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Temporary Computer Science Jobs in Oakland, CA (NOW HIRING)

VOLT

Jr. Computer Server Repair Tech

Fremont, CA · On-site

$22 - $25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Assemble and rework parts on computer servers according to specs These are full-time temp to hire ... You can access our privacy policy at volt-information-sciences-privacy-policy.pdf

Avathon

Senior AI Scientist - Planning

Pleasanton, CA

$160K - $240K/yr

  • Medical

  • Retirement

D. or master's degree in operations research, Industrial Engineering, Statistics, Computer Science ... temporary roles are not eligible for the above benefits. Compensation Pay Range: $160k - $240k ...

City of Berkeley, CA

Epidemiologist (Temporary)

Berkeley, CA · On-site

$98K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... scientific exploration, free speech, and the arts, and home to over 50 parks, a top-ranked ... computer and software proficiency, or any other job-related knowledge, skill, ability or ...

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All JobsComputer Science JobsTemporary Computer Science JobsTemporary Computer Science Jobs in Oakland, CA

Temporary Computer Science information

What is the easiest temporary computer science job to get?

Temporary computer science roles such as data entry, basic technical support, or entry-level QA testing are generally the easiest to secure, often requiring minimal experience or certifications. These positions typically involve straightforward tasks like troubleshooting, testing software, or managing simple data, making them accessible for those new to the field.

What is the difference between Temporary Computer Science vs Software Developer?

AspectTemporary Computer ScienceSoftware Developer
CredentialsTypically requires a degree in Computer Science or related fieldSame as Temporary Computer Science, often with additional certifications
Work EnvironmentTemporary, project-based roles often in various industriesFull-time or contract positions within companies or tech firms
Employer & Industry UsageUsed by staffing agencies and companies for short-term needsEmployed directly by companies or as contractors for software projects
Search & Comparison IntentPeople looking for short-term tech roles or project-based workIndividuals seeking long-term or permanent software development roles

Temporary Computer Science roles are typically short-term, project-based positions requiring a background in computer science. Software Developers often work in more permanent or long-term roles, focusing on designing, coding, and maintaining software. While both roles require similar credentials, their work environments and employment types differ significantly.

What is a temporary computer science?

Temporary computer science jobs are short-term positions in the field of computer science, often filled to meet project-based needs, seasonal workloads, or to cover for permanent staff on leave. These roles can include positions such as software developers, IT support specialists, data analysts, or research assistants working on fixed-term contracts. Temporary jobs provide valuable experience, networking opportunities, and a chance to build technical skills, which can be beneficial for students, recent graduates, or professionals seeking flexibility.

What skills and qualifications are needed to thrive as a temporary computer science professional?

To thrive as a Temporary Computer Science professional, you need a solid understanding of programming languages, algorithms, and software development principles, often demonstrated through a relevant degree or equivalent experience. Familiarity with version control systems (like Git), integrated development environments (IDEs), and possibly certifications such as CompTIA or AWS can be highly beneficial. Strong problem-solving skills, adaptability, and effective communication help you integrate quickly and contribute to diverse teams or short-term projects. These skills ensure you can deliver quality results efficiently, adapt to new environments, and support organizational technology needs on a temporary basis.

What do temporary computer science professionals do?

Temporary computer science professionals are often brought on to support ongoing projects with tight deadlines, such as software testing, bug fixing, data migration, or developing specific features. They may also assist with code reviews, documentation, or updating legacy systems. These tasks are crucial for keeping project timelines on track and ensuring the quality of deliverables. Temporary team members typically work closely with permanent staff, participating in team meetings and collaborating through agile methodologies to achieve shared objectives.

What are the most commonly searched types of Computer Science jobs in Oakland, CA?

The most popular types of Computer Science jobs in Oakland, CA are:

What job categories do people searching Temporary Computer Science jobs in Oakland, CA look for?

The top searched job categories for Temporary Computer Science jobs in Oakland, CA are:

What cities near Oakland, CA are hiring for Temporary Computer Science jobs?

Cities near Oakland, CA with the most Temporary Computer Science job openings:

