Product engineer jobs in La Mesa, CA - 824 jobs

A leading engineering firm is seeking an Opto-Mechanical Engineering Manager in San Diego to lead a team in opto-mechanical design development and provide technical leadership. The ideal candidate will have 10+ years of experience and a strong background in mechanical engineering and team management. Compensation ranges from $126,070 to $205,997, with comprehensive benefits including performance bonuses and a 401k plan. #J-18808-Ljbffr

Introduction to the role As a Principal Mechanical Engineer - Research, you help shape the next generation of lithography technology that powers the world's most advanced microchips. Your work supports ASML's mission to push the boundaries of physics, engineering, and manufacturing. You contribute to systems that enable smaller, faster, and more energy‑efficient devices used every day in homes, hospitals, cars, and communication networks. Role and responsibilities In this role, you guide the mechanical design and research activities for complex subsystems within our light‑source technology. You work with engineers, scientists, suppliers, and cross‑functional partners to bring new concepts to life. You balance design rigor, feasibility, and quality while supporting long‑term technical innovation. Lead mechanical research and design efforts for advanced subsystems. Develop concepts, detailed designs, and layouts for new or improved modules. Perform structural, thermal, and vibration analyses to validate design performance. Drive prototype development, testing, data analysis, and reporting. Conduct tolerance analyses for systems and subassemblies. Collaborate with internal teams and suppliers to resolve technical issues. Mentor engineers and present technical insights to diverse audiences. Education and experience Bachelor's degree in mechanical engineering with at least 12 years of relevant experience, or a master's degree with 10 years, or a PhD with equivalent experience. Apply strong mechanical design expertise across complex parts, assemblies, and subsystems. Perform and review tolerance analyses at system and subsystem levels. Use solid modeling tools such as Siemens NX or similar platforms. Create and review technical drawings using geometric dimensioning and tolerancing. Work confidently with PLM and ERP tools, including Siemens Teamcenter. Conduct finite‑element analysis using software such as Ansys or NX, supported by hand calculations. Demonstrate extensive experience in one or more of the following areas: opto‑mechanical systems, thermal systems, high‑pressure systems, vacuum systems, laser systems or electromechanical designs. Apply knowledge of engineering materials, including metals and specialty materials, with attention to manufacturability and weldability. Use design‑for‑manufacturing principles for advanced machining and fabrication processes. Communicate effectively with cross‑functional partners and manage multiple priorities in fast‑moving environments. Skills Working at the cutting edge of tech, you'll always have new challenges and new problems to solve - and working together is the only way to do that. You won't work in a silo. Instead, you'll be part of a creative, dynamic work environment where you'll collaborate with supportive colleagues. There is always space for creative and unique points of view. You'll have the flexibility and trust to choose how best to tackle tasks and solve problems. To thrive in this job, you'll need the following skills: Communicate clearly with colleagues at all experience levels. Approach problems with an analytical and structured mindset. Work collaboratively with multidisciplinary teams. Prioritize effectively in changing environments. Demonstrate ownership and follow‑through on commitments. Identify issues early and propose improvements. Mentor junior engineers with patience and clarity. Apply strong attention to detail and accuracy. Adapt quickly when learning new methods or tools. Build positive working relationships across teams and suppliers. Other information The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee routinely is required to sit; walk; talk and hear; use hands to keyboard, finger, handle, and feel; stoop, kneel, crouch, twist, crawl, reach, and stretch. The employee is occasionally required to move around the campus. Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus. The employee may occasionally lift and/or move up to 20 pounds. Will require travel dependent on business needs. Can work under deadlines. The environment generally is moderate in temperature and noise level. Must be able to read and interpret data, information, and documents. Can observe and respond to people and situations and interact with others encountered in the course of work. Can learn and apply new information or skills. The current base annual salary range for this role is currently: $148,125-222,188 Pay scales are determined by role, level, location and alignment with market data. Individual pay is determined through interviews and an assessment of several factors that that are unique to each candidate, including but not limited to job‑related skills, relevant education and experience, certifications, abilities of the candidate and pay relative to other team members. The Company offers employees and their families, medical, dental, vision, and basic life insurance. Employees are able to participate in the Company's 401k plan. Employees will also receive eight (8) hours of vacation leave every month and (13) paid holidays throughout the calendar year. For more information, please contact the Recruiter or Compensation & Benefits in the US. All new ASML jobs have a minimum application deadline of 10 days. This position requires access to controlled technology, as defined in the United States Export Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require ASML to proceed with candidates who are immediately eligible to access controlled technology. Inclusion and diversity ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company. Need to know more about applying for a job at ASML? Read our frequently asked questions. Request an Accommodation ASML provides reasonable accommodations to applicants for ASML employment and ASML employees with disabilities. An accommodation is a change in work rules, facilities, or conditions which enable an individual with a disability to apply for a job, perform the essential functions of a job, and/or enjoy equal access to the benefits and privileges of employment. If you are in need of an accommodation to complete an application, participate in an interview, or otherwise participate in the employee pre‑selection process, please send an email to USHR_Accommodation@asml.com to initiate the company's reasonable accommodation process. Please note: This email address is solely intended to provide a method for applicants to initiate ASML's process to request accommodation(s). Any recruitment questions should be directed to the designated Talent Acquisition member for the position. #J-18808-Ljbffr

