Solution Engineer (Pre-Sales) - Mulesoft (San Francisco)

Solution Engineer (Pre-Sales) - Mulesoft page is loaded Solution Engineer (Pre-Sales) - Mulesoftremote type: Office - Basedlocations: California - San Francisco: Washington - Seattle: California - Remote: Washington - Remotetime type: Full timeposted on: Posted Yesterdayjob requisition id: JR318263*To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.*Job CategorySalesJob Details About Salesforce Salesforce is the 1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.Job DescriptionSalesforce is looking for several Pre-Sales Solution Engineers to join our dedicated MuleSoft Pre-Sales Solution Engineering team, who are instrumental to MuleSoft’s growth. As a Pre-Sales Solution Engineer, you will provide technical sales partnership to our sales teams and align our solutions to our customers' vision. The MuleSoft Sales team will rely on your technical and product expertise throughout the sales cycle. You will be an integral part of the success for both our customers and Account Executives by performing technical discovery qualification, delivering product demonstrations and Proof of Concepts, delivering technical workshops, and making architectural recommendations. As a hardworking technologist and customer advocate, you will connect the dots between the technical solution to the business outcomes for the customer. You may be a good fit if you: * Are “Salesforce Smart” and value knowledge, Innovation, Integration, can manage ambiguity and adapt to change* Possess a “Get it Done” mentality with a drive for results while aligning values and vision with the direction of the team* Have a desire to “Win As A Team”* “Motivate and Champion” through development, ownership, gratitude, authenticity, emotional intelligence, inspiration and having a growth mindset* Are a “Courageous Communicator”, who is comfortable giving and receiving constructive feedback, and having difficult conversations* Have strong “Values” of open communications, customer success, innovation, and a respect for the diversity of people These are qualifications you'll need to be successful: * Excellent presentation and composure abilities in front of all levels of technical and non-technical audiences* A skillset to establish trust with clients, and the ability to influence key decision makers* Hands-on Java development experience and ability to code and debug against Java APIs is preferred* Experience with cloud technologies - iPaaS, SaaS applications, cloud infrastructure, etc. is preferred* Experience building and delivering Proofs of Concept (PoCs) and responding to functional & technical elements of RFIs/RFPs independently* Ability to lead architectural discussions* A passion for technology and an ability to translate that passion to impact business for our customers* Ability to travel as needed and to work flexible hours* Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.)* Build trusted relationships with internal and external partners to qualify deals, identify business value, and provide technical guidance in order to set expectations to ensure customer success* Conduct technical discovery meetings to document, analyze, clarify business and technical requirements to support detailed solution proposal* Deliver architecture reframe and develop white-boarding skills through shadowing and customer-scenario role playing* Respond to Request for Information/Proposal documents* Work hands-on with prospects and customers to deliver standard, customized and/or strategic solution demonstrations, white boarding, presentations, architecture workshops, and best practices that showcase the functional capabilities, competitive advantages, and business benefits of MuleSoft’s solutions, from demo and proof of concept to design and implementation* Collaborate with Product Management, Engineering, and Product Marketing to continuously improve MuleSoft’s products and marketing* Stay ahead of and Immerse yourself in the ever-evolving technology and landscape while maintaining a deep understanding of competitive and complementary technologies and vendors and how to position MuleSoft’s values in relation to them* Provide ongoing, post-sales, technical guidance to the client's technical team to drive adoption/utilization of MuleSoft’s solutions and digital transformation successAt MuleSoft, a Salesforce company, our mission is to help organizations change and innovate faster by making it easy to connect the world’s applications, data, and devices. Hiring exceptional people who want to build a great company is our number one priority. We are committed to providing an equal opportunity workplace where everyone is supported and inspired to do their best work. We work diligently to build this culture, and are proud to have been named the 1 Top Workplace in the Bay Area and the best place to work 6 years in a row.Unleash Your PotentialWhen you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and *be your best*, and our AI agents accelerate your impact so you can *do your best*. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this .Posting StatementAny employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. For Washington-based roles, the base salary hiring range for this position is $67,970 to $261,170. For California-based roles, the J-18808-Ljbffr

Metrology Solution Architect (Milpitas)

Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Group/Division With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA’s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The Film and Scatterometry Technology (FaST) Division provides industry leading metrology solutions for worldwide semiconductor IC manufacturers. The FaST Division portfolio of metrology products includes hardware and software solutions for optical film thickness, optical critical dimension (CD), composition, and resistivity measurement systems. These products are essential for the IC manufacturers as they provide critical metrology capabilities for the development and implementation of their advanced IC processes. The FaST division is committed to support our customers to achieve performance entitlement of our solution and we effectively partner with our customers from their early research and development phase to the high volume in-line manufacturing implementation specific for their process needs. The division consists of a global team located in US, Israel, China, and India. Job Description/Preferred Qualifications Customer Engagement & Technology Assessment Partner with semiconductor manufacturers to assess their technology roadmaps and process integration challenges. Identify evolving metrology requirements based on industry trends, customer needs, and device scaling roadmaps. Collaborate with customers to define technical specifications and success criteria for new metrology solutions. Solution Definition & Feasibility Analysis Translate customer requirements into clear problem statements and develop conceptual solutions. Lead cross-functional teams to assess the feasibility of different technical approaches, considering performance, cost, and manufacturability. Identify gaps in existing metrology capabilities and define development priorities for next-generation solutions. Development Leadership & Technical Validation Guide R&D, engineering, and applications teams to implement proposed solutions, ensuring alignment with customer needs. Define and oversee validation methodologies for new metrology solutions, including offline and in-fab evaluations. Drive risk assessment and mitigation strategies to ensure robust solution deployment. Customer Site Validation & Deployment Oversee the execution of beta testing and customer site validation to ensure product reliability and performance. Work closely with field teams to troubleshoot and refine solutions based on real-world application feedback. Provide technical guidance and training to customer teams to facilitate adoption of new metrology capabilities. Preferred Qualifications Deep understanding of semiconductor fabrication processes and metrology techniques (e.g., optical, e-beam, AFM, X-ray, etc.). Experience with AI/ML-driven metrology applications. Knowledge of semiconductor process control and fab automation. Familiarity with software-driven metrology solutions and data analytics. Experience developing hardware for semiconductor capital equipment industry. Minimum Qualifications Doctorate (Academic) Degree and related work experience of 5 years; Master's Level Degree and related work experience of 8 years; Bachelor's Level Degree and related work experience of 12 years Base Pay Range: $180,000.00 - $306,000.00 AnnuallyPrimary Location: USA-CA-Milpitas-KLAKLA’s total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave. Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process. KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at [email protected] or at 1-408-352-2808 to request accommodation. Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA . Please ensure that you have searched KLA’s Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to [email protected] to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information. J-18808-Ljbffr

