our ML problems and collaborate with all ML teams at Apple to optimize our platform. Are you ready to impact billions of our users? Description You''ll be part of Apple's internal Machine Learning Platform group that enables ML teams to iterate their projects faster, from: data engineering, labeling, training, online and offline evaluation, experimentation and more. Bring your expertise to help us define and build the next set of features (given the new challenges in the latest advancement of generative AI and large language models). You will also partner closely with our customer and other internal partner ML teams cross the company to help further adopt and apply our platform, gain feedback and iterate our products (services, SDK and web UI) to be more user friendly and scalable. Minimum Qualifications A minimum of 3 years as tech lead 8 years of proven experience in machine learning related software engineering, such as: product, infrastructure, frameworks or tools Strong expertise in machine learning domains, such as: CV, NLP, recommender systems, Gen AI or LLMs (preferred) Proficient in ML training and deployment frameworks, like: Tensorflow, PyTorch, Faster Transformer, TensorRT, vLLM Proficient in cloud computing and data processing infrastructure and tools: Kubernetes, Ray, PySpark, SQL Ability to clearly and concisely communicate technical and architectural problems, while working with partners to iteratively find solutions Bachelors in Computer Science, related field or equivalent experience Preferred Qualifications Strong expertise in machine learning domains, such as: CV, NLP, recommender systems, Gen AI or LLMs At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $171,600 and $302,200, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . #J-18808-Ljbffr

AIML - Data Engineer, Machine Learning Platform Technologies Seattle, Washington, United States Machine Learning and AI Join us in building the machine learning platform that enables teams at Apple to build Apple Intelligence and many other intelligent experiences across hardware, software and service products. As a Machine Learning Data Platform Engineer, you'll design and build the scalable dataset management platform that enables teams across Apple to discover, curate, version, share, process, and consume ML datasets with enterprise-grade compliance and governance. We're looking for an engineer with deep expertise in big data infrastructure and a passion for building platforms that make ML practitioners more productive. You'll work at the intersection of large-scale data systems, ML workflows, and data governance. Description In this role, you'll be architecting and building Apple's next-generation ML dataset management platform. This platform enables ML teams across the company to efficiently manage the full lifecycle of datasets, from initial curation and annotation through versioning, model training and evaluation, sharing, and compliance. You'll design scalable infrastructure that supports dataset operations at massive scale while maintaining strong governance guarantees. Your work will include building data lineage tracking systems, implementing automated compliance workflows, creating intuitive APIs and SDKs for dataset access, and ensuring seamless integration with ML training and evaluation pipelines. You'll collaborate with teams building customer-facing ML features across iOS, mac OS, and other Apple platforms, as well as compute infrastructure teams and ML framework owners. Your platform work directly enables the ML innovations that millions of customers experience daily. This role offers the opportunity to have broad impact across Apple's ML initiatives and to shape how thousands of ML practitioners build the intelligent experiences our customers love. Minimum Qualifications Bachelor's degree in Computer Science, related field, or equivalent practical experience. 10+ years building and scaling data infrastructure for petabyte-scale ML workloads with high reliability Deep expertise in modern data technologies (Apache Iceberg, Spark, S3, distributed systems), data modeling, schema evolution, and efficient storage formats (Parquet, Arrow, ORC) Experience building data pipelines that handle diverse ML data types: structured/tabular data, unstructured media (images, video, audio), embeddings, and multimodal datasets Proven track record building dataset management systems including versioning, metadata management, discovery, and integration with production ML training pipelines Experience designing data governance frameworks including lineage tracking, access control, retention policies, and compliance workflows Experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes) Strong cross-functional collaboration skills to understand diverse stakeholder needs and articulate technical decisions across ML engineering, data science, legal, and product teams Preferred Qualifications Hands-on experience curating or managing datasets for production ML models Experience with data cataloging systems, metadata platforms, MLOps tools, or ML training frameworks Knowledge of privacy-preserving technologies and data quality/validation frameworks Note: Apple benefits and compensation information are provided as part of the overall package and are subject to eligibility requirements and plan terms. The base pay range for this role is between $201,300 and $302,200, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to participate in discretionary employee stock programs, and may be eligible for stock units and Apple stock purchase programs. You'll also receive benefits including comprehensive medical and dental coverage, retirement benefits, discounts on products and services, and reimbursement for approved education-related expenses. This role may be eligible for discretionary bonuses, commissions, or relocation assistance. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant. #J-18808-Ljbffr