Salary Range: $87,000-125,000 annually (Final offer based on experience, education, skills, and market factors) Why Kyocera? With nearly 80,000 employees worldwide, Kyocera is a global leader in advanced ceramic technologies used in aerospace, automotive, medical, and semiconductor industries. Our materials power everything from smartphones to space shuttles - and we're just getting started. What Makes Us Stand Out? We don't just offer jobs - we offer careers with purpose, stability, and growth. Here's what you can expect: Generous Time Off 3 weeks of vacation to start (120 hours/year) 10 paid holidays annually Competitive pay 401(k) with company match Medical, dental, and vision insurance Life insurance Flexible Spending Account (FSA) Employee Assistance Program (EAP) Investing in You Paid time off to volunteer Work-Life Balance & Culture On-site gyms, walking tracks, and employee gardens at larger locations Long-tenured team (many with 30+ years of service!) Inclusive and diverse workforce A company philosophy rooted in doing the right thing as a human being Our Philosophy Kyocera's culture is deeply inspired by our founder, Dr. Kazuo Inamori. His values guide our decisions and shape our workplace. Learn more about our guiding principles here: Kyocera Philosophy Ready to Make a Difference? Apply today and become part of a team that's shaping the future - one innovation at a time. Exempt: Yes Safety Sensitive: No GENERAL DESCRIPTION OF POSITION A Senior Design Engineer performs complex activities in the design, layout, testing and evaluation of technical products. Acts as a technical liaison providing troubleshooting and technical support for projects related to the development of new products and designs. As an experienced professional, this person provides updates with a full understanding of area of specialization; resolves a wide range of issues in creative ways and works through problems of diverse scope where analysis of data requires evaluation of identifiable factors. REQUIREMENTS BS degree in engineering design 5+ years of experience in mechanical design Proficiency in AutoCAD, Mechanical Desktop, Inventor, Pro Engineer, Solid Works In-depth knowledge of design engineering, geometric tolerances, packaging design, and tool preparation Experience with Kyocera's proprietary methodologies and products preferred Advanced understanding of customer and suppliers' processing Excellent written and verbal communication skills for interfacing with outside vendors and delivering presentations to internal and external customers Eligible to work in an ITAR environment ESSENTIAL DUTIES AND RESPONSIBILITIES Performs complex product development activities including drawing, board layout, and interpretation and implementation of customer specifications and documentation requirements. Provides existing product line support in design activities and/or modification of hardware in production. Conducts engineering studies and may assign work to technical drafting staff. Communicates with production and sales engineers concerning product design and tooling to ensure efficient production methods. Develops new designs that are cost effective and meet timeline requirements. Provides leadership in implementing changes to eliminate packaging-related failures. Provides regular status reports on packaging development projects and process improvement activities. Evaluates, recommends, and implements process improvements for packaging methods with lean manufacturing principles. Generates own specific goals and prioritizes workload so those actions are aligned with department goals. Responsible for providing guidance and training to lower-level engineers and designers and checking/approving their work. Perform any other related duties as required or assigned. QUALIFICATIONS To perform this job successfully, an individual must be able to perform each essential duty mentioned satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. PHYSICAL ACTIVITIES The following physical activities described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions and expectations. While performing the functions of this job, the employee is continuously required to talk or hear; regularly required to stand, walk, sit; occasionally required to use hands to finger, handle, or feel. The employee must occasionally lift and/or move up to 10 pounds, occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, color vision, and depth perception. ENVIRONMENTAL CONDITIONS The following work environment characteristics described here are representative of those an employee encounters while performing essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the functions of this job, the employee is frequently exposed to work near moving mechanical parts. The noise level in the work environment is usually moderate. ADDITIONAL INFORMATION The above statements are intended to describe the work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required. The duties and responsibilities of this position are subject to change and other duties may be assigned or removed at any time. This position may require exposure to information subject to US Export Control regulations, i.e.: the International Traffic and Arms Regulations (ITAR) or Export Administration Regulations (EAR). All applicants must be US persons within the meaning of US regulations. Kyocera International, Inc. values diversity in its workforce, and is proud to be an AAP/EEO employer. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Kyocera International, Inc. Human Resources team directly. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor. #J-18808-Ljbffr

Job Description: Mechanical Engineer (Mechanical Drafter | Mechanical Engineer | Senior Mechanical Engineer) We are seeking skilled and motivated Mechanical professionals across multiple experience levels to join our team in the building industry. This opportunity is open to candidates ranging from entry-level drafters to experienced and senior mechanical engineers specializing in building systems. The ideal candidate will possess a strong understanding of mechanical engineering principles as applied to building systems, with experience or interest in HVAC, energy efficiency, and coordination within multidisciplinary MEP teams. A solid working knowledge of California regulations, including the California Building Code and California Mechanical Code, is essential for engineering-level roles. Proficiency in Revit and BIM software is a critical component of this position. Responsibilities and level of responsibility will be aligned with the candidate's experience, skill set, and licensure. Responsibilities: Mechanical Design & Documentation Assist with or lead the design and development of mechanical systems for building projects, including HVAC and related systems. Prepare mechanical layouts, schematics, and construction documents utilizing AutoCAD and Revit/BIM software. Ensure compliance with California regulations, codes, and applicable industry standards. Perform or support engineering calculations, system sizing, and performance analysis, as applicable to role level. Coordination & Project Support Coordinate mechanical systems with architectural, structural, electrical, and plumbing disciplines. Participate in design coordination meetings and internal project reviews. Support project execution through document coordination, quality control, and timely delivery of assigned tasks. Engineering Leadership (Mid- to Senior-Level) Provide technical guidance and mentorship to junior staff. Review mechanical drawings and calculations for completeness, accuracy, and constructability. Participate in client communications and respond to technical inquiries. Support project management efforts related to scope, schedules, and deliverables. Professional Development Stay current with industry trends, code updates, and advancements in mechanical engineering and building systems. Identify opportunities to improve efficiency, sustainability, and overall design quality. Requirements: Mechanical Drafter / Junior Level Associate's or Bachelor's degree (or ongoing coursework) in Mechanical Engineering or a related field, or equivalent professional experience. Proficiency in AutoCAD; Revit experience preferred. Understanding of mechanical building systems and construction documentation. Strong attention to detail and ability to work collaboratively in a team environment. Mechanical Engineer Bachelor's degree in Mechanical Engineering or a related field. Experience in mechanical design for building systems. Working knowledge of the California Building Code and California Mechanical Code. Proficiency in AutoCAD and Revit/BIM. Strong analytical, organizational, and problem-solving skills. Senior Mechanical Engineer Extensive experience in mechanical engineering within the building industry. Strong knowledge of California codes and jurisdictional requirements. Ability to lead projects, coordinate across disciplines, and mentor junior staff. Professional Engineering (PE) licensure in California preferred but not required. Experience with sustainable design practices and energy efficiency is a plus. Compensation & Benefits: Compensation is dependent on the facts and circumstances of each case. Factors considered include experience level, technical expertise, licensure, certifications, and business needs. We offer a competitive benefits package including: A competitive salary. Medical coverage reimbursement Personal time off (PTO) Paid company holiday. Flexibility with work schedule. Employee Assistance Program If you are a Mechanical professional with a passion for building systems and a desire to grow within an MEP engineering firm, we invite you to apply and join the 120 Degreez team. Other Information: 120 Degreez is an equal opportunity employer committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on any legally protected characteristic. This policy applies to all employment practices, including hiring, promotion, compensation, benefits, training, and termination. Hiring decisions are based solely on qualifications, merit, and business needs at the time.

