Engineering Jobs in Foster, CA

Pay Rate: up to $38/hr on w2 (No C2C or 3rd parties)

Location: Onsite in Foster City, CA

Helping our client find a Logistics Operations Associate to support material movement and inventory operations within an electronic component production environment.

In this role, you’ll manage both physical and system-based material transactions, including receiving incoming purchase orders, kitting materials to production lines, performing cycle counts, and coordinating shipments. You’ll also partner with quality and production teams to resolve inventory discrepancies and support ongoing material operations projects.

The ideal candidate is detail-oriented, organized, and comfortable working in a fast-paced environment, with experience in inventory management and material-handling processes.

As a Logistics Operations Associate, you'll:

• Receive incoming materials, including performing physical and visual inspections and verifying documentation.
• Process internal material transfers and manage inbound and outbound shipments.
• Pick work orders and deliver materials to production lines.
• Perform inventory cycle counts and investigate discrepancies.
• Triage incoming materials for rework or scrap.
• Execute MRP transactions in SAP, including creating work orders, transferring inventory, and processing shipments.
• Communicate with production and engineering teams to resolve receiving issues and discrepancies.
• Consolidate and track materials pending repair or return, and support production planning activities.
• Monitor and follow up on material orders, prioritizing tasks based on urgency.
• Maintain organization and cleanliness of inventory locations, receiving docks, and warehouse areas.
• Ensure all required quality documentation is accurate and complete.
• Troubleshoot material movement issues and remove processing roadblocks.
• Track and report inventory levels, throughput, and material status.

Qualifications:

• Bachelor's Degree with 4 to 6 years of warehouse/inventory experience preferred
• MRP system experience & knowledge required (SAP, Oracle, Etc)
• Excellent interpersonal communications and organization skills, ability to multi-task while making effective decisions RMA, procurement or Return to Vendor experience a plus
• Attention to details and strong organizational skill
• Independent person and have ability to complete tasks with minimal supervision
• Team Player, Problem solver
• Comfortable working in a start up environment
• Proficient with MS office is required

Physical Requirements:

• 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:- Standing, walking, sitting, talking/listening, crouching or crawling, reaching with hands and arms
• Lift, carry, push and pull in excess of 25 pounds
• Occasionally required to stoop, kneel, climb and balance

Job Details:

Job Title: Manufacturing Technician

location: Foster City, CA 94404

Duration: 6+ Months

Pay rate range: $42.00 - $46.72/hour

Job Description:

• As an Additive Manufacturing Specialist at Client, you will serve as a technical anchor for the Additive Manufacturing (AM) Lab, driving the end-to-end realization of complex autonomous vehicle prototypes.
• Beyond standard operation, you will act as a Design-for-Manufacturability (DfM) consultant to engineering teams and internal clients, optimizing builds for high-performance materials and mission-critical throughput, unlocking new speed of prototype delivery.
• You are responsible for the strategic health of the lab, including process optimization, equipment evaluations, planning, and the technical guidance of prototyping workflows.

Responsibilities:

• Design Consultation & DfM: Actively support design reviews related to Additive Manufacturing (DfAM) with engineers to optimize geometries for SLA, SLS, and Polyjet; proactively identify failure risks in CAD models before they reach the build tray to minimize material waste.
• Process Engineering: Develop and document standardized build parameters and post-processing two essential workflows: Additive Manufacturing (primary) and Laser Cutting (secondary) to ensure repeatable, high-quality output across all AM and Laser Cutting platforms.
• Complex System Integration: Oversee the final assembly of high-fidelity prototypes, e.g. integrating 3D-printed components with CNC-machined parts and complex electronics.
• Post processing of prototype parts: Actively guide and execute post-processing work such as sanding, painting, inserts, dyeing and other part finishing related activities.
• Workflow Coordination: Facilitate the prioritization of incoming JIRA requests to ensure alignment with prototyping deadlines.
• Machine Maintenance, Repair and Troubleshooting: Quickly, safely and correctly troubleshoot, diagnose and lead repair activities (whether internally or externally) maximizing part throughput
• Technical Vendor Liaison: Act as a technical point of contact for vendor support, service coordination, and troubleshooting of Additive Manufacturing and Laser Cutting equipment.
• Knowledge Sharing: Serve as a Subject Matter Expert (SME) to share best practices on advanced AM techniques and safety protocols.

Qualifications:

• Education & Experience: Bachelor's Degree in Industrial Design or Engineering with 4 to 6 years of experience in high-stakes prototyping or advanced manufacturing environments, or equivalent.
• Technical Mastery: Deep expertise in the chemical and thermal properties of advanced resins and powders (SLA, SLS, FDM, and Polyjet); proven ability to make quick and sound technical recommendations on AM materials, processes and applications.
• Advanced CAD: High proficiency in Solidworks, CATIA, specifically for fixture design and modifying complex assemblies for printability.
• Advanced CAM: High proficiency in part processing software, aka "slicers", such as Materialize Magics, GrabCAD Print (Stratasys) and / or Autodesk Fusion (AM build extensions); and/or similar.
• Precision Metrology: Demonstrated ability to perform quality control using precision measurement tools to validate part accuracy against GD&T requirements.
• Strategic Problem Solving: A proven track record of improving lab efficiency, reducing build failure rates, or streamlining post-processing cycles.
• Cross-functional Collaboration: Demonstrated ability to drive outsized positive outcomes and impact through thoughtful, effective and regular cross-functional activities across other internal teams (CNC machining, Welding, etc.)