We're looking for a staff software engineer to lead a team scaling the distributed systems running Asana's in‑house web framework, LunaServer. You will help us ensure high availability and performance as we support higher throughput from ever larger customers. The LunaServer Infrastructure team owns and supports the production services that run Asana's business logic and asynchronous task queue. As the Tech Lead of the team, you will help us anticipate scaling challenges and plan work for the team to solve those problems. We work closely with other teams in the backend infrastructure group to build and retain customer trust in Asana as the platform for their critical workflows. This role is based in our San Francisco office with an office‑centric hybrid schedule. The standard in‑office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in‑office requirements. What you'll achieve: Work with other engineering leaders to set an ambitious and compelling roadmap for a team of 5‑7 backend engineers Design and implement reliable, performant, and scalable distributed systems backing Asana's webservers and Developer API Improve and evolve how we schedule, run, and manage our asynchronous task queue Lead large projects with other backend engineers through all stages of development, from design and implementation to deployment and iteration Mentor other engineers on the team on topics such as project leadership and system design principles Collaborate closely with other infrastructure teams at Asana to define how user data in the Work Graph is accessed Support framework and product engineers to build new product functionality at scale, quickly Ensure high customer trust by participating in an on‑call rotation for our team's services About you: 6+ years of engineering experience building and operating reliable backend services, with 3+ years of experience leading projects and initiatives You have experience setting direction for and leading large initiatives (spanning across multiple teams, and perhaps organizations) You have a passion for mentoring other engineers to help them create and maintain production‑quality infrastructure You are skilled at communicating technical concepts and constraints to cross‑functional partners in product and sales You demonstrate curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision‑making You have experience managing Node.js services in production You are familiar with infrastructure‑as‑code and container orchestration technologies like Terraform and Kubernetes At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we'll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $248,000 ‑ $316,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long‑term savings or retirement plans In‑office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. #LI‑Hybrid #LI‑AA1 About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office‑centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. Join Asana's Talent Network To stay up to date on job opportunities and life at Asana. #J-18808-Ljbffr

A leading real estate information firm is looking for an Associate Machine Learning Engineer to develop and implement cutting-edge machine learning algorithms. The role involves collaboration with researchers and engineers on projects involving computer vision, deep learning, and 3D data analysis. Candidates should have a bachelor's degree in computer science or related field, Python programming skills, and relevant internship experience. An annual salary between $82,300 - $179,000 is offered along with a benefits package. #J-18808-Ljbffr

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. PhD degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. Academic, educational, internship, or project experience with physical design and 3D integration technologies such as 3D-IC, 2.5D, chip stacking, vertical stacking, integrity, or Through-Silicon Vias (TSV). Experience with running industry standard tools for chip design (e.g., from Synopsys, Cadence, or Siemens EDA). Preferred qualifications Experience with advanced finfet and gate-all-around technology nodes, and enabling physical design flows in these nodes. Experience in delivering optimized digital place-and-route blocks leading to test chip or product tapeouts. Experience with programming/scripting (TCL, Python, or Perl). Expertise with Power, Performance, and Area (PPA) design trade-offs and optimizations in physical design spaces. Understanding of standard cells, SRAMs, power, noise, and IR analysis. Excellent presentation and communication skills. About the job In this role, you'll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You'll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. As a Physical Design Engineer in 3D Technology, you will collaborate with technology, physical design, circuit design, and hardware architecture teams to overcome the slowing of Moore's Law while delivering ASIC's and SoC's. You will help develop new 3D technology physical design methodologies to drive best product Power Performance Area (PPA) by optimizing across technology, digital block implementation, clock distribution, floorplanning, circuits, memories, and third-party IPs. You will drive new physical design flows that co‑optimize across the entire design methodology space, including 3D and see these through from inception to maturity and tapeout. This will include high impact physical design innovations with through‑silicon vias (TSVs) requiring methodology and verification flow development and ratification. As part of this work, you will participate in the development of exceptional technology in high performance computing and ensure product success. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving team behind Google's groundbreaking innovations, empowering the development of our AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world‑leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. The US base salary range for this full‑time position is $132,000-$189,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location 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, equity, or benefits. Learn more about benefits at Google. Responsibilities Drive development of a leading edge 3D technology platform for custom, high performance ASIC's and SoC's, from design through manufacturing, packaging, and test. Optimize digital blocks for performance, power, area, and reliability using physical design and circuit techniques. Define optimal methodologies by investigating performance, power, and area across different technology nodes and implementation techniques. Work with our physical design, technology, circuits, and architecture teams and IP partners in advanced Complementary Metal‑Oxide‑Semiconductor (CMOS) nodes. Design and build custom circuits at the transistor and gate levels to support physical design and floorplan optimization. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. #J-18808-Ljbffr