Our Mission Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life. For more information, see our website at altoslabs.com. Our Value Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission. Diversity at Altos We believe that diverse perspectives are foundational to scientific innovation and inquiry. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment. What You Will Contribute To Altos As a Machine Learning Engineer, you will play a prominent role in developing generative AI/ML models for multi-modal, multi scale biology. We are looking for a hands‑on, senior level creative and collaborative person to join our multidisciplinary team of scientists and engineers focused on transforming how we treat aging and disease. The successful candidate will thrive in a fast‑paced environment that emphasizes teamwork, transparency, scientific excellence, originality, rigor, and integrity. Responsibilities Partner with world‑class scientists across Altos to help generate biological insights with the goal of developing novel therapies; Design and implement large‑scale machine learning algorithms and systems applied to biological datasets; Train, evaluate, and optimize machine learning models at scale; Communicate effectively with internal and external collaborators to meet ambitious research and development goals. Who You Are Proven track record leveraging machine learning to solve real‑world problems; Expertise in one or more of the following: generative models, language models, computer vision, bayesian inference, causal reasoning & inference, transfer & multi‑task learning, diffusion models, graph neural networks, active learning; Experience writing production‑quality code with modern machine learning frameworks such as PyTorch, TensorFlow, JAX, or similar; Experience with multi‑GPU and distributed training at scale; A team player who thrives in collaborative environments and is committed to enabling colleagues to reach their full potential; Growth mindset - the desire to constantly expand your skillset and knowledge. Keen to learn more about biology, computational science, and medicine; Excitement about the Altos mission of restoring cell health and resilience to reverse disease, injury, and age‑related disabilities. Minimum Qualifications Masters or Ph.D. degree in a quantitative/computational field such as computer science, artificial intelligence, mathematics, statistics, physics, or computational biology, or equivalent experience; 8+ years experience in developing machine learning models; Very strong programming skills, including experience with Python and deep learning libraries such as PyTorch or JAX; Experience in large‑scale distributed optimization of machine learning models across multiple GPUs and nodes. Preferred Qualifications Familiarity with biological data formats, concepts, and computational models; Experience in cell health and rejuvenation‑related research area; Experience with identification and assessment of drug targets and/or therapeutic compounds; Experience in the application of machine learning methods to biological data, including genomics, transcriptomics, epigenetics, proteomics, and imaging; Track record in open‑source software development, e.g., demonstrated by high‑impact GitHub repository; Track record of high‑caliber scientific work, e.g., demonstrated through publications in peer‑reviewed scientific journals or major ML conferences; Experience with one lower level language (e.g., C++, Rust); Experience with large scale data processing and database tools such as MapReduce, Dask, SQL, Hugging Face Datasets, TileDB, Ray. The salary range Senior Machine Learning Engineer: $200,600 - $271,400 (Redwood City, CA) Staff Machine Learning Engineer: $232,900 - $315,100 (Redwood City, CA) Senior Machine Learning Engineer: $186,150 - $251,850 (San Diego, CA) Staff Machine Learning Engineer: $221,000 - $299,000 (San Diego, CA) Exact compensation may vary based on skills, experience, and location. Important Information for UK Applicants Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice). The Privacy Notice is not a contract and does not set terms or conditions of employment. We Want You To Know We are a culture of collaboration and scientific excellence, and we believe in the values of inclusion and belonging to inspire innovation. Equal Employment Opportunity Altos Labs 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. Vaccination Policy Altos currently requires all employees to be fully vaccinated against COVID-19, subject to legally required exemptions (e.g., due to a medical condition or sincerely‑held religious belief). EEO Statement Altos Labs complies with the law and is not required to provide statements except as required by statute. All positions at Altos are open to qualified individuals with a high level of academic prowess and candidness. Altos Labs welcomes diverse backgrounds. #J-18808-Ljbffr

Senior PLL Design Engineer San Diego, CA (onsite/hybrid) US Citizen or US Permanent Resident (preferred) Full-Time + Health Benefits + 401K Plan + PTO + Founder Shares Requirements: • High-speed time-interleaved ADCs (SAR, pipeline, TDC, etc.), RF front-end design, SerDes, miscellaneous functions (other data converters, filters, amplifiers, PLLs, power management, oscillators, etc.) in FinFET technologies. • MS with 5+ years or PhD with 3+ years of experience preferred. • Strong PLL and clock distribution experience is preferred #J-18808-Ljbffr

A leading semiconductor firm in San Diego is seeking a Senior R&D Engineer responsible for developing and improving products and technologies. The ideal candidate will have a Master's degree in engineering, extensive experience in product development, and expertise in C/C++, Python, and machine learning frameworks. This role involves collaboration across teams, mentoring junior engineers, and contributing to hardware acceleration projects. Competitive salary and full-time hours offered. #J-18808-Ljbffr