Bonus Qualifications:

• GD&T Proficiency: Ability to interpret and apply Geometric Dimensioning and Tolerancing to ensure functional fitment of prototype assemblies.
• Fabrication Versatility: Meaningful experience in other prototyping methodologies like: MIG/TIG welding and CNC operation experience.
• Safety & Compliance: Experience implementing OSHA-compliant shop safety programs or hazardous material management (HazMat).

Employee Benefits:

At LanceSoft, full time regular employees who work a minimum of 30 hours a week or more are entitled to the following benefits:

• Four options of medical Insurance

• Dental and Vision Insurance

• 401k Contributions

• Critical Illness Insurance

• Voluntary Permanent Life Insurance

• Accident Insurance

• Other Employee Perks

EEO Employer:

LanceSoft is a certified Minority Business Enterprise (MBE) and an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.

This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. LanceSoft makes hiring decisions based solely on qualifications, merit, and business needs at the time.

Our client looking for a Project Manager responsible for the end-to-end strategy for the communication of our internal ridership programs across all markets. This is a 40 hr/week, 6 month (potential to extend) assignment, hybrid in Foster City, CA!

Top Must Have Skills:
- Program/project management
- Data Analysis
- Have built comprehensive dashboards for large enterprise teams
- Experience presenting to executive level teams

Responsibilities: 
- Partner closely with Program Management, Policy, Legal, Product, Engineering, and Research to ensure strong alignment on internal rider program goals and success metrics. 
- Manage internal rider campaigns end-to-end including project timeline management and executive reviews. Campaigns will involve the development of rider participation instructions and FAQs and content for our intranet, weekly all hands, newsletter, Slack, and other internal communication channels as needed. 
- Package complex information in an engaging and approachable way to increase internal ridership and help us gain crucial early insights and operational experience. 
- Own the full lifecycle of internal ridership communications from gathering information, to aligning with stakeholders, developing the core narrative, and executing the communication strategy. 
- Continuously assess and analyze the effectiveness of current programs and identify opportunities for improvement. 
- Prepare regular reports on program effectiveness and take action to implement adjustments. 

Qualifications: 
- Bachelors degree 
- 8+ years experience in project management 
- Excellent oral and written communication skills 
- Ability to understand and synthesize complex or technical ideas into clear messaging 
- Excellent project management skills, with the ability to lead and manage multiple time-sensitive projects under tight deadlines 
- Strong interpersonal skills and work ethic 
- Meticulous attention to detail and organizational abilities 
- Ability to work effectively in a team environment and manage relationships with all levels of management

In this position, you may have access to client or customer systems, confidential and/or proprietary information or data. This position is onsite and requires you to work closely with other individuals in a collaborative team environment.

Benefits

Please Find Below Job Details:

Job Title: Instructional Designer

Duration: 06 months

Location: Foster City, CA

Payrate: $62/hr - $65/hr

In this role, you’ll translate complex business requirements into engaging learning solutions, collaborating closely with subject matter experts and key stakeholders. You’ll lead the design and development of impactful, measurable courses and resources that enable teams to effectively engage with and service the company’s products.

The ideal candidate brings a strong grasp of adult learning principles and a track record of creating innovative, learner-focused training.

As an Instructional Designer, you'll:

• Design educational content rooted in instructional design principles, ensuring learning objectives align with business priorities.
• Partner with SMEs and cross-functional teams to co-create dynamic curricula (classrooms, workshops, and e-learning), using AGILE methodologies for continuous improvement.
• Create interactive online learning experiences with authoring tools, focusing on clarity, structure, and collaboration with eLearning developers, while streamlining production through evolving templates and tools.
• Assess and refine training solutions for quality, scalability, and measurable impact, incorporating leader input and aligning with brand guidelines and strategic priorities.
• Facilitate planning sessions with stakeholders and synthesize feedback into clear, actionable instructional strategies; travel up to 15% as needed.

Role specifics and target candidate profile

• Follows the ADDIE methodology -Problem solving skills -Able to create a simplified training solution around complex technical concepts -Ideally has Automotive industry background, designing trainings around high voltage/electrical systems -Very independent, able to hit the ground running with minimal oversight/direction To summarize the role in a sentence: "Someone who can take a bunch of complex technical information and synthesize it so folks from various backgrounds and technical know-how can understand and learn from."