A leading technology company in Cupertino is seeking a Senior Machine Learning Engineer to enhance Siri's capabilities. The ideal candidate has a Master's or PhD and 10+ years in machine learning systems, focusing on model accuracy and collaboration across teams. Competitive compensation includes base pay, stock options, and comprehensive benefits. Join us to shape the future of intelligent assistance. #J-18808-Ljbffr

A leading tech company is seeking a Software Development Manager for its Ads Sales Tech group in San Francisco, California. The successful candidate will lead and develop teams responsible for key advertising technologies, evaluate complex requirements, and create a vision for timely project delivery. Candidates should have extensive engineering experience, including team management and web services development. This role offers a dynamic work environment and the opportunity to influence technical direction. #J-18808-Ljbffr

A leading streaming platform is seeking a Senior Software Development Engineer in San Francisco to enhance their video platform. You'll lead a team, mentor engineers, and collaborate with product managers, significantly impacting the user experience. Ideal candidates have extensive software development experience and strong knowledge in backend services and governance. This role offers competitive benefits including health insurance and PTO. #J-18808-Ljbffr

A leading construction technology firm is seeking a Senior iOS Engineer to lead a talented team in building a high-performing iOS app for construction management. The role requires expertise in Swift, iOS development, and leadership abilities. As a hybrid position based in San Francisco, responsibilities include designing, maintaining the app and collaborating with cross-functional teams. Candidates should have a strong background in modern iOS development, debugging, and guiding junior engineers. This is a fantastic opportunity to contribute to innovative solutions in a rapidly growing field. #J-18808-Ljbffr

Software development experience in one or more general‑purpose programming languages such as Golang or Java Knowledge of computer science fundamentals such as object‑oriented design, algorithm design, data structures, problem solving, and complexity analysis Experience with distributed, multi‑tiered systems, caching, and relational databases Effectively articulate technical challenges and solutions Ability to communicate effectively at all levels internally-software engineers, managers, cross‑functional teams, and across a variety of formats such as technical design and external‑facing presentations Sets the bar for operational excellence and drives improvements in customer SLAs and system KPIs Experience & Qualifications 6 months - 2 years of professional work experience in Golang (GO) and/or Java Experience with distributed systems, caching mechanisms (e.g., Redis, Memcached), and relational databases Experience in building backend applications and translating requirements into precise low‑level designs (LLD) Experience in the gaming industry is preferred, but we also welcome those with a passion for working on services that power games Proficient in working with cloud providers such as AWS, Azure, or GCP Bachelor's degree in Computer Science or a technical field of study, or equivalent industry experience Join Skillz and Let's Redefine the Boundaries of Gaming! Together, we'll create a world where skill, passion, and innovation thrive. Join our team and be part of the journey. We look forward to having you on board! Skillz embraces diversity and is proud to be an equal‑opportunity employer. As part of our commitment to diversifying our workforce, we do not discriminate on the basis of age, race, sex, gender, gender identity, color, religion, national origin, sexual orientation, marital status, citizenship, veteran status, or disability status, and we operate in compliance with the San Francisco Fair Chance Ordinance. #J-18808-Ljbffr