The (Senior) Project Engineer provides technical support to and under the direction of the Project Manager and Superintendent. A Project Engineer's primary obligation is project document control; additionally, the Project Engineer should gain competence in project administration, cost control, and scheduling tasks. Education & Experience Basic understanding of project document control, enterprise software applications, cost control procedures, and budget/commitment differentiation. Educational and experience requirements: 4-year engineering or business degree or equivalent‑related experience, plus experience and knowledge of construction and design. Senior Project Engineer: additionally, 3+ years of prior experience and knowledge of construction and design. Only applicants with current authorization to work in the United States will be considered. Salary and Compensation Salary: see above Eligible for end-of-year discretionary bonus based on company and individual performance Excellent benefits package About the Company The company provides General Contracting and complete Project Planning and Management services through multiple locations in California. They are a leader in their field and are consistently rated among the nation's safest builders. This company offers competitive compensation, excellent benefits and they take great care of their employees - which, in return, makes employees stay with the company for decades. All applications are treated confidentially and we will not present your resume to any of our clients before having discussed a position and company with you in detail and obtained your permission to present you to our client(s). #J-18808-Ljbffr

pSemi Corporation is a Murata company driving semiconductor integration. pSemi builds on Peregrine Semiconductor's 30‑year legacy of technology advancements and strong IP portfolio but with a new mission-to enhance Murata's world‑class capabilities with high‑performance semiconductors. With a strong foundation in RF integration, pSemi's product portfolio now spans power management, connected sensors, optical transceivers, antenna tuning and RF frontends. These intelligent and efficient semiconductors enable advanced modules for smartphones, base stations, personal computers, electric vehicles, data centers, IoT devices and healthcare. From headquarters in San Diego and offices around the world, pSemi's team explores new ways to make electronics for the connected world smaller, thinner, faster and better. Job Summary We are seeking an experienced Senior Staff Engineer to lead pSemi's internal prototyping assembly laboratory. The laboratory operates in a very high‑mix low‑volume environment and supports the assembly of R&D prototypes, reliability test samples and engineering samples shipped to customers for testing. The role requires expertise in the assembly processes required for fully packaged, single die flip‑chip LGA, multi‑chip modules (MCM) and System‑in‑Package devices. Assembly processing includes paste / flux screen printing for SMT components, SMT pick‑and‑place, flip‑chip attach, mass re‑flow, underfill dispense, potting or encapsulation via dam & fill, laser marking and package singulation. The ideal candidate will have extensive hands‑on experience with automated semiconductor assembly equipment such as paste / flux printers, SMT pick‑and‑place, plasma clean, underfill / potting compound dispensers, plasma cleaner, laser markers and saw singulation equipment. The candidate should also be knowledgeable of the different semiconductor industry standards based on IPC, JEDEC, MIL spec, EIA and SMTA, as well as expertise in product qualification, process development, and team leadership. In addition, the candidate should be aware of developments in assembly and packaging technologies like WLFO, CoWos, etc. Key Responsibilities Cross‑Functional Leadership: Guide cross‑functional teams in making critical packaging mechanical decisions throughout the product development stages. Process Development & Risk Mitigation: Define and develop manufacturing processes by performing detailed design analysis (tolerance analysis, RMS, FMEA, etc.) and guiding risk assessments. Design Documentation & Oversight: Coordinate preparation of design documentation, BOM, and assembly process flows, ensuring all aspects meet technical specifications and quality standards. Team Mentorship: Mentor junior engineers and lead technical development efforts across packaging and assembly disciplines. Failure Analysis & Problem Resolution: Root cause analysis and resolution of issues during both the development and production phases. Minimum Qualifications (Experience and Skills) Education: Bachelor's degree in Engineering (Mechanical, Electrical, Packaging, Materials, or Chemical), Physics, or Chemistry. MS preferred. Experience: At least 12 years in electronics packaging, including 5 years of hands‑on experience in the assembly of LGA, MCM and SiP‑specific assembly processes and packaging‑related technologies. Document Management systems: experience working with document management systems, e.g. Agile, the ECO process and Product Life Cycle management. Process Documentation: Ability to document the assembly process flow via standard process descriptions, detailed work instructions, quality specifications based on JEDEC & MIL standards. Design & Development Tools: Proficient with design tools such as AutoCAD, Cadence Allegro, CAM350 or similar. Hands‑on experience with Solidworks for basic 3D model generation. Experience setting up and overseeing operation of a semiconductor proto‑assembly lab for quick‑turn customer sampling. Packaging Knowledge: In‑depth understanding of microelectronic packaging technologies, including flip‑chip bumping, wafer backend processing and SMT. Cross‑Functional Team Leadership: Experience leading cross‑functional teams in a fast‑paced, deadline‑driven environment. Process & Risk Management: Ability to assess design feasibility, conduct cost‑risk analysis and mitigate technical risks during NPI product development. Preferred Qualifications RF Product Design: Experience with the design and packaging of RF products. Statistical Analysis Tools: Familiarity with statistical software or tools for analysis. Automated Task Management: Experience with Excel macros or automation for process optimization, Jira for task management. LGA Package Assembly: Knowledge of the assembly process flow and quality requirements per industry standards. Ability to continuously improve the assembly process flow based on concepts of DfM, DfR and similar. PCB Fabrication: Understanding of PCB fabrication and design processes. Package Reliability & Quality Assurance: Knowledge of semiconductor quality and reliability standards and failure modes. Education Requirements Bachelor's in Engineering (Packaging, Electrical, Mechanical, Materials or Chemical), Physics or Chemistry; MS preferred. Work Environment This job operates in a professional office environment. This role routinely uses standard office equipment. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to stand, walk, use hands to finger, handle or feel and reach with hands and arms. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus. This position requires the ability to occasionally lift office products and supplies, up to 20 pounds. Compensation USD $172,201.96 - $223,874.95 per year EEO Statement pSemi Corporation supports a diverse workforce and is committed to a policy of equal employment opportunity for applicants and employees. pSemi does not discriminate on the basis of age, race, color, religion (including religious dress and grooming practices), sex/gender (including pregnancy, childbirth, or related medical conditions or breastfeeding), gender identity, gender expression, genetic information, national origin (including language use restrictions and possession of a driver's license issued under Vehicle Code section 12801.9), ancestry, physical or mental disability, legally‑protected medical condition, military or veteran status (including “protected veterans” under applicable affirmative action laws), marital status, sexual orientation, or any other basis protected by local, state or federal laws applicable to the Company. pSemi also prohibits discrimination based on the perception that an employee or applicant has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics. Trademarks and Patents Note: The Peregrine Semiconductor name, Peregrine Semiconductor logo and UltraCMOS are registered trademarks and the pSemi name, pSemi logo, HaRP and DuNE are trademarks of pSemi Corporation in the U.S. and other countries. All other trademarks are the property of their respective companies. pSemi products are protected under one or more of the following U.S. Patents: ************************ #J-18808-Ljbffr

