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Remote Google Software Engineer Jobs in Arkansas

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer's computational drug discovery project. In this role, you'll apply your expertise ...

Candidate can live anywhere in the United States. #LI-MP2 #LI-REMOTE Basic Requirements * 8+ years ... AND 5+ years of software engineering/development experience * AND 2+ year of Kubernetes and Docker ...

Digital Test Engineer

Little Rock, AR · On-site +1

$75K - $110K/yr

About the role The Digital Test Engineer is responsible for executing software quality assurance ... Otherwise, this is a remote position. Core responsibilities include: * Execute hands-on manual and ...

About the role The Digital Test Engineer is responsible for executing software quality assurance ... Otherwise, this is a remote position. Core responsibilities include: * Execute hands-on manual and ...

Digital Test Engineer

Little Rock, AR · On-site +1

$75K - $110K/yr

About the role The Digital Test Engineer is responsible for executing software quality assurance ... Otherwise, this is a remote position. Core responsibilities include: * Execute hands-on manual and ...

We are open to remote candidates. In this role, the Environmental Engineer is responsible for ... Experience with environmental data systems or EHS management software * Ability to identify and ...

Senior Manager, Embodied AI

Little Rock, AR · On-site +1

$296K - $453K/yr

Remote/Hybrid Sunnyvale, California, United States of America Remote - United States Full time JR ... You will manage AI/ML Engineers, support their career growth, and guide the team's technical ...

New

Senior Manager, Embodied AI

Little Rock, AR · On-site +1

$296K - $453K/yr

Remote/Hybrid Sunnyvale, California, United States of America Remote - United States Full time JR ... You will manage AI/ML Engineers, support their career growth, and guide the team's technical ...

New

Showing results 21-40

Remote Google Software Engineer information

What is a remote Google software engineer?

Remote Google Software Engineers are software development professionals employed by Google who work from locations outside of traditional Google office spaces. They use technology to collaborate with colleagues, design and implement software solutions, and contribute to Google's products and services. Remote engineers typically participate in virtual meetings, code reviews, and agile development processes using cloud-based tools. This role allows for flexibility in work location while maintaining high standards of productivity and collaboration.

What skills and qualifications are needed to thrive as a remote Google software engineer?

To thrive as a Remote Google Software Engineer, you need strong programming skills (typically in languages like Python, Java, or C++), a solid grasp of computer science fundamentals, and a relevant degree or equivalent experience. Familiarity with version control systems like Git, cloud platforms such as Google Cloud, and internal tools or APIs is highly beneficial, as is experience with distributed systems. Excellent communication, self-motivation, and collaboration skills are crucial for remote teamwork and problem-solving. These abilities enable engineers to deliver high-quality, scalable solutions efficiently while remaining aligned and productive in a distributed work environment.

How does a remote Google software engineer stay connected and collaborate effectively with their team?

As a Remote Google Software Engineer, maintaining strong communication is key to successful collaboration. Engineers use a variety of tools such as Google Meet, Chat, and shared documents to coordinate with teammates across different time zones. Regular stand-up meetings, code reviews, and pair programming sessions help ensure alignment and foster teamwork. Google also encourages participation in virtual team-building activities and provides resources to help remote employees feel integrated and supported.

What is the difference between Remote Google Software Engineer vs Remote Amazon Software Engineer?

AspectRemote Google Software EngineerRemote Amazon Software Engineer
Required CredentialsBachelor's/Master's in CS or related field, strong coding skillsBachelor's/Master's in CS or related field, strong coding skills
Work EnvironmentCollaborative, innovative, often flexible hours, remote-friendlyFast-paced, customer-centric, remote or hybrid options
Employer & Industry UsageGoogle, tech, internet servicesAmazon, e-commerce, cloud computing
Common Search & ComparisonYesYes

Both Remote Google Software Engineers and Remote Amazon Software Engineers require similar technical credentials and work in remote, tech-driven environments. While Google emphasizes innovation and research, Amazon focuses on customer satisfaction and operational efficiency. Candidates often compare these roles to find the best fit based on industry, company culture, and career goals.

What are the most commonly searched types of Google Software Engineer jobs in Arkansas?

The most popular types of Google Software Engineer jobs in Arkansas are:

Bioinformatics Software Engineer

micro1 AI

Fayetteville, AR • Remote

$80 - $110/hr

Part-time

This job post has expired today. Applications are no longer accepted.


Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.