Why Join Us Yotta's huge fanbase has helped turn us into a globally ranked game developer with offices worldwide. Despite our success, at heart we are still players trying to create exciting and engaging, never-before-experienced games. That drive to make games that we want to play is what animates our well-resourced, ambitious, creative team members. Working together in a supportive, open workplace and taking cues from our gaming communities, we create products that entertain the world. Responsibilities We are looking for an experienced Cinematic Tech Designer to prototype and build high-end cinematic gameplay experiences. This role involves collaborating with level designers, cinematics director, and cinematics designers to design, prototype, and implement complex, AAA-quality cinematic gameplay sequences. The ideal candidate has a strong background in interactive and scripted cinematic experiences, with an emphasis on design and technical implementation within a game engine. Should be someone who can guide a project from start to finish, taking the sequence from rough design to finished, polished experience. Candidate should be able to work quickly, creating rapid prototypes to test and troubleshoot high-level design, before using blueprints or scripting to create the final version. We invite you to apply for this role if you are looking to start an exciting journey at a growing studio. What You'll Be Doing: Collaborate closely with level designers, cinematics designers, and cinematics director to design, prototype, and build AAA cinematic gameplay experiences; Ensure that design and implementation are done in a systemic and modular way that is able to be used by designers in other departments; Quickly produce and iterate prototypes based on project needs and feedback; Design and implement miscellaneous other gameplay systems as needed; Provide backend system support to ensure smooth integration and functionality; Optimize and debug systems to ensure a seamless player experience; \ Stay updated with industry trends and advancements in game design and technology. Qualifications We Expect You To Have: Professional experience working on tech design or tech art, and high-end cinematic gameplay experiences, for at least five years total; Tech-centric skill set with a passion for cinematics; The ability to quickly produce and iterate on prototypes; The ability to troubleshoot and debug complex systems, and to solve problems that arise on the border between cinematics and gameplay; Proficiency in blueprints and scripting languages; Strong communication and collaboration skills, with the ability to work effectively in a team environment; Passion for gaming and a deep understanding of what makes gameplay fun and engaging. Even Better If You Have: Experience working with Unreal Engine; Experience working on AAA game titles; Experience working on 3rd person ARPG style games; Love of film or high-end action gameplay sequences; Additional Information Hybrid role based in El Segundo (Monday, Wednesday & Thursday on-site); Current working hours: Monday - Friday, 11am - 8pm Pacific Time (including one-hour break) The estimated base pay range for this role is: 130-160k USD. Yotta is committed to building an inclusive environment where creative professionals from a multitude of diverse cultural backgrounds collaborate to inspire audiences and each other. We are passionately supportive of equality in all its forms and never discriminate on the basis of race, color, religion, sex, orientation, identity, national origin, handicap, or any other category protected by applicable federal and state law.

Are you an experienced Civil Engineering Technician with a desire to excel? If so, then Talent Software Services may have the job for you! Our client is seeking an experienced Senior Management Consultant to work at their company in Phoenix, AZ. Position Summary: Functions in a project engineering technician capacity. Under general direction, supports engineering and design teams by developing and modifying technical deliverables. Applies foundational engineering principles and established design practices to create moderately complex design concepts and solutions. Utilizes digital tools and design software (e.g., CAD, BIM, 3D modelling) to create, modify, and maintain technical documentation, drawings, and project deliverables. Provides technical guidance and may offer direction to other engineering professionals and technicians to ensure quality and consistency across project outputs. Primary Responsibilities/Accountabilities: Applies knowledge of standards, systems, document control, departmental guides, applicable codes and client's policies and procedures. May review project requirements and accurately determine the correct format and contents of the required deliverables. Proactively applies the client Quality Program to deliverables. Demonstrates personal accuracy and supports continuous improvement and change management efforts. Reviews design inputs in order to ensure consistency. Assists in ensuring deliverables are in compliance with the specific codes and standards suitable for the project. May apply basic engineering principles and established design practices in developing moderately complex design concepts and deliverables. Begins to apply judgment and make decisions with respect to deliverables and input interpretation. Capable of handling difficult technical assignments within an area of expertise and can provide technical guidance to other professionals. Performs design calculations, detailed material quantities and estimates, and records. May review the deliverables of others. May define work assignments and maintain schedules. May program control systems or participate in other plant start-up activities associated with a specialized area of expertise. Coordinates with other design group personnel to review and exchange project information necessary for design development. May support field activities. Focuses on the needs of internal clients while utilizing an understanding of external clients' main interests and drivers. Proactively seeks and shares knowledge of latest technologies and processes. May apply judgment and make decisions with respect to deliverables and input interpretation. Qualifications: Advanced Autodesk Civil3D is required with the use of pipe/pressure networks, proposed grading surfaces and plan and profile development. Must be familiar with plan & profile drawings, alignments, pipe networks and grading. Typically, a minimum of 5 years of related work experience. Autodesk Civil 3D Autodesk AutoCAD Bluebeam Experience in the appropriate electronic applications and programs required for performing assignments, including but not limited to CADD or other electronic applications. Advanced ability to interpret engineering deliverable content as assigned. Basic knowledge of engineering standards, systems, document control, departmental guides and B&V policies and procedures. Basic industry knowledge and technology trends. Basic knowledge of the company quality program. Basic knowledge of other disciplines. Basic knowledge of construction & constructability practices & principles. Basic knowledge of engineering design principles and applicable design guides related to the assigned engineering discipline.