The Marlin Alliance, Inc. is continuously seeking talented candidates to join our elite team of Business Transformation professionals. Qualified candidates are highly encouraged to apply to our current and prospective openings listed below. Professionals who do not match our current vacancies may apply to the " General Interest " requisition to be considered for future opportunities. The Marlin Alliance, Inc. is seeking a Senior Machine Learning Engineer to design, develop, and implement advanced machine learning models and algorithms in support of naval applications. This role requires deep technical expertise in modern machine learning methods, distributed systems, cloud-native development, and software engineering best practices. The Senior ML Engineer will collaborate with multidisciplinary teams to deliver mission-focused AI solutions that integrate into operational Navy environments. Established in 2002, The Marlin Alliance is seeking to hire highly skilled individuals to support mission critical projects within the Navy. We are looking for motivated individuals to lead and support digital transformation, data science and analytics, and automation projects for variety of Navy clients. Individuals must be able to function in a fast-paced work environment and able to adapt quickly to rapidly changing requirements and technologies. Using your comprehensive knowledge of various technologies, you will design, develop, and implement solutions to support Navy mission owners in their digital transformation journey. Citizenship and Clearance requirements: US Citizenship Active TS SCI security clearance Location: Hybrid - based in San Diego, CA Responsibilities: Design, develop, and implement machine learning models and algorithms for naval applications. Develop and deploy algorithms, mathematical models, and machine learning models into real-world operational environments. Perform data preprocessing, feature engineering, model evaluation, and validation. Collaborate with engineers, data scientists, and mission stakeholders to align ML solutions with operational requirements. Develop cloud-native ML pipelines using AWS, Azure, Docker, Kubernetes, or equivalent platforms. Implement ML solutions using frameworks such as TensorFlow, PyTorch, and scikit-learn. Contribute to distributed computing and parallel processing approaches to optimize ML model performance. Participate in CI/CD pipeline development, automation, and DevSecOps workflows. Apply cybersecurity principles in the design and deployment of machine learning systems. Provide documentation, technical reports, and engineering artifacts consistent with PMAT and government standards. Stay current with advancements in machine learning, data science, and emerging technologies relevant to naval and DoD applications. Required Skills and Experience: At least 10 years of experience as a data scientist, data engineer, geospatial engineer, machine learning engineer, or software engineer. Proven experience developing and deploying algorithms, mathematical models, or machine learning models in real-world applications. Strong programming skills in Python. Familiarity with cloud platforms (e.g., AWS, Azure) or containerization technologies (e.g., Docker, Kubernetes). Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Strong programming skills in Java, C++, Go, or Rust. Experience with distributed computing and parallel processing. Experience with CI/CD pipelines and automation tools (GitHub Actions, GitLab CI, Jenkins). Strong analytical, problem-solving, and communication skills. Ability to work effectively in a collaborative team environment. Previous experience supporting government agencies or military organizations. Preferred Skills and Experience: Experience with cloud-native architecture and software API design. Experience integrating machine learning into operational DoD systems or edge computing environments. Familiarity with DoD AI strategies, MLOps, or data engineering in secure environments. Experience supporting NAVWAR, NIWC Pacific, or other Navy C2/ISR programs. Education and Certification Requirements: Bachelor of Science degree in Artificial Intelligence, Data Science, Computer Science, Machine Learning, or Statistics. Advanced degrees (MS/PhD) in related fields are preferred but not required. Additional certifications in cloud, cybersecurity, AI/ML, or DevSecOps are a plus if required by contract. Job Classification: Associate II $110,000 - $180,000 Disclaimer: This job description in no way states or implies that these are the only duties to be performed by the employee(s) incumbent in this position. Employees will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the incumbents will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an “at-will” relationship. An Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities #J-18808-Ljbffr

