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Logistics and Warehousing Jobs in San Jose
2 positions found
A
Data Architect I
Salary not disclosed
Title: Data and Cloud Solutions Architect Location: San Jose, CA (100% on-site) Pay: $65/hr Job Description: The Data and Cloud Solutions Architect will be a key contributor to designing, evolving, and optimizing our company's cloud-based data architecture.
This role requires a strong background in data engineering, hands-on experience building cloud data solutions, and a talent for communicating complex designs through clear diagrams and documentation.
Core Responsibilities Cloud Data Architecture Design & Strategy: Design and implement secure, scalable cloud-based data pipelines, data warehouses, and data lakes.
Drive the selection and integration of cloud data services (e.g., storage, databases, analytics tools).
Develop comprehensive cloud data strategies in alignment with business goals.
Diagramming & Documentation: Produce clear and informative visual diagrams (e.g., data flow diagrams, entity-relationship diagrams, system architecture diagrams) to guide implementation and knowledge sharing.
Maintain detailed documentation of data architecture, design decisions, and processes.
Hands-on Implementation & Optimization: Actively contribute to the hands-on implementation of cloud data solutions.
Proactively identify and implement performance optimization strategies for cloud data systems.
Troubleshoot and resolve issues related to data pipelines, data quality, and data accessibility.
Must Have: Bachelor's of Engineering in Computer Science "Engineering degree in another branch such as Electrical, Civil, Mechanical, or IT, etc it will not be considered" Minimum of 5 years of hands-on data engineering experience using distributed computing approaches (Spark, Map Reduce, DataBricks) Proven track record of successfully designing and implementing cloud-based data solutions in Azure Deep understanding of data modeling concepts and techniques.
Strong proficiency with database systems (relational and non-relational).
Exceptional diagramming skills with tools like Visio, Lucidchart, or other data visualization software.
Preferred Qualifications Advanced knowledge of cloud-specific data services (e.g., DataBricks, Azure Data Lake).
Expertise in big data technologies (e.g., Hadoop, Spark).
Strong understanding of data security and governance principles.
Experience in scripting languages (Python, SQL).
Additional Skills Communication: Exemplary written and verbal communication skills to collaborate effectively with all teams and stakeholders.
Problem-solving: Outstanding analytical and problem-solving skills for complex data challenges.
Teamwork & Leadership: Ability to work effectively in cross-functional teams and demonstrate potential for technical leadership.
This role requires a strong background in data engineering, hands-on experience building cloud data solutions, and a talent for communicating complex designs through clear diagrams and documentation.
Core Responsibilities Cloud Data Architecture Design & Strategy: Design and implement secure, scalable cloud-based data pipelines, data warehouses, and data lakes.
Drive the selection and integration of cloud data services (e.g., storage, databases, analytics tools).
Develop comprehensive cloud data strategies in alignment with business goals.
Diagramming & Documentation: Produce clear and informative visual diagrams (e.g., data flow diagrams, entity-relationship diagrams, system architecture diagrams) to guide implementation and knowledge sharing.
Maintain detailed documentation of data architecture, design decisions, and processes.
Hands-on Implementation & Optimization: Actively contribute to the hands-on implementation of cloud data solutions.
Proactively identify and implement performance optimization strategies for cloud data systems.
Troubleshoot and resolve issues related to data pipelines, data quality, and data accessibility.
Must Have: Bachelor's of Engineering in Computer Science "Engineering degree in another branch such as Electrical, Civil, Mechanical, or IT, etc it will not be considered" Minimum of 5 years of hands-on data engineering experience using distributed computing approaches (Spark, Map Reduce, DataBricks) Proven track record of successfully designing and implementing cloud-based data solutions in Azure Deep understanding of data modeling concepts and techniques.
Strong proficiency with database systems (relational and non-relational).
Exceptional diagramming skills with tools like Visio, Lucidchart, or other data visualization software.
Preferred Qualifications Advanced knowledge of cloud-specific data services (e.g., DataBricks, Azure Data Lake).
Expertise in big data technologies (e.g., Hadoop, Spark).
Strong understanding of data security and governance principles.
Experience in scripting languages (Python, SQL).
Additional Skills Communication: Exemplary written and verbal communication skills to collaborate effectively with all teams and stakeholders.