Temporary Computer Science jobs near you

Intern - Microelectronics Architecture/Hardware Energy Efficiency

SLAC National Accelerator Laboratory

Menlo Park, CA • On-site

Full-time

Re-posted 19 days ago

Job description

Microelectronics Architecture/Hardware Energy Efficiency Internship
Position Overview:
The summer internship will consist of estimating energy used in computing of hardware systems based on published data and also those in research. The intern should have a background in physics, or electrical or computer engineering and computer science. As part of a new initiative from the Department of Energy (DOE) on Energy Efficient Computing, SLAC is offering summer internships for graduate students at SLAC National Laboratory (& Stanford University).
The internship will focus on estimating energy used in computing of hardware systems based on published data and also those of research systems in laboratories for which data are available. During the internship, the student will work using the basics of computing architecture, memory, interconnects, and hardware to estimate energy requited per operation for different architectures with different implementations of instruction sets and different architectures and processing units like GPU, TPUs etc. This is will be compared with top-down estimates1 for providing more precise bounds on energy required. The systems of relevance will include general purpose von Neumann architectures (CPUs and GPUS) and special purpose architectures (neuromorphic systems), ASICs and FPGAs. The analysis will provide basis to a larger DOE effort currently developing roadmap for energy efficiency in computing. The application of this analysis can cross ML systems such as those used in Natural Language Processing and also hardware used for scientific computing such as Top500 covering applications including machine learning and measurements in areas of science and engineering including Chemistry, Chemical Engineering, Material Science, Fluid Mechanics, Aerospace Engineering, Computer Science, etc.
The objective of this internship is to give students an opportunity to gain valuable hands-on experience by working on real-world problems related to bridging their expertise in hardware with new perspectives in thinking about computing. This experience will not only enhance their skills and knowledge in the field. It will also give them a boost when applying for jobs or graduate programs in the future. The mentor serves as a co-advisor, and interns may have the opportunity to continue their research during the academic year to fulfill a thesis or other academic requirements.
Specific responsibilities (include but are not limited to):
  • Identify the different architectures and hardware including those used in machine learning, scientific computing etc.
  • Identify the instruction
  • Outline the nature and quantity of data required for each of the hardware, in discussion with the mentor.
  • Conduct data analysis to ascertain the quality and verity of data, in partnership with the mentor.
  • Develop models for estimating energy efficiencies for the problems in working with the mentor.
  • Carry out Verification, Validation and critical analysis of their estimates
  • Refine and develop models to integrate scientific knowledge in the model formulation and training phases.
  • Prepare reports and scientific publications outlining the advances under the aegis of the mentor.

Opportunities and Benefits
  • Growth and mentorship from exceptionally talented engineers and scientists from SLAC and Stanford University.
  • A mission-driven, stable, collaborative, highly interdisciplinary, and supportive work environment.
  • Opportunity to experience a multidisciplinary research environment, integrating knowledge from many subject areas spanning computer engineering, physical sciences, applied mathematics, and software applications.

Note: This is an hourly, non-benefits eligible temporary-nonexempt, internship position (work at 50% full-time equivalent or more), not to exceed 980 hours in six consecutive months.
Eligible applicants must be at least 18 years of age, currently enrolled in an educational program or recently graduated, and have US work authorization. The on-site internship program is for a period of eight weeks and takes place between May and Mid-August, with the start date being contingent on the convenience of the candidate.
To be successful in this position, candidates should:
  • Pursuing a Master's or Doctoral degree in a science, engineering or equivalent discipline.
  • Strong communication skills.
  • Ability to work in a collaborative environment.
  • Passionate about innovative solutions for Science & Engineering problems.
  • Some prior experience at Python programming would be beneficial.

SLAC Employee Competencies:
  • Effective Decisions: Uses job knowledge and solid judgment to make quality decisions in a timely manner.
  • Self-Development: Pursues a variety of venues and opportunities to continue learning and developing.
  • Dependability: Can be counted on to deliver results with a sense of personal responsibility for expected outcomes.
  • Initiative: Pursues work and interactions proactively with optimism, positive energy, and motivation to move things forward.
  • Adaptability: Flexes as needed when change occurs, maintains an open outlook while adjusting and accommodating changes.
  • Communication: Ensures effective information flow to various audiences and creates and delivers clear, appropriate written, spoken, presented messages.
  • Relationships: Builds relationships to foster trust, collaboration, and a positive climate to achieve common goals.

Physical requirements and working conditions:
  • Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job.

Work Standards:
  • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
  • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for environment, safety and security; communicates related concerns; uses and promotes safe behaviors based on training and lessons learned. Meets the applicable roles and responsibilities as described in the ESH Manual, Chapter 1General Policy and Responsibilities: http://www-group.slac.stanford.edu/esh/eshmanual/pdfs/ESHch01.pdf
  • Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, http://adminguide.stanford.edu
  • As a national laboratory, SLAC National Accelerator Laboratory is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require employees to obtain and maintain a HSPD-12 Personal Identity Verification (PIV) Credential. To obtain this credential, employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication. The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.

  • Classification Title: SLAC Intern Students [Level II - III]
  • Job Code: 0901
  • Employment Duration : 12 weeks

The expected pay range for this position is $31.02 - $39.26 per hour.
SLAC National Accelerator Laboratory/Stanford University provides pay ranges representing its good faith estimate of the salary or hourly wage the university reasonably expects to pay for a position upon hire. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs.
At SLAC/Stanford, base pay represents only one aspect of the comprehensive rewards package.

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