Cannon Building, a premier general contractor in the life sciences, healthcare, commercial/institutional, and industrial sectors, is seeking a seasoned Senior Project Manager to lead and deliver complex life science construction projects in the San Diego region. This role is critical for managing project timelines, budgets, and quality, ensuring client satisfaction while aligning with our mission of delivering excellence across all project phases. The ideal candidate has deep technical expertise in life science facility construction, regulatory compliance knowledge, and extensive risk management experience. Reporting to the Project Operations Manager, this position also requires strong leadership abilities to mentor team members and foster collaboration among stakeholders. Core Competencies Technical Expertise: Deep knowledge of construction processes specific to life sciences facilities (e.g., labs, pharmaceutical plants, cleanrooms). Familiarity with industry standards like Good Manufacturing Practices (GMP) and Good Laboratory Practices (GLP), and technical systems such as specialized HVAC systems and lab utilities. Regulatory Compliance: In-depth understanding of life sciences regulatory requirements (FDA, OSHA, ISO), particularly Environmental Health and Safety (EHS) standards for life science facilities. Proven ability to manage compliance in cleanrooms, labs, and containment areas. Risk Management: Skilled in conducting detailed risk assessments for life sciences projects, with experience in biosafety and environmental standards. Proficient in creating and executing contingency plans for risk mitigation. Contract and Vendor Management: Proficient in vendor selection, contract negotiations, and supply chain management, with the ability to mitigate risks related to vendor performance and contract terms. Technical Software Skills: Proficiency in Building Information Modeling (BIM) for early risk identification and resolution during design phases. Responsibilities Project Planning and Coordination: Plan, coordinate, and manage project submittals and schedules to align with overall project construction. Prepare, monitor, and update the project schedule, coordinating with the Superintendent's schedules and documenting delays. Establish and integrate material delivery schedules. Financial Management: Participate in the end-of-month financial reviews, assessing the budget and reporting the project's completion status. Verify owner/client and subcontractor billings, managing account receivables. Leadership and Communication: Provide leadership through effective communication with owners/clients, architects, consultants, and the project team, fostering teamwork among all stakeholders. Organize and lead project meetings, prepare minutes and ensure all parties understand and fulfill their obligations. Contract and Compliance Management Knowledge: Ensure compliance with general conditions and contract requirements, monitoring contract documents for conformance and execution. Negotiate subcontract and purchase order terms, oversee subcontract execution, and manage subcontractor claims. Deep understanding of life sciences regulatory standards (FDA, OSHA, Local regulatory agencies) and how non-compliance risks can impact construction projects. Experience with Environmental Health and Safety (EHS) standards specific to life sciences facilities, including cleanrooms, lab spaces, and containment areas. Familiarity with ISO standards applicable to life sciences facilities. Project Documentation and Systems: Utilize Procore to control project documentation and cost, overseeing the preparation and reporting of RFIs, submittals, inspections, safety reports, change orders, and related documents. Quality and Safety Assurance: Participate in Operations and Safety meetings, promoting and enforcing jobsite safety. Manage project closeout procedures, including monitoring punch list completion and preparing warranties and operations manuals. Travel Requirements: Travel may be required; the position is based out of the OC/LA region, with travel needed for jobs in that region as well as for meetings at our corporate location in Placentia or other areas as required. Qualifications and Requirements Educational Background: Four-year college degree/Bachelor of Science Degree preferred. Experience Requirement: Minimum of 5-10 Years of experience in Life Science. Technical Proficiency: Proficient computer skills in Microsoft Office Suite, project management software (Procore or similar), scheduling software (MS Project or similar) and BIM software (AutoCAD, Revit, Navisworks or similar). Must possess a solid understanding of construction design, technical equipment, and quality systems Extensive project management experience, ideally in life science/healthcare or related industries, with a track record of successfully managing large and complex projects from initiation to completion. Technical Expertise: Deep knowledge of construction processes for life science facilities (e.g., laboratories, pharmaceutical manufacturing plants, cleanrooms). Familiarity with life sciences industry standards, including Good Manufacturing Practices (GMP) and Good Laboratory Practices (GLP). Understanding of building systems specific to life sciences (e.g., HVAC for cleanrooms, lab design, specialized utilities). Technical Software Skills: Familiarity with Building Information Modeling (BIM) for identifying and addressing potential construction risks early in the design phase. Leadership Skills: Strong leadership skills with the ability to effectively manage and motivate teams, guide and mentor project managers, resolve conflicts, and promote a collaborative work environment. Strategic thinking and informed decision-making skills, with the ability to analyze project requirements, assess risks, and develop effective strategies to meet project goals. Proactive problem-solving approach. Excellent Written and Communication Skills: Candidate must possess excellent written and verbal communication skills, enabling effective interaction with clients, stakeholders, senior executives, and team members. Strong presentation and negotiations skills to manage client expectations, resolve conflicts, and influence project outcomes. Financial Management: Advanced skills in budgeting, financial management, and cost control, including developing and monitoring project budgets, tracking expenses, and ensuring financial objectives are met. Experience in managing project contracts and subcontractors. Contract and Vendor Risk Management: Proficiency in assessing and mitigating risks associated with vendor selection, subcontractor performance, and supply chain reliability. Experience in negotiating contract terms to manage risk exposure, including clear definitions of scope, liability, timelines, and performance guarantees. Risk Management: Deep understanding of risk management principles and techniques, including identifying potential risks, developing risk management strategies, and implementing mitigation plans to minimize project disruptions. Competence in creating risk assessments specifically for life sciences construction, including compliance with biosafety and environmental health standards. Skilled in identifying and managing construction-related risks and contingency planning. Construction Risk Assessment and Mitigation: Comprehensive Risk Analysis: Expertise in assessing risks across all construction phases, including design, planning, procurement, and construction. Mitigation Planning: Proficiency in creating detailed mitigation strategies for potential issues such as budget overruns, scheduling delays, and quality control challenges. Contingency Planning: Developing and implementing contingency plans for critical project risks, ensuring rapid response to unforeseen changes. Quality Assurance: Strong focus on quality control and assurance, ensuring compliance with relevant codes, standards, and specifications. Experience in conducting quality audits and implementing quality control measures. Client Management: Ability to understand client needs, address concerns, and foster long-term partnerships. Involvement in business development activities such as proposal writing, client presentations, and identifying new opportunities. Who We Are: Cannon Building is a leading Life Science, Commercial/Institutional, Healthcare, and Industrial builder, providing highly efficient, cost-effective construction solutions with a commitment to safety and an uncompromising standard of quality. Cannon Building is proud to be a family-owned business, celebrating its 30th year in operation. We empower our employees to take the lead in achieving their own, unique goals. Our company culture is one of teamwork, inclusiveness, growth, leadership and creativity. We respect and rely on one another for exceptional results. We promote an environment of collaboration, enjoy working together, and celebrate the success of our clients, knowing that customer success is the basis for our long-term success. To learn more about our work culture, visit our Company Website. Our Mission: To develop long-term working relationships by providing premier commercial construction services. Our Vision: To efficiently deliver quality projects with the highest level of customer satisfaction. Our Values: We are professional, ethical, innovative, and accountable. Seeking a flexible, detailed oriented team player with the ability to manage multiple tasks, produce quality work, and consistently meet deadlines. Experience in Life Sciences, Construction, or similar fields is beneficial. Compensation: Salary: $100k - $130k DOE Offers a competitive compensation package that includes a 401(k) plan with match: employee group dental, vision, life, and disability. Medical insurance, family dental and vision insurance, and supplemental life insurance available with reasonable employee contributions; paid holidays, vacation, and sick time.

