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Commission Math Major Computer Science Minor Jobs in Boise, ID

GRAND CANYON UNIVERSITY

App Developer

Boise, ID · On-site

$60 - $80/hr

Complete courses in coding, computer science, information technology, and mathematics. Participation in coding clubs, summer camps, or job shadowing can provide early exposure. College Degree: A ...

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GRAND CANYON UNIVERSITY

Java Developer

Boise, ID · On-site

$48.50 - $62.75/hr

Consider adding any computer science courses the school may offer, in addition to related subjects like math and computer science. College Degree Java developers, also called software developers ...

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All JobsMath Major Computer Science Minor JobsCommission Math Major Computer Science Minor JobsCommission Math Major Computer Science Minor Jobs in Boise, ID

Commission Math Major Computer Science Minor information

See Boise, ID salary details

$9

$24

$56

How much do commission math major computer science minor jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for commission math major computer science minor in Boise, ID is $24.21, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $27.69 per hour, depending on experience, location, and employer.

What is a commission math major computer science minor?

A Commission Math Major Computer Science Minor refers to individuals who have completed a major in mathematics and a minor in computer science, typically as part of a college degree program, and are now working in commission-based roles. These professionals often combine their strong analytical and technical skills to work in fields such as finance, data analysis, or technology sales, where compensation is partly or fully based on commissions. Their background allows them to analyze complex data, develop algorithms, or sell technical products and services effectively. This combination of skills is highly valued in roles that require both quantitative proficiency and technical know-how.

What are the key skills and qualifications needed to thrive as a commission math major computer science minor?

To thrive as a Commission Analyst with a background in math and computer science, you need strong analytical, quantitative, and problem-solving abilities, typically supported by a degree in mathematics and coursework in computer science. Familiarity with data analysis tools (such as Excel, SQL, Python), commission calculation software, and business intelligence platforms is highly valuable. Excellent attention to detail, communication skills, and the ability to work collaboratively across departments help set candidates apart. These skills ensure accurate commission calculations, effective data-driven decision-making, and seamless integration of technical solutions in business environments.

How can a background in mathematics and computer science enhance performance in a commission math major computer science minor role?

A strong foundation in mathematics equips you with advanced problem-solving and quantitative analysis skills, while a computer science minor adds valuable programming and data management abilities. In a commission-based analytical role, this combination enables you to efficiently interpret complex datasets, automate routine calculations, and create models that support data-driven sales or financial decisions. Collaborating with sales teams, you'll often translate raw data into actionable insights, helping both your team and clients achieve better outcomes. This synergy not only improves your effectiveness but can also accelerate your career progression in data-focused, high-reward environments.

What is the difference between Commission Math Major Computer Science Minor vs Data Analyst?

AspectCommission Math Major Computer Science MinorData Analyst
Required CredentialsMath degree, minor in CS, analytical skillsDegree in Math, CS, or related field; proficiency in data tools
Work EnvironmentOffice, tech companies, finance, consultingOffice, corporate, finance, healthcare, tech
Industry UsageFinance, tech, consulting, researchBusiness, finance, healthcare, marketing
Common Search/ComparisonYesYes

The Commission Math Major Computer Science Minor typically involves a strong foundation in mathematics with a minor in computer science, preparing individuals for analytical and technical roles. Data Analysts focus on interpreting data, creating reports, and supporting decision-making using statistical tools. While both roles require analytical skills and technical knowledge, Data Analysts are more focused on data interpretation and visualization, whereas Commission Math Major Computer Science Minor roles may involve broader mathematical and computational problem-solving.

What are the most commonly searched types of Math Major Computer Science Minor jobs in Boise, ID?

The most popular types of Math Major Computer Science Minor jobs in Boise, ID are:

Commission Math Major Computer Science Minor jobs near you

Member of Technical Staff, AI Engineering

Micron Technology

Boise, ID • On-site

Full-time

Re-posted 5 days ago

Micron Technology rating

8.6

Company rating: 8.6 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

26th of 161 rated electronics manufacturers

Job description

Job Summary:
Micron Technology is a world leader in innovating memory and storage solutions. They are seeking a Member of Technical Staff in AI Engineering to architect and optimize large-scale AI systems, collaborating with data scientists and hardware architects to enhance performance in manufacturing workflows.
Responsibilities:
• Architect and complete large-scale custom model training and fine-tuning jobs (SFT, RLHF) on multi-node, multi-GPU clusters.
• Optimize training throughput and memory efficiency using distributed training strategies (FSDP, DeepSpeed, Megatron-LM) and mixed-precision techniques (FP16/BF16).
• Design and develop autonomous AI Agents capable of multi-step reasoning, planning, and tool execution to automate complex manufacturing workflows.
• Analyze and profile complex workloads (e.g., LLM training, Rendering pipelines) to identify bottlenecks in compute, memory bandwidth, and latency.
• Write and optimize high-performance kernels using CUDA, HIP, or custom assembly (PTX/SASS) to unlock hardware capabilities.
• Collaborate with Hardware Architects to define features for next-generation GPUs based on workload characterization.
• Design and implement performance regression testing suites to catch degradations in drivers or compilers.
• Mentor engineers who are developing skills in parallel programming paradigms and optimization techniques.
Qualifications:
Required:
• 10+ years of experience with deep expertise in GPU architecture (memory hierarchy, tensor cores, NVLink) and GPU resource management across cloud and on‑prem environments, along with 5+ years in performance optimization, parallel computing, and low‑level systems using C++ and GPGPU frameworks (CUDA preferred; HIP/OpenCL/Metal acceptable).
• Strong hands-on experience building scalable ML systems, including distributed training (DDP, FSDP), model parallelism, and end-to-end automation of training, testing, and deployment workflows.
• Deep proficiency in LLMs, including prompt engineering, tool/function calling, chain-of-thought reasoning, fine-tuning with PEFT methods (LoRA, QLoRA), and inference optimization using engines like vLLM and TensorRT-LLM.
• Experience developing GenAI applications and AI agents using frameworks such as LangChain, LangGraph, LlamaIndex, and AutoGen, with strong knowledge of ML frameworks (PyTorch required; TensorFlow/scikit-learn a plus).
• Strong programming in Python (preferred) or Java, with experience in CI/CD and cloud-native tools (Git, Jenkins, Docker, Kubernetes); excellent communication skills, fast-paced delivery mentality, and a Bachelor’s or Master’s degree in Computer Science, Statistics, or a related field.
Preferred:
• Ph.D. in Computer Science, Statistics, or related field (or equivalent experience), with strong foundations in mathematics, probability, statistics, and algorithms.
• Experience with HPC job schedulers (e.g., Slurm) and orchestrating large-scale GPU workloads on Kubernetes using tools such as Ray and Kubeflow.
• Strong expertise in CUDA programming, Triton kernels, and developing custom C++ extensions for PyTorch to optimize and accelerate workloads.
• Experience designing and coordinating multi-agent systems, including collaboration between specialized agents in complex architectures.
• Proven ability to productionize data science solutions, with experience in computer vision and/or signal processing for classification and feature extraction.
Company:
Micron Technology is a semiconductor company that produces DRAM, SDRAM, flash memory, SSD and CMOS image sensing chips. Founded in 1978, the company is headquartered in Boise, USA, with a team of 10001+ employees. The company is currently Late Stage.

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