Title: Automation Technician 1st Shift Duration: 12 Months Key Skills and Experience: **2-3 years of experience in the maintenance, troubleshooting, and repair of manufacturing production and test equipment, or other related equipment or machinery. **Possesses excellent hands-on mechanical experience and a strong aptitude for learning new mechanical processes and providing instruction to team members. Overall Job Description: An Automation Technician's responsibilities include performing PMs and inspections on a variety of automated and semi-automated equipment, machine assembly/disassembly, and providing technical expertise and support to other maintenance technicians. An Automation Technician will also work on projects for new equipment and/or processes, assist with validations, and calibrations. Additional responsibilities include monitoring equipment for maintenance and improvement opportunities and updating PM schedules as needed. An Automation Technician recognizes and elevates safety, equipment, and product problems, contributing to the achievement of production goals. Ensures all production related documentation is in compliance with quality system regulations. Will assist in training new employees and sharing best practices. An Automation Technician also provides guidance to team members and communicates and collaborates with leadership as needed. They must have strong communication and organizational skills and the ability to identify opportunities that would drive the business forward.

Manufacturing Bioprocess Technician I Assignment Duration: 11+ Months Work Arrangement: Onsite As an entry level Manufacturing Technician, you will work within a team to produce and deliver quality products for patients around the world. The Organization is a 24/7 site, and technicians support both Upstream and Downstream manufacturing operations. Background & Context The Organization operates under strict regulatory oversight and quality standards to maintain its right to operate and commitment to governing bodies worldwide. Key Responsibilities • Work safely at all times and follow Standard Operating Procedures • Support Upstream manufacturing including media preparation, cell culture maintenance, and bioreactor setup/breakdown • Support Downstream operations including buffer preparation, chromatography skids, cleaning and steaming in place, and formulation support • Maintain compliance with cGMP, ISO/FDA standards • Participate in onboarding and on-the-job training programs Qualification & Experience • Proficiency in English (reading, writing, communication) • Ability to work all shifts, required overtime, and stand for extended periods • Ability to pass all job-related tests and certifications for cGMP environments • Annual re-qualification on required training and certifications • Ability to climb up to 6 flights of stairs daily • Ability to lift up to 25 lbs • Willingness to wear required cleanroom gowning; no makeup, jewelry, or personal cell phones Education • Degree in Life Sciences or Engineering with 1 year experience • OR Associate degree with 3 years experience • OR Biotech certificate from approved program • OR High school diploma with 5 years experience Work Experience • 1-2 years (within last 7 years) operating complex mechanical equipment in Upstream or Downstream processes preferred • Experience in pharmaceutical, biotech, biomedical, electronics, chemical, food, cosmetics, or medical industries desirable Computers • Computer literate; able to interface with computer systems and PLC-based logic • Comfortable with Microsoft Word, Excel, PowerPoint, email, and web navigation • Basic typing skills and familiarity with Google platforms Additional Information • No relocation benefits offered