Arm's Solutions group DFT team implements DFT for SOC for client, datacenter, automotive, and IOT line of business using the latest DFT and process technologies. We closely collaborate with Arm's partners and internal RTL, Verification, Physical Implementation, and Test engineering teams throughout the life cycle of a project, from an early investigation stage all the way through tape-out and silicon test/characterization on ATE. We are currently hiring across three locations: San Jose, Austin, and San Diego. Responsibilities Implement innovative DFT logic into SoC as well as sub-system level and validate all DFT features using industry standard simulation tools. Verify DFT logic in RTL and gate level simulations. Generate ATPG patterns and debug coverage issues to meet target. Collaborate with multi-functional teams to support DFT RTL level insertion, synthesis and scan insertion, place-and-route, and static-timing-analysis and timing closure. Participate in ATE targeted test patterns generation, validation and silicon- debug activities. Collaborate with Test and product engineering teams on silicon characterization and validation. Required Skills and Experience This role is for a Senior DFT Engineer with 7+ years of proven experience in Design for Test. Core DFT skills considered crucial for this position should include some of the following: Siemens DFT tools, Streaming Scan Network (SSN), Scan compression and insertion, Memory BIST and repair scheme implementation, Logic BIST, JTAG/IJTAG, at-speed test, ATPG, fault simulation, back-annotated gate level verification, silicon debug, memory and scan diagnostics. Experience coding Verilog RTL, TCL and/or Perl. Nice To Have Skills and Experience Familiarity with SoC style architectures including multi-clock domain and low power design practices. Familiarity with Arm IP like the following: Cortex CPUs, Mali GPUs, AMBA protocols, CoreLink interconnects, CoreSight debug. Background in high performance design, implementation and DFT timing constraints is a huge plus. Experience in datacenter chips is plus. Experience with 2.5D and 3D test. Ability to work both collaboratively on a team and independently. Innovative and a passion for progress. Hard-working and excellent time management skills with an ability to multi-task. An upbeat approach to working on exciting projects on the cutting edge of technology. Our 10x mindset guides how we engineer, collaborate, and grow. Understand what it means and how to reflect 10x in your work: ************************************** Salary Range $156,500-$211,700 per year We value people as individuals and our dedication is to reward people competitively and equitably for the work they do and the skills and experience they bring to Arm. Salary is only one component of Arm's offering. The total reward package will be shared with candidates during the recruitment and selection process. Accommodations At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Hybrid Working Arm's approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team's needs. Equal Opportunities Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don't discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. #J-18808-Ljbffr

The Project Engineer/Takeoffs Specialist supports project managers, estimators, and field teams by preparing accurate quantity takeoffs, assisting with project documentation, and coordinating technical aspects of construction projects. This role ensures plans are interpreted correctly, quantities are precise, and project information is organized and delivered on time. Key Responsibilities Perform detailed digital takeoffs for grading, paving, concrete, and site improvement scopes. Quantify materials including earthwork volumes, aggregate, asphalt, concrete, rebar, forms, and other related items. Review plans, specifications, addenda, and RFI responses for changes that impact quantities. Prepare drawings and sketches to support change orders and estimates to meet changing job requirements. Assist estimators with bid schedules, proposal preparation, and subcontractor/vendor quote comparison. Organize and update takeoff files to ensure traceability and accuracy. Work closely with Project Managers to assist with buyout, submittals, RFIs, schedules, and job startup documentation. Interface with all onsite departments to ensure quality completion, resolve problems and to support overall project schedule. Gather project essential date including quality take-offs, material price lists, labor costs per man hour, and equipment to ensure accurate estimates and bids. Research historical cost data and productivity to compile guidelines and precedence for future estimates. Develop knowledge of estimating process and build overall estimating skills. Document Control & Reporting Set up and maintain project documentation in company systems. Ensure all project documents-including permits, plans, and certifications-are current and properly distributed. Assist with producing as-builts and closeout documentation. Prepare reports, spreadsheets, and cost breakdowns as requested. Quality, Safety & Compliance Support compliance with project-specific requirements, prevailing wage, and public agency specifications. Participate in site walks, pre-construction meetings, and QA/QC reviews. Help ensure that all required materials, testing, and inspections are completed and documented. Required Skills & Qualifications Bachelor's degree in Construction Management, Civil Engineering, or related field; or equivalent industry experience. Strong understanding of grading, paving, and/or concrete construction. Proficiency with digital takeoff software (e.g.,QuickMeasure, Bluebeam, Agtek, Google Earth). Ability to read and interpret civil drawings, plans, and technical specifications. Solid Excel and general computer skills. Strong organizational skills and attention to detail. Effective communication and teamwork abilities. Preferred Qualifications 1-3 years of experience in heavy civil, grading, paving, or concrete construction. Experience with project management platforms (B2W, Primavera) Understanding of public works and Caltrans-type specifications. Work Environment Office-based position with periodic jobsite visits. Fast-paced environment with multiple concurrent deadlines What We Offer Competitive salary $60,000-$85,000 annually DOE Medical & Dental insurance with 100% employer paid premiums for employee and family. Voluntary Vision insurance Group Life and AD&D insurance Long-Term disability 401(k) retirement plan with 4% employer match Time off, including paid holidays, paid vacation time and paid sick time. Romero General Construction is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity or expression, national origin, ancestry, age, disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by federal, state, or local law. We are committed to maintaining a safe, respectful, and inclusive work environment on every job site. Applicants with disabilities who may need assistance or a reasonable accommodation during the hiring process are encouraged to contact us.

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, hardworking people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices strengthening our commitment to leave the world better than we found it. Join us to help deliver the next groundbreaking Apple product! In this visible role, you will be directly responsible for the physical implementation of design partition(s) (from netlist to tapeout) for a highly complex SOC utilizing innovative process technology. Description • Work with the logic design team to understand partition architecture and drive physical aspects early in the design cycle. • Complete netlist to GDS2 implementation for partition(s) meeting schedule and design goals. • Timing, physical and electrical verification, and driving the signoff closure for the partitions. • Resolve and improve design and flow issues related to physical design, identify potential solutions, and drive execution. Minimum Qualifications Minimum BS and 3+ years of relevant industry experience Experience with partition level P&R implementation. Experience with one or more of the following: floorplanning, clock and power distribution, timing closure, physical verification, electrical. Preferred Qualifications Ability to adhere to stringent schedule and die size requirements. Experience with large SOC designs (>20M gates) with frequencies in excess of 1GHZ. Experience with sub 10nm tech nodes. Experience with industry standard tools, understanding their capabilities and underlying algorithms. Experience with physical design construction and analysis flows and methodology. 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. Apple accepts applications to this posting on an ongoing basis. 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