Problem-solving: Outstanding analytical and problem-solving skills for complex data challenges.
Teamwork & Leadership: Ability to work effectively in cross-functional teams and demonstrate potential for technical leadership.
J
Staff Full-Chip Timing Engineer
🏢 Jobot
Salary not disclosed
Looking for an Innovative Staff Full-Chip Timing (STA) Engineer
- On Site This Jobot Job is hosted by: Lindsey Cusic Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $175,000
- $235,000 per year A bit about us: We are a growing semiconductor design organization focused on advanced ASIC and SoC development.
Our team is built around deep technical expertise, fast execution, and a strong ownership mindset.
We work on complex, high-performance silicon solutions that require tight cross-functional collaboration across physical design, timing, architecture, and verification.
As we continue scaling our engineering team in the Bay Area, we are looking for experienced contributors who thrive in technically challenging, execution-focused environments.
Why join us? Work on advanced-node silicon programs with real tapeout ownership Join a technically strong, highly collaborative engineering culture High-impact role with visibility across design and signoff stages Onsite collaboration with experienced physical design and architecture teams Competitive compensation aligned with Bay Area semiconductor market Opportunity to influence methodology and drive execution standards This is a role for engineers who want to own outcomes — not just support tasks.
Job Details We are seeking a Staff Full-Chip Timing Engineer to lead static timing analysis and signoff closure at the top level of complex ASIC/SoC programs.
Responsibilities: Own full-chip static timing analysis from synthesis through signoff Drive timing closure across multi-mode, multi-corner (MMMC) environments Perform deep analysis using PrimeTime (or equivalent) Identify and implement ECO timing fixes Collaborate closely with Physical Design, CTS, Synthesis, and Architecture teams Support advanced-node tapeouts (7nm/5nm and below preferred) Contribute to timing methodology and flow improvements Qualifications: 8+ years of semiconductor industry experience Demonstrated ownership of full-chip STA and signoff timing closure Strong expertise in PrimeTime (Tempus experience a plus) Experience working on advanced technology nodes Solid understanding of CTS, setup/hold analysis, OCV/AOCV, and crosstalk Strong scripting skills (Tcl required; Python a plus) Experience supporting successful tapeouts Location: Onsite – San Jose, CA Compensation: $185,000 – $235,000 base salary (commensurate with experience) Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
- On Site This Jobot Job is hosted by: Lindsey Cusic Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $175,000
- $235,000 per year A bit about us: We are a growing semiconductor design organization focused on advanced ASIC and SoC development.
Our team is built around deep technical expertise, fast execution, and a strong ownership mindset.
We work on complex, high-performance silicon solutions that require tight cross-functional collaboration across physical design, timing, architecture, and verification.
As we continue scaling our engineering team in the Bay Area, we are looking for experienced contributors who thrive in technically challenging, execution-focused environments.
Why join us? Work on advanced-node silicon programs with real tapeout ownership Join a technically strong, highly collaborative engineering culture High-impact role with visibility across design and signoff stages Onsite collaboration with experienced physical design and architecture teams Competitive compensation aligned with Bay Area semiconductor market Opportunity to influence methodology and drive execution standards This is a role for engineers who want to own outcomes — not just support tasks.
Job Details We are seeking a Staff Full-Chip Timing Engineer to lead static timing analysis and signoff closure at the top level of complex ASIC/SoC programs.
Responsibilities: Own full-chip static timing analysis from synthesis through signoff Drive timing closure across multi-mode, multi-corner (MMMC) environments Perform deep analysis using PrimeTime (or equivalent) Identify and implement ECO timing fixes Collaborate closely with Physical Design, CTS, Synthesis, and Architecture teams Support advanced-node tapeouts (7nm/5nm and below preferred) Contribute to timing methodology and flow improvements Qualifications: 8+ years of semiconductor industry experience Demonstrated ownership of full-chip STA and signoff timing closure Strong expertise in PrimeTime (Tempus experience a plus) Experience working on advanced technology nodes Solid understanding of CTS, setup/hold analysis, OCV/AOCV, and crosstalk Strong scripting skills (Tcl required; Python a plus) Experience supporting successful tapeouts Location: Onsite – San Jose, CA Compensation: $185,000 – $235,000 base salary (commensurate with experience) Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
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