Yulista Tactical Services LLCRegular Primary Function Yulista Tactical Services, LLC has an opening for an Engineering Technician II supporting the US Army Operational Test Command (USAOTC) Intelligence Electronic Warfare Test Directorate (IEWTD) at Fort Huachuca Arizona for the Test Technology Support Services (TTSS) contract. The Engineering Technician II utilizes technical knowledge of electronics principles to install, repair, modify, maintain, test, and develop various types of mechanical, electronic, and electrical equipment and related devices. Essential Duties * Performs assignments that are not completely standardized or prescribed. * Selects or adapts standard procedures or equipment, using fully applicable precedents. * Receives initial instructions, equipment requirements, and advice from supervisor or engineer as needed. * Performs recurring work independently. * Performs at this level one or a combination of such typical duties as: * Constructing components, subunits, or simple models or adapts standard equipment; may troubleshoot and correct malfunctions. * Following specific layout and scientific diagrams to construct and package simple devices and subunits of equipment. * Conducting various tests or experiments which may require minor modifications in test setups or procedures as well as subjective judgments in measurement, selecting, preparing, and operating standard test equipment and records test data. * Extracting and compiling a variety of engineering data from field notes, manuals, lab reports, etc., processing data, identifying errors or inconsistencies, selecting methods of data presentation. * Assisting in design modification by compiling data related to design, specifications, and materials that are pertinent to specific items of equipment or component parts; developing information concerning previous operational failures and modifications and using judgment and initiative to recognize inconsistencies or gaps in data and seek sources to clarify information. * Provides guidance for test planning activities. Supervisory Responsibilities This position does not have direct reports or supervisory responsibilities. Desired Knowledge, Skills & Abilities * Knowledge of computer applications software. * Can identify and communicate risks and provide mitigation strategies. * Ability to enter data accurately into databases. * Ability to write routine reports and correspondence. * Interpersonal skills are necessary to work effectively and cooperatively with all levels of management and staff. * Must possess effective oral and technical written communication skills to clearly communicate information to others. * Ability to use general office equipment such as phone, copier, scanner, printers, etc. * Ability to follow a process. * Strong professional customer service skills, including active listening, prompt service and follow-up. * Strong decision analysis and problem-solving skills; ability to draw conclusions and justify decisions. * Must be able to communicate issues to management. * Ability to perform basic mathematical computations. * High degree of self-motivation and the ability to work independently. * Ability to multi-task. Required Qualifications * High School Diploma or GED and 2 years of experience, or U.S. Military honorable discharge, or any equivalent combination of relevant education and experience. Must be a US Citizen * Must have an active Secret Clearance. * Must fluently speak, read, understand, and write the English language. * Ability to successfully pass a pre-employment physical and drug test. PREFERENCE STATEMENT Preference will be given to Calista shareholders and their descendants and to spouses of Calista shareholders, and to shareholders of other corporations created pursuant to the Alaska Native Claims Settlement Act, in accordance with Title 43 U.S. Code 1626(g). EEO STATEMENT Additionally, it is our policy to select, place, train and promote the most qualified individuals based upon relevant factors such as work quality, attitude and experience, so as to provide equal employment opportunity for all employees in compliance with applicable local, state and federal laws and without regard to non-work related factors such as race, color, religion/creed, sex, national origin, age, disability, marital status, veteran status, pregnancy, sexual orientation, gender identity, citizenship, genetic information, or other protected status. When applicable, our policy of non-discrimination applies to all terms and conditions of employment, including but not limited to, recruiting, hiring, training, transfer, promotion, placement, layoff, compensation, termination, reduction in force and benefits. REASONABLE ACCOMMODATION It is Calista and Subsidiaries' business philosophy and practice to provide reasonable accommodations, according to applicable state and federal laws, to all qualified individuals with physical or mental disabilities. The statements contained in this are intended to describe the general content and requirements for performance of this job. It is not intended to be an exhaustive list of all job duties, responsibilities, and requirements. This is not an employment agreement or contract. Management has the exclusive right to alter the scope of work within the framework of this job description at any time without prior notice.

A leading cybersecurity firm is seeking a Cyber Security Engineer SME - Associate Director to lead security initiatives and manage enterprise-level solutions, particularly in federal environments. The ideal candidate will have extensive experience in threat detection, incident response, and a strong understanding of cybersecurity standards. Excellent communication skills are vital to convey complex concepts to stakeholders. This role offers a competitive salary and comprehensive benefits. #J-18808-Ljbffr