Mission Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life. Value Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission. Diversity at Altos We believe that diverse perspectives are foundational to scientific innovation and inquiry. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment. What You Will Contribute to Altos Altos Labs is seeking a Machine Learning Engineer I/II who can accelerate and optimize our progress in developing foundation models for biology. This role is integral to our Computational Systems Modeling & Scaling team, working in a team of experienced ML and infrastructure engineers to deliver compelling internal frameworks, services, and expertise, and to train and deploy scalable, robust models. It will involve close collaboration with computational scientists from a diverse range of disciplines, including molecular modeling, computational biology, discrete simulation, machine learning, and artificial intelligence. Responsibilities Training, evaluating, and optimizing large‑scale machine learning systems including data transformation pipelines, feature stores, distributed training, architecture optimization, model management & serving, etc. Building, deploying, and managing systems to accelerate large-scale machine learning workflows in an integrated, usable framework Understanding user needs across a wide range of scientific disciplines, and communicating with users to build systems that they can use productively Developing reliable, scalable, performant systems in a cloud environment Employing maintainable, scalable, and reusable software engineering techniques Demonstrating best practices around development tools, CI/CD, and other methods to improve code quality and efficiency. Who You Are Minimum Qualifications M.S. or Ph.D. in Computer Science, or related quantitative field, or equivalent technical experience Candidates should have 1-4 years of relevant industry and/or academic experience Experience with large-scale machine learning tools and infrastructure Experience applying software engineering practices in a scientific environment, collaborating with cross‑functional teams Strong written and verbal communication skills Preferred Qualifications Familiarity with biological data formats, concepts, and computational models is a plus. Salary Range: San Francisco Bay Area, CA Machine Learning Engineer I: $153,000 - $207,000 Machine Learning Engineer II: $178,500 - $241,500 Salary Range: San Diego, CA Machine Learning Engineer I: $150,450 - $203,550 Machine Learning Engineer II: $170,000 - $230,000 Exact compensation may vary based on skills, experience, and location. For UK Applicants Please click here to read the Altos Labs EU and UK Applicant Privacy Notice. This Privacy Notice is not a contract, express or implied, and it does not set terms or conditions of employment. What We Want You To Know We are a culture of collaboration and scientific excellence, and we believe in the values of inclusion and belonging to inspire innovation. Equal Employment Opportunity Altos Labs 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. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. COVID‑19 Vaccination Altos currently requires all employees to be fully vaccinated against COVID‑19, subject to legally required exemptions (e.g., due to a medical condition or sincerely‑held religious belief). Thank You Thank you for your interest in Altos Labs where we strive for a culture of scientific excellence, learning, and belonging. Note about Job Scam Altos Labs will not ask you to download a messaging app for an interview or outlay your own money to get started as an employee. If this sounds like your interaction with people claiming to be with Altos, it is not legitimate and has nothing to do with Altos. Learn more about a common job scam at **************************************************************************** #J-18808-Ljbffr

Job Code/ Grade (for R&D only) S1 Department & Sub-department/ Team name R&D Reports to R&D Engineering Manager This role has no direct reports Travel Requirements No Purpose As a Senior R&D Engineer, you are responsible for developing and improving our products and technologies. You are recognized by other team members to be able to identify and suggest solutions to difficult technical problems. Main Responsibilities / Key Tasks Develop and improve our products and technologies Develop compiler component that translates tensor flow to hardware accelerator machine code. Develop scripts for accessing data sets and training models. Develop scripts to analyze performance metrics including accuracy, precision. Analyze models and create the transformations necessary to accelerate on hardware. Collaborate across teams and business units to integrate hardware acceleration and maximize end-use uptake. Collaborate and be recognized as a technical expert in other departments to identify and solve technical problems. Investigate and gain technical knowledge in potential adjacent technologies. Participate and lead in scheduled project reviews. Contribute to continuous improvement initiatives to improve product quality. Mentor and coach junior engineers to help them develop their skills. Analyze various machine learning models, identifying, and creating the necessary transformations to optimize them for hardware acceleration. Perform profiling and tuning of machine learning models on specialized hardware. Develop and debug hardware accelerator toolchains, compilers, and related software. Education level and subject Master's degree in engineering or related field and at least 3 years of experience in product development, prototyping, testing and optimization. Technical skillset required C/C++ and Python Bash scripting for automation on Linux and Windows Zephyr OS and RTOS Systems Docker, containerization, and deployment tools Neural network frameworks like Tensorflow, TFLite, Keras for machine learning model development High-level machine learning frameworks and hardware acceleration to improve the efficiency of neural network execution Training and testing low power and low memory machine learning models for running on the edge NN HW accelerator Extract model data from a tensorflow lite model and optimize it for deployment on the HW accelerator IoT devices, wireless communication protocols (e.g., BLE, Zigbee, MQTT, etc) and communication protocols (e.g., I2C, SPI, etc.) Cloud platforms like AWS Typescript or JVM based languages Personal skillset needed/desired Good communication skills, with the ability to effectively communicate technical information to both technical and non-technical audiences. Strong problem-solving and analytical skills. Ability to work independently and as part of a team. Good project management skills, with the ability to manage multiple projects simultaneously. Leadership skillset needed Ability to mentor and coach junior engineers. Ability to take ownership of assigned tasks and work with minimal supervision. Ability to collaborate effectively with team members and other departments. Practical details Location: San Diego, USA Salary: $137,000 Work Hours: Full-time #J-18808-Ljbffr

A leading construction company in California is seeking a Senior Project Engineer to provide technical support in project document control and administration. The ideal candidate will have a 4-year degree in engineering or business, along with experience in construction and design. This role offers competitive compensation and an excellent benefits package, alongside the opportunity to work for a company known for its commitment to employee welfare. #J-18808-Ljbffr

A leading semiconductor company in San Diego is seeking an experienced Senior Staff Engineer to lead internal prototyping and assembly. Responsibilities include overseeing assembly processes and mentoring junior engineers. The ideal candidate should possess extensive knowledge in semiconductor packaging technologies and a solid engineering background. Competitive compensation is offered with a focus on a collaborative work environment. #J-18808-Ljbffr

A semiconductor company is looking for an experienced engineer to join their Power Attainment team in San Diego. The role involves developing power models and optimizing performance for next-generation silicon solutions. Ideal candidates should have strong Python or C++ skills, experience with power analysis, and excellent problem-solving abilities. This role offers a competitive salary, hybrid work flexibility, and numerous benefits including PTO and parental leave. #J-18808-Ljbffr