MG Pilot Grant for Translational Myasthenia Gravis Research (, MD, United States)

MGNet, a NIH-funded Rare Diseases Clinical Research Consortium (RDCRC) in partnership with the Myasthenia Gravis Foundation of America, Myasthenia Gravis Association, Conquer MG and unrestricted support from argenx, is seeking proposals for highly innovative investigations in early stages of development. The priorities of the Pilot Grant Program are: Assess clinical measures and improve that enhance clinical trial readiness Evaluation of therapeutic interventions for one or more of the five distinct sub-types of MG. Pilot studies may access resources of MGNet, including the MGNet biorepository, statistical and immunology core, and extensive clinical experience of MGNet investigators. Research must fulfill the definition of clinical and translational research. Animal studies are not permitted. Funding The MGNet expects to fund one grant at a level of $75,000 (no more than an additional $20,000 will be available for indirect costs). Projects will be funded for 12 months, with a start date of March 1, 2026. Selection among the applications received will be based on the recommendations of the MGNet Research Review Committee. A grant may be renewed for an additional one year with approval of an interim report and competitive review with new applications. Demonstration of fulfillment of initial aims and justification for additional funding will be required. The PI must hold an MD, PhD, MD/PhD, RN, or more advanced, PharmD, DDS, DVM, or equivalent and be a faculty member at a US-based academic institution. Application A full proposal submission will consist of Specific aims (one page) NIH bio-sketch for key personnel NIH PHS 398 Detailed Budget Page and budget justification with any proposed cost sharing commitment. Human subjects and other institutional assurances to perform the intended research including a specific verification of investigator protected time to perform the study. Letters of support (optional) Application Process Applicants must submit a completed application to the RDCRN Grants Portal no later than close of business January 15, 2026. Late applications will not be accepted under any circumstances. MGNet Administrative Core personnel will perform initial review to assure all requirements for submission are fulfilled. Proposals will then undergo peer review by an NIH-style study section assembled by the MGNet Research Committee with final approval by the MGNet Funding Committee and the NIH. If you have any questions about the grants or the application process, please contact [email protected] . J-18808-Ljbffr

Founding AI Engineer (San Francisco)

ZeroEntropy is building the next-generation retrieval engine for AI systems. We’re rethinking search from the ground up: faster, more accurate, and built to serve as infrastructure for the next decade of AI. As a Founding AI Engineer, you’ll work across research and engineering to design, train, and optimize machine learning systems that push the limits of what’s possible in performance‑critical environments. This is a hands‑on role for someone who thrives in ambiguity, understands both the math and the machine, and wants to build core technology, not just use it. You’ll join an early, elite team where your ideas will directly shape the product and architecture. This job is for you if: You’ve trained and deployed large models in production and debugged the weird edge cases. You’ve implemented research papers from scratch and made them faster, cleaner, and more accurate. You care as much about the quality of the data pipeline as the model itself. You’re comfortable designing experiments, interpreting noisy graphs, and making decisions under uncertainty. You love making beautiful, clean, type‑safe code, with the goal of pure functional programming using algebraic data types, and can drop down to C++/CUDA when performance demands it. You understand distributed systems and what it takes to scale training and inference pipelines in the real world. You want to build a system from the ground up with minimal abstraction and maximum control. Requirements: Deep experience with ML frameworks, experiment tracking, and distributed training. Strong foundation in math and CS fundamentals: linear algebra, probability, optimization, algorithms, data structures, and time complexity. Experience building and scaling robust data and training pipelines. Proficient in Python, with bonus points for C++, Rust, CUDA, or other performance‑oriented tools. Comfortable with Linux, containers, and working close to the metal when needed. Bonus: Experience with model compression, quantization, or inference optimization. Background in information retrieval, NLP, or LLM internals. Familiarity with type‑safe functional programming languages (e.g. OCaml, Haskell, SML). About the role Based in San Francisco or willing to move there. Very competitive compensation, equity, and benefits. Next Steps: In a quick sentence, write the most impressive thing you've ever done—feel free to brag! Sign up at https://dashboard.zeroentropy.dev/, and let us know how you would build this API from scratch in detail. We are not looking for GPT answers, we are looking for thoughtful responses on how you would build a state‑of‑the‑art search engine to understand how you think and problem solve. Submit your response along with your resume as a PDF when applying. J-18808-Ljbffr