Qualifications: Here's What You'll Need: • Associate's degree (AA) in Computer Aided Drafting and Design or similar technical degree • 15+ years of piping engineering or design experience, with at least 5 years in a lead or supervisory role. • Proven ability to manage scope, schedule, and budget for complex industrial projects. • Advanced knowledge of piping codes and standards (ASME, B31.3, BPE, etc.). • Software Expertise: Ideally, you can model in Revit or AutoCAD Plant 3D, but at a minimum, you must have proven history utilizing these tools with coordination of global teams. • Strong understanding of constructability, safety, and cost control principles. • Excellent communication and leadership skills to manage multi-discipline teams and client interactions. Ideally You Will Have: • Bachelor's degree in Mechanical Engineering or a related discipline. • Experience in pharmaceutical, biotech, or advanced manufacturing facilities. • Familiarity with pipe stress analysis and integration with design deliverables. • Demonstrated success in global workshare execution and remote team leadership. • Ability to mentor and develop junior engineers and designers, fostering technical growth. • Strong business acumen with an understanding of earned value management and change control processes. • Advanced proficiency in Revit and AutoCAD Plant 3D. Some past experience with Hexagon SmartPlant 3D. Responsibilities: What You'll Do: • Serve as the primary discipline lead for piping engineering and design, ensuring compliance with client's standards, procedures, and quality expectations. • Supervise all aspects of pipe design, including layout development, routing, and coordination with other disciplines. • Oversee project level piping material specifications, ensuring proper selection for process, utility, and specialty systems. • Maintain strong client relationships, understanding their expectations and promptly communicating scope or design changes. • Oversee project earned value, monitor progress, and manage change effectively. • Develop person-hour estimates, allocate resources, and determine staff effectiveness-who does what and when. • Oversee project level piping stress analysis activities, coordinating with stress engineers to ensure system integrity and compliance with applicable codes. • Drive successful global workshare execution through heightened communication and strategic coordination. • Be able to communicate definitive expertise around Piping and Facility Layout principles • Review vendor drawings, execute piping engineering design, and develop design estimates. • Keep construction costs and safety measures at the forefront of all decisions. • Mentor and guide team members, fostering growth and technical excellence. Comments/Special Instructions Position requires 40% of in-office at Cary location (2 of 5 days)

Qualifications: Here's What You'll Need: • Associate's degree in Design Technology or related discipline (or equivalent experience). • 5+ years of piping design experience in industrial or commercial facilities. • Proficiency in AutoCAD Plant 3D or Revit for piping design and modeling. • Solid understanding of piping design basics and familiarity with equipment layout. • Ability to interpret piping specifications and apply them to design. • Strong organizational skills and attention to detail. • Effective communication skills for coordination with multi-discipline teams. Ideally You Will Have: • Bachelor's degree in Mechanical Engineering or related discipline. • Experience in pharmaceutical, biotech, or advanced manufacturing facilities. • Familiarity with pipe stress considerations and integration with design. • Ability to assist in specification management and QA/QC workflows. • In addition to AutoCAD Plant 3D or Revit, Hexagon SmartPlant 3D experience. • Exposure to global workshare execution and collaborative design environments. Responsibilities: What You'll Do: • Develop piping layouts and routing using AutoCAD Plant 3D or Revit. • Apply piping design fundamentals, including pipe sizing, routing, and coordination with other disciplines. • Assist with facility equipment layout to ensure efficient and safe designs. • Review vendor drawings and incorporate equipment data into piping models. • Understand project scope and identify potential changes that impact design hours or deliverables. • Support development of person-hour estimates for assigned tasks. • Collaborate with global teams to ensure successful workshare execution. • Maintain compliance with client's standards, procedures, and quality expectations. Comments/Special Instructions Position requires 40% of in-office at Cary location (2 of 5 days)