Required skills

• Qualifications 6-8 years of instructional design experience, with a focus on blended learning, OLT, ILT, and vILT. Automotive / EV / Collision industry preferred but not required.
• 2+ years of experience in the automotive industry is preferred but not required.
• Strong conceptual design skills with the ability to visualize and articulate instructional flows and learner experiences.
• Able to work independently and collaboratively in a fast-paced environment with frequent change and limited oversight.
• Strong communicator and creative problem solver who brings curiosity, clarity, and empathy to learning design.
• Experience creating learning evaluation plans. Working knowledge of eLearning authoring tools, such as Articulate 360 (Rise & Storyline), Camtasia, Vyond, Canva, and the Adobe Creative Suite.
• Bachelor's degree in Instructional Design, Educational Technology, Engineering, or related field. Portfolio of ID work samples preferred but not required

With data being the fuel that drives our future - our strategies, policies, and business successes around data will define our future growth prospects. Unlocking the value available through the innovative use of data on behalf of consumers, businesses, and communities is key to our future. With our ongoing commitment to Visa’s Data Values and the responsible use of data, we at Visa have a bold vision to continue to grow and accelerate our data-

The AI Products & Analytics team under the Global Data Office is creating the next generation of scalable and responsible AI, ML and Data solutions and products to solve client and consumer problems. We are a cross‑functional team of data scientists, product/program managers, data engineers and ML Engineers focused on generating value for the payment ecosystem. We are dreaming of the next generation of AI features and products, Agentic AI solutions and high‑quality analytics and data science support for our internal partner teams.

This position is in the AI Practices & COE sub‑team under the AI Products & Analytics team, focused on AI Transformation of the Global Data Office. The AI Transformation program aims to accelerate operational efficiency and foster innovation through targeted automation. By deploying scalable AI solutions to existing time‑consuming workflows with high potential for AI disruption, this will ensure measurable, sustainable benefits across the Global Data Office.

• 
  
• Design and implement agentic AI workflows to automate multi‑step tasks and drive business impact.
  
• Integrate predictive, generative, and prescriptive AI models into enterprise processes for decision support and efficiency gains.
  
• Apply ML, deep learning, and NLP techniques to diverse datasets, building scalable, secure data pipelines for AI training, inference, and monitoring.
  
• Collaborate with product managers, engineers, and domain experts to embed AI solutions into operations.
  
• Define, track, and report KPIs to measure productivity improvements, cost savings, and accuracy gains.
  
• Validate AI impact through experimentation frameworks such as A/B testing and performance benchmarking.
  
• Document workflows, models, and processes to ensure knowledge sharing and adherence to best practices.
  
• Stay current on emerging AI frameworks and LLM‑based automation, prototyping innovative solutions for rapid adoption.
  
• Communicate complex technical concepts clearly to technical and non‑technical stakeholders, fostering cross‑functional collaboration.
  

This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.

Relocation assistance is not provided for this role.

• 
  
• 2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD).
  

• 
  
• 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD).
  
• 2+ years of hands‑on work experience with process/workflow automation and experience deploying Agentic AI solutions.
  
• Advanced Degree with specialization in AI, Computer Science, Data Science, Engineering, Statistics or a highly quantitative field.
  
• Strong technical proficiency in machine learning and AI frameworks, including TensorFlow, PyTorch, scikit‑learn, and Hugging Face Transformers.
  
• Experience with agentic AI and orchestration tools such as LangChain, LlamaIndex, or similar frameworks for multi‑step task automation.
  
• Solid data engineering skills, including SQL, Spark, Databricks, Airflow, Kafka, and ETL/ELT pipeline development.
  
• Proficiency in Python (primary) and familiarity with Java, Scala, or R.
  
• Experience with cloud and MLOps practices, including CI/CD, model monitoring, retraining pipelines, and containerization (Docker, Kubernetes).
  

Work Authorization: Permanent Authorization to work in the U.S. is a precondition of employment for this position. Visa will not sponsor applicants for work visas in connection with this position.

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel 5‑10% of the time.

Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 137,400.00 to 193,750.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job‑related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Location: Onsite in Foster City, CA

Helping our client find a Model Based System Engineer that will be the technical point of contact for the company's mobility service digital twin.

In this role, you’ll be responsible for maintaining standards, methodologies, style guides, model architecture, model quality, model integrations, and adoption strategies across all systems engineering departments. You will partner closely with IT engineering applications department to enact changes and scale MBSE adoption.

The ideal candidate brings strong MBSE framework and methodology expertise and hands-on modeling experience.

As a Model Based System Engineer, you'll:

• Maintain and mature the E2E Systems Engineering MBSE framework and methodology (process, governance, and execution guidance).
• Assist IT engineering applications department with integration between Catia Magic and other software systems (PLM, Requirements Repository) by creating PRD’s and project plans.
• Provide MBSE enablement, reviews, and working sessions for user teams (Functional Safety Systems, Product Software Systems, Vehicle Systems, Advanced Hardware Systems).

Qualifications:

• 5 years of engineering experience
• Bachelor's degree or equivalent in Engineering, Computer Science, or Physics.
• Direct Cameo/Magic/No-Magic modeling experience
• Working knowledge of SysML, Model-Based Systems Engineering (MBSE), Digital Engineering, and System of Systems engineering