We're looking for a technical leader with a bias for quality, systems thinking, and impact to spearhead the engineering behind Station A's geospatial evaluation platform-the engine that identifies the most financially viable clean energy opportunities in the market. This role thrives in an early-stage, fast-moving environment while building the right long-term systems: balancing speed with maintainability, enabling the team to scale, and creating the technical foundation for the next decade of growth. About The Role In the next 30 years, every part of our built environment will need to transform to support a more resilient, independent, and decarbonized grid. Rising demand from data centers, electrification of everything, and an aging power grid create both pressure and opportunity for clean energy deployment. The problem? Origination. Most clean energy projects fail long before they are built because developers spend enormous time and money qualifying sites, collecting data, assessing interconnection, and navigating zoning, only to discover too late that projects will not pencil. In fact, as much as 80% of projects stall or die, representing billions in wasted costs and years of lost time. At Station A, we are solving this bottleneck. Our evaluation platform combines geospatial data, analytics, and automation to rapidly identify the most financially and technically viable clean energy opportunities before a project starts. In the past year alone, we have evaluated over 85 GW of projects, surfacing billions in potential investment. This role is about leading the technology behind that evaluation engine, scaling it to be the fastest, most accurate, and most trusted way to identify clean energy opportunities in the market. By joining, you will help build the technical foundation that enables cleaner, cheaper, and more reliable power for businesses and communities across the country. Whether or not you have worked in climate tech before, if you want your engineering leadership to tackle a mission-critical challenge at the intersection of energy, infrastructure, and technology, we would love to talk. Who We Are Station A is a technology company reimagining how clean energy is bought and sold. Our remote-first team is made up of climate-minded technologists, strategists, and operators committed to making climate action a no-brainer for everyone. We combine proprietary software with industry expertise to guide commercial real estate owners and operators through their decarbonization journey, starting with evaluation of their portfolios and culminating in transactions through our clean energy marketplace. Compensation Reports to: Head of Product Preferred Locations San Francisco, Los Angeles, elsewhere in CA (Remote OK) We believe in pay transparency. The annual base salary for this role is $165k - $210k, with performance-based annual bonus and stock options. Learn more about our benefits here. What You'll Do As Technical Lead, Evaluation Technology, you'll take ownership of the core geospatial and data-driven systems that power Station A's marketplace. You will: Own the architecture and scalability of our evaluation platform: designing, refining, and growing the engine that identifies viable clean energy opportunities across hundreds of thousands of buildings Raise the technical bar by instilling best practices across the SDLC: test coverage, CI/CD, system observability, and multi-phase refactors Mentor and force-multiply: coach engineers through pairing, design reviews, and example-setting, helping the team level up technically and culturally Think in systems: evolve not just code but the processes and collaboration patterns that help the engineering team grow sustainably Collaborate cross-functionally with Product, Design, Data, and Marketplace teams to ensure our evaluation stack is fast, scalable, and tightly aligned with business goals Partner with leadership as a thought partner on technology decisions, helping guide Station A's long-term platform strategy Requirements You might be a fit if you have… 8+ years of professional software engineering experience, with significant full-stack and data engineering exposure Proven track record leading complex, system-level projects from design through delivery Strong experience with Python (preferred), TypeScript, and SQL databases (PostgreSQL), including query optimization Comfort with geospatial technologies (e.g. Mapbox/MapLibre, Shapely, PostGIS) and building data pipelines for large-scale spatial analysis Experience with CI/CD, automated testing, and cloud infrastructure (GCP or equivalent) The ability to mentor engineers and foster a high-performing, learning-oriented culture Excellent communication skills-you can align technical tradeoffs with business value and make complex systems understandable to both engineers and non-engineers Bonus points for… Deep Python knowledge (e.g. Pydantic, Poetry) and passion for maintainable, well-structured code Experience with data engineering tools (Airflow, dbt, Kafka, Spark) to support scalable evaluations Exposure to AI/ML applications, especially for geospatial or optimization problems Domain experience in clean energy, sustainability, or climate tech Why this role matters Technical leadership capacity: We're understaffed in strong technical leadership. You'll shape both the system and the team that builds it Systems thinking: You'll help us manage technical debt intentionally, and redesign core pieces of our platform as we scale Mentorship: Your example will level up the engineering org, embedding best practices across the team Capacity growth: Every line of code you and your team ship enables Station A to scale our business model from service-heavy to product-driven Location & Travel Preferred: San Francisco, Los Angeles, or California-based to align with core engineering hours and enable periodic in-person collaboration Anticipated travel: 1x/year for all-company retreat; quarterly engineering meetups (2-3 days each) Benefits We're committed to supporting a healthy, sustainable life outside of work: Remote-friendly work environment (U.S.-based) with coworking options Flexible PTO Monthly remote work stipend ($50/mo or $600/yr) Learning & development budget to support your professional growth Comprehensive medical, dental, and vision insurance (including FSA and HSA options) 401(k) plan, with matching on the roadmap 12-15 paid holidays annually Why You Might Be Excited About This Role You see geospatial evaluation at scale as both a technical and climate challenge worth solving You care about grid resiliency and energy independence and see geospatial analysis as a powerful lever for accelerating deployment You believe evaluation should be accurate, scalable, and transparent, and you are excited to design systems that make project qualification faster and more reliable You see the potential for technology to eliminate waste in the origination process, where today most projects stall or fail before they are even built You're motivated by the idea that every improvement to our evaluation engine unlocks billions in viable projects and accelerates carbon reduction at scale You enjoy mentoring engineers and leaving systems better than you found them You want your engineering leadership to make a tangible difference at the intersection of energy, infrastructure, and technology Our Commitment We believe diverse perspectives fuel better ideas and stronger outcomes. If you are excited about this role-even if you don't meet 100% of the qualifications-we encourage you to apply. Station A is an equal opportunity employer committed to building an inclusive, respectful workplace. Hiring decisions are based solely on qualifications, merit, and business needs. #J-18808-Ljbffr